{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# HiSeq data H3K27Ac analyses for CAL51_ChIPrep_Sep2018"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Find differentially bound peaks in ChIP-seq datasets\n",
    "\n",
    "- [X] Venn diagrams for the overview of shared/unique peaks \n",
    "- [X] Find differential regions and generate MA plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "Create all neccessary subfolders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/metadata\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks\n",
    "mkdir -p /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "ln -s /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/CAL51_chiprep-se-with-control/CAL51*.bam /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads 2> /dev/null\n",
    "ln -s /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/CAL51_chiprep-se-with-control/CAL51*.bam.bai /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads 2> /dev/null\n",
    "ln -s /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/CAL51_chiprep-se-with-control/CAL51*.narrowPeak /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/ 2> /dev/null"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Brief reminder of the QCs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample</th>\n",
       "      <th>raw</th>\n",
       "      <th>trimmed</th>\n",
       "      <th>mapped</th>\n",
       "      <th>percentage_unique</th>\n",
       "      <th>mapped_and_filtered</th>\n",
       "      <th>percentage_unique_mapped_and_filtered</th>\n",
       "      <th>in_broadpeaks</th>\n",
       "      <th>in_narrowpeaks</th>\n",
       "      <th>percent_in_broadpeaks</th>\n",
       "      <th>percent_in_narrowpeaks</th>\n",
       "      <th>broadPeak_count</th>\n",
       "      <th>narrowPeak_count</th>\n",
       "      <th>NRF</th>\n",
       "      <th>PBC</th>\n",
       "      <th>NSC</th>\n",
       "      <th>RSC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CAL51.H3K27Ac.DMSO.rep1</td>\n",
       "      <td>42248882</td>\n",
       "      <td>41919365</td>\n",
       "      <td>37416406</td>\n",
       "      <td>89.258046</td>\n",
       "      <td>32043661</td>\n",
       "      <td>76.441189</td>\n",
       "      <td>13957193</td>\n",
       "      <td>12407544</td>\n",
       "      <td>43.556799</td>\n",
       "      <td>38.720744</td>\n",
       "      <td>29075</td>\n",
       "      <td>46653</td>\n",
       "      <td>0.9425</td>\n",
       "      <td>0.629353</td>\n",
       "      <td>1.440492</td>\n",
       "      <td>1.410622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CAL51.H3K27Ac.DMSO.rep2</td>\n",
       "      <td>31467480</td>\n",
       "      <td>31113072</td>\n",
       "      <td>28552804</td>\n",
       "      <td>91.771086</td>\n",
       "      <td>16837435</td>\n",
       "      <td>54.116916</td>\n",
       "      <td>13709243</td>\n",
       "      <td>13042306</td>\n",
       "      <td>81.421208</td>\n",
       "      <td>77.460171</td>\n",
       "      <td>49703</td>\n",
       "      <td>63284</td>\n",
       "      <td>0.7422</td>\n",
       "      <td>0.529788</td>\n",
       "      <td>3.577837</td>\n",
       "      <td>1.490543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CAL51.H3K27Ac.DMSO.rep3</td>\n",
       "      <td>54437629</td>\n",
       "      <td>53941825</td>\n",
       "      <td>49535046</td>\n",
       "      <td>91.830497</td>\n",
       "      <td>40939331</td>\n",
       "      <td>75.895339</td>\n",
       "      <td>19684834</td>\n",
       "      <td>17821525</td>\n",
       "      <td>48.082940</td>\n",
       "      <td>43.531549</td>\n",
       "      <td>33507</td>\n",
       "      <td>52774</td>\n",
       "      <td>0.9443</td>\n",
       "      <td>0.589575</td>\n",
       "      <td>1.356836</td>\n",
       "      <td>1.366062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CAL51.H3K27Ac.Gefit.rep1</td>\n",
       "      <td>55935242</td>\n",
       "      <td>55501451</td>\n",
       "      <td>49790412</td>\n",
       "      <td>89.710109</td>\n",
       "      <td>39447866</td>\n",
       "      <td>71.075378</td>\n",
       "      <td>19949148</td>\n",
       "      <td>18177623</td>\n",
       "      <td>50.570918</td>\n",
       "      <td>46.080117</td>\n",
       "      <td>40555</td>\n",
       "      <td>62392</td>\n",
       "      <td>0.9315</td>\n",
       "      <td>0.575476</td>\n",
       "      <td>1.485312</td>\n",
       "      <td>1.363173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>CAL51.H3K27Ac.Gefit.rep2</td>\n",
       "      <td>67352921</td>\n",
       "      <td>66743151</td>\n",
       "      <td>61075103</td>\n",
       "      <td>91.507671</td>\n",
       "      <td>48949442</td>\n",
       "      <td>73.340023</td>\n",
       "      <td>22108762</td>\n",
       "      <td>19981415</td>\n",
       "      <td>45.166525</td>\n",
       "      <td>40.820516</td>\n",
       "      <td>34964</td>\n",
       "      <td>54511</td>\n",
       "      <td>0.9459</td>\n",
       "      <td>0.555989</td>\n",
       "      <td>1.355486</td>\n",
       "      <td>1.342692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>CAL51.H3K27Ac.Gefit.rep3</td>\n",
       "      <td>47333877</td>\n",
       "      <td>46903446</td>\n",
       "      <td>42961379</td>\n",
       "      <td>91.595357</td>\n",
       "      <td>36196697</td>\n",
       "      <td>77.172788</td>\n",
       "      <td>16224528</td>\n",
       "      <td>14521478</td>\n",
       "      <td>44.823228</td>\n",
       "      <td>40.118241</td>\n",
       "      <td>30995</td>\n",
       "      <td>49267</td>\n",
       "      <td>0.9444</td>\n",
       "      <td>0.608872</td>\n",
       "      <td>1.377745</td>\n",
       "      <td>1.376318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>CAL51.H3K27Ac.GT.rep1</td>\n",
       "      <td>55950793</td>\n",
       "      <td>55511705</td>\n",
       "      <td>49728654</td>\n",
       "      <td>89.582285</td>\n",
       "      <td>41221551</td>\n",
       "      <td>74.257404</td>\n",
       "      <td>19098918</td>\n",
       "      <td>17100467</td>\n",
       "      <td>46.332361</td>\n",
       "      <td>41.484288</td>\n",
       "      <td>35315</td>\n",
       "      <td>50468</td>\n",
       "      <td>0.9450</td>\n",
       "      <td>0.588641</td>\n",
       "      <td>1.373443</td>\n",
       "      <td>1.326764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>CAL51.H3K27Ac.GT.rep2</td>\n",
       "      <td>53752427</td>\n",
       "      <td>53289334</td>\n",
       "      <td>48714816</td>\n",
       "      <td>91.415697</td>\n",
       "      <td>39355400</td>\n",
       "      <td>73.852302</td>\n",
       "      <td>16360368</td>\n",
       "      <td>14589608</td>\n",
       "      <td>41.570834</td>\n",
       "      <td>37.071426</td>\n",
       "      <td>27494</td>\n",
       "      <td>46039</td>\n",
       "      <td>0.9396</td>\n",
       "      <td>0.578501</td>\n",
       "      <td>1.372604</td>\n",
       "      <td>1.326407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CAL51.H3K27Ac.GT.rep3</td>\n",
       "      <td>48492203</td>\n",
       "      <td>48074186</td>\n",
       "      <td>44020731</td>\n",
       "      <td>91.568334</td>\n",
       "      <td>36037737</td>\n",
       "      <td>74.962761</td>\n",
       "      <td>15968476</td>\n",
       "      <td>14330513</td>\n",
       "      <td>44.310429</td>\n",
       "      <td>39.765297</td>\n",
       "      <td>29859</td>\n",
       "      <td>44920</td>\n",
       "      <td>0.9396</td>\n",
       "      <td>0.587831</td>\n",
       "      <td>1.335339</td>\n",
       "      <td>1.325135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>CAL51.H3K27Ac.THZ531.rep1</td>\n",
       "      <td>44820292</td>\n",
       "      <td>44444579</td>\n",
       "      <td>39559384</td>\n",
       "      <td>89.008345</td>\n",
       "      <td>33754486</td>\n",
       "      <td>75.947364</td>\n",
       "      <td>14628357</td>\n",
       "      <td>13118892</td>\n",
       "      <td>43.337520</td>\n",
       "      <td>38.865625</td>\n",
       "      <td>27848</td>\n",
       "      <td>43579</td>\n",
       "      <td>0.9434</td>\n",
       "      <td>0.625260</td>\n",
       "      <td>1.414746</td>\n",
       "      <td>1.331483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>CAL51.H3K27Ac.THZ531.rep2</td>\n",
       "      <td>54177490</td>\n",
       "      <td>53695919</td>\n",
       "      <td>49317141</td>\n",
       "      <td>91.845231</td>\n",
       "      <td>39532002</td>\n",
       "      <td>73.621986</td>\n",
       "      <td>17796421</td>\n",
       "      <td>15767554</td>\n",
       "      <td>45.017758</td>\n",
       "      <td>39.885544</td>\n",
       "      <td>33039</td>\n",
       "      <td>50284</td>\n",
       "      <td>0.9407</td>\n",
       "      <td>0.561912</td>\n",
       "      <td>1.312346</td>\n",
       "      <td>1.335347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>CAL51.H3K27Ac.THZ531.rep3</td>\n",
       "      <td>62076709</td>\n",
       "      <td>61542910</td>\n",
       "      <td>56465868</td>\n",
       "      <td>91.750403</td>\n",
       "      <td>44862207</td>\n",
       "      <td>72.895817</td>\n",
       "      <td>21834256</td>\n",
       "      <td>19671336</td>\n",
       "      <td>48.669598</td>\n",
       "      <td>43.848347</td>\n",
       "      <td>38593</td>\n",
       "      <td>57266</td>\n",
       "      <td>0.9425</td>\n",
       "      <td>0.551415</td>\n",
       "      <td>1.315682</td>\n",
       "      <td>1.317793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>CAL51.H3K27Ac.Vorino.rep1</td>\n",
       "      <td>44013711</td>\n",
       "      <td>43652099</td>\n",
       "      <td>39783804</td>\n",
       "      <td>91.138353</td>\n",
       "      <td>35800345</td>\n",
       "      <td>82.012883</td>\n",
       "      <td>13226489</td>\n",
       "      <td>10893976</td>\n",
       "      <td>36.945144</td>\n",
       "      <td>30.429807</td>\n",
       "      <td>35108</td>\n",
       "      <td>56772</td>\n",
       "      <td>0.9660</td>\n",
       "      <td>0.597760</td>\n",
       "      <td>1.165980</td>\n",
       "      <td>1.424969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>CAL51.H3K27Ac.Vorino.rep2</td>\n",
       "      <td>60277021</td>\n",
       "      <td>59803454</td>\n",
       "      <td>54643180</td>\n",
       "      <td>91.371278</td>\n",
       "      <td>46633805</td>\n",
       "      <td>77.978448</td>\n",
       "      <td>14400442</td>\n",
       "      <td>10868824</td>\n",
       "      <td>30.879835</td>\n",
       "      <td>23.306749</td>\n",
       "      <td>29603</td>\n",
       "      <td>45294</td>\n",
       "      <td>0.9636</td>\n",
       "      <td>0.534162</td>\n",
       "      <td>1.145813</td>\n",
       "      <td>1.382804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>CAL51.H3K27Ac.Vorino.rep3</td>\n",
       "      <td>44088122</td>\n",
       "      <td>43728846</td>\n",
       "      <td>39552453</td>\n",
       "      <td>90.449341</td>\n",
       "      <td>34931239</td>\n",
       "      <td>79.881456</td>\n",
       "      <td>14319209</td>\n",
       "      <td>11719353</td>\n",
       "      <td>40.992560</td>\n",
       "      <td>33.549778</td>\n",
       "      <td>58779</td>\n",
       "      <td>82313</td>\n",
       "      <td>0.9626</td>\n",
       "      <td>0.585657</td>\n",
       "      <td>1.140725</td>\n",
       "      <td>1.379133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>CAL51.p300.DMSO.rep1</td>\n",
       "      <td>23874893</td>\n",
       "      <td>23697200</td>\n",
       "      <td>20308108</td>\n",
       "      <td>85.698344</td>\n",
       "      <td>18701218</td>\n",
       "      <td>78.917416</td>\n",
       "      <td>1546873</td>\n",
       "      <td>1422302</td>\n",
       "      <td>8.271509</td>\n",
       "      <td>7.605398</td>\n",
       "      <td>13703</td>\n",
       "      <td>13959</td>\n",
       "      <td>0.9549</td>\n",
       "      <td>0.766884</td>\n",
       "      <td>1.278741</td>\n",
       "      <td>1.426638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>CAL51.p300.DMSO.rep2</td>\n",
       "      <td>20543999</td>\n",
       "      <td>20365503</td>\n",
       "      <td>17887215</td>\n",
       "      <td>87.830951</td>\n",
       "      <td>15440943</td>\n",
       "      <td>75.819109</td>\n",
       "      <td>1263588</td>\n",
       "      <td>1144799</td>\n",
       "      <td>8.183360</td>\n",
       "      <td>7.414048</td>\n",
       "      <td>15868</td>\n",
       "      <td>15322</td>\n",
       "      <td>0.9170</td>\n",
       "      <td>0.738303</td>\n",
       "      <td>1.287975</td>\n",
       "      <td>1.448850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>CAL51.p300.DMSO.rep3</td>\n",
       "      <td>20689154</td>\n",
       "      <td>20505895</td>\n",
       "      <td>17952053</td>\n",
       "      <td>87.545815</td>\n",
       "      <td>16318382</td>\n",
       "      <td>79.578980</td>\n",
       "      <td>1303486</td>\n",
       "      <td>1181531</td>\n",
       "      <td>7.987839</td>\n",
       "      <td>7.240491</td>\n",
       "      <td>14500</td>\n",
       "      <td>14508</td>\n",
       "      <td>0.9444</td>\n",
       "      <td>0.772726</td>\n",
       "      <td>1.257137</td>\n",
       "      <td>1.526216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>CAL51.p300.Gefit.rep1</td>\n",
       "      <td>29072537</td>\n",
       "      <td>28855195</td>\n",
       "      <td>24568499</td>\n",
       "      <td>85.144110</td>\n",
       "      <td>22449851</td>\n",
       "      <td>77.801765</td>\n",
       "      <td>1664487</td>\n",
       "      <td>1518593</td>\n",
       "      <td>7.414245</td>\n",
       "      <td>6.764379</td>\n",
       "      <td>15712</td>\n",
       "      <td>16095</td>\n",
       "      <td>0.9595</td>\n",
       "      <td>0.732691</td>\n",
       "      <td>1.194937</td>\n",
       "      <td>1.440767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>CAL51.p300.Gefit.rep2</td>\n",
       "      <td>23495683</td>\n",
       "      <td>23298346</td>\n",
       "      <td>20408065</td>\n",
       "      <td>87.594480</td>\n",
       "      <td>13533819</td>\n",
       "      <td>58.089184</td>\n",
       "      <td>782322</td>\n",
       "      <td>694511</td>\n",
       "      <td>5.780497</td>\n",
       "      <td>5.131671</td>\n",
       "      <td>12328</td>\n",
       "      <td>11383</td>\n",
       "      <td>0.8099</td>\n",
       "      <td>0.557577</td>\n",
       "      <td>1.240086</td>\n",
       "      <td>1.857307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>CAL51.p300.Gefit.rep3</td>\n",
       "      <td>19771348</td>\n",
       "      <td>19615778</td>\n",
       "      <td>17052692</td>\n",
       "      <td>86.933549</td>\n",
       "      <td>15342672</td>\n",
       "      <td>78.215975</td>\n",
       "      <td>774006</td>\n",
       "      <td>689736</td>\n",
       "      <td>5.044793</td>\n",
       "      <td>4.495540</td>\n",
       "      <td>10947</td>\n",
       "      <td>10032</td>\n",
       "      <td>0.9378</td>\n",
       "      <td>0.770018</td>\n",
       "      <td>1.159012</td>\n",
       "      <td>1.385819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>CAL51.p300.GT.rep1</td>\n",
       "      <td>21736337</td>\n",
       "      <td>21578765</td>\n",
       "      <td>18339642</td>\n",
       "      <td>84.989303</td>\n",
       "      <td>16783681</td>\n",
       "      <td>77.778691</td>\n",
       "      <td>1717872</td>\n",
       "      <td>1546006</td>\n",
       "      <td>10.235371</td>\n",
       "      <td>9.211364</td>\n",
       "      <td>21303</td>\n",
       "      <td>20829</td>\n",
       "      <td>0.9482</td>\n",
       "      <td>0.774685</td>\n",
       "      <td>1.295302</td>\n",
       "      <td>1.424779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>CAL51.p300.GT.rep2</td>\n",
       "      <td>25096997</td>\n",
       "      <td>24851978</td>\n",
       "      <td>21793286</td>\n",
       "      <td>87.692360</td>\n",
       "      <td>19492679</td>\n",
       "      <td>78.435121</td>\n",
       "      <td>1330519</td>\n",
       "      <td>1226448</td>\n",
       "      <td>6.825737</td>\n",
       "      <td>6.291839</td>\n",
       "      <td>14306</td>\n",
       "      <td>15439</td>\n",
       "      <td>0.9468</td>\n",
       "      <td>0.735695</td>\n",
       "      <td>1.182451</td>\n",
       "      <td>1.423975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>CAL51.p300.GT.rep3</td>\n",
       "      <td>21693078</td>\n",
       "      <td>21515430</td>\n",
       "      <td>18814886</td>\n",
       "      <td>87.448338</td>\n",
       "      <td>17159441</td>\n",
       "      <td>79.754116</td>\n",
       "      <td>1280819</td>\n",
       "      <td>1160804</td>\n",
       "      <td>7.464223</td>\n",
       "      <td>6.764812</td>\n",
       "      <td>15490</td>\n",
       "      <td>15405</td>\n",
       "      <td>0.9489</td>\n",
       "      <td>0.768554</td>\n",
       "      <td>1.203309</td>\n",
       "      <td>1.369396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>CAL51.p300.THZ531.rep1</td>\n",
       "      <td>23485828</td>\n",
       "      <td>23313641</td>\n",
       "      <td>19652105</td>\n",
       "      <td>84.294448</td>\n",
       "      <td>18214721</td>\n",
       "      <td>78.129028</td>\n",
       "      <td>1313453</td>\n",
       "      <td>1180623</td>\n",
       "      <td>7.210942</td>\n",
       "      <td>6.481697</td>\n",
       "      <td>15906</td>\n",
       "      <td>15483</td>\n",
       "      <td>0.9587</td>\n",
       "      <td>0.773350</td>\n",
       "      <td>1.193329</td>\n",
       "      <td>1.398582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>CAL51.p300.THZ531.rep2</td>\n",
       "      <td>24172903</td>\n",
       "      <td>23973208</td>\n",
       "      <td>21041623</td>\n",
       "      <td>87.771411</td>\n",
       "      <td>18983550</td>\n",
       "      <td>79.186524</td>\n",
       "      <td>1552450</td>\n",
       "      <td>1412190</td>\n",
       "      <td>8.177870</td>\n",
       "      <td>7.439020</td>\n",
       "      <td>16630</td>\n",
       "      <td>17147</td>\n",
       "      <td>0.9484</td>\n",
       "      <td>0.744301</td>\n",
       "      <td>1.224120</td>\n",
       "      <td>1.401517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>CAL51.p300.THZ531.rep3</td>\n",
       "      <td>25148925</td>\n",
       "      <td>24945148</td>\n",
       "      <td>21857168</td>\n",
       "      <td>87.620919</td>\n",
       "      <td>19689663</td>\n",
       "      <td>78.931835</td>\n",
       "      <td>1497043</td>\n",
       "      <td>1349081</td>\n",
       "      <td>7.603193</td>\n",
       "      <td>6.851722</td>\n",
       "      <td>17715</td>\n",
       "      <td>17811</td>\n",
       "      <td>0.9501</td>\n",
       "      <td>0.739451</td>\n",
       "      <td>1.176601</td>\n",
       "      <td>1.409622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>CAL51.p300.Vorino.rep1</td>\n",
       "      <td>26646312</td>\n",
       "      <td>26446803</td>\n",
       "      <td>23013195</td>\n",
       "      <td>87.016926</td>\n",
       "      <td>20603161</td>\n",
       "      <td>77.904165</td>\n",
       "      <td>1475031</td>\n",
       "      <td>1375196</td>\n",
       "      <td>7.159246</td>\n",
       "      <td>6.674685</td>\n",
       "      <td>12037</td>\n",
       "      <td>12910</td>\n",
       "      <td>0.9478</td>\n",
       "      <td>0.737419</td>\n",
       "      <td>1.230098</td>\n",
       "      <td>1.429814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>CAL51.p300.Vorino.rep2</td>\n",
       "      <td>28604032</td>\n",
       "      <td>28388430</td>\n",
       "      <td>24687228</td>\n",
       "      <td>86.962287</td>\n",
       "      <td>22820518</td>\n",
       "      <td>80.386686</td>\n",
       "      <td>1209699</td>\n",
       "      <td>1126382</td>\n",
       "      <td>5.300927</td>\n",
       "      <td>4.935830</td>\n",
       "      <td>9424</td>\n",
       "      <td>10317</td>\n",
       "      <td>0.9650</td>\n",
       "      <td>0.740649</td>\n",
       "      <td>1.149151</td>\n",
       "      <td>1.493261</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       sample       raw   trimmed    mapped  \\\n",
       "15    CAL51.H3K27Ac.DMSO.rep1  42248882  41919365  37416406   \n",
       "16    CAL51.H3K27Ac.DMSO.rep2  31467480  31113072  28552804   \n",
       "17    CAL51.H3K27Ac.DMSO.rep3  54437629  53941825  49535046   \n",
       "18   CAL51.H3K27Ac.Gefit.rep1  55935242  55501451  49790412   \n",
       "19   CAL51.H3K27Ac.Gefit.rep2  67352921  66743151  61075103   \n",
       "20   CAL51.H3K27Ac.Gefit.rep3  47333877  46903446  42961379   \n",
       "21      CAL51.H3K27Ac.GT.rep1  55950793  55511705  49728654   \n",
       "22      CAL51.H3K27Ac.GT.rep2  53752427  53289334  48714816   \n",
       "23      CAL51.H3K27Ac.GT.rep3  48492203  48074186  44020731   \n",
       "24  CAL51.H3K27Ac.THZ531.rep1  44820292  44444579  39559384   \n",
       "25  CAL51.H3K27Ac.THZ531.rep2  54177490  53695919  49317141   \n",
       "26  CAL51.H3K27Ac.THZ531.rep3  62076709  61542910  56465868   \n",
       "27  CAL51.H3K27Ac.Vorino.rep1  44013711  43652099  39783804   \n",
       "28  CAL51.H3K27Ac.Vorino.rep2  60277021  59803454  54643180   \n",
       "29  CAL51.H3K27Ac.Vorino.rep3  44088122  43728846  39552453   \n",
       "30       CAL51.p300.DMSO.rep1  23874893  23697200  20308108   \n",
       "31       CAL51.p300.DMSO.rep2  20543999  20365503  17887215   \n",
       "32       CAL51.p300.DMSO.rep3  20689154  20505895  17952053   \n",
       "33      CAL51.p300.Gefit.rep1  29072537  28855195  24568499   \n",
       "34      CAL51.p300.Gefit.rep2  23495683  23298346  20408065   \n",
       "35      CAL51.p300.Gefit.rep3  19771348  19615778  17052692   \n",
       "36         CAL51.p300.GT.rep1  21736337  21578765  18339642   \n",
       "37         CAL51.p300.GT.rep2  25096997  24851978  21793286   \n",
       "38         CAL51.p300.GT.rep3  21693078  21515430  18814886   \n",
       "39     CAL51.p300.THZ531.rep1  23485828  23313641  19652105   \n",
       "40     CAL51.p300.THZ531.rep2  24172903  23973208  21041623   \n",
       "41     CAL51.p300.THZ531.rep3  25148925  24945148  21857168   \n",
       "42     CAL51.p300.Vorino.rep1  26646312  26446803  23013195   \n",
       "43     CAL51.p300.Vorino.rep2  28604032  28388430  24687228   \n",
       "\n",
       "    percentage_unique  mapped_and_filtered  \\\n",
       "15          89.258046             32043661   \n",
       "16          91.771086             16837435   \n",
       "17          91.830497             40939331   \n",
       "18          89.710109             39447866   \n",
       "19          91.507671             48949442   \n",
       "20          91.595357             36196697   \n",
       "21          89.582285             41221551   \n",
       "22          91.415697             39355400   \n",
       "23          91.568334             36037737   \n",
       "24          89.008345             33754486   \n",
       "25          91.845231             39532002   \n",
       "26          91.750403             44862207   \n",
       "27          91.138353             35800345   \n",
       "28          91.371278             46633805   \n",
       "29          90.449341             34931239   \n",
       "30          85.698344             18701218   \n",
       "31          87.830951             15440943   \n",
       "32          87.545815             16318382   \n",
       "33          85.144110             22449851   \n",
       "34          87.594480             13533819   \n",
       "35          86.933549             15342672   \n",
       "36          84.989303             16783681   \n",
       "37          87.692360             19492679   \n",
       "38          87.448338             17159441   \n",
       "39          84.294448             18214721   \n",
       "40          87.771411             18983550   \n",
       "41          87.620919             19689663   \n",
       "42          87.016926             20603161   \n",
       "43          86.962287             22820518   \n",
       "\n",
       "    percentage_unique_mapped_and_filtered  in_broadpeaks  in_narrowpeaks  \\\n",
       "15                              76.441189       13957193        12407544   \n",
       "16                              54.116916       13709243        13042306   \n",
       "17                              75.895339       19684834        17821525   \n",
       "18                              71.075378       19949148        18177623   \n",
       "19                              73.340023       22108762        19981415   \n",
       "20                              77.172788       16224528        14521478   \n",
       "21                              74.257404       19098918        17100467   \n",
       "22                              73.852302       16360368        14589608   \n",
       "23                              74.962761       15968476        14330513   \n",
       "24                              75.947364       14628357        13118892   \n",
       "25                              73.621986       17796421        15767554   \n",
       "26                              72.895817       21834256        19671336   \n",
       "27                              82.012883       13226489        10893976   \n",
       "28                              77.978448       14400442        10868824   \n",
       "29                              79.881456       14319209        11719353   \n",
       "30                              78.917416        1546873         1422302   \n",
       "31                              75.819109        1263588         1144799   \n",
       "32                              79.578980        1303486         1181531   \n",
       "33                              77.801765        1664487         1518593   \n",
       "34                              58.089184         782322          694511   \n",
       "35                              78.215975         774006          689736   \n",
       "36                              77.778691        1717872         1546006   \n",
       "37                              78.435121        1330519         1226448   \n",
       "38                              79.754116        1280819         1160804   \n",
       "39                              78.129028        1313453         1180623   \n",
       "40                              79.186524        1552450         1412190   \n",
       "41                              78.931835        1497043         1349081   \n",
       "42                              77.904165        1475031         1375196   \n",
       "43                              80.386686        1209699         1126382   \n",
       "\n",
       "    percent_in_broadpeaks  percent_in_narrowpeaks  broadPeak_count  \\\n",
       "15              43.556799               38.720744            29075   \n",
       "16              81.421208               77.460171            49703   \n",
       "17              48.082940               43.531549            33507   \n",
       "18              50.570918               46.080117            40555   \n",
       "19              45.166525               40.820516            34964   \n",
       "20              44.823228               40.118241            30995   \n",
       "21              46.332361               41.484288            35315   \n",
       "22              41.570834               37.071426            27494   \n",
       "23              44.310429               39.765297            29859   \n",
       "24              43.337520               38.865625            27848   \n",
       "25              45.017758               39.885544            33039   \n",
       "26              48.669598               43.848347            38593   \n",
       "27              36.945144               30.429807            35108   \n",
       "28              30.879835               23.306749            29603   \n",
       "29              40.992560               33.549778            58779   \n",
       "30               8.271509                7.605398            13703   \n",
       "31               8.183360                7.414048            15868   \n",
       "32               7.987839                7.240491            14500   \n",
       "33               7.414245                6.764379            15712   \n",
       "34               5.780497                5.131671            12328   \n",
       "35               5.044793                4.495540            10947   \n",
       "36              10.235371                9.211364            21303   \n",
       "37               6.825737                6.291839            14306   \n",
       "38               7.464223                6.764812            15490   \n",
       "39               7.210942                6.481697            15906   \n",
       "40               8.177870                7.439020            16630   \n",
       "41               7.603193                6.851722            17715   \n",
       "42               7.159246                6.674685            12037   \n",
       "43               5.300927                4.935830             9424   \n",
       "\n",
       "    narrowPeak_count     NRF       PBC       NSC       RSC  \n",
       "15             46653  0.9425  0.629353  1.440492  1.410622  \n",
       "16             63284  0.7422  0.529788  3.577837  1.490543  \n",
       "17             52774  0.9443  0.589575  1.356836  1.366062  \n",
       "18             62392  0.9315  0.575476  1.485312  1.363173  \n",
       "19             54511  0.9459  0.555989  1.355486  1.342692  \n",
       "20             49267  0.9444  0.608872  1.377745  1.376318  \n",
       "21             50468  0.9450  0.588641  1.373443  1.326764  \n",
       "22             46039  0.9396  0.578501  1.372604  1.326407  \n",
       "23             44920  0.9396  0.587831  1.335339  1.325135  \n",
       "24             43579  0.9434  0.625260  1.414746  1.331483  \n",
       "25             50284  0.9407  0.561912  1.312346  1.335347  \n",
       "26             57266  0.9425  0.551415  1.315682  1.317793  \n",
       "27             56772  0.9660  0.597760  1.165980  1.424969  \n",
       "28             45294  0.9636  0.534162  1.145813  1.382804  \n",
       "29             82313  0.9626  0.585657  1.140725  1.379133  \n",
       "30             13959  0.9549  0.766884  1.278741  1.426638  \n",
       "31             15322  0.9170  0.738303  1.287975  1.448850  \n",
       "32             14508  0.9444  0.772726  1.257137  1.526216  \n",
       "33             16095  0.9595  0.732691  1.194937  1.440767  \n",
       "34             11383  0.8099  0.557577  1.240086  1.857307  \n",
       "35             10032  0.9378  0.770018  1.159012  1.385819  \n",
       "36             20829  0.9482  0.774685  1.295302  1.424779  \n",
       "37             15439  0.9468  0.735695  1.182451  1.423975  \n",
       "38             15405  0.9489  0.768554  1.203309  1.369396  \n",
       "39             15483  0.9587  0.773350  1.193329  1.398582  \n",
       "40             17147  0.9484  0.744301  1.224120  1.401517  \n",
       "41             17811  0.9501  0.739451  1.176601  1.409622  \n",
       "42             12910  0.9478  0.737419  1.230098  1.429814  \n",
       "43             10317  0.9650  0.740649  1.149151  1.493261  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "qc_df = pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/CAL51_chiprep-se-with-control/qc.txt')\n",
    "qc_df[[\"ctrl\" not in v for v in qc_df['sample'].values]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Union peaksets - Venn diagrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load bedtools2\n",
    "\n",
    "CONDITIONS=(\\\n",
    "    CAL51.H3K27Ac.DMSO \\\n",
    "    CAL51.H3K27Ac.Gefit \\\n",
    "    CAL51.H3K27Ac.THZ531 \\\n",
    ")\n",
    "DATADIR='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/CAL51_chiprep-se-with-control'\n",
    "OUTDIR='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data'\n",
    "for cond in ${CONDITIONS[@]};\n",
    "do\n",
    "    bedtools merge \\\n",
    "        -i <(cat ${DATADIR}/${cond}*.narrowPeak | sort -k1,1 -k2,2n) \\\n",
    "    > ${OUTDIR}/${cond}.merged_peaks.bed\n",
    "        \n",
    "done"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### All"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "source /data/reddylab/software/miniconda2/bin/activate alex\n",
    "export PYTHONPATH=\"/data/reddylab/projects/GGR/analyses/group_general/top_level_scripts/GGR:${PYTHONPATH}\"\n",
    "python /data/reddylab/Alex/collab/20180214_JoshBlack/scripts/plot_overlap_as_venn_diagram.py \\\n",
    "    -i \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/CAL51.H3K27Ac.DMSO.merged_peaks.bed \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/CAL51.H3K27Ac.Gefit.merged_peaks.bed \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/CAL51.H3K27Ac.THZ531.merged_peaks.bed \\\n",
    "    --names DMSO Gefitinib THZ531 \\\n",
    "    --bed \\\n",
    "    --overlap 0.5 \\\n",
    "    -o \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_venn.png \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_venn.pdf\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zrJGMiy++WL/5zW/U0dEhx3F0++23a+HChdMeATn8+oZh6CMf+YguuOACdXV1ad26dbrtttuOOOICuI2DCIFKkUhI994rdXe7nQTANDiGlA/7ZYV8ygdN2T5DtunI8klWU6N2tETU56SUtbJjH3l7Zrtn+U2/Qr6QQv7Q2J9hf/iIl9UF6hQJRIp8jwFgdiggQCXYtUt68EFGPYAK5EjK1wWUixQKhuWX8j5Hlmkpb1iydPRd6RzD0IGGsF40U3JcOIMuYAYUDUXVFG5SNBQd+2gKNak+WF/+QABqHgUEcFMuJ23cKG3f7nYSoOY5kvIRv3J1PuXCPuUCjrI+S3nl5Gj2vypToZCeDluKG5Vzdojf9Ksx2DhWTuaE56itrk0tkRamewEoGQoI4Ja+Pmn9ek5UBlySqwso0+BXJixl/ZZyRnGKxtE4pqmdjSHtNlIl/T6z5Tf9ao20qr2+XXPr52pu/VxFQ1G3YwGoEhQQoNwcR3rmmcKBgpxSC5SF7TOUiQaVrfMpE7SVNXPHnDpVSoN1YT0dzChf4sJTTCFfaFwhmVs/V2F/2O1YADyIAgKU0+iodN990sGDbicBqpptGsrMCSldbyoVzCunyltflQ0E9HS9NKyc21FmrDHYqIXRhVocXayF0YUK+oJuRwLgARQQoFw6O6X775cO2/8dQHFk6wNKNwWUCtvKGJmST6cqBsc0tLsxrJ0VPiVrKkzD1Lz6eVrctFiLo4vVWtfqdiQAFYoCApSaZUkPPyy9+KLbSYCqYvtNpZpDStU5SvvdnVI1W0P1EW0KpD01JetY6gJ1WhxdrMVNi7UouojREQBjKCBAKb10onlvr9tJgKpg+00lW0JK1tlK+7KeGOWYqmwgoGfqpUEPT8k6EkOG5jXM0+LoYq1sWcmCdqDGUUCAUuntLZSPZNLtJICnWQFTqZdKh5mposoxkWMa2tkYrvhdsmZrbv1crW5ZrZUtK1nIDtQgCghQCtu2SQ89VJh+BWDabNNQsi2s0XpHGTNd1aVjMj0NdXrGl3Tl4MJyMg1Ti6KLtLpltZbOWSq/6Xc7EoAyoIAAxWTb0iOPSC+84HYSwJMy0aASzT4l/RnZqu1tqhORsJ4IZZWtkf8OATOg5c3LtbpltToaO2QYVd6+gBpGAQGKJZ2W7rmHLXaBabICpkbbwkrUVeZ2uW7KBgJ6qt5RTJVzeno51AfqtbJlpY5rPU4tkRa34wAoMgoIUAwDA4X1HvG420kAz0g1h5VoMpTypWpuitV02KapLY1BdRlpt6O4oqOxQ6fMPUVLmpYwKgJUCQoIMFu7d0sbNkj52nqHEpgJxzSUaA8p3mApV4W7PZXSvsY6veir3U0toqGoTp57sta0rlHAF3A7DoBZoIAAs/HEE9LTT7udAqh4VtCn+NyQEqGMp8/rcNtgfURPBVI1sipkckFfUMe3Ha+T556shmCD23EAzAAFBJgJ25YeeEDavt3tJEBFyzYEFGv1K+lPV9WZHW5KRMJ6LJSpqkMLZ8KQoeXNy3XK3FM0r2Ge23EATAMFBJiufL6w2HzfPreTABUrPSekkRZD6Rpdt1Bq6VBQj0XyStf0WMjL5tbP1SlzT9Hy5uUyDdPtOACOgQICTEcmI/3pT1J3t9tJgIqUag5ppFnKGBm3o1S9XCCgJ+ocxQ3Wn70kGorq9AWna1XLKhasAxWMAgJM1eiodMcd0tCQ20mAikPxcIfl82lzo0/9bF88zpzwHJ2+4HStbFnpdhQAk6CAAFMxPFwoH4mE20mAipJuCmmkVUpTPFzjmKaebwzoIP8PJmiJtGhdxzotm7PM7SgAXoECAhxLb690112FgwYBSJKyDUENtRtKm7zorQiGtCMa0W4j5XaSijS3fq5es+g1mt8w3+0oAEQBAY7uwIHCAYOc8QFIKmynO7wgqISfF7qVaE80ou0m/2+OZEnTEp258ExOVwdcRgEBjmTnzsIBgza7zACOaSg2P6JYJC2bnZcq2t5oRFspIUdkyNDq1tU6o+MM1Qfr3Y4D1CQKCDCZrVsL53wA0GhbWMNNeeXFSKBX1Pqp6VMRMANa17FOJ889mR2zgDKjgACHo3wAkqRs4/+u82Bxsyftj9Zpi0kJOZbWSKtev/T1mls/1+0oQM2ggACvRPkAZPsMDS8MKx5gGo/XHWis0wuMhByTIUMntJ+gMxeeqaAv6HYcoOpRQICXUD4AJVvDGpyTl8V0q6pxsLFOz1FCpiTij+jsxWdrVcsqt6MAVY0CAkjStm3S/fe7nQJwjRX0abAjqKSPUY9qdKixTs9SQqZsYeNCvW7J69QUbnI7ClCVKCDAzp3SffdJPBRQoxLzIhpqyLC7VZXraqzT85SQKfMZPp06/1SdNv80+Uyf23GAqkIBQW3r7JTuuYetdlGTchG/Bhf4WGReQzqjEW1ji95paQo16bxl52lewzy3owBVgwKC2rV/v/SnP1E+UJPi8yMaqk/LEb8Cas2OJk5Mny7TMLV2wVqdNv80tuwFioACgtp08KB0112ccI6aYwVMDS4KKmmm3Y4CtxjSlmhY+w1+BqZrfsN8nb/8fDUEG9yOAngaBQS1p79fuu02KZdzOwlQVqnmsAZacrJkuR0FLnNMQ89Gg+oW0++mK+gL6vVLXq+VLSvdjgJ4FgUEtSWRkH7/eynJQkzUDsc0NLwwoliQn3u8zDZNPR31q19Zt6N40nGtx+mcxeco4Au4HQXwHAoIakc2K/3hD9LQkNtJgLLJ1gfUP99QjheZmITl8+mJBlMjBiPCMxENRfXG5W9Ue32721EAT6GAoDbYtnTHHYW1H0CNSMyLaLCBheY4urzfr0caHCWZmjcjpmFqXcc6nTrvVBaoA1NEAUFt2LBB2r7d7RRAWTiGNLgkooSfnY4wNelQUBsjOeUpqzPW0dih85efr7pAndtRgIpHAUH1e/JJadMmt1MAZZEP+dS/0KeMwZQrTM9IXUSPBimts1EfqNebV76ZKVnAMVBAUN22by+MfgA1ID0npP7WPLtcYca6G+r0jJ/NCmbDb/p17tJz2SULOAoKCKpXV5d0550cNIiaEJsf0XB9igk0mLVdTRHt5KDCWTtt/mk6Y+EZbscAKhIFBNVpcFC69dbCzldAFbNNQ4NLwhr18YIRRWJIz0ZDOmRwRshsLZuzTOcvP19+0+92FKCiUEBQfZLJwlkfiYTbSYCSsoI+9S1ivQeKz/L59HijoZjybkfxvNZIqy5cdSGnpwOvQAFBdbHtwinnPT1uJwFKKlcXUO8CR3leIKJEcoGANtZZyhhMY52tiD+iC1ZeoPkN892OAlQE0+0AQFE9+ijlA1Uv3RRS9wKL8oGSCuRyWpcNuh2jKqTyKd2+/XZt69/mdhSgIlBAUD1275aef97tFEBJjbZF1NuWlS3elUbpNaTSOsXiXItisB1b9++9X48eeNTtKIDrKCCoDsPD0v33u50CKKlYR536m1KcbI6y6ogntdAJux2jajzb86w2dG4QM+BRyygg8L58Xrr7bimXczsJUBKOCiebD0U4nwHuOCGRU4PYyalYtg9s1/o962U7jGSiNlFA4H0PPCANDbmdAigJx5AGlkUUD7DNLtzjsyydnjJ50VBEu4d268+7/izL5uBQ1B6eS+BtL7wg7dzpdgqgJBxD6l/GGR+oDOFMVqflIm7HqCr7Rvbpzp13Kmcxgo/aQgGBd/X2So884nYKoCQc01DfsrCSZtrtKMCYttGUVjiUkGI6GD+oP+74ozJ5Dn5E7aCAwJvS6cK6D5v5s6g+tmmod1lIKcoHKtCqeFrNTsDtGFWld7RXt2+/Xakco52oDRQQeI/jSOvXS6OjbicBis72GepbFlTaoHygMhm2o1NThnyO4XaUqjKQGtBt22/TaJbfbah+FBB4z7PPSl1dbqcAis72m+pdGlDaYCoGKlsom9WpFlOxim04Paxbt92qWCbmdhSgpCgg8JbBQenJJ91OARSd7TPUs8SvjJF1OwowJe2JpBZzPkjRxbNx3brtVsUzcbejACVDAYF32LZ0332SxZaFqC6OaahvaVBZygc8Zk0ip4jjcztG1Unmkvrjjj+yJgRViwIC79i0SRoYcDsFUFSOIfUtDTHtCp7ksyytzbIgvRRimZju3HmnshZvTKD6UEDgDb290tNPu50CKCpH0sDSCLtdwdMaUmmttlkPUgr9yX4OK0RVooCg8uXz0oYNhd2vgCoytCTCIYOoCssTGUXldztGVToYP6j1e9bL4XcgqggFBJXv8cel4WG3UwBFNbS4TvEA5QPVwbBtvTrlk8Fr5JLoHO7Ug/sedDsGUDQUEFS2gwel5593OwVQVLGOOsWCSbdjAEUVyWS0xqlzO0bV2tq/VY93Pe52DKAoKCCoXNlsYeoVUEVG2yMailA+UJ2WJNJqYCpWyWzu3qxne551OwYwaxQQVK5HHpESCbdTAEWTbgppIMqCc1Qvw7Z1aoYCUkqPHnhU2we2ux0DmBUKCCrT/v3Stm1upwCKJhfxq78tL0dMkkd1a0iltZxdsUrqgb0PaP/IfrdjADNGAUHlsSxp40a3UwBFYwVM9XUYssRWmqgNK0ezCjm8xCgV27G1fs96xTIxt6MAM8KzAyrP5s1SjCdVVAfHkPoXB5VTzu0oQNn4LEun5kNux6hqWSurP+38k3IWzy3wHgoIKkssViggQJUYWhxR2mDdB2pP82hKHQ4lpJSG0kO6f+/9bscApo0Cgsry8MOFKVhAFYjPj3DWB2ra8UlLfhlux6hqu4d2a3M3b9zBWyggqBx790r79rmdAiiKTDSooXrKB2pbIJfXSXkWpJfaE11P6EDsgNsxgCmjgKAy5POF0Q+gClgBU/3tNvtdAZLmjabU6LA1byk5crR+N4vS4R0UEFSGzZuleNztFEBRDCwKKq+82zGAimA4jk7KBdyOUfUyVkZ/3vVn5W2ee1D5KCBwXywmPfOM2ymAohhZWKeUyaJz4JWakiktYEF6yQ2mBnV/J4vSUfkoIHDfxo0sPEdVSDWHNBxOuh0DqEhrUo4M5iWW3K6hXXqmmzf1UNkoIHBXZ2fh1HPA46yQTwMtTH0AjiSUzWqVw4L0cni863Edih9yOwZwRBQQuMe2pUcecTsFMGuOIfUt9HPSOXAMS0ezCvLSo+QcOdrQuYFDClGx2JYC7nnxRRaeoyqMLKxTxqitqVf/c9dG/dM1v9CPrrpCF7z2VF38mWt0sHdQ0YbCO9zvffPZuuw9b5QkffSrP9CB7gFJkuNIW/cc0P/7l4/rja95lRzH0Ve/9ytteOIFmYahv3nP+fqrd77BtfuF0vJZlk7M12mzv7YeL26IZ+N6eP/DOnfZuW5HASaggMAd+by0aZPbKYBZy0SDioVq68XUgZ4B3XznRq09ccXYZYYhfeXv3683nX3qhOtf/9Urxv7+3Pa9+vAXv6tzzzhJkvS7ux/Vrv09uv+/v6aR+Kgu+ti/6bWvPl6rli4o/R2BK+aNJhVt8ivGTnElt21gm5bNWaalc5a6HQUYh3FQuOO556QUh7TB22zT0EC7U1PnfTiOoy9c8wtd9YkPKOD3jfucbR/7v8TNd27Uu954pvy+wtf+8f6n9IGLXidJamqs19vPO1233vdE8YOjcjjSiVm25S2XB/Y+oFSO37eoLBQQlF8mw7a7qArDiyLKqbbmWP/4N/fojFNW6eTVSyZ87uof/05vufxf9cl/+7H2H+qf8Pl0Nqdb73tCF7/1dWOXHewd1MJ5rWP/XjSvTV29g6UJj4rRlEypRZSQckjlU3pw34NuxwDGoYCg/J55Rspm3U4BzEp6TkjxQG1NvdreeVB3PrhJn/jgRRM+d+0/X6Z7f/YvuutHV+qMk1fqsi99b8J17rj/Ka1YNE/HLesoR1xUuDUZ37GvhKLoHO7U9oHtbscAxlBAUF7JpPT8826nAGbF9psaaK29Ha8ef26HunoGdd5fX6nXfeiLevrFPfrn7/xSN9z+gOa3NY9d76/e+QbtO9SvkfjouK//n7s26uLk4cSVAAAgAElEQVS3njPuso65LerqGRj794Gefi2c21LaO4KKEE2l1e4E3Y5RMx7e/7AS2YTbMQBJFBCU29NPFxagAx42uDCkfA0uoP3QO87VYzf/hx785b/poV9+XaedsFz//ukP6ZKLXqf+odjY9e58YJPaW6Jqaqwfu6yzq1fP79in/+/8M8bd5kXnnq5f3fGQbNvWcGxUt294Sm8/b13Z7hPctSbDy5ByyVpZ3bfnPjlOLa1aQ6ViFyyUTzxe2HoX8LBka1ijfhZ0SpJhGJKkTDavy/7v95TNWzIMqbWpUT/+l78fd91f/+lhvfX1a1UfCY+7/D1vOkvPbevUeX99pUzT1OXvu4ApWjWkPp3W/HBI3cq4HaUmHEoc0nO9z+lV817ldhTUOMOhCqNcNmyQtjMHFd5lm4YOLffV5OgHUCrJUEgPRigg5eIzfHrPCe9Rc6T52FcGSoSxT5TH0JC0Y4fbKYBZGVkYoXwARVaXyajDDrkdo2ZYjqWH9j3kdgzUOAoIyuOppwpHIAMelW0IKB6srV2vgHJZneH3QzkdShxiVyy4igKC0ovFpD173E4BzMrgXLOmDhwEyimcyarDYRSknB478JiyFlviwx0UEJTes88y+gFPi88LK2MwRx0opeU8xMoqlU/p8a7H3Y6BGkUBQWml0yw8h6dZAVPDDbxLCJRaQzrD6ehl9mLfi+ob7XM7BmoQBQSl9cILnPsBTxvqCMmW7XYMoCas4nT0snLkaOP+jW7HQA2igKB0LKtQQACPyjSFOPMDKKPmdFoNHFFWVr2jvdoxwC6VKC8KCEpn+/bCFCzAo4Za3U4A1BhHOi4fdDtFzXms6zHlbWYroHwoICidZ591OwEwY8k2Fp4DbmhLphVyeHlSTslcUk8fetrtGKghPMJRGp2d0siI2ymAGXEMaaiJdwMBNxi2rdV22O0YNefZnmcVz8TdjoEaQQFBaTD6AQ+Lz6/jxHPARfOTGfkcw+0YNcVyLD3W9ZjbMVAjKCAovt5eqbvb7RTAjNh+U7E6pl4BbvJZlpZyMGHZ7R7arcHUoNsxUAMoICi+Z55xOwEwYyMLwrJkuR0DqHmLMhxg64anDj7ldgTUAPa6Q3Elk4X1H4AH5UM+xYNsu1sLbPllGxFZTlC2ArLlk+P45DimbMeQ7ZiFD1uybVO2I0kTpwQ5zvgXyYYhmYZk+hyZhl34MB0ZsmQajkzDKnwoJ58yMp20DArvpCKZjFoiAQ0q53aUmrJneI8GkgNqrWMbQJQOBQTFtW2b5PCuFbxpZH5Qjigg1cBSWJZRr7wTUt72y7L9ytt+5fOG8nnjfwtFMRxpnYKhqU4yME0p4Hfk99vym5b8Zl4+s1BQfE5SPtXudubLc34NBigg5fbUoaf05pVvdjsGqhgFBMW1bZvbCYAZyYf9HDroMY4kS3XKq055J6KcFVQ251c2V8yCUXq2LWWyhjJZnySfpPHnYJimFAw4CvrzCviyCpgpBTQq06n+n9eWVEb+gKG8PPQ/tAp0DncyCoKSooCgeA4elGIxt1MAMxKbG5DDzlcVzTLqlVVU6XxY2WzQc0VjpmxbSmcMpTMBSQFJ9ZLa5DOlYNBWyJ9VyJdU0IhXXSkxbVvL7Yh2mNV1v7yAURCUEgUExcPoBzzKCvmUCNTuNJdK5MivrJqUdeqVyYWUzvhk2W6nqiyWLaXSplIKSwpLapHfL0WCeYX8aQXNhPxOTIa8/R+uI21pR53bKWpP53Cn+pP9aqtrczsKqhAFBMWRzUp79ridApiR2NyQHCXdjlHTHPmVMVqUydcrlQkqk+MMiJnI56V43q+4GiQ1yDTmKxS0FQ5mFPbFFXSGJI9NZwpns2qrC6pfWbej1JynDj6lC1dd6HYMVCEKCIpj587Cbz7AY6yAyc5XLnAk5TRHGadJqUxIqQy7wpeC7UipjKlUJiIpItOcq7pwXpFAUiFjSD6PTNlanvOpP+B2itqzd2QvoyAoCQoIioPpV/Co+Lwwox9l4iiotJqVyjcqmfIzpcoFti0lkn4lFJUUVTDgqC6cVdiMKajhit0SuJnF6K5hFASlQAHB7A0OSn19bqcAps32m4qHWPtRSrYRUEZtGs00KJny8fKxwmRzhrK5kKR2mUa76uvyqg+MKOgMVNTaEcO2tciJqNPwxoiNJN38rZv1zAPPaPDQoL5045e0aPUiSdLPr/q59m3dJ8Mw5Av49O5PvFvHn3G8JCmbzuq///W/tXfLXhmmoXd9/F1a+8a1Y7e5af0m3f7/bpfjODIMQ5+49hNqmd+iO356hzbds6mw+7Mj9XX16fXvfr3+8h/+ctb3g1EQlAIFBLO3davbCYAZic8Ly2b0o+gc+ZVWm5K5Ro0mKR1eYTtSfNSvuFrlM1tVX5dTnX9EIWdAlbBupCPrqDPkdoqpO/1Np+vCv75Q3/zbb467/P2ffb8iDRFJ0v5t+/Wdj39H317/bUnS3b+8W4FgQP96y7+q/2C/rv7w1VpzxhrVR+u1b+s+3frDW/WZH35G0daoMqmMTLMwdfGiyy7SRZddJEnK5/L6p7f+k85661lFuy/P9TynNyx/Q9FuD2DSLWbHtgvrPwCPcQwpHmZRa7E48iltzNNAbrUOxFapd2SOEpQPz7JsKZYIqHu4TQfiazRsrVBGra7+/2xMpxVyvPOyZdWrV2lO+xw5hx3O+1L5kKRkfPwbIE/++Un9xXv/QpLU1tGm404/Tpvv2yxJuueGe/SmS9+kaGtUkhSKhBQITVwY8/R9T6t5XrMWr1lctPuye2i30nlGi1E8jIBgdjo7pTRPSvCeZGtEFqeez1rOiGo036Z4Mii7cmbsoIgsWxpJBDWidvn97YrWpVRv9pb/zBFHWuqEtN1D07CO5Jbv3aKn7nlKyXhSH/vGx8YuH+wZVOuClw//a13QqsHuQUnSoT2H1NrRqmsuv0bpZFqnvO4UveOj75BhjN8x7uFbH9Y57zynqHktx9LW/q169fxXF/V2Ubu881YCKhOjH/CoeJRXyzPlyKeks0A9qTU6ONyhkQTlo1bk89JgLKL9w0vVn1utjNFe1lGReZnq+EF79yfera/9/mu6/OrL9dvrfisrf+zF/7Zla//2/frUf35Kn/vx57Tr2V26/zf3j7vOwKEB7XpmV1GnX71kS9+WCaM5wExRQDBzuZy0f7/bKYBpyzYElTEybsfwnJwR1bC1Qgfiq9UXa1I6y1kdtWw06VP3cKsOjh6vuLNUthE59hfNUl0mo4Yqmrxx/BnHK51Mq2tnlySpZX6LBg4NjH1+4NCAWua3SJKa5zdr7flr5Q/4FQwHddobTtOe58afv/XwbQ/r1HNPVV1j8U9uTGQT2juyt+i3i9pEAcHM7d0rWZW5ZSNwNPFWn9sRPMRQSvMZ7cARvXJUZCC3Whm1HvuLZmGpFSzp7ZeSlbfUd+DlXSP3PL9H8aG42he1S5LWvnGtHvjtA5Kk/q5+7di0Q68+rzDt6cwLz9SWRwujEFbe0pZHt2jRcYvGbstxHD1y2yN63bteV7L8L/S+ULLbRm2pnrcRUH67d7udAJg2K2Bq1M+6pWNx5FPKWaDhZINynDGKKUokfUqoXeFgm6KRIYXVq2KPk7Vn8lLx3+Avuhu+foOe2/icYgMxXfeJ6xSuD+vLN31ZP/vKz5QeTcs0TYXqQvrYNz42tjD9wr+6UD+/6uf60ru+JNNn6pLPX6L6pnpJ0hkXnqF92/bpqvdfJdNnatVpq3T+B84f+34vPvaiDNPQmnVrSnafuuJdGk4Pa054Tsm+B2qD4TChDzORy0n//d+MgMBzYh11Goqw9e6ROAoq4SzQSCLCQYGYtUBAaqobUZ16inquyGNzAhpWrmi3h6k7ee7Jeu3i17odAx7HFCzMzL59lA94jiMpHmHr3clYRkQj1nIdiK3QYIzygeLI5aT+kSYdHD1OCWexnCJNvFhoTdx+FuWxfWC7chblD7NDAcHM7Nlz7OsAFSbdHFJezCd6Jcuo11B+pQ4ML9VwIiSbMXGUQD4vDcTq1RVfpbi9TI5mt46jNcsbYG7JWlntGNzhdgx4HAUE02fb7H4FTxpt4invJbYR0rC1Ql3DixUb5d1klIdlS4PxsLriK5SwF8vRzDaEiGQyCvMSxjVb+ra4HQEex6MX09fVVRhXBzzE9hlK+lh8bhsBxayl6hpZrpFEkJPK4QrLlgbi9To4ulpJdUgzWKq+yPbublheN5gaVE+ix+0Y8DAKCKZvL/uAw3uSrWE5Nfxy25FPCWexumIrNZSIMNUKFSGfl/pGojqYXKO0MW9aX9vO+2Cu2jW0y+0I8DAKCKavs9PtBMC0jTbU6qpqQ0l16ODoag3E6jnDAxUpl5N6hpvVk1oz5XNEGjMZ+RwOw3TL7qHdnIyOGaOAYHr6+qQkW5jCW/Jhv9I1ePJ51pij7tRx6huJKs/ae3hAOmuoe6Rd/bnVso5x2IdhO+pQqEzJcLhkLqnuRLfbMeBRFBBMD4vP4UGjLbW1yNpWUEP5lTo0PF+ZLO8Qw3tGkz4djC1R3Fki5ygvVebm+fl2E9OwMFMUEExPV5fbCYBpG43Uxtv/jqSkFupgfAU7W8HzbEcajNXpUPI4ZY3Jp2U1pznXx017hvYwDQszQgHB1OXzUm+v2ymAack2BpWrgROTc2pSb2qN+kYaOUQQVSWXkw4Nt2sgt0q2ERn3OZ9lqUWUbbek8ikdjB90OwY8iAKCqevp4fRzeE6yqTgnL1cqR0ENWyt0cGSB0ky3QhVLJP3qGlmqhLNYr9y2dx6noruKaViYCQoIpo7pV/CgZKh6Rz8yatfBxAqNJDgPAbXBdgonqnenjlPOiEqSWvIM+blpz9Ae2Q7/DzA9FBBM3UGGWeEt2Tp/VU6/cuTXkLVS3SOtyjMoiRqUyRo6NNyhuLNUdeksL2ZclLEyOhA74HYMeAyPWUxNNlvYghfwkFRz9Y0MZI0WHRpdpViCaSeobY6kwVhEfcnVas43ux2npu0e2u12BHgMBQRT090tsdMFPCYZqp7drxz5NGIt16HhucpVz90CZi2dNVSXOEF19okSBxO6onO4U5bNcCymjgKCqWH9BzzGCvmUNapji86cMUeHkqs1nODQNWAy4VxGydhihTKvk18NbsepOVkry25YmBYKCKaG9R/wmNQc70+/ciTFnaU6ODxfuepbygIUjS+dluQok66THTtbEWeF25FqTlecNyoxdRQQHFs6LQ0MuJ0CmJZknbenDDoKqj+7WoOxyLGvDNQ621LUKMxNtG1TqZHVimTXyXB8LgerHV0xCgimjgKCY2P0Ax7jGFLazLgdY8ayxhwdHF2hZIoXT8BUNdrjp1ymkq0KpJiSVS4DqQGl82m3Y8AjKCA4tu5utxMA05KJhuTImyMgo84idQ/PV56F5sC0RPIT33TIZsNy4q9RyOlwIVHtYRQEU1XdRwSjONh+d5wLr7tOPbGYDMNQNBzWdRdfrFcvXixJ+uptt+mmJ55QyO9Xe0OD1n/mM2Nf9/0NG/S9DRvkN035TFOPfeELCvr9+sRNN2njrl0yVJjzv7W7W99873v1iTe8QT9/5BF96uabtaKtTY6klrq6cbeJyWUavDdy4MivwdwyJZI8LQMz4c8kpUDLhMstyydr5BTVNTYr6XvBhWS1oyvepZUtK92OAQ/gNx2OznFY/3GYX19+uaKRwrz832/erA//139p85VX6rr16/X8wYPa8tWvymea6o3Fxr7mD5s366YnntDjX/iCGsJhDSQSCvgKL5K/d8klY9fricW04v/+X128bt3YZeevWaPfXXFFme5ddUgHvTV8kDca1Tu6kIXmwGxYluoNS6NHWPeRjC9SOBJVNvSUbFXHDnmVhhEQTBVTsHB0w8NiLsh4L5UPSRpOJuUzCw+jb919t65+97vH/j03Gh273rfuvltfefvb1RAOS5JaGxpkGBP3q/+vhx/WhSeeqPbGxrHLvDmRyD22aShjeueVfFpzdWiE8gEUQ4Nz9GKRTkXlG32dAg4HF5ZCPBtXLBM79hVR8xgBwdH197udoCL99c9+pvu2bZNhGLrjk59UPJ1WTyym32/erN9s2iRD0qff9Ca9/39HMrYcOqQnOjv11dtuU9ay9H/OOkufPP/8Cbf7s4cf1rff975xlz20c6dO+9rXVB8M6h/e+Eb95emnl+MuelamKShH3liAnnCWaCBW53YMoGqE7ZxkHn3nuFwuICN+hiKN25UyOssTrIZ0xboUbY8e+4qoaRQQHB0FZFI//5u/kST94tFH9fnf/la/vOwy5W1bmXxej37hC9o7MKDXfuMbOmHBAp2ycKHylqXOgQE9+LnPaXB0VOdec41WtrfrolNOGbvNB3fsUCKT0VtPPnnssne86lW6eN06hQMBbe3u1puvvVZLWlp05vLlZb/PXpGur/yBXUemhvPLFRsNuB0FqCpBKzeluR2ObSg1skZ1jfWsCymyrniXTmg/we0YqHCV/5sa7qKAHNX/ec1rtGH7dklSYyikS888U5K0tLVV56xcqSc6OyVJS1padMkZZ8gwDLU2NOiik0/Wo3v2jLutn27cqL8+++xxU7Na6usVDhRepB4/f74uOuUUbdy1qwz3zLsyQcvtCEflKKi+zCrKB1ACvuz0Rj+T8UWqy68t7N2NouBEdEwFBQRHxwL0cUZSKR0aGRn79+83b1Zrfb2a6+t1yZln6s4XCu+kDY6O6vHOTr1q4UJJ0qVnnaU7n39ekpTKZrVh+3adumjR2O3EUin9ZtMmXXbOOeO+38Hh4bG/98RiunfrVp32vztuYSLbZyhrVO7iUsuo16HkCqXSPPUCJZHPyT/NlXPJRLvC2ddwaGGRpPNp9Sd58xJHxxQsHNnIiJSt3BdzbhhJpfS+669XOp+XIWluY6Nu/8QnJElff9e79Dc//7m+v2GDDMPQP7/lLVq3bJkk6dNvfKM+esMNOumrX5VpGPrLtWv13rVrx2735ief1LqlS7WyvX3c9/vPDRv0h2eeUdDnk+04+uwFF+i8NWvKdXc9J9tYues/csYc9cTny6rsARrA8xqU07CC0/qadCqqkH2OcuHHZBuV+RziJYfih9RW1+Z2DFQww3EcNtnB5HbtktavdzsFMGWxjjoNRZJux5ggo3b1xlpl82wLlFysqV0HNbPNHQKBrJz6J5RXosipasvqltV6w/I3uB0DFYx5ADgy1n/AYzLBynuFnzbmqWeE8gGUS8ie+Z7WuVxQip+lgCYeaIipG0gxfRtHRwHBkVFA4DFZX2UdppEyFqhnuJmzXIAyCuRmN3U4b/llxU5XyOkoUqLaM5welmUz3xRHRgHBkVFA4CFWwFRelXNoZlIL1Tvc5HYMoOaY09wJazK2bSoTO0Vhh00/ZsJ2bEZBcFQUEEwunZYyLMSDd2QbKmdb24SzWH0jjce+IoDisy2FDHv2t+NImdgJCjuLjn1dTDCQpIDgyCggmFws5nYCYFqydZWxhWbcXqKBWL3bMYCa1uAUZzqm4xjKxE5U2FlYlNurJWzFi6OhgGByFBB4TCbg/nzjEXuZBuMz230HQPFEnOJNxyyUkJMoIdNEAcHRUEAwOQoIPCbrc7eAxOylGo6HXc0AoCBkF/cMK8cxlImfxML0aRhMDcp2ijAVDlWJAoLJUUDgIbbflOXiAvSEs1hD8Yhr3x/AeP4SHKLr2Iay8ZMpIVNkOZaG08Nux0CFooBgchQQeEiuzu/a906qgzUfQIUxclmpBBtgv1xCFhT9tqsR07BwJBQQTI4CAg/Jhd1ZgJ7SfPWNRF353gCOwrFVp9JM/ymUkFMoIVNAAcGRUEAwUT4vJZNupwCmLB80yv49M0a7+kbmlP37ApiaoFG6dWGObSgXP5kT049hMDXodgRUKAoIJmL0Ax6T85d3oWPWaFHvSCsnnAMVLFjiBdC2bcqJnyafwxTMI4lleD2ByVFAMBEFBB6T85WvgOTUpJ6RubJpH0BFC6j0O+PlLb98qTNkOJVzEGolSeaSchyeLDERBQQTUUDgIY6kvIpz6NixWEZEvYkFlA/AA/x2ebbmzmZDCmXOEi+pJrIdW6O5UbdjoALxaMFEFBB4SD7sk1OGyVCO/OpLLlHe/fMOAUyB3ynfgzWdrlcke3rZvp+XxDNxtyOgAlFAMFEi4XYCYMrydaWf+uBIGsgtVyZb/sXuAGbGtMr7bkEq2aI665Syfk8vSGR5TYGJKCCYKJVyOwEwZfkyTL2O2cs1mnRnq18AM2NY5T+cNBnvUMReWfbvW8niWUZAMBEFBBOl024nAKbMCpT2aSypDg3HQyX9HgCKr9wjIC9JxVdxWvorMAKCyVBAMBEFBB5imaVb/5FRq/o5aBDwJisvVyZNOlIufpL84rlDYg0IJkcBwXiWJeXKs6MQUAyWrzQFxDLq1Rdv56wPwMOCZdiKdzK2bcpMrpXhMHWTERBMhgKC8Rj9gMdYZvHPAHHkU9/oIlnlPd8QQJGFDPcexNlsSOHcWte+f6WggGAyFBCMRwGBx1gleIdzOL9MmRw7XgFeF5S77yKkki2K2KtdzeA2y7GUzCXdjoEKQwHBeBQQeIhjFL+AJNWh2CinGgPVIFDGs0COJJ1YrqDT6nYMVzEKgsNRQDAeBQQeYgWLO786bzRqIMbCUaBaBBz351E6tiE7eapMBd2O4ppUju39MR4FBONRQOAhVqh4BaSw7qNDNqvOgarhs90fAZGkfC6gYKZ2T0rP2Wxug/EoIBiPAgIPsX3Fewobyi1XlnUfQFXx2eU/jPBI0qmo6uwT3Y7hiqyVdTsCKgwFBONRQOAhtq84hSGpDsWT/qLcFoDKYdruT8F6pWR8sUKa73aMsstZjIBgPAoIxqOAwEOKscV+zoiy7gOoWhU2p9KRrMRJNbcehClYOBwFBONxCCE8xJ71AIihgeQC1n0A1cqpvAd3Pu9XKHeq2zHKiilYOBwFBONV2HA1cDTOLKdgxezFymRZ9wFUK6Py+ockKTXaorCzyO0YZcMULByOAoLxKCDwEHsWz2A5o0lD8brihQFQgSq0gUjKJ9bUzFQspmDhcBQQjEcBgYfYM3x705GpgdHaWwgK1JzK7R/KW36Fcq92O0ZZMAULh6OAYDwKCDzEmeEzWMJeogxb7gJVz1Bl/05LjTYr7Cx2O0bJMQULh6OAYDwKCDxkJiMgOWOOBuPhEqQBUHEqeATkJbnEGplOyO0YJcUICA5HAcF4FBBUMUc+9Y/OczsGgLKp/AZiWb6qn4rFGhAcjgKC8SggqGJxezGnnQO1pAK34Z1MKjlHYWep2zFKhilYOBwFBONRQOAh03lpkTcaNMzUK6C2eKN/SJJyidUynIDbMYCyoIBgPAoIqtRQpsNLr0UAFINHRkCkwlSsiHWS2zFKwjAYecZ4FBCMRwFBFUob85RM8XQH1BwPFRBJSo7OU8BpcjsGUHL8RsZ4FBBUGUc+DSSa3Y4BwBXeKiByJF/2ZLdTFJ0hRkAwHgUE41FA4CnHfnERtxcpny9DFAAVyWsvfdOpBoWdRW7HKCqmYOFwFBCMZ/IjAQ85xi81y6jXcDxSpjAAKpHptVEQSVZytXiJhmrGTzfG8/vdTgAUDQvPAXjxvfdcLqg6+3i3YxSNafByE+PxE4HxKCDwkKMdhJ4x2jWa8pUvDICK5NWJxenEQvmc6hjB9Rk8F2M8CgjGo4DAQ0xn8vc2HUlDoy3lDQOg8himbE+OgUi2bSqYq44F6T6TAoLxKCAYjwICDznSCEjaWKAMJ54DNc8xvf08kEq2KOi0ux1j1hgBweEoIBiPAgIPMSadW2FoKME++gAkowo2VjHSa9yOMGuMgOBw3n9korgoIPAQc5ICMqoO5dh2F4Akpwreec9k6hVyOtyOMSuMgOBwFBCM5+NJAt5hHLYGxJFPw4lGl9IAqDSOr0pe5qRXuZ1gVgK+gNsRUGGq5JGJomEEBB5i2uMXgYw6HcpbLoUBUHHsKtn+NZOJKOwsdDvGjEX81bGbF4qnOh6ZKB4KCDzklWtAbCOg4US9e2EAVBynCtaAvMROeXcUJBKggGC86nlkojgoIPCQV46AJKwOWV7d8B9ASVTLCIgkZbNhhZ1FbseYEUZAcLjqeWSiOCgg8BAzXyggjoIaSfALDsB41VRAJMlJr3A7wowwAoLDVdcjE7MXYKEYvMOXLQx5JJz5so9yKjqA2mR59BDCI8lkIp7cESvsD7sdARWGAoLx6urcTgBMmZmz5MinkVF+bgFMVG0jIJKk9Eq3E0wbU7BwuCp8ZGJWIjxJwDt8OVspzZfFzlcAJmFVYQHJZOoU0ny3Y0wLU7BwuOp7ZGJ2GAGBhzgyFR/l1HMAk8tX6cscI7Pc7QhTZshgChYmqM5HJmaOAgIPSYaXyLBDbscAUKGqbQ3IS9KpqPxqcDvGlFA+MBkKCMYLhTgNHZ4Rt5fKL3ZuAzC5vFOdBUSSgnlvnAvC9CtMhgKCiVgHAg/IBOcqkw3L71BAAEwuX6UjIJKUSbXJcCr/DUMWoGMyFBBMxDQseEDMV9gP329TQABMxlC6il/mWJZPYVX+WhBGQDCZ6n1kYuYoIKhweX+DkqnC4nMzz9MYgImcQECq4hEQSbJSlX8yelOIjUIwEb+5MREFBBUuHnx57rMvX/lTEACUn10DB+tmsyEFnbluxziqOeE5bkdABaKAYCIKCCqYI1Ojmbaxf/uyFBAAE+XN6i8gkuTLVfY0LAoIJkMBwUQUEFSwdHihLOvl0mHkDJlVeNgYgNnJmbWxPiyVmiOfU7nrLJrCTMHCRPzWxkQUEFSwUWPhuH8bMhQ0gi6lAVCpMjVSQORIIbsyt+RtCDbIXyv/HzAt/FRgogZvHG6E2mObQSXT0QmXhxRSWmkXEqEU/vFf/lFDI0OSIdVH6vXJyz6p1ctXa3hkWP/23X/Twe6DCpNniisAACAASURBVAaC+oe/+wedeuKpkqRMJqP/+P5/aOvOrfKZPv3tB/9W55597rjbHRoZ0mWfuUwnrTlJX/v818Z9LpPN6O8+93cKBoL68bd+XLb7itJJq3amZ2ZTc1WJ5xIy/QpHQgHBRNGJL/CASpAMLZWTmrirTTAfZDy3ilz1j1epvq5ekvTgYw/q6u9drZ9c8xP98Jc/1EnHnaRvfumb2rpzq770jS/p5h/cLJ/Pp1/d+isFg0Hd+J836lDvIV3xhSu09pS1amxoHLvda66/RmevO1uxeGzC97z+F9frVSe8Slt3bi3b/URpJT1wRkax5PN+hTRfGXW7HWUcCgiOhF/ZmMjvl+rr3U4BTDBqz5/0cn+W91KqyUvlQ5ISowmZZuFX1YaHN+idF75TknT8quPV3tKuZ7Y8I0m6b+N9euebC59bMHeBTjv5ND3w2ANjt/PH9X9Ux7wOver4V034fk8+86T6h/r1pte/qVR3CWXm+HyyqnwL3sOZucrbkpcCgiOhgGByTSwaQ2XJ+xuUzky+PimQrI3dbmrJ17/7db3vo+/Tz27+mb74yS8qFo/Jsi01NzWPXWde+zz19PVIknr6ezSvfd64z/X290qSDvUc0m1336a//eDfTvg+idGEfnTDj/TZj362xPcI5eT4a29dWDY9R5X2so4CgiOprJ9UVA4KCCrMaHDZET9n2IYCNbLlZq344ie/qF9f/2t95JKP6Ie/+GHhQmdmt/Uf3/8P/f/t3XmYZHVh7//PWWrvrt6X6RmGmXFmYNiHfVVAZTNcE6MYFZ+b5SYm6k8QxSxXjSZGyTUaNYEk4mNClORqYnJDAkkAA1EQCMoSVhGYfevp6em91nPO749yGoZZeqs631N13i+femaorq7+dDtdVZ/6btf9r+uUTCQVBAffyZe+9iVd+7Zr1dHeccjH0Lw8N36PB57nKB0MmY5xEAoIjoR5Czg8CggiZrrSd9SPp5VWRZWQ0iAsl198ub741S9KkhzH0f7x/bOjILv37p4d9TgwGtLd2V372PBunXXaWZqemdbLW1/Wp7/waUnSTHFG5XJZN3z6Bn3xd7+op55/Sk8//7Ruue0WlcolTU5N6r0feq++8ZVvGPhuUS9VJ54vb6zKcim53XQMSVLSSSqbYFdNHF48f0MxNwoIIqSU6FOlcvQpFUk/flMuWtHU9JRK5ZJ6unok1Rah59vzyrfndfH5F+uf/v2f9IvX/KKee/E5jYyOzO6CdfF5F+uf7v4nbVi3Qbv27NKTzz6pG37tBuWyOd3xl3fM3v+/3fdveuDRB2Z3wfrWn31r9mNPPPOE/vQv/5RdsFpAyYrny5tSsUNW0lWgqukojH7gqOL5G4q5dXXNfRsgJNPuSs01uJEoJyQ6SNObnpnW737hd1Uul2VZljo7OnXTb98kSXrfte/TH3z5D/SeD75HiURCn7juE3Kc2k5Hv/DWX9Af3vyHevcH3i3HdnT9/7pe+XZ29IurouUsespeM/N9S5lghQrWZtNR1JvtNR0BEWYFTHrF4QSB9PWvS55nOgliLpCtHc6lB51+fjhewtP2jmhMPQBg1uaOFbE6B+TV0pkJFVMPmY6hS1ZdonU960zHQESxCB2HZ1lSJ8OnMK+YXj5n+ZAkp+LIseL5ggPAq1h2bMuHJJWK7bIjMBw80DYw940QWxQQHBnTsBABM9b8n8TSVrqBSQA0gyBh/sW3SUFgKeUfazRDNpFVPsUUSBwZBQRHRgFBBBQr898QIRWkGpgEQDOoJHkcULXH6JcfyDH6gaOjgODIKCAwrJLoVLU6/70yEpX47f0P4GAFlwJSKrZLgbmT4Jl+hblQQHBkfUc/dwFotEJicEG3d4ts7AfE3WTAGxG+byupfmNfnxEQzIUCgiPL5WoXwJCiv7BpBE6RhehArNm2pmK8AP3VXN9MCXAsR3053sDE0VFAcHT95t5BQbwFlqNiaWEF2JKlrMXJu0Bc+am0JHNTj6KkWjIzjbov1yfb4uUljo5/ITg6CggMKSYHFCxiDnO6zE5YQFyVWP8xq1xOy1b4j4dMv8J8UEBwdBQQGFJ0FvcklprhBQgQVzN2vLfgfa1UMBT612QBOuaDAoKj6+urHUoIhKxQnf/2u6/mlB2lbEoIEEeTYgH6QSrhr8UYbFvY5iGIJwoIjs51pe5u0ykQM56TVaW8+BKR9VkHAsRN4LixPgH9cMql9lC/Xle6S2mXabCYGwUEc2MaFkJWSC5f0uenSzwBAnHjpfi9fy3Pc5RUb2hf79hOsyewo3lQQDA3CghCVtTSTvFNTCXYhQWIGRagH57rh/ccvrJjZWhfC82NZ2jMjQKCEAWyVCy3Lek+rIDteIG4mWYB+mEF1XwoXyftptkBC/NGAcHcOjulBAv7EI6K2yHPW/o87kw1U4c0AJrFOCegH1alHM6Bwis7Vspi0xrMEwUEc7Os2m5YQAjKbn02PUhNMx0DiIsgmZLHAYSHVa26ctT4EeFjO1j/gfmjgGB+hsLfSxzxVLEWt/3uazklRwmbd0SBOKgkWYB+NImgsW8i2patFfkVDf0aaC0UEMzPCh5YEI6yV7/pArkgnKkHAMwqOKz/OBrb62ro/Q+1Dynh8IYP5o8Cgvnp65NSTGlB45XruHaD7XiBeBiz+F0/Gq/a2PNAmH6FhaKAYH4sS1q+tLMZgLlU3Lx8v34PS8mpJNvxAi3OT6ZUCPg9P5pKOSMFjVsjw/kfWCh+YzF/xxxjOgFaXDlRnwXoB1i+pYzFblhAKyulmWo5F9+3lFBnQ+67O9OttuTStk5H/FBAMH+sA0GDla36P0HmQtqCEoAZ4zbTr+bDDRpzIjrTr7AYFBDMXy4ndTV2IRvirezX/1209ERajrX0c0UARJDjaCxwTadoDl59dhh8rTVdaxpyv2htFBAsDKMgaKBKpf7vZFq+pTaL6QFAK6qkcxLnf8yLV6n/WSA9mR71ZHvqfr9ofRQQLAzrQNAgVbetLiegH05ummlYQCuaSrDGa76q1fpvVXxc73F1v0/EAwUECzM4KDlMZ0H9ld3GvYuWmE4oZbONNNBaLO0L+L2eL993ZNXx52VbttZ2r63b/SFeKCBYGNeVli0znQItqGw3Zn7yAW0e07CAVuKnM6oy/WpBEqrf4+yxHccq7bIBABaHAoKFYx0IGqDiN3aaVHai/vOfAZgzk2L61UI5ytftvph+haWggGDhVq40nQAtqOo3diqFXbGVs1kLArQKTj9fOMurz2NgNpHVMXnWhGLxKCBYuM5OqYddL1Bfntf4rTTbSkzDAlpCIqkptt9dsMCvz6jR2u61siymv2HxKCBYnNe9znQCtBDfchu2A9arpSZSnAkCtIBSmimVi1Gt01bnx/Uw/QpLQwHB4qzh4CHUj+eGMzXKCiy1qz2UrwWgcSYc1n8sRtVb+la8/bl+dWU4lBhLQwHB4uTzUl+f6RRoEdUQ12Zkp3nnFGhqlq39QcJ0iqYU+JacYGmPt+t71tcpDeKMAoLFYxoW6sQLsYAkZjgTBGhmXiYrn+13F81dwla8juVw9gfqggKCxWMaFuqkqnB3s8l79duKEkC4xhOMYi6FrcX//Nb1rFPSqf+J6ogfCggWr61NGhgwnQItwAvCLSCZ8Yxsi4c/oOnYjkZCfsOi5fiLKxCWLJ06cGqdwyCueAbG0jANC3VQVbhToqyqpXwdD+QCEI5yto3pV0tkBYsrIMd2HquOdP1OUke8UUCwNGvWSOwFjiXyvPAXlLaPt8vihQzQVEZdpl8tVbDIAsLoB+qJAoKlyWalwUHTKdDkqtXwC4hdtpW3GQUBmkYiqbFFvnjGK/xFHPo62DaogTamXKN+KCBYOqZhYQk8K6UgMDMS0T7BmSBAsyhk2kxHaAmBv/A3fE4ZOKUBSRBnFBAs3Zo1ksPp0lgcL2HuRYVTdNRuUUKAZjBiM/2qHnx/YSMgnelOrepc1ZgwiC0KCJYunZZWrzadAk3Kt8yeyZGfYhoWEHV+OqPpgDe66sHzF/ZzZPQDjUABQX1s2GA6AZpUYJl9UeEWXLXZTO0AomwyzUhlvQS+JQXzGwXJJrJa172uwYkQRxQQ1MeyZVJXl+kUaEK+4QIiMQoCRJptazjks4JanavMvG53Uv9Jcmzzj9FoPQvfCgE4kg0bpB/8wHQKNJkgAtMqEjMJ5dpymvanTUcB8BrlbLu8BWyZXSmX9LU/+P+0a+uLSibTau/s0buv+wP1Da3UbZ+/US898yMlU2mlMjm94zc+oVXHHTzFaNeWF/XZD1yti97ybl3zG5+QJE3sH9HffPnj2rtzszzP00VveZfe+LZfruv3GSbbykiaPOptEnZCJ/SdEE4gxA4FBPWzfr30X/8lVaumk6CJmJ6CdUDHTIem0xQQIGpG3JwULOxzLnrLu3XS2RdLku77p7/WX3/hY/rIF/6vNl50hd77kT+Ubdt66uH/0Fd///367DcfmP08z6vqm1/6HW288IqD7u/v/vwzGlq1Xr/+qT9XuVjQ/7nu57X2pLN07PqTl/rtGWEFrubqdCf2n6ikw7bHaAymYKF+kkm25MWCRaWAJKYSyjjzm5YAIBxBMq2JYGHbxiaSqdnyIUlrNmzU6J4dkqRTzn2jbLv20mf1ho0a3zcs3/dnb3vnN76iM9/wFvUNHXvQfW5/6bnZ+0ymM1p3ytl6+N5/WMR3FA3WHC//Uk5Kpw2eFlIaxBEFBPXFYnQsUKBoFBCpNgoCIDomM0tffP4f//CXOvWCyw65/rv/8HWddPbFs4Vk03OP6+XnHtclP/s/D7ntscedrP/6jzsUBIEmx/bpmR9+T/t2b19yNlOC4Ogv/zYu28joBxqKAoL66u+XentNp0ATCSL0MJSaTClts9gViATL1vA8F0sfyV1/c7P27tqin/uVGw+6/uF7/1GPff8uXfvhz0mSyqWi/uZPPqn33vC5w97PO973cRULU/rMr1+lr3/ueh136nlynOadxW5bR37cbU+266T+k0JMgzhq3t8eRNeGDdL3v286BZpElEZAJKmz1Kndid2mYwCxV861q7qAxeevdfe3v6onH7xbH/787UokX3lj4dH7/ll3ffNP9OE/+hu1d/ZIkvbu3KL9w7v0xY+8S4ECFaYmFASBZqbG9Ys3/pFy+U794o1/NHsft3/pf2vZqmbenvbIBeSs5WcdtaAA9UABQf2tXSs9/LBUqZhOgiYQhV2wXi01nlJ2IKsZb8Z0FCDW9rjtC158fsA9f/81PXr/P+uG/3O70tlXzvn54f3/ojv+6ov68OdvV1fv4Oz1y1cfpz/6+x/O/vc///WXVJienN0Fa3piTOlcmxzH1dafPK0nH7pHH//zOxcXLhIOXzB6s71a27025CyIIwoI6i+RkNatk5591nQSNAE/QlOwDuia6FIhV1Cw2Fc/AJakmm1f9Mnn+0d26zt/8QfqGzpWX/jou6QgkJtM6bf+5B/19Zs+rI7uft3yyV+VgkCyLH3483+jXPvR139tev4JfevmT8txXaUzOf3aJ25RvqtvUfkiIbAOuwvWOcvPCT8LYskKgoBnWNTf2Jj0d39Xe4AHjmJv5lzNFKK3+Hu8b1xjwZjpGEAs7eoc0vgCd7/C/GXym1Wwf3zQdSvyK3TVuqsMJULcRO+tR7SGzk5p1SrTKdAEAj+aD0P50bxci0FiIGxeJkv5aDDrNcMfliydu+JcQ2kQR9F85kdr2LjRdAI0gSCiix0tz1J3tdt0DCB2RpLRGxFtPQc/7q7rWafuDI93CE80n/nRGnp7pRUrTKdAxFny576RIZn9GWVsDicEwhKk0tovzp9ouOCVERDHcnTm0JkGwyCOKCBoLEZBMAfbim4BkaSuqS7TEYDYGM10mo4QO6cMnKK2ZNvcNwTqiAKCxlq2TBocnPt2iC0r8ExHOKrETEKdFi+KgEYLEintDVKmY8RE7Y2ffCqvjct4oxDho4Cg8U47zXQCRJhlR7uASFL7/nY5VrTOKwFazXiWtR9hCX468nzhygvl2my2gfBRQNB4K1dKPT2mUyCiorwG5AC7aqvbY4Em0DBuQnvEeqvQWJ7Wdq/VijzrNGEGBQThYBQER2Ar+iMgkpQZzShtp03HAFrSZK6DYz9DlHQcnbfiPNMxEGMUEIRjzRopnzedAhFkNUkBsWSpe5pREKDuHEe7lTWdIlZO7D1RmQQjTjCHAoJwWBajIDisqC9Cf7XEdEIdNvPUgXqayXXKe83BeGicVJBWt9NrOgZijgKC8KxfL7Wx1R8O1iwjIAd0jHawIB2oF9vWLpvRj7BYsuTt6laCg+ZhGAUE4bFt6ayzTKdAxFhB1XSEBbGqlvpKfaZjAC2hmOtQJeClSFjSM52qFhIUEBjHbz3CtW4dO2LhILaaq4BIUmoixdkgwFLZjnY4jIqHJRmkVNjVXvs7h83DMAoIwnfuuaYTIEKaaQ3Iq+VH8krZHJoGLNZEWxejHyGxZCnY3SP9dK0NBQSm8ZuP8C1fLq1g73HUNNsUrAOswFLvZK9si4dRYKGCREq7rJzpGLGRnu5SZaY278qyJJezB2EYz5ww49xza4+CiD3bL5mOsGhuwVVPlSmFwEKNZLs49yMkaT+rwu722f/OsPsuIoACAjO6u2vrQRB7bnXKdIQlye7Pqs1mHjswX142p31i+mIYXLkqbzv4TRI2o0QUUEBgzllnSQ7bmcadJV+O05zrQA7oHu2WazOnAZibpV1JNnAIhyVnpFd+9eCXehQQRAEFBObkctLJJ5tOgQhwnYrpCEtiVS31FdiaF5hLqb1DUwFlPQzZQodK44eONOVYeoMIoIDArNNOk9Jp0ylgmGM37zqQA5KTSXVb3aZjANFlO9ph502niIW0n9bMzo7DfowREEQBBQRmJZPS6aebTgHDXLtoOkJdtI+0K21TqIHDmWrrVllsPtJojhxVdvQe8eMUEEQBBQTmnXCC1HH4d2oQD27QGgVEgdQ7wda8wGsFiaR2WFnTMWLBHe2RVz7y+kqmYCEKeJaEebYtXXih6RQwyPGnTUeoG6foqKfC1rzAq41mu9l2NwTZUodK+4++zy4jIIgCCgiiYflytuWNMbeFCogkZceyyjPXHZAkeZms9rLtbsOlgrRmth99NoFtS1kGohABFBBEx3nnSSmepOLI9Zr7LJDD6drbpazDMz2wO9VlOkLLc+Wqsq1XmmONDaMfiAoKCKIjna6dkI7Ysf2ybNs3HaO+AqlnX49SNqUa8VVu69Ak2+42lC1b1q5++ZW5z9Vi/QeiggKCaDnuOGnZMtMpYIDjNvdZIIdjV231jffJsThwEzHkONrusMFIY1lKjPaqMpOY160ZAUFUUEAQPRddVJuoilhx7dYrIJLklBwNzAywMxZiZ7S9l213Gywz1T3novNXa29vYBhgAXhGRPR0dtYOKESsuFaLbMV7GInphPrKnJSO+Kjk8hoOOBOnkbLlvAp7Fjak0cMGfYgICgiiaeNGzgaJmYRabyH6q6XH0+oJePZHDLiutiZ4/G6ktJ/RzLbOBX8eBQRRQQFBNDlObSoWYiPhjZmO0HBt+9rUYfPCDK1tX65XlYCXF42SVFKlLXPveHXI5yWlPLuDIyJ4hEB0DQ1J69ebToGQJCujpiOEonNvp3I2W9GgNVXa8pz50UCOHHnb+xT4C3/51t3dgEDAIlFAEG3nnsupSTFhBxW5btl0jMZje160KtfVFmfh04IwP5YsOcP98kqL29a4t7fOgYAloIAg2tJp6fWvN50CIUkmCqYjhMLyLPWP9cu1OR8BrWNvrldVdr1qCEuWkqN9Kk8mF30frP9AlFBAEH0rV0obNphOgRAkrdZeiP5qdtlW/1Q/2/OiJZTbOrSPqVcNYim1v29B2+0eDgUEUcIzH5rDeeexK1YMJP1x0xFClZhJqL/UL4t3jdHM3IS2cOBgg1hKj/WqOLq08mHbUldXnSIBdUABQXNwXemSSySLF2qtLFneazpC6FITKQ1UBighaFrDbb3y+PfbEJmJHhX3LX0dZGdnbXNJICooIGge/f3S6aebToEGcvyiXLdqOkboUuOUEDSnUnunRoPFr0vAkWUme1TYW58d85h+haihgKC5nH66NDhoOgUaKJWYNh3BCEoImk4ioa02B0s0QmaqR4XhhZ1yfjQUEEQNBQTNxbKkSy+tnaiElpS04rUO5NUoIWgmu3NMvWqE7EyXCnvqVz4kqa+vrncHLBkFBM2nrY2teVtYyovHgYRHQglBMyjkuzXG1Ku6yxa6NLOrvqNKjlObwQxECQUEzWnNGun4402nQAMkyyOxf+mdGk9poDzAFr2IJC/bpi1Wfd+hh5QtdmpmZ/2ntA0OsgAd0cOzG5rX+efXtvZAS7ECT8lk0XQM41ITKQ0UKCGImERCmxLdUuzfJqivzHS3ZnY0Zivj5csbcrfAkvDMhublutJll7EepAWl3f2mI0RCciqpwZlBORZvXyICLFs7cv2cdl5Hliylx/pU2N3esK9BAUEUUUDQ3Do7a+eDoKVkqrtNR4iMxHRCg1ODci3XdBTE3P6OPk0G/DusF1u2kiP9dTnn40iSSam3t2F3DywaBQTN79hjpTPOMJ0CdZQs75XjeKZjRIZbcDU4OaiEnTAdBTFVbO/SniBtOkbLcOXI2TOg0nhjf6ZDQ5zfi2iigKA1nHGGtGqV6RSoE0uB0slJ0zEixSk6GhwbVMpOmY6CmPEzWW22GzdFKG4SSkg7BlWZavz0YaZfIaooIGgdl1zCovQWktaI6QiRY5dtDewbUM6uz+nIwJzchDYne8Wi8/pIBil5WwdULYYzlY0CgqiigKB1JBLS5ZezKL1FZMo7TUeIJMuz1DPco26r23QUtDrL1s62PpUpH3WR9jOqbO6XXwlnU4lslvfkEF0UELSWjo7aSeloeo5XUDJZMh1j1qe+9Sld+DsXavWvr9Zz25+bvf7mf71Zl37yUq359TW658l7Dvqcz/+/z+uNv/tGXfWZq/TWz71V33v2e4fc78jEiM688Uy978/eN+8sliy1723XQJVtetE4Y/leTQSsO6qHTLVNxc19Cvzwfl8Z/UCU8cyF1rNypXTmmaZToA4ybnRORX/LGW/Rdz72Ha3oWXHQ9RdtuEi3feg2nbP+nEM+5+x1Z+uuj9+luz5+l2567036wFc/oGL54DNO/vft/1tvOuVNi8qUHktrcJrF6ai/UlunditjOkYLsJSZ7lJhS48UhDuSRAFBlFFA0JpOP51F6S0gXd1jOsKss9aepYHOAQVBcND1p6w6Rcf0HnPI9ZL0hhPfoFSitmj8+OXHS4G0b2rf7Me//eC3tbJvpc5cu/jCnJhJaHD/oDIOLxZRH346o81OYw7FixNHjlIj/Srsrv/p5vNBAUGUUUDQui65ROpmnnwzS5WHZdu+6Rh1caBsLO+uvSrYNrJNt3/vdn30rR9d8n3bFVv9w/3qsHnRiCVyXW1J9+rQOo2FSAUpafuyhm+zeyT9/VKOvSoQYRQQtK5EQrrySqmtzXQSLJKlQOlU82/H++BzD+ord31FN//azbPXfeyvP6bfe9fvKZVIHXb0ZMECqXO4U31+nywWDWMxLFu7cv0qBbw0WIpMpV2lTQPySuEsNj+c173O2JcG5oUjTdHacrlaCbnjDqkUnQXNmL+MRjSj5n1n/+EXHtbHvvExff0DX9eq/lWSpMnCpH6848f64K0flCRNF6dVrBR17Zeu1Tev/+aSvl52NKtlbcu0J7NHXsBhjpgvS8MdAxpn0fmiWbKUnuxWYdj8m15r1phOABwdBQStr6tLuuIK6c47pWrVdBosUG073uZ8O++RFx7RR/7yI7r1/bfquOXHzV7fnmnXY194bPa///6hv9c9T9yjv/iNv6jL101MJTRUHtLezr0q+sW5PwGxN9rRr9GALcwXy5Ure7hPhUnzP8PBQaZfIfqsoC5j/0AT2LJFuvtuiX/yTWdP+kIVi2afUX/n9t/RfU/dp5GJEXXmOtWWbtN9v3+f/vSuP9Xt37tdo1Ojaku3KeWmdOfH71RXW5cu+cQlmipOqb+jX4ECWbL0x7/8x1o/tP6g+653ATkgsAPt792vSb/5p7GhccY7+rRLWdMxmlbaT6u8vTe08z3mcsEF0oknmk4BHB0FBPHy/PPS9w49iwHRNp1Zo5HCOtMxmlahq6B97j6mZOEQ0/kebbPMTxlqTpayxQ7N7MgrKifFW5Z07bVShk3xEHGsNEO8HH88Z4Q0oUxxq2yb90oWK7M/o2Xjy5SzmZeBVxTbuygfi5RUQsnhQc3s6FBUyockLVtG+UBzoIAgfk4/XTrhBNMpsAB2UFU2td90jKbmlB31Dveqz+vj9HSo3NahzbaZ8ymaXbacV2XTMpUjsN7jtdj9Cs2CZyHE0wUXSKtXm06BBcj5201HaAnZ/VktH1+urMOc/7iqZtv0MgcNLpgrV6mRAc1s61LgR2fU4wDb5mkNzYMCgniyLOnSS2vj1WgK6dIuuS67mNWDXbbVt6dPfT6jIXHjZ7J6OdGtKE0bagaZapu8zeYOFpyPoSEpHd14wEF45kF8OY50+eXSwIDpJJinXHKv6QgtJTua1dDEkDIOk8bjIEim9VKyVz7lY94cOUrv71dhS48CL9ovmZh+hWYS7d8moNGSSemqq2obpyPycuXNpiO0HKfkqG9Pn3qDXkZDWliQSGlTpl8e5WPeMl5OwdZlKo5Gv6C7LtOv0Fx4tgESidpp6ZSQyEtUJ5RKFUzHaDmWLOX25TQ0OaSMHf0XW1ggN6GtuX6VKR/z4spVeqxPhc3ROdtjLmvX1t5PA5oFBQSQaiXkqqtYE9IE2uxdpiO0LKfoqG+4Tz1BD6MhrcJ1ta1tQIWA/z/nYslSttgpb9OQivuaa5MGDh5Es+ERCTjAdWsjIUNDppPgKLKlLbIskwliLAAAHOVJREFUzgRpFEuW2va1afn4cuUttmltaomEtrQNajpojnfxTcp4WTk7hjSzoyOSO1wdzeCg1NNjOgWwMBQQ4NVcV7riCmnFCtNJcAS2X1Y2PWE6Rsuzy7a69nZpaGaILXubUJBMaVNuUAXKx1EllFBqtF+FzX2qFl3TcRaF0Q80IwoI8FquW9sdixISWTl/q+kIsZGYSahvT58GS4NK2SnTcTAPfjqjlzIDKjHt6ohs2coWulR5eZlK+5t33VM2y+JzNCcenYDDObBF7zHHmE6Cw8iUdiqZLJmOESupyZQG9w6qz++TazXnO8Vx4GVyeinVpyoLzo8oU83J2j6kmZ15KWjun9Pxx9cOIASaDf9sgSNxHOmyy6SVK00nwWHk7S2mI8RP8NOzQ/YNqVvdLFSPmGq2XS8me9lq9whSQVrJvYMqbOmVV2r+qWm2LZ1wgukUwOLw7AEczYESsn696SR4jWxxMyejG2L5ltpH2jU0PqS8zUL1KCi3dejFRJfYnuFQySCl1Gi/Si8PqDzROtMIV62qTcECmhEFBJiLbUsXXyydfrrpJHgVS4HyiR2mY8SaU3bUNcxCddMK7V162emUGPk4SFJJpcf6VH55sKnXeRwJi8/RzKwgCHjDBJiv55+XHnhA8n3TSSDJt1zttC+W5zX/dIpWUMqXNJ4eV8HnsMiwTOV7td3KmY4RKUkl5YznVRhp3Z9Ld7f09rebTgEsHisJgYU4/ngpl5PuvVeqVEyniT07qKotNazxGQ6QjILUREr9E/2qZCuabJvUpD9pOlJLG+/o0y4x8nRAMkjKHu9oukMEF4PRDzQ7RkCAxRgZkf7t36SZGdNJYs+z09oRvF5Bk+9m04q8lKep/JQmNCE/YNSwbixbox19Gg7SppNEQipISWMdKo223jSrw8nlpF/4hdoSRaBZUUCAxZqclP71X6WxMdNJYm80c7omC32mY+AIAifQTOeMxp1xVXxGDpfEtjWcH9BokDSdxChLltLVrLz97S21sHw+LryQ3a/Q/CggwFKUStK//7u0e7fpJLFWddu1s3o+OwBFnSUVO4oaT46r6BdNp2k+iYS25/o1FcR39rQrV8lCm4p72+RX4jcE0NZWG/3g7A80OwoIsFSeJ913n/Tyy6aTxNpI5hxNFzpNx8A8ldvKmsxOasqfMh2lKXjZNm1KdMf2gMFUkJY13q7ivozivNvX619fW4oINDsKCFAvjz4qPf646RSxVU72aFf5TNMxsECsE5lbId+tLVa76Rihs2UrVcmpuq9Nlel4TzmTpPZ26Z3vZPQDrYECAtTT5s3S/fdL5bLpJLG0J32hisXW3XqzlQV2oFJ7SdOpaU370wqYUCfZjvbl+7Q3iNcah0SQVKKQq02zqvJq+4A3vEE67jjTKYD6oIAA9TY+Lt1zjzQ6ajpJ7JSTvdpVPsN0DCxR4AQq5ouaTtTKSBwFiZS25/o0HcRjnUNCCSWKOVX2Z1WZSZiOEzn5vHTNNYx+oHVQQIBGqFal731PevFF00liZyRztqYLXaZjoE78hK9iW1FTySkVvHgccFj96XoPr8XXOrhylSxnVdmfU2WKKVZHc/HF0vr1plMA9UMBARrp6aelhx/m5PQQVZ2cdvoXcC5IC/KSnortRU05Uy27i9Z0vkfbrDbTMRrGkaNkOStvPBe77XMXq6OjNvph8ZCGFkIBARpt9+7ayekcWhiasewpnI7e4ryUp0JbQVPOlEp+yXScpbMd7c33a18Lnu/hBq4S1Yz8iaxKYynFeRerxbj0UmntWtMpgPqigABhmJmplRDOCwmFb7naaV8sz4vH/Pm489KeStmSim5RhaCgalA1HWlBgmRK2zJ9mlFr/Hu1ZSvppWUV06qMZ1QtxPfckqXq7JTe8Q5GP9B6KCBAWHxfeuQR6amnTCeJhanMOu0rrDEdAwbMFhKnqIKiXUiquXZtcruafL2HpVSQlFPKqDqZVnkiKUY56uOqq6QVK0ynAOqPAgKEbfPm2gL1YmvOYY+KQJZ2Jd+gSpl55nF30AiJCqr6ESgklq3JfLd2qBm3jbaUCFy51bT86bQq42m2y22A1aulN7/ZdAqgMSgggAmFQq2EbNliOklLK6SGNFw62XQMRIyX9lTMFFVKlIwUkiCZ1o5sj6aC5pialFRCTjUplVLyZpKqTCUV+IxwNJLr1haet7XufgSIOQoIYNLzz0sPPSRVKqaTtKzh9AUqFHkWx5H5CV/VVFXVZFUVp6KKVVFZZVX8+v9eFtq7tNXOR/aYRTdIyPWSsstJVacPlA1GN8J21lnSxo2mUwCNQwEBTJuYqJ2ezgL1hqgkOrWrck5kX/AhugI7UDVdlZf0VHErKttlVVRR2S8v/KT2RFK7cz0aM77LlSVXjhzfle27sioJ+WVHfimhyoyrwKNsmNbRUVt4zqGDaGUUECAKgkB68knphz/kzJAGGM2cqclCj+kYaBGBAvlpvzZikqjIsz35li/vp/+rqirP92ZLSrmtQ1ucjoYvNLdkyZEtW7aswJHt27I8V0E5Ib/kyCslVC04YoF4tLHwHHFAAQGiZN8+6b77pNFR00laimentVMXyWcqCUJUSdh6Pt2hvUrJdgJZjj97kR1I1tGffl/77GzJqo1QeLYCz5ZftRVUa396FVvi8M2mt2qVdNllplMAjUcBAaLG86RHH61t18uvZ91MZdZqX+F1pmMgJkbTbXqy3KUypRfzxMJzxAkFBIiq3btrO2WNjZlO0jJYkI5Gq7qunne7taOYMR0FTYaF54gTCggQZb4v/fd/S489JlUjcHZBk6vaWe3SBUzFQkOMZNr138VOVQL+fWFhOjqkt79dchzTSYBwUECAZjA1Jf3gB7VDDLEkTMVCvVVcV885PdpVSpuOgibFwnPEDQUEaCZbt0oPPihNTppO0tSYioV68G1bO1Ider7QLp+dpbBIGzZIF11kOgUQLgoI0GyqVenxx2vb9rJl76J4TlY7A6ZiYfFGMm16ptSpos+cGSxePi/9/M9LiYTpJEC4KCBAsxobq42G7NhhOklTYioWFmM6ndazXpdGK6YPFESzsyzp6qulwUHTSYDwUUCAZvfSS9JDD0kzM6aTNB2mYmG+yomEXnS6tI3drVAnp5winXuu6RSAGRQQoBVUKrXdsp58kt2yFoCpWJiLb9valu7QCzOs80D9dHVJb3sbu14hviggQCuZmalt2fv886wPmSemYuHwLO3NtOmZUodKrPNAHTmO9HM/J3V3m04CmEMBAVrR2Jj0X//Ftr3zxFQsvNpUOqNnvC6NVVgZjPo7/3zppJNMpwDMooAArWx4uFZEdu40nSTSPCejXdb58qqu6SgwqJxI6AWni1PM0TArV0pXXGE6BWAeBQSIg507a0VkeNh0ksgqJfu1p7xRPCDGTzmR0HY3rxcLOQWs80CDZDK1084z9FuAAgLEytat0qOPSvv2mU4SSZOZ9RotrDYdAyEpJpPabHdoazFD8UDDXXmldMwxplMA0UABAeJo61bpiSek3btNJ4mcfZmzNFVgdWgrm06n9XKQ184Sb0UjHGeeKZ1+uukUQHRQQIA4Gx6ubd27ebPEQ4EkKbAc7U5cpHI5ZToK6mw8ndVLfl57+f8WIVqzRnrTm0ynAKKFAgJAGh+vnSPywguS55lOY1zVbdPu4Fx5HtuvNj9Lo5mcXqjmNc6uVghZT4/01rdKLvtbAAehgAB4RaEgPf209OyzUqlkOo1RhdSQhksnm46BRQpsW3vTbXqh1K5pj1d/CF86XTvvo73ddBIgeiggAA5VqdQOM3zqKWlqynQaY8azJ2psZoXpGFgAz3G0J9WuF4ptHCAIY2xbuuoqaWjIdBIgmiggAI7M96VNm6TnnovtWSJ70+dpppg3HQNzKCWT2u206cViTtXANh0HMXfBBdKJJ5pOAUQXBQTA/ExMSD/+ce0yM2M6TWh8K6Hd7oWqVJKmo+A1PMfRaCqrLdU27Svz/w+i4fjjpde/3nQKINooIAAWJghq2/g+/3ztzxg8hFQSndrtnSXf5531KJhKZ7RDbdpazMjn/A5EyMCAdPXVtSlYAI6MAgJg8WZmXhkVmZgwnaahiqkhDZdPUhDwgteEciKh4USbNpVymmF3MkRQLie97W2cdA7MBwUEQH3s2FEbFdm8uWW38p1JH6u9xeNNx4gN37a1P5XVVq9Nw5zdgQhLJGojH729ppMAzYECAqC+KpXa1KyXX5a2bZOqVdOJ6moqs077CmtMx2hpU6m0dtm1KVYsKEfUOY505ZXseAUsBAUEQONUq7US8vLLtVJSqZhOVBcT2RO0f+YY0zFaSjGZ0oib0ZZyTlNVzu1Ac7Bt6c1vlo491nQSoLlQQACEw/Ok7dtrZWTLFqlcNp1oSfZnT9PEzIDpGE0rsCxNp9IaVkY7KlnWdaDpWJZ0ySXS2rWmkwDNhwICIHy+X1szsmlTrYwUCqYTLcq+zFmaKnSbjtE0PMfRRDKtPUFWO0ppplehqV10kbRhg+kUQHOigAAwb3S0Njqyc6e0a1fTTNUKZGkkfS4HFR6RpUIqqf1ORruraY2UkwrYNhct4JxzpFNPNZ0CaF4UEADR4vvS8HBthGTHjtrffd90qiMKZGs4fb6KxZzpKJFQdV2NJ9IaCTLaWU6rzNkpaDGnnSadfbbpFEBzo4AAiLZKRdq9+5VCsm+f6USH8K2E9iTOV7mcNh0lZJaKiYSm3ZTGgqRGvJTGKgnToYCGOeEE6cILTacAmh8FBEBzKRalkRFp797aZWREmpoynUqendYe5zxVKknTURqm7CY0k0hq3EpqtJrSvkpSHgczIibWrpUuvdR0CqA1UEAANL9C4ZUycqCYzMyEHsNzMtrjnKNKCxya5zmOphMpTdpJjXpJjVRSTKdCbK1eLb3xjbVtdwEsHQUEQGuamXmlkOzfL01MSOPjDV/g7tkpDbvnNtF0LEuVhKuy42jKTmq/n9JIJalpj7M4AEk6/vjajlcWg31A3VBAAMRLoVArIuPjr5SSOpcT30pob/JcFUvZutzfUlVdRxXHVdF2VbRczQSupjxXk56rGc9hZ6oW961vXacnn7xDo6Nb9PGPP6EVK06RJN122y/rpZceVDKZVSrVpne844+1atWZkqTh4Rf1zW/+mmZm9qtaLemkk96it7/987P3+dhj39G//MunFQSBLMvSBz/4L+ruXqlyeUZ/+7cf1JYtP5TvV3XqqT+rn/u5zxr5vuvh1FNrO14BqC/e4gIQL5lM7TI4eOjHDpSTiYnaWpNCoXZ57d+r1aN+CTuoqK/8kPamz2347liBZcm3bVUdRyXbVcFyVZCr6cDVZLVWNLyqJR09MlrYGWe8Q5df/pv6/OcPXj29cePb9N73fk22beupp+7UV7/6Dn32s5skSd/5zo3auPFtuuSSD6paLeuznz1TTz/9Rp100hXauvVx3XHHJ3TDDfcpnx9QqTQt264dJHnXXZ9VEPj65Cf/W77v6eabr9Zjj31Hp5/+86F/30vFVrtA41BAAOCAo5WTV6tWDy0n5XLtes+TqlXZ1ar6/X3aOdmlfaOurECyDow1BIEsS7PX+ZYlT7a8V/1ZkS0vsFWVpUpgqxJYqga2yoGtiv/T63xLQWBJnmoX4DDWrq0Vj9dOeDjllJ+Z/fvq1edqfHynfN+XbduyLFuFwrgkqVSalu9X1dGxTJJ0771f1JvedIPy+QFJUir1Ssnevv1JnXPOeyRJtu1ow4Y36+GHv9FUBcSyalOujj/edBKgdVFAAGChXFdqb69djsKSNBRILz8gPfdcONGAxfjud7+kk066SvZPV1lfc80f6+abr9Z//uctmpkZ01ve8gkdc0xtOGDXrmfV07NKX/jCxSoWJ3XyyW/R1Vd/WpZl6dhjz9CPfvR32rjxbapWy3riif83W2SagePUdrpavdp0EqC1sZ8DADTQgXdTzzjDdBLg8B5++Jt67LG/17XXfnX2uvvvv0VnnfVu/eEf7tDnPrdFjzzyTT333HclSb5f1bZtT+i66+7WjTd+Xy+99AP953/+mSTpiit+S11dx+imm87RzTdfrdWrz5FtN8d7nYmEdOWVlA8gDBQQAAjBGWewkw6i59FHv6W77vp9XX/9vWpv75u9/v77b9Z55/1PSVJbW69OOukqvfDC/ZKkrq6VOv30n5frJpVMZrVx49u0adPDkqREIq13vvNL+vjHH9dHPnKfcrkeDQ2dGPr3tVDptPQzPyMNDZlOAsQDBQQAQrJhg/TmN9emeQCm/fCH39Ydd3xC119/r7q6lh/0sb6+1+mZZ/5NUm0NyI9/fJ+Ghk6SJJ199rv17LN3KwgCeV5Vzz57t1asqE3PKhYnVS4XJEkjI5v0ve/9uS677KMhflcL19Ym/Y//IfX1zX1bAPXBNrwAELK9e6V77onEAe6Igdtv/3U99dSdmpjYo1yuR+l0u37/91/Q+9+fVEfHMuVyPZICSZY+/OHvKpfr0rZtT+pv//YDKpenVa2Wdeqpb53dTjcIAn3nOx/T00/fKdt2tXbtRXrnO78sx3G1bduTuvXWa+Q4Cdm2q6uv/rROO+2tRr//oxkclN70JikbjR2zgdiggACAAYWCdO+90q5dppMA8XTCCdL553O6OWACBQQADPF96aGHpGeeMZ0EiA/bli68kG12AZMoIABg2AsvSN//fu0IEQCNk81Kl10m9febTgLEGwUEACJg717p7rul6WnTSYDWNDBQ2wSC9R6AeRQQAIiIQqG2OH33btNJgNayYYN0wQWs9wCiggICABHCuhCgfmy7Vjw2bDCdBMCrUUAAIIJ+/GPpwQelatV0EqA55XK1LXYHBkwnAfBaFBAAiKjxcem++6ThYdNJgOaydm1tp6tk0nQSAIdDAQGACAsC6fHHpcceq03PAnBkqZR00UXSmjWmkwA4GgoIADSBkRHpP/5DGhsznQSIpmOOkd7wBna5ApoBBQQAmoTnSY88Ij39tOkkQHS4rnTeeSw0B5oJBQQAmszOndL990tTU6aTAGYNDEiXXCLl86aTAFgICggANKFyubZL1k9+YjoJED7bls48Uzr1VMmyTKcBsFAUEABoYps2SQ88UDvEEIiD7u7aqEdPj+kkABaLAgIATa5cln70o9rhheyUhVaVTNZGPU48kVEPoNlRQACgRezfX5uWtXOn6SRA/ViWdNxx0tlnS+m06TQA6oECAgAt5uWXpYcfZpE6ml9/v3TBBVJfn+kkAOqJAgIALahalZ54Qnryydr2vUAzyWSkc86R1q83nQRAI1BAAKCFTUxIDz0kbdliOgkwN9uurfE444zamg8ArYkCAgAxsG2b9IMfSOPjppMAhzc0VJtu1dVlOgmARqOAAEBM+L70wgvS449Lk5Om0wA1/f21EY9jjjGdBEBYKCAAEDMUEURBf39tW90VK0wnARA2CggAxBRFBCYMDNRGPCgeQHxRQAAg5igiCMPgoHT66RQPABQQAMBP+b70k5/UisjEhOk0aBWDg7URj+XLTScBEBUUEADAQQ4UkaeekkZHTadBsxoakjZupHgAOBQFBABwRLt3S88+Wztd3fdNp0HUuW7t8MATT2Q7XQBHRgEBAMypUJCef1567jlpasp0GkRNPl8rHccdxwGCAOZGAQEAzFsQSFu31kZFtm0znQYm2bZ07LHS8cfXFpZblulEAJoFBQQAsCgTE7Ui8sILUrFoOg3Cks/XSsf69VI2azoNgGZEAQEALInnSZs21daJbNtW+2+0llRKWrVKWruWReUAlo4CAgCom0pF2rKFMtIK0ula6VizprajlW2bTgSgVVBAAAANUanU1oscKCPVqulEmAulA0AYKCAAgIajjERXJiOtXl27DA2xmBxA41FAAAChqlal7dulnTtrFw47DJdtS/390rJltfUcy5ZROgCEiwICADCqWHyljOzcKY2NmU7UWmxb6u2tjW4MDUmDg7UDAwHAFAoIACBSZmYOLiQTE6YTNRfLOrRwJBKmUwHAKyggAIBIm5qSdu+WRkakfftqf5ZKplNFg2XVzuXo6ZG6u2vFY3CQ08gBRBsFBADQdKamXikk+/fXLuPjku+bTtY46XStZBy49PRIXV1MpwLQfCggAICW4Pu1EnKgkExNSdPTr1zKZdMJ55ZOS7ncK5d8/pWywanjAFoFBQQAEAvV6sGF5LWXUql2G8975c+lcl3JcV75M5M5uGC89sK5GwDigAICAMARVKuHlpID1/n+weXCdQ8tHACAQ1FAAAAAAISGwV4AAAAAoaGAAAAAAAgNBQQAAABAaCggAAAAAEJDAQEAAAAQGgoIAAAAgNBQQAAAAACEhgICAAAAIDQUEAAAAAChoYAAAAAACA0FBAAAAEBoKCAAAAAAQkMBAQAAABAaCggAAACA0FBAAAAAAISGAgIAAAAgNBQQAAAAAKGhgAAAWkp7e7vy+bzy+bxSqZRc11U+n5+9/sEHH9SnP/1pXXTRRYd87m233aZjjjnmsPd14NLe3i7btvWrv/qrs7ezbVvZbPagr/PMM8/Mfvz3fu/3tHbtWnV2dqq/v19XXnmlnnzyydmPF4tFXXPNNVq/fr0cx9EnP/nJBv10AMA8CggAoKVMTk5qYmJCExMT+tjHPqbXv/71mpiYmL3+ggsukCRZlnXYz3/19a++rwOX3/7t31ZPT49+67d+66DPu/POOw/6OieeeOLsx971rnfpRz/6kcbGxrRz5069+c1v1uWXX64gCGa/5gUXXKBbb71V55xzTr1/JAAQKa7pAAAANItvf/vb+sxnPqO7775br3vd6w762IEycTjr1q2b/bvnebJtW3v37tXo6Kh6enqUSqV03XXXSZJSqVRjwgNARDACAgDATx2tRDzyyCP6pV/6Jd1666268MILD/n4tddeq76+Pp155pn62te+dsjH77rrLnV1dSmTyeijH/2obrjhBvX09NQ1PwA0A0ZAAACx9NBDD6m7u/ug60ql0mFLwZYtW/SzP/uzuvHGG/We97znkI9/97vf1fnnny/HcXTPPffoPe95jzzP0/ve977Z21x11VXav3+/xsbGdNttt2nFihX1/6YAoAkwAgIAiKXzzjtPo6OjB11uueWWQ243OTmpq6++Wm984xv1qU996rD3dckll8wueL/yyit1/fXX6xvf+MZhb9vZ2akPfehD+pVf+RU99dRT9fyWAKApUEAAADgC3/d1zTXXqLOzU3/1V3+1oM892nQuz/NUqVT0k5/8ZIkJAaD5UEAAADiCD33oQ3rxxRf1j//4j3Ldw89afvzxx/XYY4+pUqnI8zzdfffd+vKXv6x3v/vds7f5yle+ouHhYUnS3r179f73v1+pVGp2Ry5JKpfLKhaL8n1fnuepVCqpUqk09hsEAAMoIAAAHMb27dt1yy23aNu2bVq9evUhZ4GcfPLJkqQdO3bo2muvVU9Pj/r6+vSbv/mbuummm/SBD3xg9r7uuecenXrqqWpvb9dpp52m4eFh3XvvvRoYGJi9zXHHHadcLqcHHnhAN910k7LZrC6//PLQv28AaDQrONoYMQAAAADUESMgAAAAAEJDAQEAAAAQGgoIAAAAgNBQQAAAAACEhgICAAAAIDQUEAAAAAChoYAAAAAACA0FBAAAAEBoKCAAAAAAQkMBAQAAABAaCggAAACA0FBAAAAAAISGAgIAAAAgNBQQAAAAAKGhgAAAAAAIDQUEAAAAQGgoIAAAAABCQwEBAAAAEBoKCAAAAIDQUEAAAAAAhIYCAgAAACA0FBAAAAAAoaGAAAAAAAgNBQQAAABAaCggAAAAAEJDAQEAAAAQGgoIAAAAgNBQQAAAAACEhgICAAAAIDT/P3NK7jjnJ+F1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_venn.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Between replicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "source /data/reddylab/software/miniconda2/bin/activate alex\n",
    "export PYTHONPATH=\"/data/reddylab/projects/GGR/analyses/group_general/top_level_scripts/GGR:${PYTHONPATH}\"\n",
    "for factor in DMSO Gefit THZ531 ;\n",
    "do\n",
    "    python /data/reddylab/Alex/collab/20180214_JoshBlack/scripts/plot_overlap_as_venn_diagram.py \\\n",
    "        -i \\\n",
    "            /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.${factor}.rep1.masked.dedup.sorted_peaks.narrowPeak \\\n",
    "            /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.${factor}.rep2.masked.dedup.sorted_peaks.narrowPeak \\\n",
    "            /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.${factor}.rep3.masked.dedup.sorted_peaks.narrowPeak \\\n",
    "        --names ${factor}_rep1 ${factor}_rep2 ${factor}_rep3 \\\n",
    "        --bed \\\n",
    "        --overlap 0.5 \\\n",
    "        -o \\\n",
    "            /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_${factor}_venn.png \\\n",
    "            /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_${factor}_venn.pdf\n",
    "done        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "factor = 'DMSO'\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_%s_venn.png\" % factor))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "factor = 'Gefit'\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_%s_venn.png\" % factor))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "factor = 'THZ531'\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_%s_venn.png\" % factor))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Peak overlaps between conditions in all replicates (this takes the peaks present in all replicates and computing overlaps there)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "source /data/reddylab/software/miniconda2/bin/activate alex\n",
    "\n",
    "cd /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/\n",
    "for factor in DMSO Gefit THZ531;\n",
    "do\n",
    "    bedtools intersect \\\n",
    "        -u \\\n",
    "        -a <(bedtools intersect \\\n",
    "            -r \\\n",
    "            -u \\\n",
    "            -f 0.5 \\\n",
    "            -a CAL51.H3K27Ac.${factor}.rep1.masked.dedup.sorted_peaks.narrowPeak \\\n",
    "            -b CAL51.H3K27Ac.${factor}.rep2.masked.dedup.sorted_peaks.narrowPeak) \\\n",
    "        -b CAL51.H3K27Ac.${factor}.rep3.masked.dedup.sorted_peaks.narrowPeak \\\n",
    "    > CAL51.H3K27Ac.${factor}.peaks_in_all_reps.bed\n",
    "done  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "source /data/reddylab/software/miniconda2/bin/activate alex\n",
    "export PYTHONPATH=\"/data/reddylab/projects/GGR/analyses/group_general/top_level_scripts/GGR:${PYTHONPATH}\"\n",
    "python /data/reddylab/Alex/collab/20180214_JoshBlack/scripts/plot_overlap_as_venn_diagram.py \\\n",
    "    -i \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.DMSO.peaks_in_all_reps.bed \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.Gefit.peaks_in_all_reps.bed \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.THZ531.peaks_in_all_reps.bed \\\n",
    "    --names DMSO Gefit THZ531 \\\n",
    "    --bed \\\n",
    "    -o \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_in_all_reps_venn.png \\\n",
    "        /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_in_all_reps_venn.pdf\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Venn diagram of peaks in all reps "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac_peaks_in_all_reps_venn.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Find differentially bound regions\n",
    "\n",
    "In a similar fashion that a DGE analysis, with ChIP-seq'ed samples one can ask, which are the most differentially bound regions between 2 given conditions?\n",
    "\n",
    "In this analysis, we will investigate:\n",
    "    - DMSO vs Gefit\n",
    "    - DMSO vs THZ531\n",
    "    - DMSO vs GT\n",
    "    - DMSO vs Vorino (\"positive\" control - HDAC inhibitor)\n",
    "    - THZ531 vs GT\n",
    "    - Gefit vs GT\n",
    "    - Gefit vs THZ531\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/metadata/H3K27Ac_diff_bind_sample_sheet.csv\n"
     ]
    }
   ],
   "source": [
    "%%writefile /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/metadata/H3K27Ac_diff_bind_sample_sheet.csv\n",
    "SampleID,Tissue,Factor,Condition,Replicate,bamReads,bamControl,Peaks,PeakCaller\n",
    "CAL51_H3K27Ac_DMSO.rep1,CAL51,H3K27Ac,DMSO,1,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.DMSO.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.DMSO.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.DMSO.rep1.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_DMSO.rep2,CAL51,H3K27Ac,DMSO,2,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.DMSO.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.DMSO.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.DMSO.rep2.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_DMSO.rep3,CAL51,H3K27Ac,DMSO,3,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.DMSO.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.DMSO.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.DMSO.rep3.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_Gefit.rep1,CAL51,H3K27Ac,Gefit,1,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.Gefit.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.Gefit.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.Gefit.rep1.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_Gefit.rep3,CAL51,H3K27Ac,Gefit,2,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.Gefit.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.Gefit.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.Gefit.rep2.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_Gefit.rep3,CAL51,H3K27Ac,Gefit,3,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.Gefit.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.Gefit.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.Gefit.rep3.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_THZ531.rep1,CAL51,H3K27Ac,THZ531,1,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.THZ531.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.THZ531.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.THZ531.rep1.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_THZ531.rep2,CAL51,H3K27Ac,THZ531,2,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.THZ531.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.THZ531.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.THZ531.rep2.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_THZ531.rep3,CAL51,H3K27Ac,THZ531,3,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.THZ531.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.THZ531.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.THZ531.rep3.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_GT.rep1,CAL51,H3K27Ac,GT,1,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.GT.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.GT.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.GT.rep1.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_GT.rep2,CAL51,H3K27Ac,GT,2,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.GT.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.GT.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.GT.rep2.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_GT.rep3,CAL51,H3K27Ac,GT,3,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.GT.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.GT.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.GT.rep3.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_Vorino.rep1,CAL51,H3K27Ac,Vorino,1,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.Vorino.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.Vorino.rep1.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.Vorino.rep1.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_Vorino.rep2,CAL51,H3K27Ac,Vorino,2,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.Vorino.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.Vorino.rep2.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.Vorino.rep2.masked.dedup.sorted_peaks.narrowPeak,narrow\n",
    "CAL51_H3K27Ac_Vorino.rep3,CAL51,H3K27Ac,Vorino,3,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.H3K27Ac.Vorino.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/mapped_reads/CAL51.ctrl.Vorino.rep3.masked.dedup.sorted.bam,/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/peaks/CAL51.H3K27Ac.Vorino.rep3.masked.dedup.sorted_peaks.narrowPeak,narrow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis.R\n"
     ]
    }
   ],
   "source": [
    "%%writefile /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis.R\n",
    "#!/bin/env/R\n",
    "library(DiffBind)\n",
    "DBA <- dba(sampleSheet='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/metadata/H3K27Ac_diff_bind_sample_sheet.csv')\n",
    "DBA$config$yieldSize <- 50000\n",
    "DBA <- dba.count(DBA)\n",
    "DBA <- dba.contrast(DBA, categories=c(DBA_CONDITION))\n",
    "DBA <- dba.analyze(DBA, method=DBA_DESEQ2, bParallel=FALSE)\n",
    "dba.save(DBA, file='DBA', dir='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/', pre='dba_', ext='RData', bMinimize=FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis.slurm\n"
     ]
    }
   ],
   "source": [
    "%%writefile /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis.slurm\n",
    "#!/bin/bash\n",
    "--output=/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs/H3K27Ac_diffbind.out\n",
    "source /data/reddylab/software/miniconda2/bin/activate r_conda\n",
    "Rscript /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis.R"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%script --out dba_1 bash\n",
    "sbatch -pnew,all --mem=32000 /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis.slurm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'dba_1' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m\u001b[0m",
      "\u001b[0;31mNameError\u001b[0mTraceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-c73453cc4c4e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mblocking_job\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Submitted batch job (\\d+).*'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdba_1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'dba_1' is not defined"
     ]
    }
   ],
   "source": [
    "import re\n",
    "blocking_job = re.match('Submitted batch job (\\d+).*', dba_1).group(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Retrieve counts from DiffBind with consensus peak dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_extract_counts.R\n"
     ]
    }
   ],
   "source": [
    "%%writefile /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_extract_counts.R\n",
    "#!/bin/env/R\n",
    "library(DiffBind)\n",
    "DBA <- dba.load(file='DBA', dir='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/', pre='dba_', ext='RData')\n",
    "DBA$config$yieldSize <- 50000\n",
    "\n",
    "myDBA <- dba.count(DBA, peaks=NULL, score=DBA_SCORE_READS)\n",
    "dba.peakset(myDBA,\n",
    "           bRetrieve=TRUE,\n",
    "           DataType=DBA_DATA_FRAME,\n",
    "           writeFile='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/H3K27Ac_counts.df.txt')\n",
    "\n",
    "dba.peakset(myDBA,\n",
    "          bRetrieve=TRUE,\n",
    "          writeFile='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/H3K27Ac_counts.genomic_ranges.txt')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%script --out dba_2 bash -s \"$blocking_job\"\n",
    "source /data/reddylab/software/miniconda2/bin/activate r_conda\n",
    "sbatch -pnew,all \\\n",
    "    --mem=32000 \\\n",
    "    --output=/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs/H3K27Ac_diffbind_consensus_peakset_counts.df.out \\\n",
    "    <<'EOF'\n",
    "#!/bin/bash\n",
    "Rscript /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_extract_counts.R\n",
    "\n",
    "EOF\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3087303'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blocking_job"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "import re\n",
    "blocking_job = re.match('Submitted batch job (\\d+).*', dba_2).group(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Do DiffBind analysis reverse direction so that DMSO is at the denominator. \n",
    "- negative logFC means decreased peak intensity (i.e. counts)\n",
    "- positive logFC means increased peak intensity (i.e. counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis_2.R\n"
     ]
    }
   ],
   "source": [
    "%%writefile /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis_2.R\n",
    "#!/bin/env/R\n",
    "library(DiffBind)\n",
    "DBA <- dba.load(file='DBA', dir='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/', pre='dba_', ext='RData')\n",
    "DBA$contrasts=NULL\n",
    "DMSO_mask <- dba.mask(DBA, DBA_CONDITION, 'DMSO')\n",
    "Gefit_mask <- dba.mask(DBA, DBA_CONDITION, 'Gefit')\n",
    "THZ531_mask <- dba.mask(DBA, DBA_CONDITION, 'THZ531')\n",
    "GT_mask <- dba.mask(DBA, DBA_CONDITION, 'GT')\n",
    "Vorino_mask <- dba.mask(DBA, DBA_CONDITION, 'Vorino')\n",
    "\n",
    "# FLAG\n",
    "DBA <- dba.contrast(DBA, group1=Gefit_mask, name1='Gefit', group2=DMSO_mask, name2='DMSO')\n",
    "DBA <- dba.contrast(DBA, group1=THZ531_mask, name1='THZ531', group2=DMSO_mask, name2='DMSO')\n",
    "DBA <- dba.contrast(DBA, group1=GT_mask, name1='GT', group2=DMSO_mask, name2='DMSO')\n",
    "DBA <- dba.contrast(DBA, group1=Vorino_mask, name1='Vorino', group2=DMSO_mask, name2='DMSO')\n",
    "DBA <- dba.contrast(DBA, group1=GT_mask, name1='GT', group2=THZ531_mask, name2='THZ531')\n",
    "DBA <- dba.contrast(DBA, group1=GT_mask, name1='GT', group2=Gefit_mask, name2='Gefit')\n",
    "DBA <- dba.contrast(DBA, group1=THZ531_mask, name1='THZ531', group2=Gefit_mask, name2='Gefit')\n",
    "\n",
    "DBA <- dba.analyze(DBA, method=DBA_DESEQ2, bParallel=FALSE)\n",
    "dba.save(DBA, file='DBA_H3K27Ac_analyzed', dir='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/', pre='dba_', ext='RData', bMinimize=FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%script --out dba_2 bash -s \"$blocking_job\"\n",
    "sbatch -pnew,all \\\n",
    "    --mem 32000 \\\n",
    "    --output=/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs/H3K27Ac_diffbind_2.out \\\n",
    "    --wrap=\"source /data/reddylab/software/miniconda2/bin/activate r_conda; Rscript /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis_2.R\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "import re\n",
    "blocking_job = re.match('Submitted batch job (\\d+).*', dba_2).group(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis_3.R\n"
     ]
    }
   ],
   "source": [
    "%%writefile /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis_3.R\n",
    "#!/bin/env/R\n",
    "library(GenomicRanges)\n",
    "library(Homo.sapiens)\n",
    "library(DiffBind)\n",
    "library(liftOver)\n",
    "library(rtracklayer)\n",
    "\n",
    "geneRanges <- \n",
    "    function(db, column=\"ENTREZID\")\n",
    "{\n",
    "    g <- genes(db, columns=column)\n",
    "    col <- mcols(g)[[column]]\n",
    "    genes <- granges(g)[rep(seq_along(g), elementNROWS(col))]\n",
    "    mcols(genes)[[column]] <- as.character(unlist(col))\n",
    "    genes\n",
    "}\n",
    "\n",
    "splitColumnByOverlap <-\n",
    "    function(query, subject, column=\"ENTREZID\", ...)\n",
    "{\n",
    "    olaps <- findOverlaps(query, subject, ...)\n",
    "    f1 <- factor(subjectHits(olaps),\n",
    "                 levels=seq_len(subjectLength(olaps)))\n",
    "    splitAsList(mcols(query)[[column]][queryHits(olaps)], f1)\n",
    "}\n",
    "\n",
    "# LiftOver to hg38\n",
    "chain <- import.chain(\"/data/reddylab/Reference_Data/Genomes/hg19/hg19ToHg38.over.chain\")\n",
    "gns = geneRanges(Homo.sapiens, column=\"SYMBOL\")\n",
    "gns = unlist(liftOver(gns, chain))\n",
    "\n",
    "(DBA <- dba.load(file='DBA_H3K27Ac_analyzed', dir='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/', pre='dba_', ext='RData'))\n",
    "\n",
    "generate_db_report <- \n",
    "    function(n, d, gns, th=0.1, ...){\n",
    "        db_report <- dba.report(d, n, th=1, bUsePval=FALSE)\n",
    "        db_report$SYMBOL <- splitColumnByOverlap(gns, db_report, \"SYMBOL\")\n",
    "#         db_report$log2Fold <- log2(abs(db_report$Fold))\n",
    "#         db_report$log2Fold[db_report$Fold <0] <- db_report$log2Fold[db_report$Fold <0]*-1\n",
    "        treat_vs_contr <- paste0(d$contrast[[n]]$name1, '_', d$contrast[[n]]$name2)\n",
    "        \n",
    "        # Save results in tab-delimited file\n",
    "        write.table(as.data.frame(db_report), \n",
    "            file=paste0('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/', treat_vs_contr, '.H3K27Ac.diffBind.txt'),\n",
    "            quote = FALSE, row.names=FALSE, sep = \"\\t\")\n",
    "        treat_vs_contr\n",
    "        \n",
    "        # Create MA plot\n",
    "        pdf(paste0('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/', treat_vs_contr, '.H3K27Ac.diffBind_MA.pdf'))\n",
    "        dba.plotMA(DBA, contrast=n, bNormalized=FALSE, th=th)\n",
    "        dev.off()\n",
    "\n",
    "        # Plot correlation heatmap\n",
    "        pdf(paste0('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/', treat_vs_contr, '.H3K27Ac.diffBind_corr.pdf'))\n",
    "        dba.plotHeatmap(DBA, contrast=n, bNormalized=FALSE, th=th)\n",
    "        dev.off()\n",
    "        \n",
    "    }\n",
    "\n",
    "# plot correlation heatmap\n",
    "pdf(paste0('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac.diffBind_corr.pdf'))\n",
    "plot(DBA)\n",
    "dev.off()\n",
    "\n",
    "    \n",
    "dd <- lapply(seq(1,  length(DBA$contrasts)), generate_db_report, DBA, gns, 0.2)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%script --out dba_3 bash -s \"$blocking_job\"\n",
    "sbatch -pnew,all \\\n",
    "    --mem 16000 \\\n",
    "    --output=/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs/H3K27Ac_diffbind_3.out \\\n",
    "    --wrap=\"source /data/reddylab/software/miniconda2/bin/activate r_conda; Rscript /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/H3K27Ac_diff_bind_analysis_3.R\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Differential binding analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Display all MA plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Gefit_DMSO.H3K27Ac.diffBind_MA.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe12836b350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_DMSO.H3K27Ac.diffBind_MA.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe12f763690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_DMSO.H3K27Ac.diffBind_MA.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe12f763690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Vorino_DMSO.H3K27Ac.diffBind_MA.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe12f763690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_THZ531.H3K27Ac.diffBind_MA.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe12f763690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_Gefit.H3K27Ac.diffBind_MA.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe12f763690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"600\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_Gefit.H3K27Ac.diffBind_MA.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe12f763690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import IFrame, display\n",
    "comparisons = [\n",
    "    \"Gefit_DMSO\",\n",
    "    \"THZ531_DMSO\",\n",
    "    \"GT_DMSO\",\n",
    "    \"Vorino_DMSO\",\n",
    "    \"GT_THZ531\",\n",
    "    \"GT_Gefit\",\n",
    "    \"THZ531_Gefit\"\n",
    "]\n",
    "for c in comparisons:\n",
    "    display(IFrame(\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/%s.H3K27Ac.diffBind_MA.pdf\" % c, \n",
    "                   width=800, height=600))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"1000\"\n",
       "            height=\"1000\"\n",
       "            src=\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac.diffBind_corr.pdf\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe128353f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import IFrame, display\n",
    "display(IFrame(\"../chiprep/processing/chip_seq/analysis/results/chip_seq/plots/H3K27Ac.diffBind_corr.pdf\", \n",
    "                   width=1000, height=1000))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### DMSO vs THZ531"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load ImageMagick\n",
    "convert /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_DMSO.H3K27Ac.diffBind_MA.pdf /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_DMSO.H3K27Ac.diffBind_MA.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_DMSO.H3K27Ac.diffBind_MA.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqnames</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>width</th>\n",
       "      <th>strand</th>\n",
       "      <th>Conc</th>\n",
       "      <th>Conc_THZ531</th>\n",
       "      <th>Conc_DMSO</th>\n",
       "      <th>Fold</th>\n",
       "      <th>p.value</th>\n",
       "      <th>FDR</th>\n",
       "      <th>SYMBOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr6</td>\n",
       "      <td>70282115.0</td>\n",
       "      <td>70283433.0</td>\n",
       "      <td>1319.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.40</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>5.38</td>\n",
       "      <td>-5.93</td>\n",
       "      <td>5.990000e-10</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>COL9A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr10</td>\n",
       "      <td>32150901.0</td>\n",
       "      <td>32152213.0</td>\n",
       "      <td>1313.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.83</td>\n",
       "      <td>5.77</td>\n",
       "      <td>1.05</td>\n",
       "      <td>4.72</td>\n",
       "      <td>2.880000e-09</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr17</td>\n",
       "      <td>63787578.0</td>\n",
       "      <td>63788766.0</td>\n",
       "      <td>1189.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.35</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0.23</td>\n",
       "      <td>5.08</td>\n",
       "      <td>3.560000e-09</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>DDX42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr1</td>\n",
       "      <td>21194669.0</td>\n",
       "      <td>21195354.0</td>\n",
       "      <td>686.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.85</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>4.97</td>\n",
       "      <td>8.350000e-09</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr12</td>\n",
       "      <td>56442117.0</td>\n",
       "      <td>56443222.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.21</td>\n",
       "      <td>6.14</td>\n",
       "      <td>1.65</td>\n",
       "      <td>4.49</td>\n",
       "      <td>1.160000e-08</td>\n",
       "      <td>0.000134</td>\n",
       "      <td>TIMELESS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr1</td>\n",
       "      <td>186349642.0</td>\n",
       "      <td>186350219.0</td>\n",
       "      <td>578.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.49</td>\n",
       "      <td>4.44</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>4.79</td>\n",
       "      <td>1.820000e-08</td>\n",
       "      <td>0.000175</td>\n",
       "      <td>c(\"MIR548F1\", \"TPR\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chr18</td>\n",
       "      <td>62624571.0</td>\n",
       "      <td>62625107.0</td>\n",
       "      <td>537.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.99</td>\n",
       "      <td>0.45</td>\n",
       "      <td>4.53</td>\n",
       "      <td>3.150000e-08</td>\n",
       "      <td>0.000259</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chr4</td>\n",
       "      <td>151637687.0</td>\n",
       "      <td>151638643.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.25</td>\n",
       "      <td>5.18</td>\n",
       "      <td>0.86</td>\n",
       "      <td>4.32</td>\n",
       "      <td>5.400000e-08</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>FAM160A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chr2</td>\n",
       "      <td>43898857.0</td>\n",
       "      <td>43899240.0</td>\n",
       "      <td>384.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.04</td>\n",
       "      <td>3.99</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.62</td>\n",
       "      <td>7.470000e-08</td>\n",
       "      <td>0.000477</td>\n",
       "      <td>LRPPRC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chr20</td>\n",
       "      <td>63210105.0</td>\n",
       "      <td>63210635.0</td>\n",
       "      <td>531.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.03</td>\n",
       "      <td>3.97</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.61</td>\n",
       "      <td>9.040000e-08</td>\n",
       "      <td>0.000509</td>\n",
       "      <td>YTHDF1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>chr8</td>\n",
       "      <td>145054024.0</td>\n",
       "      <td>145054401.0</td>\n",
       "      <td>378.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.22</td>\n",
       "      <td>4.16</td>\n",
       "      <td>-0.29</td>\n",
       "      <td>4.44</td>\n",
       "      <td>9.730000e-08</td>\n",
       "      <td>0.000509</td>\n",
       "      <td>C8orf33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>chr19</td>\n",
       "      <td>23491770.0</td>\n",
       "      <td>23492763.0</td>\n",
       "      <td>994.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.87</td>\n",
       "      <td>4.79</td>\n",
       "      <td>0.63</td>\n",
       "      <td>4.16</td>\n",
       "      <td>1.270000e-07</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>chr3</td>\n",
       "      <td>71049836.0</td>\n",
       "      <td>71050208.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.90</td>\n",
       "      <td>3.84</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.47</td>\n",
       "      <td>1.820000e-07</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>FOXP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>chr10</td>\n",
       "      <td>110857126.0</td>\n",
       "      <td>110857664.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.56</td>\n",
       "      <td>5.48</td>\n",
       "      <td>1.43</td>\n",
       "      <td>4.05</td>\n",
       "      <td>1.900000e-07</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136609883.0</td>\n",
       "      <td>136610828.0</td>\n",
       "      <td>946.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.48</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>4.44</td>\n",
       "      <td>-5.29</td>\n",
       "      <td>2.000000e-07</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chr16</td>\n",
       "      <td>57198709.0</td>\n",
       "      <td>57199491.0</td>\n",
       "      <td>783.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.32</td>\n",
       "      <td>4.24</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>4.25</td>\n",
       "      <td>2.170000e-07</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>RSPRY1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chr11</td>\n",
       "      <td>3374798.0</td>\n",
       "      <td>3375543.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.46</td>\n",
       "      <td>4.39</td>\n",
       "      <td>0.08</td>\n",
       "      <td>4.31</td>\n",
       "      <td>2.270000e-07</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>ZNF195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chr12</td>\n",
       "      <td>95129742.0</td>\n",
       "      <td>95130037.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.91</td>\n",
       "      <td>3.84</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.48</td>\n",
       "      <td>2.300000e-07</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>FGD6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>chr6</td>\n",
       "      <td>168272761.0</td>\n",
       "      <td>168276394.0</td>\n",
       "      <td>3634.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.33</td>\n",
       "      <td>6.58</td>\n",
       "      <td>9.09</td>\n",
       "      <td>-2.51</td>\n",
       "      <td>2.410000e-07</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>chr1</td>\n",
       "      <td>164767805.0</td>\n",
       "      <td>164768469.0</td>\n",
       "      <td>665.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.42</td>\n",
       "      <td>4.35</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>4.35</td>\n",
       "      <td>2.860000e-07</td>\n",
       "      <td>0.000822</td>\n",
       "      <td>PBX1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>chr21</td>\n",
       "      <td>26128379.0</td>\n",
       "      <td>26128945.0</td>\n",
       "      <td>567.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.84</td>\n",
       "      <td>3.77</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.41</td>\n",
       "      <td>4.050000e-07</td>\n",
       "      <td>0.001110</td>\n",
       "      <td>APP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>chr5</td>\n",
       "      <td>37089109.0</td>\n",
       "      <td>37090137.0</td>\n",
       "      <td>1029.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.52</td>\n",
       "      <td>5.43</td>\n",
       "      <td>1.44</td>\n",
       "      <td>3.99</td>\n",
       "      <td>5.420000e-07</td>\n",
       "      <td>0.001420</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>chr1</td>\n",
       "      <td>27065891.0</td>\n",
       "      <td>27066262.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.05</td>\n",
       "      <td>3.96</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>4.02</td>\n",
       "      <td>5.990000e-07</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>chr5</td>\n",
       "      <td>68746740.0</td>\n",
       "      <td>68747226.0</td>\n",
       "      <td>487.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.96</td>\n",
       "      <td>-1.21</td>\n",
       "      <td>3.92</td>\n",
       "      <td>-5.12</td>\n",
       "      <td>6.400000e-07</td>\n",
       "      <td>0.001530</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>chr4</td>\n",
       "      <td>48619400.0</td>\n",
       "      <td>48619845.0</td>\n",
       "      <td>446.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.71</td>\n",
       "      <td>3.64</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.27</td>\n",
       "      <td>7.380000e-07</td>\n",
       "      <td>0.001640</td>\n",
       "      <td>FRYL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>chr5</td>\n",
       "      <td>55418814.0</td>\n",
       "      <td>55419783.0</td>\n",
       "      <td>970.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.70</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0.70</td>\n",
       "      <td>3.91</td>\n",
       "      <td>7.410000e-07</td>\n",
       "      <td>0.001640</td>\n",
       "      <td>SKIV2L2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>chr16</td>\n",
       "      <td>14638046.0</td>\n",
       "      <td>14638536.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.08</td>\n",
       "      <td>3.99</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>4.00</td>\n",
       "      <td>8.140000e-07</td>\n",
       "      <td>0.001690</td>\n",
       "      <td>BFAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>chr8</td>\n",
       "      <td>38134336.0</td>\n",
       "      <td>38134779.0</td>\n",
       "      <td>444.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.34</td>\n",
       "      <td>4.25</td>\n",
       "      <td>0.34</td>\n",
       "      <td>3.91</td>\n",
       "      <td>8.220000e-07</td>\n",
       "      <td>0.001690</td>\n",
       "      <td>ASH2L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>chr2</td>\n",
       "      <td>58110556.0</td>\n",
       "      <td>58110989.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.92</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>4.04</td>\n",
       "      <td>9.090000e-07</td>\n",
       "      <td>0.001750</td>\n",
       "      <td>VRK2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chr13</td>\n",
       "      <td>61600615.0</td>\n",
       "      <td>61601203.0</td>\n",
       "      <td>589.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.27</td>\n",
       "      <td>4.18</td>\n",
       "      <td>0.23</td>\n",
       "      <td>3.95</td>\n",
       "      <td>9.150000e-07</td>\n",
       "      <td>0.001750</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57791</th>\n",
       "      <td>chr8</td>\n",
       "      <td>144332113.0</td>\n",
       "      <td>144332900.0</td>\n",
       "      <td>788.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.21</td>\n",
       "      <td>3.06</td>\n",
       "      <td>4.84</td>\n",
       "      <td>-1.79</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>c(\"SCRT1\", \"SCRT1\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57792</th>\n",
       "      <td>chr8</td>\n",
       "      <td>144336863.0</td>\n",
       "      <td>144338717.0</td>\n",
       "      <td>1855.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.40</td>\n",
       "      <td>4.15</td>\n",
       "      <td>7.24</td>\n",
       "      <td>-3.09</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57793</th>\n",
       "      <td>chr9</td>\n",
       "      <td>34589465.0</td>\n",
       "      <td>34590339.0</td>\n",
       "      <td>875.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.51</td>\n",
       "      <td>2.98</td>\n",
       "      <td>5.24</td>\n",
       "      <td>-2.25</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>CNTFR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57794</th>\n",
       "      <td>chr9</td>\n",
       "      <td>91948693.0</td>\n",
       "      <td>91950808.0</td>\n",
       "      <td>2116.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.32</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.08</td>\n",
       "      <td>-2.50</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>ROR2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57795</th>\n",
       "      <td>chr9</td>\n",
       "      <td>92808823.0</td>\n",
       "      <td>92809666.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.75</td>\n",
       "      <td>3.04</td>\n",
       "      <td>4.22</td>\n",
       "      <td>-1.18</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>ANKRD19P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57796</th>\n",
       "      <td>chr9</td>\n",
       "      <td>93827576.0</td>\n",
       "      <td>93828239.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.96</td>\n",
       "      <td>3.45</td>\n",
       "      <td>5.68</td>\n",
       "      <td>-2.23</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57797</th>\n",
       "      <td>chr9</td>\n",
       "      <td>113349460.0</td>\n",
       "      <td>113350018.0</td>\n",
       "      <td>559.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.21</td>\n",
       "      <td>3.93</td>\n",
       "      <td>5.87</td>\n",
       "      <td>-1.95</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>BSPRY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57798</th>\n",
       "      <td>chr9</td>\n",
       "      <td>114153717.0</td>\n",
       "      <td>114154571.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.94</td>\n",
       "      <td>3.49</td>\n",
       "      <td>5.64</td>\n",
       "      <td>-2.16</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57799</th>\n",
       "      <td>chr9</td>\n",
       "      <td>121499361.0</td>\n",
       "      <td>121500403.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.48</td>\n",
       "      <td>6.09</td>\n",
       "      <td>-1.61</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>GGTA1P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57800</th>\n",
       "      <td>chr9</td>\n",
       "      <td>124008352.0</td>\n",
       "      <td>124009438.0</td>\n",
       "      <td>1087.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.31</td>\n",
       "      <td>4.31</td>\n",
       "      <td>5.90</td>\n",
       "      <td>-1.59</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57801</th>\n",
       "      <td>chr9</td>\n",
       "      <td>127741669.0</td>\n",
       "      <td>127742101.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.46</td>\n",
       "      <td>2.13</td>\n",
       "      <td>4.14</td>\n",
       "      <td>-2.02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>SH2D3C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57802</th>\n",
       "      <td>chr9</td>\n",
       "      <td>128875619.0</td>\n",
       "      <td>128875992.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.57</td>\n",
       "      <td>1.35</td>\n",
       "      <td>3.22</td>\n",
       "      <td>-1.87</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>KYAT1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57803</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136132820.0</td>\n",
       "      <td>136134004.0</td>\n",
       "      <td>1185.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.79</td>\n",
       "      <td>4.63</td>\n",
       "      <td>6.42</td>\n",
       "      <td>-1.79</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57804</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136512112.0</td>\n",
       "      <td>136513048.0</td>\n",
       "      <td>937.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.01</td>\n",
       "      <td>1.95</td>\n",
       "      <td>4.82</td>\n",
       "      <td>-2.88</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NOTCH1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57805</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136525213.0</td>\n",
       "      <td>136530294.0</td>\n",
       "      <td>5082.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.00</td>\n",
       "      <td>5.64</td>\n",
       "      <td>7.69</td>\n",
       "      <td>-2.05</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NOTCH1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57806</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136565700.0</td>\n",
       "      <td>136569439.0</td>\n",
       "      <td>3740.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.02</td>\n",
       "      <td>6.80</td>\n",
       "      <td>8.67</td>\n",
       "      <td>-1.87</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57807</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136578109.0</td>\n",
       "      <td>136579631.0</td>\n",
       "      <td>1523.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.36</td>\n",
       "      <td>3.71</td>\n",
       "      <td>6.12</td>\n",
       "      <td>-2.41</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57808</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136616447.0</td>\n",
       "      <td>136619003.0</td>\n",
       "      <td>2557.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.48</td>\n",
       "      <td>3.52</td>\n",
       "      <td>6.28</td>\n",
       "      <td>-2.76</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57809</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136628905.0</td>\n",
       "      <td>136630609.0</td>\n",
       "      <td>1705.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.40</td>\n",
       "      <td>2.79</td>\n",
       "      <td>6.27</td>\n",
       "      <td>-3.49</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57810</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136643998.0</td>\n",
       "      <td>136646147.0</td>\n",
       "      <td>2150.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.55</td>\n",
       "      <td>3.85</td>\n",
       "      <td>6.31</td>\n",
       "      <td>-2.46</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57811</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136968087.0</td>\n",
       "      <td>136970707.0</td>\n",
       "      <td>2621.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.19</td>\n",
       "      <td>3.21</td>\n",
       "      <td>6.00</td>\n",
       "      <td>-2.79</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57812</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136975597.0</td>\n",
       "      <td>136979500.0</td>\n",
       "      <td>3904.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.21</td>\n",
       "      <td>5.65</td>\n",
       "      <td>7.94</td>\n",
       "      <td>-2.29</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>PTGDS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57813</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137167565.0</td>\n",
       "      <td>137170658.0</td>\n",
       "      <td>3094.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.50</td>\n",
       "      <td>5.09</td>\n",
       "      <td>8.36</td>\n",
       "      <td>-3.27</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>c(\"MIR3621\", \"GRIN1\", \"LRRC26\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57814</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137236085.0</td>\n",
       "      <td>137238695.0</td>\n",
       "      <td>2611.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.49</td>\n",
       "      <td>4.91</td>\n",
       "      <td>7.22</td>\n",
       "      <td>-2.32</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>SLC34A3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57815</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137452913.0</td>\n",
       "      <td>137455605.0</td>\n",
       "      <td>2693.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.53</td>\n",
       "      <td>5.65</td>\n",
       "      <td>7.08</td>\n",
       "      <td>-1.43</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NSMF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57816</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137604576.0</td>\n",
       "      <td>137605410.0</td>\n",
       "      <td>835.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.21</td>\n",
       "      <td>4.80</td>\n",
       "      <td>6.91</td>\n",
       "      <td>-2.11</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57817</th>\n",
       "      <td>chrX</td>\n",
       "      <td>17375160.0</td>\n",
       "      <td>17376889.0</td>\n",
       "      <td>1730.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.89</td>\n",
       "      <td>4.60</td>\n",
       "      <td>6.56</td>\n",
       "      <td>-1.96</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NHS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57818</th>\n",
       "      <td>chrX</td>\n",
       "      <td>136766945.0</td>\n",
       "      <td>136767928.0</td>\n",
       "      <td>984.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.30</td>\n",
       "      <td>4.18</td>\n",
       "      <td>5.92</td>\n",
       "      <td>-1.74</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>ARHGEF6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57819</th>\n",
       "      <td>chrX</td>\n",
       "      <td>150362650.0</td>\n",
       "      <td>150365889.0</td>\n",
       "      <td>3240.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.76</td>\n",
       "      <td>5.01</td>\n",
       "      <td>7.52</td>\n",
       "      <td>-2.51</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>MAMLD1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57820</th>\n",
       "      <td>chrX</td>\n",
       "      <td>153487138.0</td>\n",
       "      <td>153489516.0</td>\n",
       "      <td>2379.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.67</td>\n",
       "      <td>5.57</td>\n",
       "      <td>7.29</td>\n",
       "      <td>-1.72</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>HAUS7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>57821 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      seqnames        start          end   width strand  Conc  Conc_THZ531  \\\n",
       "0         chr6   70282115.0   70283433.0  1319.0      *  4.40        -0.55   \n",
       "1        chr10   32150901.0   32152213.0  1313.0      *  4.83         5.77   \n",
       "2        chr17   63787578.0   63788766.0  1189.0      *  4.35         5.30   \n",
       "3         chr1   21194669.0   21195354.0   686.0      *  3.90         4.85   \n",
       "4        chr12   56442117.0   56443222.0  1106.0      *  5.21         6.14   \n",
       "5         chr1  186349642.0  186350219.0   578.0      *  3.49         4.44   \n",
       "6        chr18   62624571.0   62625107.0   537.0      *  4.05         4.99   \n",
       "7         chr4  151637687.0  151638643.0   957.0      *  4.25         5.18   \n",
       "8         chr2   43898857.0   43899240.0   384.0      *  3.04         3.99   \n",
       "9        chr20   63210105.0   63210635.0   531.0      *  3.03         3.97   \n",
       "10        chr8  145054024.0  145054401.0   378.0      *  3.22         4.16   \n",
       "11       chr19   23491770.0   23492763.0   994.0      *  3.87         4.79   \n",
       "12        chr3   71049836.0   71050208.0   373.0      *  2.90         3.84   \n",
       "13       chr10  110857126.0  110857664.0   539.0      *  4.56         5.48   \n",
       "14        chr9  136609883.0  136610828.0   946.0      *  3.48        -0.84   \n",
       "15       chr16   57198709.0   57199491.0   783.0      *  3.32         4.24   \n",
       "16       chr11    3374798.0    3375543.0   746.0      *  3.46         4.39   \n",
       "17       chr12   95129742.0   95130037.0   296.0      *  2.91         3.84   \n",
       "18        chr6  168272761.0  168276394.0  3634.0      *  8.33         6.58   \n",
       "19        chr1  164767805.0  164768469.0   665.0      *  3.42         4.35   \n",
       "20       chr21   26128379.0   26128945.0   567.0      *  2.84         3.77   \n",
       "21        chr5   37089109.0   37090137.0  1029.0      *  4.52         5.43   \n",
       "22        chr1   27065891.0   27066262.0   372.0      *  3.05         3.96   \n",
       "23        chr5   68746740.0   68747226.0   487.0      *  2.96        -1.21   \n",
       "24        chr4   48619400.0   48619845.0   446.0      *  2.71         3.64   \n",
       "25        chr5   55418814.0   55419783.0   970.0      *  3.70         4.60   \n",
       "26       chr16   14638046.0   14638536.0   491.0      *  3.08         3.99   \n",
       "27        chr8   38134336.0   38134779.0   444.0      *  3.34         4.25   \n",
       "28        chr2   58110556.0   58110989.0   434.0      *  3.00         3.92   \n",
       "29       chr13   61600615.0   61601203.0   589.0      *  3.27         4.18   \n",
       "...        ...          ...          ...     ...    ...   ...          ...   \n",
       "57791     chr8  144332113.0  144332900.0   788.0      *  4.21         3.06   \n",
       "57792     chr8  144336863.0  144338717.0  1855.0      *  6.40         4.15   \n",
       "57793     chr9   34589465.0   34590339.0   875.0      *  4.51         2.98   \n",
       "57794     chr9   91948693.0   91950808.0  2116.0      *  5.32         3.58   \n",
       "57795     chr9   92808823.0   92809666.0   844.0      *  3.75         3.04   \n",
       "57796     chr9   93827576.0   93828239.0   664.0      *  4.96         3.45   \n",
       "57797     chr9  113349460.0  113350018.0   559.0      *  5.21         3.93   \n",
       "57798     chr9  114153717.0  114154571.0   855.0      *  4.94         3.49   \n",
       "57799     chr9  121499361.0  121500403.0  1043.0      *  5.50         4.48   \n",
       "57800     chr9  124008352.0  124009438.0  1087.0      *  5.31         4.31   \n",
       "57801     chr9  127741669.0  127742101.0   433.0      *  3.46         2.13   \n",
       "57802     chr9  128875619.0  128875992.0   374.0      *  2.57         1.35   \n",
       "57803     chr9  136132820.0  136134004.0  1185.0      *  5.79         4.63   \n",
       "57804     chr9  136512112.0  136513048.0   937.0      *  4.01         1.95   \n",
       "57805     chr9  136525213.0  136530294.0  5082.0      *  7.00         5.64   \n",
       "57806     chr9  136565700.0  136569439.0  3740.0      *  8.02         6.80   \n",
       "57807     chr9  136578109.0  136579631.0  1523.0      *  5.36         3.71   \n",
       "57808     chr9  136616447.0  136619003.0  2557.0      *  5.48         3.52   \n",
       "57809     chr9  136628905.0  136630609.0  1705.0      *  5.40         2.79   \n",
       "57810     chr9  136643998.0  136646147.0  2150.0      *  5.55         3.85   \n",
       "57811     chr9  136968087.0  136970707.0  2621.0      *  5.19         3.21   \n",
       "57812     chr9  136975597.0  136979500.0  3904.0      *  7.21         5.65   \n",
       "57813     chr9  137167565.0  137170658.0  3094.0      *  7.50         5.09   \n",
       "57814     chr9  137236085.0  137238695.0  2611.0      *  6.49         4.91   \n",
       "57815     chr9  137452913.0  137455605.0  2693.0      *  6.53         5.65   \n",
       "57816     chr9  137604576.0  137605410.0   835.0      *  6.21         4.80   \n",
       "57817     chrX   17375160.0   17376889.0  1730.0      *  5.89         4.60   \n",
       "57818     chrX  136766945.0  136767928.0   984.0      *  5.30         4.18   \n",
       "57819     chrX  150362650.0  150365889.0  3240.0      *  6.76         5.01   \n",
       "57820     chrX  153487138.0  153489516.0  2379.0      *  6.67         5.57   \n",
       "\n",
       "       Conc_DMSO  Fold       p.value       FDR  \\\n",
       "0           5.38 -5.93  5.990000e-10  0.000034   \n",
       "1           1.05  4.72  2.880000e-09  0.000068   \n",
       "2           0.23  5.08  3.560000e-09  0.000068   \n",
       "3          -0.12  4.97  8.350000e-09  0.000120   \n",
       "4           1.65  4.49  1.160000e-08  0.000134   \n",
       "5          -0.35  4.79  1.820000e-08  0.000175   \n",
       "6           0.45  4.53  3.150000e-08  0.000259   \n",
       "7           0.86  4.32  5.400000e-08  0.000388   \n",
       "8          -0.63  4.62  7.470000e-08  0.000477   \n",
       "9          -0.63  4.61  9.040000e-08  0.000509   \n",
       "10         -0.29  4.44  9.730000e-08  0.000509   \n",
       "11          0.63  4.16  1.270000e-07  0.000607   \n",
       "12         -0.63  4.47  1.820000e-07  0.000729   \n",
       "13          1.43  4.05  1.900000e-07  0.000729   \n",
       "14          4.44 -5.29  2.000000e-07  0.000729   \n",
       "15         -0.01  4.25  2.170000e-07  0.000729   \n",
       "16          0.08  4.31  2.270000e-07  0.000729   \n",
       "17         -0.63  4.48  2.300000e-07  0.000729   \n",
       "18          9.09 -2.51  2.410000e-07  0.000729   \n",
       "19         -0.01  4.35  2.860000e-07  0.000822   \n",
       "20         -0.63  4.41  4.050000e-07  0.001110   \n",
       "21          1.44  3.99  5.420000e-07  0.001420   \n",
       "22         -0.06  4.02  5.990000e-07  0.001500   \n",
       "23          3.92 -5.12  6.400000e-07  0.001530   \n",
       "24         -0.63  4.27  7.380000e-07  0.001640   \n",
       "25          0.70  3.91  7.410000e-07  0.001640   \n",
       "26         -0.01  4.00  8.140000e-07  0.001690   \n",
       "27          0.34  3.91  8.220000e-07  0.001690   \n",
       "28         -0.12  4.04  9.090000e-07  0.001750   \n",
       "29          0.23  3.95  9.150000e-07  0.001750   \n",
       "...          ...   ...           ...       ...   \n",
       "57791       4.84 -1.79  1.000000e+00  1.000000   \n",
       "57792       7.24 -3.09  1.000000e+00  1.000000   \n",
       "57793       5.24 -2.25  1.000000e+00  1.000000   \n",
       "57794       6.08 -2.50  1.000000e+00  1.000000   \n",
       "57795       4.22 -1.18  1.000000e+00  1.000000   \n",
       "57796       5.68 -2.23  1.000000e+00  1.000000   \n",
       "57797       5.87 -1.95  1.000000e+00  1.000000   \n",
       "57798       5.64 -2.16  1.000000e+00  1.000000   \n",
       "57799       6.09 -1.61  1.000000e+00  1.000000   \n",
       "57800       5.90 -1.59  1.000000e+00  1.000000   \n",
       "57801       4.14 -2.02  1.000000e+00  1.000000   \n",
       "57802       3.22 -1.87  1.000000e+00  1.000000   \n",
       "57803       6.42 -1.79  1.000000e+00  1.000000   \n",
       "57804       4.82 -2.88  1.000000e+00  1.000000   \n",
       "57805       7.69 -2.05  1.000000e+00  1.000000   \n",
       "57806       8.67 -1.87  1.000000e+00  1.000000   \n",
       "57807       6.12 -2.41  1.000000e+00  1.000000   \n",
       "57808       6.28 -2.76  1.000000e+00  1.000000   \n",
       "57809       6.27 -3.49  1.000000e+00  1.000000   \n",
       "57810       6.31 -2.46  1.000000e+00  1.000000   \n",
       "57811       6.00 -2.79  1.000000e+00  1.000000   \n",
       "57812       7.94 -2.29  1.000000e+00  1.000000   \n",
       "57813       8.36 -3.27  1.000000e+00  1.000000   \n",
       "57814       7.22 -2.32  1.000000e+00  1.000000   \n",
       "57815       7.08 -1.43  1.000000e+00  1.000000   \n",
       "57816       6.91 -2.11  1.000000e+00  1.000000   \n",
       "57817       6.56 -1.96  1.000000e+00  1.000000   \n",
       "57818       5.92 -1.74  1.000000e+00  1.000000   \n",
       "57819       7.52 -2.51  1.000000e+00  1.000000   \n",
       "57820       7.29 -1.72  1.000000e+00  1.000000   \n",
       "\n",
       "                                SYMBOL  \n",
       "0                               COL9A1  \n",
       "1                         character(0)  \n",
       "2                                DDX42  \n",
       "3                         character(0)  \n",
       "4                             TIMELESS  \n",
       "5                 c(\"MIR548F1\", \"TPR\")  \n",
       "6                         character(0)  \n",
       "7                             FAM160A1  \n",
       "8                               LRPPRC  \n",
       "9                               YTHDF1  \n",
       "10                             C8orf33  \n",
       "11                        character(0)  \n",
       "12                               FOXP1  \n",
       "13                        character(0)  \n",
       "14                        character(0)  \n",
       "15                              RSPRY1  \n",
       "16                              ZNF195  \n",
       "17                                FGD6  \n",
       "18                        character(0)  \n",
       "19                                PBX1  \n",
       "20                                 APP  \n",
       "21                        character(0)  \n",
       "22                        character(0)  \n",
       "23                        character(0)  \n",
       "24                                FRYL  \n",
       "25                             SKIV2L2  \n",
       "26                                BFAR  \n",
       "27                               ASH2L  \n",
       "28                                VRK2  \n",
       "29                        character(0)  \n",
       "...                                ...  \n",
       "57791              c(\"SCRT1\", \"SCRT1\")  \n",
       "57792                     character(0)  \n",
       "57793                            CNTFR  \n",
       "57794                             ROR2  \n",
       "57795                         ANKRD19P  \n",
       "57796                     character(0)  \n",
       "57797                            BSPRY  \n",
       "57798                     character(0)  \n",
       "57799                           GGTA1P  \n",
       "57800                     character(0)  \n",
       "57801                           SH2D3C  \n",
       "57802                            KYAT1  \n",
       "57803                     character(0)  \n",
       "57804                           NOTCH1  \n",
       "57805                           NOTCH1  \n",
       "57806                     character(0)  \n",
       "57807                     character(0)  \n",
       "57808                     character(0)  \n",
       "57809                     character(0)  \n",
       "57810                     character(0)  \n",
       "57811                     character(0)  \n",
       "57812                            PTGDS  \n",
       "57813  c(\"MIR3621\", \"GRIN1\", \"LRRC26\")  \n",
       "57814                          SLC34A3  \n",
       "57815                             NSMF  \n",
       "57816                     character(0)  \n",
       "57817                              NHS  \n",
       "57818                          ARHGEF6  \n",
       "57819                           MAMLD1  \n",
       "57820                            HAUS7  \n",
       "\n",
       "[57821 rows x 12 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/THZ531_DMSO.H3K27Ac.diffBind.txt', \n",
    "            sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### DMSO vs Gefit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load ImageMagick\n",
    "convert /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Gefit_DMSO.H3K27Ac.diffBind_MA.pdf /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Gefit_DMSO.H3K27Ac.diffBind_MA.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Gefit_DMSO.H3K27Ac.diffBind_MA.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqnames</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>width</th>\n",
       "      <th>strand</th>\n",
       "      <th>Conc</th>\n",
       "      <th>Conc_Gefit</th>\n",
       "      <th>Conc_DMSO</th>\n",
       "      <th>Fold</th>\n",
       "      <th>p.value</th>\n",
       "      <th>FDR</th>\n",
       "      <th>SYMBOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr14</td>\n",
       "      <td>84402349</td>\n",
       "      <td>84405577</td>\n",
       "      <td>3229</td>\n",
       "      <td>*</td>\n",
       "      <td>9.92</td>\n",
       "      <td>9.71</td>\n",
       "      <td>10.10</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>2.360000e-10</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr22</td>\n",
       "      <td>23520811</td>\n",
       "      <td>23522459</td>\n",
       "      <td>1649</td>\n",
       "      <td>*</td>\n",
       "      <td>9.09</td>\n",
       "      <td>8.76</td>\n",
       "      <td>9.35</td>\n",
       "      <td>-0.59</td>\n",
       "      <td>8.950000e-10</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr18</td>\n",
       "      <td>48841289</td>\n",
       "      <td>48843780</td>\n",
       "      <td>2492</td>\n",
       "      <td>*</td>\n",
       "      <td>9.07</td>\n",
       "      <td>8.77</td>\n",
       "      <td>9.32</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>1.630000e-09</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>CTIF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chrX</td>\n",
       "      <td>46324970</td>\n",
       "      <td>46328785</td>\n",
       "      <td>3816</td>\n",
       "      <td>*</td>\n",
       "      <td>10.14</td>\n",
       "      <td>9.96</td>\n",
       "      <td>10.29</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>2.690000e-09</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr20</td>\n",
       "      <td>14984739</td>\n",
       "      <td>14987523</td>\n",
       "      <td>2785</td>\n",
       "      <td>*</td>\n",
       "      <td>9.97</td>\n",
       "      <td>9.79</td>\n",
       "      <td>10.14</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>2.710000e-09</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>MACROD2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr15</td>\n",
       "      <td>35429101</td>\n",
       "      <td>35432348</td>\n",
       "      <td>3248</td>\n",
       "      <td>*</td>\n",
       "      <td>9.58</td>\n",
       "      <td>9.33</td>\n",
       "      <td>9.79</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>2.960000e-09</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>DPH6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chr9</td>\n",
       "      <td>82923095</td>\n",
       "      <td>82925483</td>\n",
       "      <td>2389</td>\n",
       "      <td>*</td>\n",
       "      <td>9.63</td>\n",
       "      <td>9.43</td>\n",
       "      <td>9.81</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>4.720000e-09</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chr1</td>\n",
       "      <td>98103463</td>\n",
       "      <td>98106103</td>\n",
       "      <td>2641</td>\n",
       "      <td>*</td>\n",
       "      <td>7.88</td>\n",
       "      <td>7.48</td>\n",
       "      <td>8.19</td>\n",
       "      <td>-0.71</td>\n",
       "      <td>5.280000e-09</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chr12</td>\n",
       "      <td>89315912</td>\n",
       "      <td>89317426</td>\n",
       "      <td>1515</td>\n",
       "      <td>*</td>\n",
       "      <td>8.59</td>\n",
       "      <td>8.25</td>\n",
       "      <td>8.86</td>\n",
       "      <td>-0.62</td>\n",
       "      <td>1.440000e-08</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chr11</td>\n",
       "      <td>13011433</td>\n",
       "      <td>13014001</td>\n",
       "      <td>2569</td>\n",
       "      <td>*</td>\n",
       "      <td>10.03</td>\n",
       "      <td>9.85</td>\n",
       "      <td>10.18</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>1.440000e-08</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>RASSF10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>chr2</td>\n",
       "      <td>67845469</td>\n",
       "      <td>67846876</td>\n",
       "      <td>1408</td>\n",
       "      <td>*</td>\n",
       "      <td>9.14</td>\n",
       "      <td>8.88</td>\n",
       "      <td>9.36</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>1.950000e-08</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>chr4</td>\n",
       "      <td>120225508</td>\n",
       "      <td>120230243</td>\n",
       "      <td>4736</td>\n",
       "      <td>*</td>\n",
       "      <td>10.04</td>\n",
       "      <td>9.87</td>\n",
       "      <td>10.19</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>2.530000e-08</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>chr3</td>\n",
       "      <td>169240698</td>\n",
       "      <td>169245193</td>\n",
       "      <td>4496</td>\n",
       "      <td>*</td>\n",
       "      <td>9.53</td>\n",
       "      <td>9.28</td>\n",
       "      <td>9.75</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>3.040000e-08</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>MECOM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>chr5</td>\n",
       "      <td>92145589</td>\n",
       "      <td>92148503</td>\n",
       "      <td>2915</td>\n",
       "      <td>*</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.82</td>\n",
       "      <td>10.16</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>3.100000e-08</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chr3</td>\n",
       "      <td>76872551</td>\n",
       "      <td>76874707</td>\n",
       "      <td>2157</td>\n",
       "      <td>*</td>\n",
       "      <td>8.95</td>\n",
       "      <td>8.68</td>\n",
       "      <td>9.18</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>3.190000e-08</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>ROBO2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chr2</td>\n",
       "      <td>128368965</td>\n",
       "      <td>128370302</td>\n",
       "      <td>1338</td>\n",
       "      <td>*</td>\n",
       "      <td>8.86</td>\n",
       "      <td>8.56</td>\n",
       "      <td>9.10</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>3.820000e-08</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chr10</td>\n",
       "      <td>120979438</td>\n",
       "      <td>120982525</td>\n",
       "      <td>3088</td>\n",
       "      <td>*</td>\n",
       "      <td>10.03</td>\n",
       "      <td>9.85</td>\n",
       "      <td>10.20</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>4.270000e-08</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chr1</td>\n",
       "      <td>80532866</td>\n",
       "      <td>80535966</td>\n",
       "      <td>3101</td>\n",
       "      <td>*</td>\n",
       "      <td>9.39</td>\n",
       "      <td>9.15</td>\n",
       "      <td>9.59</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>5.810000e-08</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>chr5</td>\n",
       "      <td>86870896</td>\n",
       "      <td>86873078</td>\n",
       "      <td>2183</td>\n",
       "      <td>*</td>\n",
       "      <td>8.68</td>\n",
       "      <td>8.39</td>\n",
       "      <td>8.93</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>9.260000e-08</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>chr5</td>\n",
       "      <td>123881318</td>\n",
       "      <td>123884125</td>\n",
       "      <td>2808</td>\n",
       "      <td>*</td>\n",
       "      <td>9.19</td>\n",
       "      <td>8.96</td>\n",
       "      <td>9.39</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>9.460000e-08</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>chr18</td>\n",
       "      <td>26334702</td>\n",
       "      <td>26337419</td>\n",
       "      <td>2718</td>\n",
       "      <td>*</td>\n",
       "      <td>10.02</td>\n",
       "      <td>9.85</td>\n",
       "      <td>10.17</td>\n",
       "      <td>-0.32</td>\n",
       "      <td>1.050000e-07</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>TAF4B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>chr11</td>\n",
       "      <td>103405146</td>\n",
       "      <td>103407509</td>\n",
       "      <td>2364</td>\n",
       "      <td>*</td>\n",
       "      <td>9.48</td>\n",
       "      <td>9.28</td>\n",
       "      <td>9.65</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>1.060000e-07</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>DYNC2H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>chr10</td>\n",
       "      <td>106980148</td>\n",
       "      <td>106983107</td>\n",
       "      <td>2960</td>\n",
       "      <td>*</td>\n",
       "      <td>9.66</td>\n",
       "      <td>9.45</td>\n",
       "      <td>9.84</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>1.310000e-07</td>\n",
       "      <td>0.000053</td>\n",
       "      <td>SORCS1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>chr13</td>\n",
       "      <td>57738277</td>\n",
       "      <td>57740343</td>\n",
       "      <td>2067</td>\n",
       "      <td>*</td>\n",
       "      <td>8.56</td>\n",
       "      <td>8.27</td>\n",
       "      <td>8.80</td>\n",
       "      <td>-0.52</td>\n",
       "      <td>1.440000e-07</td>\n",
       "      <td>0.000055</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>chr2</td>\n",
       "      <td>34365449</td>\n",
       "      <td>34366559</td>\n",
       "      <td>1111</td>\n",
       "      <td>*</td>\n",
       "      <td>8.22</td>\n",
       "      <td>7.88</td>\n",
       "      <td>8.50</td>\n",
       "      <td>-0.62</td>\n",
       "      <td>1.560000e-07</td>\n",
       "      <td>0.000057</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>chr4</td>\n",
       "      <td>18930094</td>\n",
       "      <td>18933639</td>\n",
       "      <td>3546</td>\n",
       "      <td>*</td>\n",
       "      <td>10.05</td>\n",
       "      <td>9.89</td>\n",
       "      <td>10.19</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>1.610000e-07</td>\n",
       "      <td>0.000057</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>chr2</td>\n",
       "      <td>187574831</td>\n",
       "      <td>187576549</td>\n",
       "      <td>1719</td>\n",
       "      <td>*</td>\n",
       "      <td>9.64</td>\n",
       "      <td>9.44</td>\n",
       "      <td>9.82</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>2.170000e-07</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>chr10</td>\n",
       "      <td>61992041</td>\n",
       "      <td>61995615</td>\n",
       "      <td>3575</td>\n",
       "      <td>*</td>\n",
       "      <td>8.96</td>\n",
       "      <td>8.70</td>\n",
       "      <td>9.19</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>2.380000e-07</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>ARID5B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>chr2</td>\n",
       "      <td>218359153</td>\n",
       "      <td>218360779</td>\n",
       "      <td>1627</td>\n",
       "      <td>*</td>\n",
       "      <td>8.20</td>\n",
       "      <td>7.85</td>\n",
       "      <td>8.48</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>2.390000e-07</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>CATIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chr2</td>\n",
       "      <td>67894851</td>\n",
       "      <td>67896565</td>\n",
       "      <td>1715</td>\n",
       "      <td>*</td>\n",
       "      <td>9.73</td>\n",
       "      <td>9.56</td>\n",
       "      <td>9.89</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>2.560000e-07</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4923</th>\n",
       "      <td>chr12</td>\n",
       "      <td>85183781</td>\n",
       "      <td>85184420</td>\n",
       "      <td>640</td>\n",
       "      <td>*</td>\n",
       "      <td>5.34</td>\n",
       "      <td>5.09</td>\n",
       "      <td>5.56</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>1.060000e-01</td>\n",
       "      <td>0.198000</td>\n",
       "      <td>LRRIQ1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4924</th>\n",
       "      <td>chr4</td>\n",
       "      <td>38728564</td>\n",
       "      <td>38729078</td>\n",
       "      <td>515</td>\n",
       "      <td>*</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.32</td>\n",
       "      <td>4.98</td>\n",
       "      <td>-0.67</td>\n",
       "      <td>1.060000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4925</th>\n",
       "      <td>chr17</td>\n",
       "      <td>43438492</td>\n",
       "      <td>43439388</td>\n",
       "      <td>897</td>\n",
       "      <td>*</td>\n",
       "      <td>5.20</td>\n",
       "      <td>4.91</td>\n",
       "      <td>5.44</td>\n",
       "      <td>-0.53</td>\n",
       "      <td>1.060000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4926</th>\n",
       "      <td>chr12</td>\n",
       "      <td>24760151</td>\n",
       "      <td>24760625</td>\n",
       "      <td>475</td>\n",
       "      <td>*</td>\n",
       "      <td>4.58</td>\n",
       "      <td>4.25</td>\n",
       "      <td>4.86</td>\n",
       "      <td>-0.61</td>\n",
       "      <td>1.060000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4927</th>\n",
       "      <td>chr1</td>\n",
       "      <td>31154612</td>\n",
       "      <td>31155813</td>\n",
       "      <td>1202</td>\n",
       "      <td>*</td>\n",
       "      <td>6.75</td>\n",
       "      <td>6.32</td>\n",
       "      <td>7.08</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>1.060000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4928</th>\n",
       "      <td>chr1</td>\n",
       "      <td>229218458</td>\n",
       "      <td>229218943</td>\n",
       "      <td>486</td>\n",
       "      <td>*</td>\n",
       "      <td>4.72</td>\n",
       "      <td>4.40</td>\n",
       "      <td>4.98</td>\n",
       "      <td>-0.58</td>\n",
       "      <td>1.060000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4929</th>\n",
       "      <td>chr3</td>\n",
       "      <td>115194377</td>\n",
       "      <td>115195116</td>\n",
       "      <td>740</td>\n",
       "      <td>*</td>\n",
       "      <td>4.94</td>\n",
       "      <td>4.65</td>\n",
       "      <td>5.19</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>1.060000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4930</th>\n",
       "      <td>chr13</td>\n",
       "      <td>89457925</td>\n",
       "      <td>89458388</td>\n",
       "      <td>464</td>\n",
       "      <td>*</td>\n",
       "      <td>4.81</td>\n",
       "      <td>4.40</td>\n",
       "      <td>5.12</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4931</th>\n",
       "      <td>chr3</td>\n",
       "      <td>29512497</td>\n",
       "      <td>29513017</td>\n",
       "      <td>521</td>\n",
       "      <td>*</td>\n",
       "      <td>5.43</td>\n",
       "      <td>5.19</td>\n",
       "      <td>5.64</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>RBMS3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4932</th>\n",
       "      <td>chr13</td>\n",
       "      <td>75621028</td>\n",
       "      <td>75621699</td>\n",
       "      <td>672</td>\n",
       "      <td>*</td>\n",
       "      <td>5.36</td>\n",
       "      <td>5.10</td>\n",
       "      <td>5.57</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>LMO7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4933</th>\n",
       "      <td>chr14</td>\n",
       "      <td>53542531</td>\n",
       "      <td>53543132</td>\n",
       "      <td>602</td>\n",
       "      <td>*</td>\n",
       "      <td>5.26</td>\n",
       "      <td>5.01</td>\n",
       "      <td>5.47</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4934</th>\n",
       "      <td>chr4</td>\n",
       "      <td>65009001</td>\n",
       "      <td>65009526</td>\n",
       "      <td>526</td>\n",
       "      <td>*</td>\n",
       "      <td>5.13</td>\n",
       "      <td>4.84</td>\n",
       "      <td>5.38</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4935</th>\n",
       "      <td>chr6</td>\n",
       "      <td>72251324</td>\n",
       "      <td>72252049</td>\n",
       "      <td>726</td>\n",
       "      <td>*</td>\n",
       "      <td>5.50</td>\n",
       "      <td>5.24</td>\n",
       "      <td>5.71</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>RIMS1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4936</th>\n",
       "      <td>chr15</td>\n",
       "      <td>92904129</td>\n",
       "      <td>92904748</td>\n",
       "      <td>620</td>\n",
       "      <td>*</td>\n",
       "      <td>4.71</td>\n",
       "      <td>4.31</td>\n",
       "      <td>5.01</td>\n",
       "      <td>-0.70</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>c(\"MIR3175\", \"CHD2\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4937</th>\n",
       "      <td>chr3</td>\n",
       "      <td>29536188</td>\n",
       "      <td>29536815</td>\n",
       "      <td>628</td>\n",
       "      <td>*</td>\n",
       "      <td>4.92</td>\n",
       "      <td>4.60</td>\n",
       "      <td>5.18</td>\n",
       "      <td>-0.59</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>RBMS3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4938</th>\n",
       "      <td>chrX</td>\n",
       "      <td>3940150</td>\n",
       "      <td>3940877</td>\n",
       "      <td>728</td>\n",
       "      <td>*</td>\n",
       "      <td>6.01</td>\n",
       "      <td>5.80</td>\n",
       "      <td>6.20</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4939</th>\n",
       "      <td>chr2</td>\n",
       "      <td>117270092</td>\n",
       "      <td>117271175</td>\n",
       "      <td>1084</td>\n",
       "      <td>*</td>\n",
       "      <td>5.73</td>\n",
       "      <td>5.47</td>\n",
       "      <td>5.95</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4940</th>\n",
       "      <td>chr1</td>\n",
       "      <td>77770455</td>\n",
       "      <td>77771133</td>\n",
       "      <td>679</td>\n",
       "      <td>*</td>\n",
       "      <td>5.50</td>\n",
       "      <td>5.24</td>\n",
       "      <td>5.72</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4941</th>\n",
       "      <td>chr7</td>\n",
       "      <td>135174513</td>\n",
       "      <td>135175003</td>\n",
       "      <td>491</td>\n",
       "      <td>*</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.52</td>\n",
       "      <td>5.11</td>\n",
       "      <td>-0.59</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4942</th>\n",
       "      <td>chr11</td>\n",
       "      <td>27215627</td>\n",
       "      <td>27216667</td>\n",
       "      <td>1041</td>\n",
       "      <td>*</td>\n",
       "      <td>7.13</td>\n",
       "      <td>6.99</td>\n",
       "      <td>7.25</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4943</th>\n",
       "      <td>chr6</td>\n",
       "      <td>46948671</td>\n",
       "      <td>46949087</td>\n",
       "      <td>417</td>\n",
       "      <td>*</td>\n",
       "      <td>4.49</td>\n",
       "      <td>4.09</td>\n",
       "      <td>4.80</td>\n",
       "      <td>-0.71</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>ADGRF5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4944</th>\n",
       "      <td>chr17</td>\n",
       "      <td>47230852</td>\n",
       "      <td>47231344</td>\n",
       "      <td>493</td>\n",
       "      <td>*</td>\n",
       "      <td>5.78</td>\n",
       "      <td>5.54</td>\n",
       "      <td>5.99</td>\n",
       "      <td>-0.44</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4945</th>\n",
       "      <td>chr3</td>\n",
       "      <td>103614612</td>\n",
       "      <td>103615104</td>\n",
       "      <td>493</td>\n",
       "      <td>*</td>\n",
       "      <td>4.67</td>\n",
       "      <td>4.35</td>\n",
       "      <td>4.94</td>\n",
       "      <td>-0.59</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4946</th>\n",
       "      <td>chr10</td>\n",
       "      <td>33196622</td>\n",
       "      <td>33197188</td>\n",
       "      <td>567</td>\n",
       "      <td>*</td>\n",
       "      <td>5.17</td>\n",
       "      <td>4.90</td>\n",
       "      <td>5.40</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>NRP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4947</th>\n",
       "      <td>chr1</td>\n",
       "      <td>168863682</td>\n",
       "      <td>168864372</td>\n",
       "      <td>691</td>\n",
       "      <td>*</td>\n",
       "      <td>5.29</td>\n",
       "      <td>5.03</td>\n",
       "      <td>5.50</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4948</th>\n",
       "      <td>chr10</td>\n",
       "      <td>12720349</td>\n",
       "      <td>12720995</td>\n",
       "      <td>647</td>\n",
       "      <td>*</td>\n",
       "      <td>5.95</td>\n",
       "      <td>5.74</td>\n",
       "      <td>6.13</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>CAMK1D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4949</th>\n",
       "      <td>chr11</td>\n",
       "      <td>36638015</td>\n",
       "      <td>36639236</td>\n",
       "      <td>1222</td>\n",
       "      <td>*</td>\n",
       "      <td>6.68</td>\n",
       "      <td>6.52</td>\n",
       "      <td>6.83</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>1.070000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>C11orf74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4950</th>\n",
       "      <td>chr9</td>\n",
       "      <td>129559591</td>\n",
       "      <td>129560191</td>\n",
       "      <td>601</td>\n",
       "      <td>*</td>\n",
       "      <td>4.87</td>\n",
       "      <td>4.22</td>\n",
       "      <td>5.31</td>\n",
       "      <td>-1.09</td>\n",
       "      <td>1.080000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4951</th>\n",
       "      <td>chr6</td>\n",
       "      <td>110358663</td>\n",
       "      <td>110359790</td>\n",
       "      <td>1128</td>\n",
       "      <td>*</td>\n",
       "      <td>6.73</td>\n",
       "      <td>6.55</td>\n",
       "      <td>6.88</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>1.080000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>METTL24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4952</th>\n",
       "      <td>chr5</td>\n",
       "      <td>92039086</td>\n",
       "      <td>92039894</td>\n",
       "      <td>809</td>\n",
       "      <td>*</td>\n",
       "      <td>4.44</td>\n",
       "      <td>4.06</td>\n",
       "      <td>4.74</td>\n",
       "      <td>-0.68</td>\n",
       "      <td>1.080000e-01</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4953 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     seqnames      start        end  width strand   Conc  Conc_Gefit  \\\n",
       "0       chr14   84402349   84405577   3229      *   9.92        9.71   \n",
       "1       chr22   23520811   23522459   1649      *   9.09        8.76   \n",
       "2       chr18   48841289   48843780   2492      *   9.07        8.77   \n",
       "3        chrX   46324970   46328785   3816      *  10.14        9.96   \n",
       "4       chr20   14984739   14987523   2785      *   9.97        9.79   \n",
       "5       chr15   35429101   35432348   3248      *   9.58        9.33   \n",
       "6        chr9   82923095   82925483   2389      *   9.63        9.43   \n",
       "7        chr1   98103463   98106103   2641      *   7.88        7.48   \n",
       "8       chr12   89315912   89317426   1515      *   8.59        8.25   \n",
       "9       chr11   13011433   13014001   2569      *  10.03        9.85   \n",
       "10       chr2   67845469   67846876   1408      *   9.14        8.88   \n",
       "11       chr4  120225508  120230243   4736      *  10.04        9.87   \n",
       "12       chr3  169240698  169245193   4496      *   9.53        9.28   \n",
       "13       chr5   92145589   92148503   2915      *  10.00        9.82   \n",
       "14       chr3   76872551   76874707   2157      *   8.95        8.68   \n",
       "15       chr2  128368965  128370302   1338      *   8.86        8.56   \n",
       "16      chr10  120979438  120982525   3088      *  10.03        9.85   \n",
       "17       chr1   80532866   80535966   3101      *   9.39        9.15   \n",
       "18       chr5   86870896   86873078   2183      *   8.68        8.39   \n",
       "19       chr5  123881318  123884125   2808      *   9.19        8.96   \n",
       "20      chr18   26334702   26337419   2718      *  10.02        9.85   \n",
       "21      chr11  103405146  103407509   2364      *   9.48        9.28   \n",
       "22      chr10  106980148  106983107   2960      *   9.66        9.45   \n",
       "23      chr13   57738277   57740343   2067      *   8.56        8.27   \n",
       "24       chr2   34365449   34366559   1111      *   8.22        7.88   \n",
       "25       chr4   18930094   18933639   3546      *  10.05        9.89   \n",
       "26       chr2  187574831  187576549   1719      *   9.64        9.44   \n",
       "27      chr10   61992041   61995615   3575      *   8.96        8.70   \n",
       "28       chr2  218359153  218360779   1627      *   8.20        7.85   \n",
       "29       chr2   67894851   67896565   1715      *   9.73        9.56   \n",
       "...       ...        ...        ...    ...    ...    ...         ...   \n",
       "4923    chr12   85183781   85184420    640      *   5.34        5.09   \n",
       "4924     chr4   38728564   38729078    515      *   4.69        4.32   \n",
       "4925    chr17   43438492   43439388    897      *   5.20        4.91   \n",
       "4926    chr12   24760151   24760625    475      *   4.58        4.25   \n",
       "4927     chr1   31154612   31155813   1202      *   6.75        6.32   \n",
       "4928     chr1  229218458  229218943    486      *   4.72        4.40   \n",
       "4929     chr3  115194377  115195116    740      *   4.94        4.65   \n",
       "4930    chr13   89457925   89458388    464      *   4.81        4.40   \n",
       "4931     chr3   29512497   29513017    521      *   5.43        5.19   \n",
       "4932    chr13   75621028   75621699    672      *   5.36        5.10   \n",
       "4933    chr14   53542531   53543132    602      *   5.26        5.01   \n",
       "4934     chr4   65009001   65009526    526      *   5.13        4.84   \n",
       "4935     chr6   72251324   72252049    726      *   5.50        5.24   \n",
       "4936    chr15   92904129   92904748    620      *   4.71        4.31   \n",
       "4937     chr3   29536188   29536815    628      *   4.92        4.60   \n",
       "4938     chrX    3940150    3940877    728      *   6.01        5.80   \n",
       "4939     chr2  117270092  117271175   1084      *   5.73        5.47   \n",
       "4940     chr1   77770455   77771133    679      *   5.50        5.24   \n",
       "4941     chr7  135174513  135175003    491      *   4.85        4.52   \n",
       "4942    chr11   27215627   27216667   1041      *   7.13        6.99   \n",
       "4943     chr6   46948671   46949087    417      *   4.49        4.09   \n",
       "4944    chr17   47230852   47231344    493      *   5.78        5.54   \n",
       "4945     chr3  103614612  103615104    493      *   4.67        4.35   \n",
       "4946    chr10   33196622   33197188    567      *   5.17        4.90   \n",
       "4947     chr1  168863682  168864372    691      *   5.29        5.03   \n",
       "4948    chr10   12720349   12720995    647      *   5.95        5.74   \n",
       "4949    chr11   36638015   36639236   1222      *   6.68        6.52   \n",
       "4950     chr9  129559591  129560191    601      *   4.87        4.22   \n",
       "4951     chr6  110358663  110359790   1128      *   6.73        6.55   \n",
       "4952     chr5   92039086   92039894    809      *   4.44        4.06   \n",
       "\n",
       "      Conc_DMSO  Fold       p.value       FDR                SYMBOL  \n",
       "0         10.10 -0.39  2.360000e-10  0.000002          character(0)  \n",
       "1          9.35 -0.59  8.950000e-10  0.000004          character(0)  \n",
       "2          9.32 -0.55  1.630000e-09  0.000005                  CTIF  \n",
       "3         10.29 -0.33  2.690000e-09  0.000005          character(0)  \n",
       "4         10.14 -0.35  2.710000e-09  0.000005               MACROD2  \n",
       "5          9.79 -0.46  2.960000e-09  0.000005                  DPH6  \n",
       "6          9.81 -0.38  4.720000e-09  0.000006          character(0)  \n",
       "7          8.19 -0.71  5.280000e-09  0.000006          character(0)  \n",
       "8          8.86 -0.62  1.440000e-08  0.000013          character(0)  \n",
       "9         10.18 -0.34  1.440000e-08  0.000013               RASSF10  \n",
       "10         9.36 -0.48  1.950000e-08  0.000016          character(0)  \n",
       "11        10.19 -0.33  2.530000e-08  0.000019          character(0)  \n",
       "12         9.75 -0.47  3.040000e-08  0.000020                 MECOM  \n",
       "13        10.16 -0.34  3.100000e-08  0.000020          character(0)  \n",
       "14         9.18 -0.50  3.190000e-08  0.000020                 ROBO2  \n",
       "15         9.10 -0.54  3.820000e-08  0.000022          character(0)  \n",
       "16        10.20 -0.35  4.270000e-08  0.000023          character(0)  \n",
       "17         9.59 -0.45  5.810000e-08  0.000030          character(0)  \n",
       "18         8.93 -0.55  9.260000e-08  0.000044          character(0)  \n",
       "19         9.39 -0.43  9.460000e-08  0.000044          character(0)  \n",
       "20        10.17 -0.32  1.050000e-07  0.000044                 TAF4B  \n",
       "21         9.65 -0.37  1.060000e-07  0.000044               DYNC2H1  \n",
       "22         9.84 -0.39  1.310000e-07  0.000053                SORCS1  \n",
       "23         8.80 -0.52  1.440000e-07  0.000055          character(0)  \n",
       "24         8.50 -0.62  1.560000e-07  0.000057          character(0)  \n",
       "25        10.19 -0.30  1.610000e-07  0.000057          character(0)  \n",
       "26         9.82 -0.38  2.170000e-07  0.000074          character(0)  \n",
       "27         9.19 -0.49  2.380000e-07  0.000076                ARID5B  \n",
       "28         8.48 -0.63  2.390000e-07  0.000076                 CATIP  \n",
       "29         9.89 -0.33  2.560000e-07  0.000076          character(0)  \n",
       "...         ...   ...           ...       ...                   ...  \n",
       "4923       5.56 -0.48  1.060000e-01  0.198000                LRRIQ1  \n",
       "4924       4.98 -0.67  1.060000e-01  0.199000          character(0)  \n",
       "4925       5.44 -0.53  1.060000e-01  0.199000          character(0)  \n",
       "4926       4.86 -0.61  1.060000e-01  0.199000          character(0)  \n",
       "4927       7.08 -0.76  1.060000e-01  0.199000          character(0)  \n",
       "4928       4.98 -0.58  1.060000e-01  0.199000          character(0)  \n",
       "4929       5.19 -0.54  1.060000e-01  0.199000          character(0)  \n",
       "4930       5.12 -0.72  1.070000e-01  0.199000          character(0)  \n",
       "4931       5.64 -0.45  1.070000e-01  0.199000                 RBMS3  \n",
       "4932       5.57 -0.47  1.070000e-01  0.199000                  LMO7  \n",
       "4933       5.47 -0.46  1.070000e-01  0.199000          character(0)  \n",
       "4934       5.38 -0.54  1.070000e-01  0.199000          character(0)  \n",
       "4935       5.71 -0.47  1.070000e-01  0.199000                 RIMS1  \n",
       "4936       5.01 -0.70  1.070000e-01  0.199000  c(\"MIR3175\", \"CHD2\")  \n",
       "4937       5.18 -0.59  1.070000e-01  0.199000                 RBMS3  \n",
       "4938       6.20 -0.39  1.070000e-01  0.199000          character(0)  \n",
       "4939       5.95 -0.48  1.070000e-01  0.199000          character(0)  \n",
       "4940       5.72 -0.47  1.070000e-01  0.199000          character(0)  \n",
       "4941       5.11 -0.59  1.070000e-01  0.200000          character(0)  \n",
       "4942       7.25 -0.26  1.070000e-01  0.200000          character(0)  \n",
       "4943       4.80 -0.71  1.070000e-01  0.200000                ADGRF5  \n",
       "4944       5.99 -0.44  1.070000e-01  0.200000          character(0)  \n",
       "4945       4.94 -0.59  1.070000e-01  0.200000          character(0)  \n",
       "4946       5.40 -0.50  1.070000e-01  0.200000                  NRP1  \n",
       "4947       5.50 -0.47  1.070000e-01  0.200000          character(0)  \n",
       "4948       6.13 -0.40  1.070000e-01  0.200000                CAMK1D  \n",
       "4949       6.83 -0.31  1.070000e-01  0.200000              C11orf74  \n",
       "4950       5.31 -1.09  1.080000e-01  0.200000          character(0)  \n",
       "4951       6.88 -0.33  1.080000e-01  0.200000               METTL24  \n",
       "4952       4.74 -0.68  1.080000e-01  0.200000          character(0)  \n",
       "\n",
       "[4953 rows x 12 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/Gefit_DMSO.H3K27Ac.diffBind.txt', \n",
    "            sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### DMSO vs Vorinostat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load ImageMagick\n",
    "convert /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Vorino_DMSO.H3K27Ac.diffBind_MA.pdf /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Vorino_DMSO.H3K27Ac.diffBind_MA.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/Vorino_DMSO.H3K27Ac.diffBind_MA.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqnames</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>width</th>\n",
       "      <th>strand</th>\n",
       "      <th>Conc</th>\n",
       "      <th>Conc_Vorino</th>\n",
       "      <th>Conc_DMSO</th>\n",
       "      <th>Fold</th>\n",
       "      <th>p.value</th>\n",
       "      <th>FDR</th>\n",
       "      <th>SYMBOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr9</td>\n",
       "      <td>18776655.0</td>\n",
       "      <td>18777816.0</td>\n",
       "      <td>1162.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.21</td>\n",
       "      <td>-0.75</td>\n",
       "      <td>5.19</td>\n",
       "      <td>-5.94</td>\n",
       "      <td>5.290000e-09</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ADAMTSL1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr1</td>\n",
       "      <td>37974769.0</td>\n",
       "      <td>37975158.0</td>\n",
       "      <td>390.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.13</td>\n",
       "      <td>4.08</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.71</td>\n",
       "      <td>5.070000e-08</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>SF3A3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr6</td>\n",
       "      <td>149565042.0</td>\n",
       "      <td>149565417.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.02</td>\n",
       "      <td>3.95</td>\n",
       "      <td>-0.29</td>\n",
       "      <td>4.23</td>\n",
       "      <td>4.050000e-07</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr6</td>\n",
       "      <td>31574181.0</td>\n",
       "      <td>31574475.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.66</td>\n",
       "      <td>3.58</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.22</td>\n",
       "      <td>9.240000e-07</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr12</td>\n",
       "      <td>3199905.0</td>\n",
       "      <td>3200738.0</td>\n",
       "      <td>834.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.94</td>\n",
       "      <td>0.26</td>\n",
       "      <td>4.88</td>\n",
       "      <td>-4.62</td>\n",
       "      <td>1.480000e-06</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>TSPAN9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr3</td>\n",
       "      <td>73038412.0</td>\n",
       "      <td>73038753.0</td>\n",
       "      <td>342.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.04</td>\n",
       "      <td>3.95</td>\n",
       "      <td>0.08</td>\n",
       "      <td>3.87</td>\n",
       "      <td>2.490000e-06</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>PPP4R2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chr9</td>\n",
       "      <td>135336735.0</td>\n",
       "      <td>135344214.0</td>\n",
       "      <td>7480.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.82</td>\n",
       "      <td>7.19</td>\n",
       "      <td>9.57</td>\n",
       "      <td>-2.38</td>\n",
       "      <td>2.780000e-06</td>\n",
       "      <td>0.0407</td>\n",
       "      <td>C9orf62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chr12</td>\n",
       "      <td>120976917.0</td>\n",
       "      <td>120985307.0</td>\n",
       "      <td>8391.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.76</td>\n",
       "      <td>8.64</td>\n",
       "      <td>10.39</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>3.930000e-06</td>\n",
       "      <td>0.0407</td>\n",
       "      <td>HNF1A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chr1</td>\n",
       "      <td>213416015.0</td>\n",
       "      <td>213416803.0</td>\n",
       "      <td>789.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.90</td>\n",
       "      <td>1.32</td>\n",
       "      <td>4.78</td>\n",
       "      <td>-3.46</td>\n",
       "      <td>7.690000e-06</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chr16</td>\n",
       "      <td>14638046.0</td>\n",
       "      <td>14638536.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.54</td>\n",
       "      <td>3.41</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>3.41</td>\n",
       "      <td>1.690000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>BFAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>chr10</td>\n",
       "      <td>21555274.0</td>\n",
       "      <td>21555564.0</td>\n",
       "      <td>291.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.37</td>\n",
       "      <td>3.25</td>\n",
       "      <td>-0.29</td>\n",
       "      <td>3.54</td>\n",
       "      <td>1.740000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>MLLT10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>chr20</td>\n",
       "      <td>24770618.0</td>\n",
       "      <td>24771044.0</td>\n",
       "      <td>427.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.22</td>\n",
       "      <td>0.63</td>\n",
       "      <td>4.09</td>\n",
       "      <td>-3.46</td>\n",
       "      <td>2.260000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>chr10</td>\n",
       "      <td>32150901.0</td>\n",
       "      <td>32152213.0</td>\n",
       "      <td>1313.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.34</td>\n",
       "      <td>4.18</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.13</td>\n",
       "      <td>2.530000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>chr20</td>\n",
       "      <td>14005521.0</td>\n",
       "      <td>14005783.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.42</td>\n",
       "      <td>3.29</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>3.35</td>\n",
       "      <td>2.610000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>MACROD2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chr1</td>\n",
       "      <td>161210052.0</td>\n",
       "      <td>161210584.0</td>\n",
       "      <td>533.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.25</td>\n",
       "      <td>4.11</td>\n",
       "      <td>0.76</td>\n",
       "      <td>3.35</td>\n",
       "      <td>2.690000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>NDUFS2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chr10</td>\n",
       "      <td>100993986.0</td>\n",
       "      <td>100994423.0</td>\n",
       "      <td>438.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.40</td>\n",
       "      <td>4.25</td>\n",
       "      <td>1.09</td>\n",
       "      <td>3.16</td>\n",
       "      <td>2.770000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>C10orf2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chr3</td>\n",
       "      <td>49529976.0</td>\n",
       "      <td>49530517.0</td>\n",
       "      <td>542.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.05</td>\n",
       "      <td>3.91</td>\n",
       "      <td>0.61</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.820000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>DAG1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chr17</td>\n",
       "      <td>7746053.0</td>\n",
       "      <td>7746300.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.89</td>\n",
       "      <td>3.76</td>\n",
       "      <td>0.43</td>\n",
       "      <td>3.33</td>\n",
       "      <td>2.880000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>DNAH2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137367930.0</td>\n",
       "      <td>137374008.0</td>\n",
       "      <td>6079.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.70</td>\n",
       "      <td>7.07</td>\n",
       "      <td>9.45</td>\n",
       "      <td>-2.38</td>\n",
       "      <td>3.030000e-05</td>\n",
       "      <td>0.0461</td>\n",
       "      <td>EXD3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>chr1</td>\n",
       "      <td>1473680.0</td>\n",
       "      <td>1474168.0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.47</td>\n",
       "      <td>3.33</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>3.34</td>\n",
       "      <td>3.080000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ATAD3B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>chr14</td>\n",
       "      <td>30979876.0</td>\n",
       "      <td>30980236.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.24</td>\n",
       "      <td>3.12</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>3.47</td>\n",
       "      <td>3.210000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>STRN3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>chr2</td>\n",
       "      <td>177251335.0</td>\n",
       "      <td>177251768.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.05</td>\n",
       "      <td>3.90</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.260000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>NFE2L2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>chr12</td>\n",
       "      <td>49055695.0</td>\n",
       "      <td>49056216.0</td>\n",
       "      <td>522.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.21</td>\n",
       "      <td>4.05</td>\n",
       "      <td>0.95</td>\n",
       "      <td>3.10</td>\n",
       "      <td>3.280000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>chr2</td>\n",
       "      <td>238287867.0</td>\n",
       "      <td>238289818.0</td>\n",
       "      <td>1952.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.09</td>\n",
       "      <td>6.46</td>\n",
       "      <td>8.84</td>\n",
       "      <td>-2.38</td>\n",
       "      <td>3.520000e-05</td>\n",
       "      <td>0.0461</td>\n",
       "      <td>PER2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>chr6</td>\n",
       "      <td>157764976.0</td>\n",
       "      <td>157765301.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.06</td>\n",
       "      <td>2.95</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>3.58</td>\n",
       "      <td>4.490000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>chr7</td>\n",
       "      <td>47799480.0</td>\n",
       "      <td>47799858.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.65</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.26</td>\n",
       "      <td>3.25</td>\n",
       "      <td>4.510000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>c(\"PKD1L1\", \"C7orf69\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>chr6</td>\n",
       "      <td>158812094.0</td>\n",
       "      <td>158812353.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.96</td>\n",
       "      <td>3.80</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.05</td>\n",
       "      <td>5.190000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>EZR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>chr19</td>\n",
       "      <td>18112633.0</td>\n",
       "      <td>18113091.0</td>\n",
       "      <td>459.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.83</td>\n",
       "      <td>4.67</td>\n",
       "      <td>1.62</td>\n",
       "      <td>3.05</td>\n",
       "      <td>5.610000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>MAST3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>chr3</td>\n",
       "      <td>185926458.0</td>\n",
       "      <td>185926844.0</td>\n",
       "      <td>387.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.78</td>\n",
       "      <td>3.63</td>\n",
       "      <td>0.45</td>\n",
       "      <td>3.17</td>\n",
       "      <td>5.770000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>TRA2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chr17</td>\n",
       "      <td>74206932.0</td>\n",
       "      <td>74207431.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.88</td>\n",
       "      <td>3.73</td>\n",
       "      <td>0.55</td>\n",
       "      <td>3.17</td>\n",
       "      <td>6.240000e-05</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>RPL38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57791</th>\n",
       "      <td>chr8</td>\n",
       "      <td>406350.0</td>\n",
       "      <td>407666.0</td>\n",
       "      <td>1317.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.90</td>\n",
       "      <td>4.76</td>\n",
       "      <td>6.53</td>\n",
       "      <td>-1.77</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>FBXO25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57792</th>\n",
       "      <td>chr8</td>\n",
       "      <td>42152120.0</td>\n",
       "      <td>42152911.0</td>\n",
       "      <td>792.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.42</td>\n",
       "      <td>5.43</td>\n",
       "      <td>7.00</td>\n",
       "      <td>-1.57</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57793</th>\n",
       "      <td>chr8</td>\n",
       "      <td>66961128.0</td>\n",
       "      <td>66963430.0</td>\n",
       "      <td>2303.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.84</td>\n",
       "      <td>6.20</td>\n",
       "      <td>7.28</td>\n",
       "      <td>-1.08</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>TCF24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57794</th>\n",
       "      <td>chr8</td>\n",
       "      <td>96160324.0</td>\n",
       "      <td>96161522.0</td>\n",
       "      <td>1199.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.83</td>\n",
       "      <td>5.07</td>\n",
       "      <td>6.32</td>\n",
       "      <td>-1.25</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>GDF6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57795</th>\n",
       "      <td>chr8</td>\n",
       "      <td>98293594.0</td>\n",
       "      <td>98294585.0</td>\n",
       "      <td>992.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.43</td>\n",
       "      <td>5.38</td>\n",
       "      <td>7.03</td>\n",
       "      <td>-1.65</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>NIPAL2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57796</th>\n",
       "      <td>chr8</td>\n",
       "      <td>142450751.0</td>\n",
       "      <td>142451557.0</td>\n",
       "      <td>807.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.63</td>\n",
       "      <td>4.67</td>\n",
       "      <td>-2.03</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57797</th>\n",
       "      <td>chr8</td>\n",
       "      <td>142452402.0</td>\n",
       "      <td>142453854.0</td>\n",
       "      <td>1453.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.85</td>\n",
       "      <td>5.38</td>\n",
       "      <td>7.57</td>\n",
       "      <td>-2.19</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57798</th>\n",
       "      <td>chr8</td>\n",
       "      <td>143428836.0</td>\n",
       "      <td>143430044.0</td>\n",
       "      <td>1209.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.76</td>\n",
       "      <td>4.88</td>\n",
       "      <td>6.31</td>\n",
       "      <td>-1.42</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>MAFA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57799</th>\n",
       "      <td>chr8</td>\n",
       "      <td>143512363.0</td>\n",
       "      <td>143513499.0</td>\n",
       "      <td>1137.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.70</td>\n",
       "      <td>3.92</td>\n",
       "      <td>5.20</td>\n",
       "      <td>-1.29</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ZC3H3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57800</th>\n",
       "      <td>chr8</td>\n",
       "      <td>143739371.0</td>\n",
       "      <td>143740800.0</td>\n",
       "      <td>1430.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.53</td>\n",
       "      <td>4.24</td>\n",
       "      <td>6.20</td>\n",
       "      <td>-1.96</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>FAM83H-AS1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57801</th>\n",
       "      <td>chr8</td>\n",
       "      <td>143884365.0</td>\n",
       "      <td>143888303.0</td>\n",
       "      <td>3939.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.81</td>\n",
       "      <td>5.78</td>\n",
       "      <td>7.40</td>\n",
       "      <td>-1.62</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57802</th>\n",
       "      <td>chr9</td>\n",
       "      <td>91948693.0</td>\n",
       "      <td>91950808.0</td>\n",
       "      <td>2116.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.56</td>\n",
       "      <td>4.73</td>\n",
       "      <td>6.08</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ROR2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57803</th>\n",
       "      <td>chr9</td>\n",
       "      <td>93827576.0</td>\n",
       "      <td>93828239.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.98</td>\n",
       "      <td>3.58</td>\n",
       "      <td>5.68</td>\n",
       "      <td>-2.10</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57804</th>\n",
       "      <td>chr9</td>\n",
       "      <td>121499361.0</td>\n",
       "      <td>121500403.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.65</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.09</td>\n",
       "      <td>-1.09</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>GGTA1P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57805</th>\n",
       "      <td>chr9</td>\n",
       "      <td>122213358.0</td>\n",
       "      <td>122214778.0</td>\n",
       "      <td>1421.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.40</td>\n",
       "      <td>5.18</td>\n",
       "      <td>7.05</td>\n",
       "      <td>-1.87</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>LHX6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57806</th>\n",
       "      <td>chr9</td>\n",
       "      <td>127121930.0</td>\n",
       "      <td>127123400.0</td>\n",
       "      <td>1471.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.63</td>\n",
       "      <td>5.60</td>\n",
       "      <td>7.22</td>\n",
       "      <td>-1.63</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>c(\"ANGPTL2\", \"RALGPS1\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57807</th>\n",
       "      <td>chr9</td>\n",
       "      <td>131289444.0</td>\n",
       "      <td>131290947.0</td>\n",
       "      <td>1504.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.75</td>\n",
       "      <td>4.52</td>\n",
       "      <td>6.40</td>\n",
       "      <td>-1.88</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>PLPP7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57808</th>\n",
       "      <td>chr9</td>\n",
       "      <td>133143845.0</td>\n",
       "      <td>133144771.0</td>\n",
       "      <td>927.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.85</td>\n",
       "      <td>4.92</td>\n",
       "      <td>6.41</td>\n",
       "      <td>-1.49</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>RALGDS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57809</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136132820.0</td>\n",
       "      <td>136134004.0</td>\n",
       "      <td>1185.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.85</td>\n",
       "      <td>4.88</td>\n",
       "      <td>6.42</td>\n",
       "      <td>-1.54</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57810</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136968087.0</td>\n",
       "      <td>136970707.0</td>\n",
       "      <td>2621.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.43</td>\n",
       "      <td>4.47</td>\n",
       "      <td>6.00</td>\n",
       "      <td>-1.53</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57811</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136975597.0</td>\n",
       "      <td>136979500.0</td>\n",
       "      <td>3904.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.42</td>\n",
       "      <td>6.60</td>\n",
       "      <td>7.94</td>\n",
       "      <td>-1.34</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>PTGDS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57812</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137406315.0</td>\n",
       "      <td>137407688.0</td>\n",
       "      <td>1374.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.26</td>\n",
       "      <td>5.91</td>\n",
       "      <td>7.94</td>\n",
       "      <td>-2.03</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>EXD3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57813</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137452913.0</td>\n",
       "      <td>137455605.0</td>\n",
       "      <td>2693.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.66</td>\n",
       "      <td>6.07</td>\n",
       "      <td>7.08</td>\n",
       "      <td>-1.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>NSMF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57814</th>\n",
       "      <td>chrX</td>\n",
       "      <td>39820405.0</td>\n",
       "      <td>39822205.0</td>\n",
       "      <td>1801.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.22</td>\n",
       "      <td>4.86</td>\n",
       "      <td>6.91</td>\n",
       "      <td>-2.05</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57815</th>\n",
       "      <td>chrX</td>\n",
       "      <td>43881942.0</td>\n",
       "      <td>43882608.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.96</td>\n",
       "      <td>3.64</td>\n",
       "      <td>5.64</td>\n",
       "      <td>-2.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>MAOB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57816</th>\n",
       "      <td>chrX</td>\n",
       "      <td>68693560.0</td>\n",
       "      <td>68694314.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.57</td>\n",
       "      <td>4.39</td>\n",
       "      <td>6.21</td>\n",
       "      <td>-1.82</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>STARD8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57817</th>\n",
       "      <td>chrX</td>\n",
       "      <td>119757896.0</td>\n",
       "      <td>119759285.0</td>\n",
       "      <td>1390.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.45</td>\n",
       "      <td>5.49</td>\n",
       "      <td>7.02</td>\n",
       "      <td>-1.52</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>SOWAHD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57818</th>\n",
       "      <td>chrX</td>\n",
       "      <td>130059915.0</td>\n",
       "      <td>130061133.0</td>\n",
       "      <td>1219.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.71</td>\n",
       "      <td>5.26</td>\n",
       "      <td>7.42</td>\n",
       "      <td>-2.17</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57819</th>\n",
       "      <td>chrX</td>\n",
       "      <td>136766945.0</td>\n",
       "      <td>136767928.0</td>\n",
       "      <td>984.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.23</td>\n",
       "      <td>3.87</td>\n",
       "      <td>5.92</td>\n",
       "      <td>-2.05</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ARHGEF6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57820</th>\n",
       "      <td>chrX</td>\n",
       "      <td>153487138.0</td>\n",
       "      <td>153489516.0</td>\n",
       "      <td>2379.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.61</td>\n",
       "      <td>5.30</td>\n",
       "      <td>7.29</td>\n",
       "      <td>-1.99</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>HAUS7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>57821 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      seqnames        start          end   width strand  Conc  Conc_Vorino  \\\n",
       "0         chr9   18776655.0   18777816.0  1162.0      *  4.21        -0.75   \n",
       "1         chr1   37974769.0   37975158.0   390.0      *  3.13         4.08   \n",
       "2         chr6  149565042.0  149565417.0   376.0      *  3.02         3.95   \n",
       "3         chr6   31574181.0   31574475.0   295.0      *  2.66         3.58   \n",
       "4        chr12    3199905.0    3200738.0   834.0      *  3.94         0.26   \n",
       "5         chr3   73038412.0   73038753.0   342.0      *  3.04         3.95   \n",
       "6         chr9  135336735.0  135344214.0  7480.0      *  8.82         7.19   \n",
       "7        chr12  120976917.0  120985307.0  8391.0      *  9.76         8.64   \n",
       "8         chr1  213416015.0  213416803.0   789.0      *  3.90         1.32   \n",
       "9        chr16   14638046.0   14638536.0   491.0      *  2.54         3.41   \n",
       "10       chr10   21555274.0   21555564.0   291.0      *  2.37         3.25   \n",
       "11       chr20   24770618.0   24771044.0   427.0      *  3.22         0.63   \n",
       "12       chr10   32150901.0   32152213.0  1313.0      *  3.34         4.18   \n",
       "13       chr20   14005521.0   14005783.0   263.0      *  2.42         3.29   \n",
       "14        chr1  161210052.0  161210584.0   533.0      *  3.25         4.11   \n",
       "15       chr10  100993986.0  100994423.0   438.0      *  3.40         4.25   \n",
       "16        chr3   49529976.0   49530517.0   542.0      *  3.05         3.91   \n",
       "17       chr17    7746053.0    7746300.0   248.0      *  2.89         3.76   \n",
       "18        chr9  137367930.0  137374008.0  6079.0      *  8.70         7.07   \n",
       "19        chr1    1473680.0    1474168.0   489.0      *  2.47         3.33   \n",
       "20       chr14   30979876.0   30980236.0   361.0      *  2.24         3.12   \n",
       "21        chr2  177251335.0  177251768.0   434.0      *  3.05         3.90   \n",
       "22       chr12   49055695.0   49056216.0   522.0      *  3.21         4.05   \n",
       "23        chr2  238287867.0  238289818.0  1952.0      *  8.09         6.46   \n",
       "24        chr6  157764976.0  157765301.0   326.0      *  2.06         2.95   \n",
       "25        chr7   47799480.0   47799858.0   379.0      *  2.65         3.51   \n",
       "26        chr6  158812094.0  158812353.0   260.0      *  2.96         3.80   \n",
       "27       chr19   18112633.0   18113091.0   459.0      *  3.83         4.67   \n",
       "28        chr3  185926458.0  185926844.0   387.0      *  2.78         3.63   \n",
       "29       chr17   74206932.0   74207431.0   500.0      *  2.88         3.73   \n",
       "...        ...          ...          ...     ...    ...   ...          ...   \n",
       "57791     chr8     406350.0     407666.0  1317.0      *  5.90         4.76   \n",
       "57792     chr8   42152120.0   42152911.0   792.0      *  6.42         5.43   \n",
       "57793     chr8   66961128.0   66963430.0  2303.0      *  6.84         6.20   \n",
       "57794     chr8   96160324.0   96161522.0  1199.0      *  5.83         5.07   \n",
       "57795     chr8   98293594.0   98294585.0   992.0      *  6.43         5.38   \n",
       "57796     chr8  142450751.0  142451557.0   807.0      *  3.98         2.63   \n",
       "57797     chr8  142452402.0  142453854.0  1453.0      *  6.85         5.38   \n",
       "57798     chr8  143428836.0  143430044.0  1209.0      *  5.76         4.88   \n",
       "57799     chr8  143512363.0  143513499.0  1137.0      *  4.70         3.92   \n",
       "57800     chr8  143739371.0  143740800.0  1430.0      *  5.53         4.24   \n",
       "57801     chr8  143884365.0  143888303.0  3939.0      *  6.81         5.78   \n",
       "57802     chr9   91948693.0   91950808.0  2116.0      *  5.56         4.73   \n",
       "57803     chr9   93827576.0   93828239.0   664.0      *  4.98         3.58   \n",
       "57804     chr9  121499361.0  121500403.0  1043.0      *  5.65         5.00   \n",
       "57805     chr9  122213358.0  122214778.0  1421.0      *  6.40         5.18   \n",
       "57806     chr9  127121930.0  127123400.0  1471.0      *  6.63         5.60   \n",
       "57807     chr9  131289444.0  131290947.0  1504.0      *  5.75         4.52   \n",
       "57808     chr9  133143845.0  133144771.0   927.0      *  5.85         4.92   \n",
       "57809     chr9  136132820.0  136134004.0  1185.0      *  5.85         4.88   \n",
       "57810     chr9  136968087.0  136970707.0  2621.0      *  5.43         4.47   \n",
       "57811     chr9  136975597.0  136979500.0  3904.0      *  7.42         6.60   \n",
       "57812     chr9  137406315.0  137407688.0  1374.0      *  7.26         5.91   \n",
       "57813     chr9  137452913.0  137455605.0  2693.0      *  6.66         6.07   \n",
       "57814     chrX   39820405.0   39822205.0  1801.0      *  6.22         4.86   \n",
       "57815     chrX   43881942.0   43882608.0   667.0      *  4.96         3.64   \n",
       "57816     chrX   68693560.0   68694314.0   755.0      *  5.57         4.39   \n",
       "57817     chrX  119757896.0  119759285.0  1390.0      *  6.45         5.49   \n",
       "57818     chrX  130059915.0  130061133.0  1219.0      *  6.71         5.26   \n",
       "57819     chrX  136766945.0  136767928.0   984.0      *  5.23         3.87   \n",
       "57820     chrX  153487138.0  153489516.0  2379.0      *  6.61         5.30   \n",
       "\n",
       "       Conc_DMSO  Fold       p.value     FDR                   SYMBOL  \n",
       "0           5.19 -5.94  5.290000e-09  1.0000                 ADAMTSL1  \n",
       "1          -0.63  4.71  5.070000e-08  1.0000                    SF3A3  \n",
       "2          -0.29  4.23  4.050000e-07  1.0000             character(0)  \n",
       "3          -0.63  4.22  9.240000e-07  1.0000             character(0)  \n",
       "4           4.88 -4.62  1.480000e-06  1.0000                   TSPAN9  \n",
       "5           0.08  3.87  2.490000e-06  1.0000                   PPP4R2  \n",
       "6           9.57 -2.38  2.780000e-06  0.0407                  C9orf62  \n",
       "7          10.39 -1.75  3.930000e-06  0.0407                    HNF1A  \n",
       "8           4.78 -3.46  7.690000e-06  1.0000             character(0)  \n",
       "9          -0.01  3.41  1.690000e-05  1.0000                     BFAR  \n",
       "10         -0.29  3.54  1.740000e-05  1.0000                   MLLT10  \n",
       "11          4.09 -3.46  2.260000e-05  1.0000             character(0)  \n",
       "12          1.05  3.13  2.530000e-05  1.0000             character(0)  \n",
       "13         -0.06  3.35  2.610000e-05  1.0000                  MACROD2  \n",
       "14          0.76  3.35  2.690000e-05  1.0000                   NDUFS2  \n",
       "15          1.09  3.16  2.770000e-05  1.0000                  C10orf2  \n",
       "16          0.61  3.30  2.820000e-05  1.0000                     DAG1  \n",
       "17          0.43  3.33  2.880000e-05  1.0000                    DNAH2  \n",
       "18          9.45 -2.38  3.030000e-05  0.0461                     EXD3  \n",
       "19         -0.01  3.34  3.080000e-05  1.0000                   ATAD3B  \n",
       "20         -0.35  3.47  3.210000e-05  1.0000                    STRN3  \n",
       "21          0.75  3.15  3.260000e-05  1.0000                   NFE2L2  \n",
       "22          0.95  3.10  3.280000e-05  1.0000             character(0)  \n",
       "23          8.84 -2.38  3.520000e-05  0.0461                     PER2  \n",
       "24         -0.63  3.58  4.490000e-05  1.0000             character(0)  \n",
       "25          0.26  3.25  4.510000e-05  1.0000   c(\"PKD1L1\", \"C7orf69\")  \n",
       "26          0.75  3.05  5.190000e-05  1.0000                      EZR  \n",
       "27          1.62  3.05  5.610000e-05  1.0000                    MAST3  \n",
       "28          0.45  3.17  5.770000e-05  1.0000                    TRA2B  \n",
       "29          0.55  3.17  6.240000e-05  1.0000                    RPL38  \n",
       "...          ...   ...           ...     ...                      ...  \n",
       "57791       6.53 -1.77  1.000000e+00  1.0000                   FBXO25  \n",
       "57792       7.00 -1.57  1.000000e+00  1.0000             character(0)  \n",
       "57793       7.28 -1.08  1.000000e+00  1.0000                    TCF24  \n",
       "57794       6.32 -1.25  1.000000e+00  1.0000                     GDF6  \n",
       "57795       7.03 -1.65  1.000000e+00  1.0000                   NIPAL2  \n",
       "57796       4.67 -2.03  1.000000e+00  1.0000             character(0)  \n",
       "57797       7.57 -2.19  1.000000e+00  1.0000             character(0)  \n",
       "57798       6.31 -1.42  1.000000e+00  1.0000                     MAFA  \n",
       "57799       5.20 -1.29  1.000000e+00  1.0000                    ZC3H3  \n",
       "57800       6.20 -1.96  1.000000e+00  1.0000               FAM83H-AS1  \n",
       "57801       7.40 -1.62  1.000000e+00  1.0000             character(0)  \n",
       "57802       6.08 -1.35  1.000000e+00  1.0000                     ROR2  \n",
       "57803       5.68 -2.10  1.000000e+00  1.0000             character(0)  \n",
       "57804       6.09 -1.09  1.000000e+00  1.0000                   GGTA1P  \n",
       "57805       7.05 -1.87  1.000000e+00  1.0000                     LHX6  \n",
       "57806       7.22 -1.63  1.000000e+00  1.0000  c(\"ANGPTL2\", \"RALGPS1\")  \n",
       "57807       6.40 -1.88  1.000000e+00  1.0000                    PLPP7  \n",
       "57808       6.41 -1.49  1.000000e+00  1.0000                   RALGDS  \n",
       "57809       6.42 -1.54  1.000000e+00  1.0000             character(0)  \n",
       "57810       6.00 -1.53  1.000000e+00  1.0000             character(0)  \n",
       "57811       7.94 -1.34  1.000000e+00  1.0000                    PTGDS  \n",
       "57812       7.94 -2.03  1.000000e+00  1.0000                     EXD3  \n",
       "57813       7.08 -1.01  1.000000e+00  1.0000                     NSMF  \n",
       "57814       6.91 -2.05  1.000000e+00  1.0000             character(0)  \n",
       "57815       5.64 -2.00  1.000000e+00  1.0000                     MAOB  \n",
       "57816       6.21 -1.82  1.000000e+00  1.0000                   STARD8  \n",
       "57817       7.02 -1.52  1.000000e+00  1.0000                   SOWAHD  \n",
       "57818       7.42 -2.17  1.000000e+00  1.0000             character(0)  \n",
       "57819       5.92 -2.05  1.000000e+00  1.0000                  ARHGEF6  \n",
       "57820       7.29 -1.99  1.000000e+00  1.0000                    HAUS7  \n",
       "\n",
       "[57821 rows x 12 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/Vorino_DMSO.H3K27Ac.diffBind.txt', \n",
    "            sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### DMSO vs Gefit+THZ531"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load ImageMagick\n",
    "convert /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_DMSO.H3K27Ac.diffBind_MA.pdf /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_DMSO.H3K27Ac.diffBind_MA.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_DMSO.H3K27Ac.diffBind_MA.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqnames</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>width</th>\n",
       "      <th>strand</th>\n",
       "      <th>Conc</th>\n",
       "      <th>Conc_GT</th>\n",
       "      <th>Conc_DMSO</th>\n",
       "      <th>Fold</th>\n",
       "      <th>p.value</th>\n",
       "      <th>FDR</th>\n",
       "      <th>SYMBOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr17</td>\n",
       "      <td>63787578.0</td>\n",
       "      <td>63788766.0</td>\n",
       "      <td>1189.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.86</td>\n",
       "      <td>5.83</td>\n",
       "      <td>0.23</td>\n",
       "      <td>5.60</td>\n",
       "      <td>9.080000e-11</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>DDX42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr10</td>\n",
       "      <td>32150901.0</td>\n",
       "      <td>32152213.0</td>\n",
       "      <td>1313.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.11</td>\n",
       "      <td>6.06</td>\n",
       "      <td>1.05</td>\n",
       "      <td>5.01</td>\n",
       "      <td>3.740000e-10</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr1</td>\n",
       "      <td>21194669.0</td>\n",
       "      <td>21195354.0</td>\n",
       "      <td>686.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.19</td>\n",
       "      <td>5.15</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>5.27</td>\n",
       "      <td>8.470000e-10</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr19</td>\n",
       "      <td>23491770.0</td>\n",
       "      <td>23492763.0</td>\n",
       "      <td>994.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.38</td>\n",
       "      <td>5.32</td>\n",
       "      <td>0.63</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.990000e-09</td>\n",
       "      <td>0.000072</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr1</td>\n",
       "      <td>164767805.0</td>\n",
       "      <td>164768469.0</td>\n",
       "      <td>665.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.93</td>\n",
       "      <td>4.88</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>4.89</td>\n",
       "      <td>6.590000e-09</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>PBX1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr4</td>\n",
       "      <td>151637687.0</td>\n",
       "      <td>151638643.0</td>\n",
       "      <td>957.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.56</td>\n",
       "      <td>5.50</td>\n",
       "      <td>0.86</td>\n",
       "      <td>4.64</td>\n",
       "      <td>8.730000e-09</td>\n",
       "      <td>0.000084</td>\n",
       "      <td>FAM160A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chr11</td>\n",
       "      <td>3374798.0</td>\n",
       "      <td>3375543.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.92</td>\n",
       "      <td>4.87</td>\n",
       "      <td>0.08</td>\n",
       "      <td>4.79</td>\n",
       "      <td>1.380000e-08</td>\n",
       "      <td>0.000114</td>\n",
       "      <td>ZNF195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chr21</td>\n",
       "      <td>26128379.0</td>\n",
       "      <td>26128945.0</td>\n",
       "      <td>567.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.40</td>\n",
       "      <td>4.35</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.98</td>\n",
       "      <td>2.040000e-08</td>\n",
       "      <td>0.000134</td>\n",
       "      <td>APP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chr20</td>\n",
       "      <td>63210105.0</td>\n",
       "      <td>63210635.0</td>\n",
       "      <td>531.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.35</td>\n",
       "      <td>4.30</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.93</td>\n",
       "      <td>2.100000e-08</td>\n",
       "      <td>0.000134</td>\n",
       "      <td>YTHDF1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chr12</td>\n",
       "      <td>56442117.0</td>\n",
       "      <td>56443222.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.12</td>\n",
       "      <td>6.05</td>\n",
       "      <td>1.65</td>\n",
       "      <td>4.40</td>\n",
       "      <td>2.510000e-08</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>TIMELESS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>chr6</td>\n",
       "      <td>168272761.0</td>\n",
       "      <td>168276394.0</td>\n",
       "      <td>3634.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.30</td>\n",
       "      <td>6.38</td>\n",
       "      <td>9.09</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>3.000000e-08</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>chr18</td>\n",
       "      <td>62624571.0</td>\n",
       "      <td>62625107.0</td>\n",
       "      <td>537.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.12</td>\n",
       "      <td>5.06</td>\n",
       "      <td>0.45</td>\n",
       "      <td>4.61</td>\n",
       "      <td>3.010000e-08</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>chr6</td>\n",
       "      <td>70234613.0</td>\n",
       "      <td>70235092.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.45</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>4.40</td>\n",
       "      <td>-4.82</td>\n",
       "      <td>3.460000e-08</td>\n",
       "      <td>0.000153</td>\n",
       "      <td>COL9A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>chr10</td>\n",
       "      <td>44910336.0</td>\n",
       "      <td>44911929.0</td>\n",
       "      <td>1594.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.27</td>\n",
       "      <td>3.64</td>\n",
       "      <td>7.15</td>\n",
       "      <td>-3.50</td>\n",
       "      <td>5.220000e-08</td>\n",
       "      <td>0.000197</td>\n",
       "      <td>c(\"TMEM72-AS1\", \"TMEM72\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chr13</td>\n",
       "      <td>49745439.0</td>\n",
       "      <td>49746151.0</td>\n",
       "      <td>713.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.76</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.08</td>\n",
       "      <td>4.63</td>\n",
       "      <td>5.270000e-08</td>\n",
       "      <td>0.000197</td>\n",
       "      <td>KPNA3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chr9</td>\n",
       "      <td>89555537.0</td>\n",
       "      <td>89557092.0</td>\n",
       "      <td>1556.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.61</td>\n",
       "      <td>2.49</td>\n",
       "      <td>6.52</td>\n",
       "      <td>-4.03</td>\n",
       "      <td>5.470000e-08</td>\n",
       "      <td>0.000197</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chr10</td>\n",
       "      <td>110857126.0</td>\n",
       "      <td>110857664.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.75</td>\n",
       "      <td>5.67</td>\n",
       "      <td>1.43</td>\n",
       "      <td>4.24</td>\n",
       "      <td>6.650000e-08</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chr17</td>\n",
       "      <td>2508302.0</td>\n",
       "      <td>2508747.0</td>\n",
       "      <td>446.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.91</td>\n",
       "      <td>4.84</td>\n",
       "      <td>0.53</td>\n",
       "      <td>4.31</td>\n",
       "      <td>6.920000e-08</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>METTL16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>chr10</td>\n",
       "      <td>87585682.0</td>\n",
       "      <td>87586148.0</td>\n",
       "      <td>467.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.20</td>\n",
       "      <td>4.15</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.78</td>\n",
       "      <td>7.050000e-08</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>chr3</td>\n",
       "      <td>71049836.0</td>\n",
       "      <td>71050208.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.14</td>\n",
       "      <td>4.08</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.71</td>\n",
       "      <td>8.020000e-08</td>\n",
       "      <td>0.000231</td>\n",
       "      <td>FOXP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>chr5</td>\n",
       "      <td>55418814.0</td>\n",
       "      <td>55419783.0</td>\n",
       "      <td>970.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.08</td>\n",
       "      <td>5.01</td>\n",
       "      <td>0.70</td>\n",
       "      <td>4.31</td>\n",
       "      <td>9.150000e-08</td>\n",
       "      <td>0.000247</td>\n",
       "      <td>SKIV2L2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>chr1</td>\n",
       "      <td>81900333.0</td>\n",
       "      <td>81901025.0</td>\n",
       "      <td>693.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.98</td>\n",
       "      <td>0.75</td>\n",
       "      <td>4.23</td>\n",
       "      <td>9.430000e-08</td>\n",
       "      <td>0.000247</td>\n",
       "      <td>ADGRL2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>chr1</td>\n",
       "      <td>21052194.0</td>\n",
       "      <td>21052566.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.29</td>\n",
       "      <td>4.23</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>4.58</td>\n",
       "      <td>1.090000e-07</td>\n",
       "      <td>0.000272</td>\n",
       "      <td>EIF4G3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>chr2</td>\n",
       "      <td>43898857.0</td>\n",
       "      <td>43899240.0</td>\n",
       "      <td>384.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.04</td>\n",
       "      <td>3.98</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.61</td>\n",
       "      <td>1.340000e-07</td>\n",
       "      <td>0.000321</td>\n",
       "      <td>LRPPRC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>chr4</td>\n",
       "      <td>48619400.0</td>\n",
       "      <td>48619845.0</td>\n",
       "      <td>446.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.08</td>\n",
       "      <td>4.03</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>4.66</td>\n",
       "      <td>1.430000e-07</td>\n",
       "      <td>0.000328</td>\n",
       "      <td>FRYL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>chr3</td>\n",
       "      <td>133644950.0</td>\n",
       "      <td>133645602.0</td>\n",
       "      <td>653.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.63</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.30</td>\n",
       "      <td>4.26</td>\n",
       "      <td>1.500000e-07</td>\n",
       "      <td>0.000332</td>\n",
       "      <td>TOPBP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>chr16</td>\n",
       "      <td>57198709.0</td>\n",
       "      <td>57199491.0</td>\n",
       "      <td>783.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.58</td>\n",
       "      <td>4.52</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>4.53</td>\n",
       "      <td>1.700000e-07</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>RSPRY1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>chr15</td>\n",
       "      <td>71295963.0</td>\n",
       "      <td>71296717.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.09</td>\n",
       "      <td>5.01</td>\n",
       "      <td>0.92</td>\n",
       "      <td>4.09</td>\n",
       "      <td>1.790000e-07</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>THSD4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>chr17</td>\n",
       "      <td>63788875.0</td>\n",
       "      <td>63789252.0</td>\n",
       "      <td>378.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.21</td>\n",
       "      <td>4.14</td>\n",
       "      <td>-0.29</td>\n",
       "      <td>4.43</td>\n",
       "      <td>1.800000e-07</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>DDX42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chr1</td>\n",
       "      <td>21054510.0</td>\n",
       "      <td>21060542.0</td>\n",
       "      <td>6033.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.72</td>\n",
       "      <td>8.62</td>\n",
       "      <td>4.76</td>\n",
       "      <td>3.86</td>\n",
       "      <td>1.850000e-07</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>EIF4G3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57791</th>\n",
       "      <td>chr8</td>\n",
       "      <td>66961128.0</td>\n",
       "      <td>66963430.0</td>\n",
       "      <td>2303.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.52</td>\n",
       "      <td>4.80</td>\n",
       "      <td>7.28</td>\n",
       "      <td>-2.48</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>TCF24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57792</th>\n",
       "      <td>chr8</td>\n",
       "      <td>96160324.0</td>\n",
       "      <td>96161522.0</td>\n",
       "      <td>1199.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.82</td>\n",
       "      <td>5.03</td>\n",
       "      <td>6.32</td>\n",
       "      <td>-1.29</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>GDF6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57793</th>\n",
       "      <td>chr8</td>\n",
       "      <td>141366117.0</td>\n",
       "      <td>141367569.0</td>\n",
       "      <td>1453.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.33</td>\n",
       "      <td>1.80</td>\n",
       "      <td>5.20</td>\n",
       "      <td>-3.39</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>GPR20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57794</th>\n",
       "      <td>chr8</td>\n",
       "      <td>143428836.0</td>\n",
       "      <td>143430044.0</td>\n",
       "      <td>1209.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.58</td>\n",
       "      <td>4.06</td>\n",
       "      <td>6.31</td>\n",
       "      <td>-2.25</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>MAFA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57795</th>\n",
       "      <td>chr8</td>\n",
       "      <td>143512363.0</td>\n",
       "      <td>143513499.0</td>\n",
       "      <td>1137.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.50</td>\n",
       "      <td>3.09</td>\n",
       "      <td>5.20</td>\n",
       "      <td>-2.12</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>ZC3H3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57796</th>\n",
       "      <td>chr8</td>\n",
       "      <td>143739371.0</td>\n",
       "      <td>143740800.0</td>\n",
       "      <td>1430.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.42</td>\n",
       "      <td>3.63</td>\n",
       "      <td>6.20</td>\n",
       "      <td>-2.56</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>FAM83H-AS1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57797</th>\n",
       "      <td>chr8</td>\n",
       "      <td>144336863.0</td>\n",
       "      <td>144338717.0</td>\n",
       "      <td>1855.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.36</td>\n",
       "      <td>3.75</td>\n",
       "      <td>7.24</td>\n",
       "      <td>-3.49</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57798</th>\n",
       "      <td>chr9</td>\n",
       "      <td>34589465.0</td>\n",
       "      <td>34590339.0</td>\n",
       "      <td>875.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.40</td>\n",
       "      <td>2.15</td>\n",
       "      <td>5.24</td>\n",
       "      <td>-3.08</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>CNTFR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57799</th>\n",
       "      <td>chr9</td>\n",
       "      <td>91948693.0</td>\n",
       "      <td>91950808.0</td>\n",
       "      <td>2116.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.30</td>\n",
       "      <td>3.51</td>\n",
       "      <td>6.08</td>\n",
       "      <td>-2.57</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>ROR2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57800</th>\n",
       "      <td>chr9</td>\n",
       "      <td>92808823.0</td>\n",
       "      <td>92809666.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.85</td>\n",
       "      <td>3.33</td>\n",
       "      <td>4.22</td>\n",
       "      <td>-0.89</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>ANKRD19P</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57801</th>\n",
       "      <td>chr9</td>\n",
       "      <td>93827576.0</td>\n",
       "      <td>93828239.0</td>\n",
       "      <td>664.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.03</td>\n",
       "      <td>3.83</td>\n",
       "      <td>5.68</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57802</th>\n",
       "      <td>chr9</td>\n",
       "      <td>113349460.0</td>\n",
       "      <td>113350018.0</td>\n",
       "      <td>559.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.10</td>\n",
       "      <td>3.29</td>\n",
       "      <td>5.87</td>\n",
       "      <td>-2.59</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>BSPRY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57803</th>\n",
       "      <td>chr9</td>\n",
       "      <td>124008352.0</td>\n",
       "      <td>124009438.0</td>\n",
       "      <td>1087.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.28</td>\n",
       "      <td>4.18</td>\n",
       "      <td>5.90</td>\n",
       "      <td>-1.72</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57804</th>\n",
       "      <td>chr9</td>\n",
       "      <td>127741669.0</td>\n",
       "      <td>127742101.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.67</td>\n",
       "      <td>2.96</td>\n",
       "      <td>4.14</td>\n",
       "      <td>-1.18</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>SH2D3C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57805</th>\n",
       "      <td>chr9</td>\n",
       "      <td>129420851.0</td>\n",
       "      <td>129422128.0</td>\n",
       "      <td>1278.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.63</td>\n",
       "      <td>2.42</td>\n",
       "      <td>5.47</td>\n",
       "      <td>-3.05</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57806</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136512112.0</td>\n",
       "      <td>136513048.0</td>\n",
       "      <td>937.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.97</td>\n",
       "      <td>1.61</td>\n",
       "      <td>4.82</td>\n",
       "      <td>-3.21</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NOTCH1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57807</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136525213.0</td>\n",
       "      <td>136530294.0</td>\n",
       "      <td>5082.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.93</td>\n",
       "      <td>5.19</td>\n",
       "      <td>7.69</td>\n",
       "      <td>-2.50</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NOTCH1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57808</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136578109.0</td>\n",
       "      <td>136579631.0</td>\n",
       "      <td>1523.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.31</td>\n",
       "      <td>3.31</td>\n",
       "      <td>6.12</td>\n",
       "      <td>-2.80</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57809</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136616447.0</td>\n",
       "      <td>136619003.0</td>\n",
       "      <td>2557.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.52</td>\n",
       "      <td>3.80</td>\n",
       "      <td>6.28</td>\n",
       "      <td>-2.48</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57810</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136628905.0</td>\n",
       "      <td>136630609.0</td>\n",
       "      <td>1705.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.38</td>\n",
       "      <td>2.60</td>\n",
       "      <td>6.27</td>\n",
       "      <td>-3.67</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57811</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136643998.0</td>\n",
       "      <td>136646147.0</td>\n",
       "      <td>2150.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.68</td>\n",
       "      <td>4.53</td>\n",
       "      <td>6.31</td>\n",
       "      <td>-1.78</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57812</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136968087.0</td>\n",
       "      <td>136970707.0</td>\n",
       "      <td>2621.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.15</td>\n",
       "      <td>2.83</td>\n",
       "      <td>6.00</td>\n",
       "      <td>-3.16</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57813</th>\n",
       "      <td>chr9</td>\n",
       "      <td>136975597.0</td>\n",
       "      <td>136979500.0</td>\n",
       "      <td>3904.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.18</td>\n",
       "      <td>5.52</td>\n",
       "      <td>7.94</td>\n",
       "      <td>-2.41</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>PTGDS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57814</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137167565.0</td>\n",
       "      <td>137170658.0</td>\n",
       "      <td>3094.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.45</td>\n",
       "      <td>4.34</td>\n",
       "      <td>8.36</td>\n",
       "      <td>-4.02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>c(\"MIR3621\", \"GRIN1\", \"LRRC26\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57815</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137236085.0</td>\n",
       "      <td>137238695.0</td>\n",
       "      <td>2611.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.42</td>\n",
       "      <td>4.43</td>\n",
       "      <td>7.22</td>\n",
       "      <td>-2.79</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>SLC34A3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57816</th>\n",
       "      <td>chr9</td>\n",
       "      <td>137452913.0</td>\n",
       "      <td>137455605.0</td>\n",
       "      <td>2693.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.52</td>\n",
       "      <td>5.61</td>\n",
       "      <td>7.08</td>\n",
       "      <td>-1.47</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NSMF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57817</th>\n",
       "      <td>chrUn_KI270467v1</td>\n",
       "      <td>1973.0</td>\n",
       "      <td>2525.0</td>\n",
       "      <td>553.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.44</td>\n",
       "      <td>3.41</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57818</th>\n",
       "      <td>chrX</td>\n",
       "      <td>136766945.0</td>\n",
       "      <td>136767928.0</td>\n",
       "      <td>984.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.34</td>\n",
       "      <td>4.35</td>\n",
       "      <td>5.92</td>\n",
       "      <td>-1.57</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>ARHGEF6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57819</th>\n",
       "      <td>chrX</td>\n",
       "      <td>150362650.0</td>\n",
       "      <td>150365889.0</td>\n",
       "      <td>3240.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.79</td>\n",
       "      <td>5.19</td>\n",
       "      <td>7.52</td>\n",
       "      <td>-2.33</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>MAMLD1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57820</th>\n",
       "      <td>chrX</td>\n",
       "      <td>153487138.0</td>\n",
       "      <td>153489516.0</td>\n",
       "      <td>2379.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.58</td>\n",
       "      <td>5.11</td>\n",
       "      <td>7.29</td>\n",
       "      <td>-2.18</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>HAUS7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>57821 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               seqnames        start          end   width strand  Conc  \\\n",
       "0                 chr17   63787578.0   63788766.0  1189.0      *  4.86   \n",
       "1                 chr10   32150901.0   32152213.0  1313.0      *  5.11   \n",
       "2                  chr1   21194669.0   21195354.0   686.0      *  4.19   \n",
       "3                 chr19   23491770.0   23492763.0   994.0      *  4.38   \n",
       "4                  chr1  164767805.0  164768469.0   665.0      *  3.93   \n",
       "5                  chr4  151637687.0  151638643.0   957.0      *  4.56   \n",
       "6                 chr11    3374798.0    3375543.0   746.0      *  3.92   \n",
       "7                 chr21   26128379.0   26128945.0   567.0      *  3.40   \n",
       "8                 chr20   63210105.0   63210635.0   531.0      *  3.35   \n",
       "9                 chr12   56442117.0   56443222.0  1106.0      *  5.12   \n",
       "10                 chr6  168272761.0  168276394.0  3634.0      *  8.30   \n",
       "11                chr18   62624571.0   62625107.0   537.0      *  4.12   \n",
       "12                 chr6   70234613.0   70235092.0   480.0      *  3.45   \n",
       "13                chr10   44910336.0   44911929.0  1594.0      *  6.27   \n",
       "14                chr13   49745439.0   49746151.0   713.0      *  3.76   \n",
       "15                 chr9   89555537.0   89557092.0  1556.0      *  5.61   \n",
       "16                chr10  110857126.0  110857664.0   539.0      *  4.75   \n",
       "17                chr17    2508302.0    2508747.0   446.0      *  3.91   \n",
       "18                chr10   87585682.0   87586148.0   467.0      *  3.20   \n",
       "19                 chr3   71049836.0   71050208.0   373.0      *  3.14   \n",
       "20                 chr5   55418814.0   55419783.0   970.0      *  4.08   \n",
       "21                 chr1   81900333.0   81901025.0   693.0      *  4.05   \n",
       "22                 chr1   21052194.0   21052566.0   373.0      *  3.29   \n",
       "23                 chr2   43898857.0   43899240.0   384.0      *  3.04   \n",
       "24                 chr4   48619400.0   48619845.0   446.0      *  3.08   \n",
       "25                 chr3  133644950.0  133645602.0   653.0      *  3.63   \n",
       "26                chr16   57198709.0   57199491.0   783.0      *  3.58   \n",
       "27                chr15   71295963.0   71296717.0   755.0      *  4.09   \n",
       "28                chr17   63788875.0   63789252.0   378.0      *  3.21   \n",
       "29                 chr1   21054510.0   21060542.0  6033.0      *  7.72   \n",
       "...                 ...          ...          ...     ...    ...   ...   \n",
       "57791              chr8   66961128.0   66963430.0  2303.0      *  6.52   \n",
       "57792              chr8   96160324.0   96161522.0  1199.0      *  5.82   \n",
       "57793              chr8  141366117.0  141367569.0  1453.0      *  4.33   \n",
       "57794              chr8  143428836.0  143430044.0  1209.0      *  5.58   \n",
       "57795              chr8  143512363.0  143513499.0  1137.0      *  4.50   \n",
       "57796              chr8  143739371.0  143740800.0  1430.0      *  5.42   \n",
       "57797              chr8  144336863.0  144338717.0  1855.0      *  6.36   \n",
       "57798              chr9   34589465.0   34590339.0   875.0      *  4.40   \n",
       "57799              chr9   91948693.0   91950808.0  2116.0      *  5.30   \n",
       "57800              chr9   92808823.0   92809666.0   844.0      *  3.85   \n",
       "57801              chr9   93827576.0   93828239.0   664.0      *  5.03   \n",
       "57802              chr9  113349460.0  113350018.0   559.0      *  5.10   \n",
       "57803              chr9  124008352.0  124009438.0  1087.0      *  5.28   \n",
       "57804              chr9  127741669.0  127742101.0   433.0      *  3.67   \n",
       "57805              chr9  129420851.0  129422128.0  1278.0      *  4.63   \n",
       "57806              chr9  136512112.0  136513048.0   937.0      *  3.97   \n",
       "57807              chr9  136525213.0  136530294.0  5082.0      *  6.93   \n",
       "57808              chr9  136578109.0  136579631.0  1523.0      *  5.31   \n",
       "57809              chr9  136616447.0  136619003.0  2557.0      *  5.52   \n",
       "57810              chr9  136628905.0  136630609.0  1705.0      *  5.38   \n",
       "57811              chr9  136643998.0  136646147.0  2150.0      *  5.68   \n",
       "57812              chr9  136968087.0  136970707.0  2621.0      *  5.15   \n",
       "57813              chr9  136975597.0  136979500.0  3904.0      *  7.18   \n",
       "57814              chr9  137167565.0  137170658.0  3094.0      *  7.45   \n",
       "57815              chr9  137236085.0  137238695.0  2611.0      *  6.42   \n",
       "57816              chr9  137452913.0  137455605.0  2693.0      *  6.52   \n",
       "57817  chrUn_KI270467v1       1973.0       2525.0   553.0      *  4.02   \n",
       "57818              chrX  136766945.0  136767928.0   984.0      *  5.34   \n",
       "57819              chrX  150362650.0  150365889.0  3240.0      *  6.79   \n",
       "57820              chrX  153487138.0  153489516.0  2379.0      *  6.58   \n",
       "\n",
       "       Conc_GT  Conc_DMSO  Fold       p.value       FDR  \\\n",
       "0         5.83       0.23  5.60  9.080000e-11  0.000005   \n",
       "1         6.06       1.05  5.01  3.740000e-10  0.000011   \n",
       "2         5.15      -0.12  5.27  8.470000e-10  0.000016   \n",
       "3         5.32       0.63  4.69  4.990000e-09  0.000072   \n",
       "4         4.88      -0.01  4.89  6.590000e-09  0.000076   \n",
       "5         5.50       0.86  4.64  8.730000e-09  0.000084   \n",
       "6         4.87       0.08  4.79  1.380000e-08  0.000114   \n",
       "7         4.35      -0.63  4.98  2.040000e-08  0.000134   \n",
       "8         4.30      -0.63  4.93  2.100000e-08  0.000134   \n",
       "9         6.05       1.65  4.40  2.510000e-08  0.000144   \n",
       "10        6.38       9.09 -2.71  3.000000e-08  0.000144   \n",
       "11        5.06       0.45  4.61  3.010000e-08  0.000144   \n",
       "12       -0.42       4.40 -4.82  3.460000e-08  0.000153   \n",
       "13        3.64       7.15 -3.50  5.220000e-08  0.000197   \n",
       "14        4.71       0.08  4.63  5.270000e-08  0.000197   \n",
       "15        2.49       6.52 -4.03  5.470000e-08  0.000197   \n",
       "16        5.67       1.43  4.24  6.650000e-08  0.000214   \n",
       "17        4.84       0.53  4.31  6.920000e-08  0.000214   \n",
       "18        4.15      -0.63  4.78  7.050000e-08  0.000214   \n",
       "19        4.08      -0.63  4.71  8.020000e-08  0.000231   \n",
       "20        5.01       0.70  4.31  9.150000e-08  0.000247   \n",
       "21        4.98       0.75  4.23  9.430000e-08  0.000247   \n",
       "22        4.23      -0.35  4.58  1.090000e-07  0.000272   \n",
       "23        3.98      -0.63  4.61  1.340000e-07  0.000321   \n",
       "24        4.03      -0.63  4.66  1.430000e-07  0.000328   \n",
       "25        4.56       0.30  4.26  1.500000e-07  0.000332   \n",
       "26        4.52      -0.01  4.53  1.700000e-07  0.000354   \n",
       "27        5.01       0.92  4.09  1.790000e-07  0.000354   \n",
       "28        4.14      -0.29  4.43  1.800000e-07  0.000354   \n",
       "29        8.62       4.76  3.86  1.850000e-07  0.000354   \n",
       "...        ...        ...   ...           ...       ...   \n",
       "57791     4.80       7.28 -2.48  1.000000e+00  1.000000   \n",
       "57792     5.03       6.32 -1.29  1.000000e+00  1.000000   \n",
       "57793     1.80       5.20 -3.39  1.000000e+00  1.000000   \n",
       "57794     4.06       6.31 -2.25  1.000000e+00  1.000000   \n",
       "57795     3.09       5.20 -2.12  1.000000e+00  1.000000   \n",
       "57796     3.63       6.20 -2.56  1.000000e+00  1.000000   \n",
       "57797     3.75       7.24 -3.49  1.000000e+00  1.000000   \n",
       "57798     2.15       5.24 -3.08  1.000000e+00  1.000000   \n",
       "57799     3.51       6.08 -2.57  1.000000e+00  1.000000   \n",
       "57800     3.33       4.22 -0.89  1.000000e+00  1.000000   \n",
       "57801     3.83       5.68 -1.85  1.000000e+00  1.000000   \n",
       "57802     3.29       5.87 -2.59  1.000000e+00  1.000000   \n",
       "57803     4.18       5.90 -1.72  1.000000e+00  1.000000   \n",
       "57804     2.96       4.14 -1.18  1.000000e+00  1.000000   \n",
       "57805     2.42       5.47 -3.05  1.000000e+00  1.000000   \n",
       "57806     1.61       4.82 -3.21  1.000000e+00  1.000000   \n",
       "57807     5.19       7.69 -2.50  1.000000e+00  1.000000   \n",
       "57808     3.31       6.12 -2.80  1.000000e+00  1.000000   \n",
       "57809     3.80       6.28 -2.48  1.000000e+00  1.000000   \n",
       "57810     2.60       6.27 -3.67  1.000000e+00  1.000000   \n",
       "57811     4.53       6.31 -1.78  1.000000e+00  1.000000   \n",
       "57812     2.83       6.00 -3.16  1.000000e+00  1.000000   \n",
       "57813     5.52       7.94 -2.41  1.000000e+00  1.000000   \n",
       "57814     4.34       8.36 -4.02  1.000000e+00  1.000000   \n",
       "57815     4.43       7.22 -2.79  1.000000e+00  1.000000   \n",
       "57816     5.61       7.08 -1.47  1.000000e+00  1.000000   \n",
       "57817     4.44       3.41  1.03  1.000000e+00  1.000000   \n",
       "57818     4.35       5.92 -1.57  1.000000e+00  1.000000   \n",
       "57819     5.19       7.52 -2.33  1.000000e+00  1.000000   \n",
       "57820     5.11       7.29 -2.18  1.000000e+00  1.000000   \n",
       "\n",
       "                                SYMBOL  \n",
       "0                                DDX42  \n",
       "1                         character(0)  \n",
       "2                         character(0)  \n",
       "3                         character(0)  \n",
       "4                                 PBX1  \n",
       "5                             FAM160A1  \n",
       "6                               ZNF195  \n",
       "7                                  APP  \n",
       "8                               YTHDF1  \n",
       "9                             TIMELESS  \n",
       "10                        character(0)  \n",
       "11                        character(0)  \n",
       "12                              COL9A1  \n",
       "13           c(\"TMEM72-AS1\", \"TMEM72\")  \n",
       "14                               KPNA3  \n",
       "15                        character(0)  \n",
       "16                        character(0)  \n",
       "17                             METTL16  \n",
       "18                        character(0)  \n",
       "19                               FOXP1  \n",
       "20                             SKIV2L2  \n",
       "21                              ADGRL2  \n",
       "22                              EIF4G3  \n",
       "23                              LRPPRC  \n",
       "24                                FRYL  \n",
       "25                              TOPBP1  \n",
       "26                              RSPRY1  \n",
       "27                               THSD4  \n",
       "28                               DDX42  \n",
       "29                              EIF4G3  \n",
       "...                                ...  \n",
       "57791                            TCF24  \n",
       "57792                             GDF6  \n",
       "57793                            GPR20  \n",
       "57794                             MAFA  \n",
       "57795                            ZC3H3  \n",
       "57796                       FAM83H-AS1  \n",
       "57797                     character(0)  \n",
       "57798                            CNTFR  \n",
       "57799                             ROR2  \n",
       "57800                         ANKRD19P  \n",
       "57801                     character(0)  \n",
       "57802                            BSPRY  \n",
       "57803                     character(0)  \n",
       "57804                           SH2D3C  \n",
       "57805                     character(0)  \n",
       "57806                           NOTCH1  \n",
       "57807                           NOTCH1  \n",
       "57808                     character(0)  \n",
       "57809                     character(0)  \n",
       "57810                     character(0)  \n",
       "57811                     character(0)  \n",
       "57812                     character(0)  \n",
       "57813                            PTGDS  \n",
       "57814  c(\"MIR3621\", \"GRIN1\", \"LRRC26\")  \n",
       "57815                          SLC34A3  \n",
       "57816                             NSMF  \n",
       "57817                     character(0)  \n",
       "57818                          ARHGEF6  \n",
       "57819                           MAMLD1  \n",
       "57820                            HAUS7  \n",
       "\n",
       "[57821 rows x 12 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/GT_DMSO.H3K27Ac.diffBind.txt', \n",
    "            sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### GT vs THZ531"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load ImageMagick\n",
    "convert /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_THZ531.H3K27Ac.diffBind_MA.pdf /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_THZ531.H3K27Ac.diffBind_MA.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_THZ531.H3K27Ac.diffBind_MA.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqnames</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>width</th>\n",
       "      <th>strand</th>\n",
       "      <th>Conc</th>\n",
       "      <th>Conc_GT</th>\n",
       "      <th>Conc_THZ531</th>\n",
       "      <th>Fold</th>\n",
       "      <th>p.value</th>\n",
       "      <th>FDR</th>\n",
       "      <th>SYMBOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr15</td>\n",
       "      <td>74640230.0</td>\n",
       "      <td>74645247.0</td>\n",
       "      <td>5018.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.64</td>\n",
       "      <td>9.92</td>\n",
       "      <td>9.30</td>\n",
       "      <td>0.62</td>\n",
       "      <td>1.190000e-15</td>\n",
       "      <td>3.140000e-11</td>\n",
       "      <td>EDC3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr1</td>\n",
       "      <td>34831134.0</td>\n",
       "      <td>34839127.0</td>\n",
       "      <td>7994.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.27</td>\n",
       "      <td>8.88</td>\n",
       "      <td>9.57</td>\n",
       "      <td>-0.69</td>\n",
       "      <td>1.520000e-13</td>\n",
       "      <td>2.010000e-09</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr15</td>\n",
       "      <td>74649737.0</td>\n",
       "      <td>74658416.0</td>\n",
       "      <td>8680.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.35</td>\n",
       "      <td>10.57</td>\n",
       "      <td>10.08</td>\n",
       "      <td>0.49</td>\n",
       "      <td>3.170000e-13</td>\n",
       "      <td>2.790000e-09</td>\n",
       "      <td>EDC3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr1</td>\n",
       "      <td>23550161.0</td>\n",
       "      <td>23569885.0</td>\n",
       "      <td>19725.0</td>\n",
       "      <td>*</td>\n",
       "      <td>11.78</td>\n",
       "      <td>11.58</td>\n",
       "      <td>11.96</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>2.740000e-11</td>\n",
       "      <td>1.810000e-07</td>\n",
       "      <td>ID3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr6</td>\n",
       "      <td>19801049.0</td>\n",
       "      <td>19807699.0</td>\n",
       "      <td>6651.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.67</td>\n",
       "      <td>9.39</td>\n",
       "      <td>9.90</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>1.320000e-10</td>\n",
       "      <td>6.960000e-07</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr20</td>\n",
       "      <td>31600575.0</td>\n",
       "      <td>31613553.0</td>\n",
       "      <td>12979.0</td>\n",
       "      <td>*</td>\n",
       "      <td>11.39</td>\n",
       "      <td>11.18</td>\n",
       "      <td>11.58</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>1.820000e-10</td>\n",
       "      <td>8.030000e-07</td>\n",
       "      <td>c(\"MIR3193\", \"ID1\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chr1</td>\n",
       "      <td>34786681.0</td>\n",
       "      <td>34798153.0</td>\n",
       "      <td>11473.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.47</td>\n",
       "      <td>9.17</td>\n",
       "      <td>9.71</td>\n",
       "      <td>-0.55</td>\n",
       "      <td>9.160000e-10</td>\n",
       "      <td>3.460000e-06</td>\n",
       "      <td>GJA4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chr13</td>\n",
       "      <td>59205969.0</td>\n",
       "      <td>59214259.0</td>\n",
       "      <td>8291.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.89</td>\n",
       "      <td>9.65</td>\n",
       "      <td>10.09</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>2.150000e-09</td>\n",
       "      <td>6.590000e-06</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chr1</td>\n",
       "      <td>34824149.0</td>\n",
       "      <td>34828400.0</td>\n",
       "      <td>4252.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.69</td>\n",
       "      <td>7.20</td>\n",
       "      <td>8.06</td>\n",
       "      <td>-0.86</td>\n",
       "      <td>2.250000e-09</td>\n",
       "      <td>6.590000e-06</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chr1</td>\n",
       "      <td>47692705.0</td>\n",
       "      <td>47700579.0</td>\n",
       "      <td>7875.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.65</td>\n",
       "      <td>9.40</td>\n",
       "      <td>9.86</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>3.520000e-09</td>\n",
       "      <td>9.300000e-06</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>chr20</td>\n",
       "      <td>31590370.0</td>\n",
       "      <td>31600234.0</td>\n",
       "      <td>9865.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.63</td>\n",
       "      <td>10.40</td>\n",
       "      <td>10.83</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>6.380000e-09</td>\n",
       "      <td>1.530000e-05</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>chr9</td>\n",
       "      <td>87598479.0</td>\n",
       "      <td>87603505.0</td>\n",
       "      <td>5027.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.83</td>\n",
       "      <td>10.04</td>\n",
       "      <td>9.58</td>\n",
       "      <td>0.46</td>\n",
       "      <td>1.010000e-08</td>\n",
       "      <td>2.240000e-05</td>\n",
       "      <td>DAPK1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>chr1</td>\n",
       "      <td>26348961.0</td>\n",
       "      <td>26355282.0</td>\n",
       "      <td>6322.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.77</td>\n",
       "      <td>9.53</td>\n",
       "      <td>9.98</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>1.220000e-08</td>\n",
       "      <td>2.490000e-05</td>\n",
       "      <td>AIM1L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>chr15</td>\n",
       "      <td>74729836.0</td>\n",
       "      <td>74733198.0</td>\n",
       "      <td>3363.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.62</td>\n",
       "      <td>8.90</td>\n",
       "      <td>8.28</td>\n",
       "      <td>0.62</td>\n",
       "      <td>1.480000e-08</td>\n",
       "      <td>2.800000e-05</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chr5</td>\n",
       "      <td>150592574.0</td>\n",
       "      <td>150598560.0</td>\n",
       "      <td>5987.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.14</td>\n",
       "      <td>8.87</td>\n",
       "      <td>9.37</td>\n",
       "      <td>-0.50</td>\n",
       "      <td>1.850000e-08</td>\n",
       "      <td>3.270000e-05</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chr22</td>\n",
       "      <td>23509462.0</td>\n",
       "      <td>23540105.0</td>\n",
       "      <td>30644.0</td>\n",
       "      <td>*</td>\n",
       "      <td>13.00</td>\n",
       "      <td>12.80</td>\n",
       "      <td>13.18</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>2.030000e-08</td>\n",
       "      <td>3.360000e-05</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chr15</td>\n",
       "      <td>74646177.0</td>\n",
       "      <td>74649039.0</td>\n",
       "      <td>2863.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.45</td>\n",
       "      <td>8.73</td>\n",
       "      <td>8.11</td>\n",
       "      <td>0.63</td>\n",
       "      <td>2.310000e-08</td>\n",
       "      <td>3.600000e-05</td>\n",
       "      <td>EDC3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chr20</td>\n",
       "      <td>31565501.0</td>\n",
       "      <td>31577900.0</td>\n",
       "      <td>12400.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.90</td>\n",
       "      <td>10.70</td>\n",
       "      <td>11.07</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>3.140000e-08</td>\n",
       "      <td>4.600000e-05</td>\n",
       "      <td>c(\"HM13-AS1\", \"HM13\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>chr7</td>\n",
       "      <td>37641233.0</td>\n",
       "      <td>37646160.0</td>\n",
       "      <td>4928.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.72</td>\n",
       "      <td>8.40</td>\n",
       "      <td>8.98</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>5.780000e-08</td>\n",
       "      <td>8.040000e-05</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>chrX</td>\n",
       "      <td>133262986.0</td>\n",
       "      <td>133270439.0</td>\n",
       "      <td>7454.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.25</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.42</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>7.630000e-08</td>\n",
       "      <td>1.010000e-04</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>chr1</td>\n",
       "      <td>23544947.0</td>\n",
       "      <td>23550006.0</td>\n",
       "      <td>5060.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.89</td>\n",
       "      <td>7.44</td>\n",
       "      <td>8.23</td>\n",
       "      <td>-0.79</td>\n",
       "      <td>8.690000e-08</td>\n",
       "      <td>1.060000e-04</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>chr7</td>\n",
       "      <td>130378500.0</td>\n",
       "      <td>130382131.0</td>\n",
       "      <td>3632.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.55</td>\n",
       "      <td>8.23</td>\n",
       "      <td>8.80</td>\n",
       "      <td>-0.57</td>\n",
       "      <td>8.920000e-08</td>\n",
       "      <td>1.060000e-04</td>\n",
       "      <td>CPA1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>chr17</td>\n",
       "      <td>50658300.0</td>\n",
       "      <td>50663946.0</td>\n",
       "      <td>5647.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.87</td>\n",
       "      <td>8.60</td>\n",
       "      <td>9.10</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>9.220000e-08</td>\n",
       "      <td>1.060000e-04</td>\n",
       "      <td>ABCC3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>chr15</td>\n",
       "      <td>74723510.0</td>\n",
       "      <td>74729065.0</td>\n",
       "      <td>5556.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.31</td>\n",
       "      <td>9.90</td>\n",
       "      <td>0.41</td>\n",
       "      <td>9.820000e-08</td>\n",
       "      <td>1.080000e-04</td>\n",
       "      <td>CYP1A1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>chr15</td>\n",
       "      <td>74767338.0</td>\n",
       "      <td>74769395.0</td>\n",
       "      <td>2058.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.16</td>\n",
       "      <td>8.44</td>\n",
       "      <td>7.81</td>\n",
       "      <td>0.63</td>\n",
       "      <td>1.250000e-07</td>\n",
       "      <td>1.320000e-04</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>chr11</td>\n",
       "      <td>69418552.0</td>\n",
       "      <td>69421951.0</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.93</td>\n",
       "      <td>8.67</td>\n",
       "      <td>9.16</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>1.780000e-07</td>\n",
       "      <td>1.810000e-04</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>chr18</td>\n",
       "      <td>7615963.0</td>\n",
       "      <td>7619822.0</td>\n",
       "      <td>3860.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.16</td>\n",
       "      <td>9.39</td>\n",
       "      <td>8.88</td>\n",
       "      <td>0.52</td>\n",
       "      <td>2.490000e-07</td>\n",
       "      <td>2.440000e-04</td>\n",
       "      <td>PTPRM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>chr1</td>\n",
       "      <td>98048678.0</td>\n",
       "      <td>98056033.0</td>\n",
       "      <td>7356.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.45</td>\n",
       "      <td>9.23</td>\n",
       "      <td>9.64</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>2.630000e-07</td>\n",
       "      <td>2.480000e-04</td>\n",
       "      <td>MIR137HG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>chr19</td>\n",
       "      <td>44720071.0</td>\n",
       "      <td>44724680.0</td>\n",
       "      <td>4610.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.24</td>\n",
       "      <td>9.02</td>\n",
       "      <td>9.44</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>3.540000e-07</td>\n",
       "      <td>3.230000e-04</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chr15</td>\n",
       "      <td>35285952.0</td>\n",
       "      <td>35295796.0</td>\n",
       "      <td>9845.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.44</td>\n",
       "      <td>10.24</td>\n",
       "      <td>10.62</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>4.000000e-07</td>\n",
       "      <td>3.520000e-04</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57791</th>\n",
       "      <td>chr1</td>\n",
       "      <td>89127995.0</td>\n",
       "      <td>89128653.0</td>\n",
       "      <td>659.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>GBP2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57792</th>\n",
       "      <td>chr9</td>\n",
       "      <td>129752252.0</td>\n",
       "      <td>129753566.0</td>\n",
       "      <td>1315.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.21</td>\n",
       "      <td>6.21</td>\n",
       "      <td>6.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>PTGES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57793</th>\n",
       "      <td>chr6</td>\n",
       "      <td>36984644.0</td>\n",
       "      <td>36987499.0</td>\n",
       "      <td>2856.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.11</td>\n",
       "      <td>10.11</td>\n",
       "      <td>10.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>MTCH1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57794</th>\n",
       "      <td>chr19</td>\n",
       "      <td>30669137.0</td>\n",
       "      <td>30669598.0</td>\n",
       "      <td>462.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.26</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57795</th>\n",
       "      <td>chr16</td>\n",
       "      <td>74774155.0</td>\n",
       "      <td>74775174.0</td>\n",
       "      <td>1020.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.02</td>\n",
       "      <td>5.02</td>\n",
       "      <td>5.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>FA2H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57796</th>\n",
       "      <td>chr22</td>\n",
       "      <td>40513748.0</td>\n",
       "      <td>40514296.0</td>\n",
       "      <td>549.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.77</td>\n",
       "      <td>5.77</td>\n",
       "      <td>5.77</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>MKL1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57797</th>\n",
       "      <td>chr12</td>\n",
       "      <td>110591201.0</td>\n",
       "      <td>110592581.0</td>\n",
       "      <td>1381.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.86</td>\n",
       "      <td>5.87</td>\n",
       "      <td>5.86</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57798</th>\n",
       "      <td>chr9</td>\n",
       "      <td>78289789.0</td>\n",
       "      <td>78290658.0</td>\n",
       "      <td>870.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.70</td>\n",
       "      <td>5.70</td>\n",
       "      <td>5.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57799</th>\n",
       "      <td>chr17</td>\n",
       "      <td>21322521.0</td>\n",
       "      <td>21323134.0</td>\n",
       "      <td>614.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.14</td>\n",
       "      <td>6.14</td>\n",
       "      <td>6.13</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57800</th>\n",
       "      <td>chr16</td>\n",
       "      <td>74665375.0</td>\n",
       "      <td>74667010.0</td>\n",
       "      <td>1636.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.16</td>\n",
       "      <td>9.16</td>\n",
       "      <td>9.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>RFWD3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57801</th>\n",
       "      <td>chr15</td>\n",
       "      <td>35018108.0</td>\n",
       "      <td>35018687.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.86</td>\n",
       "      <td>4.86</td>\n",
       "      <td>4.86</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57802</th>\n",
       "      <td>chr20</td>\n",
       "      <td>34069660.0</td>\n",
       "      <td>34069953.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.65</td>\n",
       "      <td>3.66</td>\n",
       "      <td>3.65</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>RALY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57803</th>\n",
       "      <td>chr14</td>\n",
       "      <td>23033300.0</td>\n",
       "      <td>23036129.0</td>\n",
       "      <td>2830.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.95</td>\n",
       "      <td>9.95</td>\n",
       "      <td>9.95</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>PSMB5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57804</th>\n",
       "      <td>chr7</td>\n",
       "      <td>47495014.0</td>\n",
       "      <td>47496043.0</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.63</td>\n",
       "      <td>5.64</td>\n",
       "      <td>5.63</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>TNS3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57805</th>\n",
       "      <td>chr5</td>\n",
       "      <td>149804497.0</td>\n",
       "      <td>149805184.0</td>\n",
       "      <td>688.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.90</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>PPARGC1B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57806</th>\n",
       "      <td>chr9</td>\n",
       "      <td>128828529.0</td>\n",
       "      <td>128830339.0</td>\n",
       "      <td>1811.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.93</td>\n",
       "      <td>8.92</td>\n",
       "      <td>8.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>SPOUT1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57807</th>\n",
       "      <td>chr1</td>\n",
       "      <td>153725691.0</td>\n",
       "      <td>153729677.0</td>\n",
       "      <td>3987.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.82</td>\n",
       "      <td>9.82</td>\n",
       "      <td>9.82</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>INTS3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57808</th>\n",
       "      <td>chr3</td>\n",
       "      <td>30893662.0</td>\n",
       "      <td>30895448.0</td>\n",
       "      <td>1787.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.26</td>\n",
       "      <td>7.26</td>\n",
       "      <td>7.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>GADL1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57809</th>\n",
       "      <td>chr12</td>\n",
       "      <td>120302287.0</td>\n",
       "      <td>120303129.0</td>\n",
       "      <td>843.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.23</td>\n",
       "      <td>7.23</td>\n",
       "      <td>7.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>SIRT4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57810</th>\n",
       "      <td>chr1</td>\n",
       "      <td>150567157.0</td>\n",
       "      <td>150569646.0</td>\n",
       "      <td>2490.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.95</td>\n",
       "      <td>6.95</td>\n",
       "      <td>6.95</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57811</th>\n",
       "      <td>chr6</td>\n",
       "      <td>26170949.0</td>\n",
       "      <td>26174110.0</td>\n",
       "      <td>3162.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.71</td>\n",
       "      <td>9.71</td>\n",
       "      <td>9.71</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>HIST1H2BD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57812</th>\n",
       "      <td>chr2</td>\n",
       "      <td>213234678.0</td>\n",
       "      <td>213235307.0</td>\n",
       "      <td>630.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.32</td>\n",
       "      <td>5.32</td>\n",
       "      <td>5.32</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57813</th>\n",
       "      <td>chr17</td>\n",
       "      <td>37444532.0</td>\n",
       "      <td>37444966.0</td>\n",
       "      <td>435.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.56</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>TADA2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57814</th>\n",
       "      <td>chr9</td>\n",
       "      <td>35756446.0</td>\n",
       "      <td>35757789.0</td>\n",
       "      <td>1344.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.14</td>\n",
       "      <td>6.14</td>\n",
       "      <td>6.14</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57815</th>\n",
       "      <td>chr17</td>\n",
       "      <td>47099374.0</td>\n",
       "      <td>47100806.0</td>\n",
       "      <td>1433.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.49</td>\n",
       "      <td>8.49</td>\n",
       "      <td>8.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57816</th>\n",
       "      <td>chr5</td>\n",
       "      <td>160022095.0</td>\n",
       "      <td>160022812.0</td>\n",
       "      <td>718.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.85</td>\n",
       "      <td>5.85</td>\n",
       "      <td>5.84</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>TTC1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57817</th>\n",
       "      <td>chr1</td>\n",
       "      <td>169998859.0</td>\n",
       "      <td>169999180.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.24</td>\n",
       "      <td>4.24</td>\n",
       "      <td>4.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>KIFAP3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57818</th>\n",
       "      <td>chr3</td>\n",
       "      <td>118506286.0</td>\n",
       "      <td>118506878.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.78</td>\n",
       "      <td>4.77</td>\n",
       "      <td>4.78</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57819</th>\n",
       "      <td>chr4</td>\n",
       "      <td>95247785.0</td>\n",
       "      <td>95248386.0</td>\n",
       "      <td>602.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.06</td>\n",
       "      <td>5.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>UNC5C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57820</th>\n",
       "      <td>chr5</td>\n",
       "      <td>307940.0</td>\n",
       "      <td>308515.0</td>\n",
       "      <td>576.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.09</td>\n",
       "      <td>4.10</td>\n",
       "      <td>4.08</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>c(\"PDCD6\", \"AHRR\")</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>57821 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      seqnames        start          end    width strand   Conc  Conc_GT  \\\n",
       "0        chr15   74640230.0   74645247.0   5018.0      *   9.64     9.92   \n",
       "1         chr1   34831134.0   34839127.0   7994.0      *   9.27     8.88   \n",
       "2        chr15   74649737.0   74658416.0   8680.0      *  10.35    10.57   \n",
       "3         chr1   23550161.0   23569885.0  19725.0      *  11.78    11.58   \n",
       "4         chr6   19801049.0   19807699.0   6651.0      *   9.67     9.39   \n",
       "5        chr20   31600575.0   31613553.0  12979.0      *  11.39    11.18   \n",
       "6         chr1   34786681.0   34798153.0  11473.0      *   9.47     9.17   \n",
       "7        chr13   59205969.0   59214259.0   8291.0      *   9.89     9.65   \n",
       "8         chr1   34824149.0   34828400.0   4252.0      *   7.69     7.20   \n",
       "9         chr1   47692705.0   47700579.0   7875.0      *   9.65     9.40   \n",
       "10       chr20   31590370.0   31600234.0   9865.0      *  10.63    10.40   \n",
       "11        chr9   87598479.0   87603505.0   5027.0      *   9.83    10.04   \n",
       "12        chr1   26348961.0   26355282.0   6322.0      *   9.77     9.53   \n",
       "13       chr15   74729836.0   74733198.0   3363.0      *   8.62     8.90   \n",
       "14        chr5  150592574.0  150598560.0   5987.0      *   9.14     8.87   \n",
       "15       chr22   23509462.0   23540105.0  30644.0      *  13.00    12.80   \n",
       "16       chr15   74646177.0   74649039.0   2863.0      *   8.45     8.73   \n",
       "17       chr20   31565501.0   31577900.0  12400.0      *  10.90    10.70   \n",
       "18        chr7   37641233.0   37646160.0   4928.0      *   8.72     8.40   \n",
       "19        chrX  133262986.0  133270439.0   7454.0      *  10.25    10.05   \n",
       "20        chr1   23544947.0   23550006.0   5060.0      *   7.89     7.44   \n",
       "21        chr7  130378500.0  130382131.0   3632.0      *   8.55     8.23   \n",
       "22       chr17   50658300.0   50663946.0   5647.0      *   8.87     8.60   \n",
       "23       chr15   74723510.0   74729065.0   5556.0      *  10.12    10.31   \n",
       "24       chr15   74767338.0   74769395.0   2058.0      *   8.16     8.44   \n",
       "25       chr11   69418552.0   69421951.0   3400.0      *   8.93     8.67   \n",
       "26       chr18    7615963.0    7619822.0   3860.0      *   9.16     9.39   \n",
       "27        chr1   98048678.0   98056033.0   7356.0      *   9.45     9.23   \n",
       "28       chr19   44720071.0   44724680.0   4610.0      *   9.24     9.02   \n",
       "29       chr15   35285952.0   35295796.0   9845.0      *  10.44    10.24   \n",
       "...        ...          ...          ...      ...    ...    ...      ...   \n",
       "57791     chr1   89127995.0   89128653.0    659.0      *   4.05     4.05   \n",
       "57792     chr9  129752252.0  129753566.0   1315.0      *   6.21     6.21   \n",
       "57793     chr6   36984644.0   36987499.0   2856.0      *  10.11    10.11   \n",
       "57794    chr19   30669137.0   30669598.0    462.0      *   4.27     4.28   \n",
       "57795    chr16   74774155.0   74775174.0   1020.0      *   5.02     5.02   \n",
       "57796    chr22   40513748.0   40514296.0    549.0      *   5.77     5.77   \n",
       "57797    chr12  110591201.0  110592581.0   1381.0      *   5.86     5.87   \n",
       "57798     chr9   78289789.0   78290658.0    870.0      *   5.70     5.70   \n",
       "57799    chr17   21322521.0   21323134.0    614.0      *   6.14     6.14   \n",
       "57800    chr16   74665375.0   74667010.0   1636.0      *   9.16     9.16   \n",
       "57801    chr15   35018108.0   35018687.0    580.0      *   4.86     4.86   \n",
       "57802    chr20   34069660.0   34069953.0    294.0      *   3.65     3.66   \n",
       "57803    chr14   23033300.0   23036129.0   2830.0      *   9.95     9.95   \n",
       "57804     chr7   47495014.0   47496043.0   1030.0      *   5.63     5.64   \n",
       "57805     chr5  149804497.0  149805184.0    688.0      *   3.91     3.91   \n",
       "57806     chr9  128828529.0  128830339.0   1811.0      *   8.93     8.92   \n",
       "57807     chr1  153725691.0  153729677.0   3987.0      *   9.82     9.82   \n",
       "57808     chr3   30893662.0   30895448.0   1787.0      *   7.26     7.26   \n",
       "57809    chr12  120302287.0  120303129.0    843.0      *   7.23     7.23   \n",
       "57810     chr1  150567157.0  150569646.0   2490.0      *   6.95     6.95   \n",
       "57811     chr6   26170949.0   26174110.0   3162.0      *   9.71     9.71   \n",
       "57812     chr2  213234678.0  213235307.0    630.0      *   5.32     5.32   \n",
       "57813    chr17   37444532.0   37444966.0    435.0      *   4.56     4.57   \n",
       "57814     chr9   35756446.0   35757789.0   1344.0      *   6.14     6.14   \n",
       "57815    chr17   47099374.0   47100806.0   1433.0      *   8.49     8.49   \n",
       "57816     chr5  160022095.0  160022812.0    718.0      *   5.85     5.85   \n",
       "57817     chr1  169998859.0  169999180.0    322.0      *   4.24     4.24   \n",
       "57818     chr3  118506286.0  118506878.0    593.0      *   4.78     4.77   \n",
       "57819     chr4   95247785.0   95248386.0    602.0      *   5.05     5.06   \n",
       "57820     chr5     307940.0     308515.0    576.0      *   4.09     4.10   \n",
       "\n",
       "       Conc_THZ531  Fold       p.value           FDR                 SYMBOL  \n",
       "0             9.30  0.62  1.190000e-15  3.140000e-11                   EDC3  \n",
       "1             9.57 -0.69  1.520000e-13  2.010000e-09           character(0)  \n",
       "2            10.08  0.49  3.170000e-13  2.790000e-09                   EDC3  \n",
       "3            11.96 -0.38  2.740000e-11  1.810000e-07                    ID3  \n",
       "4             9.90 -0.51  1.320000e-10  6.960000e-07           character(0)  \n",
       "5            11.58 -0.40  1.820000e-10  8.030000e-07    c(\"MIR3193\", \"ID1\")  \n",
       "6             9.71 -0.55  9.160000e-10  3.460000e-06                   GJA4  \n",
       "7            10.09 -0.45  2.150000e-09  6.590000e-06           character(0)  \n",
       "8             8.06 -0.86  2.250000e-09  6.590000e-06           character(0)  \n",
       "9             9.86 -0.46  3.520000e-09  9.300000e-06           character(0)  \n",
       "10           10.83 -0.43  6.380000e-09  1.530000e-05           character(0)  \n",
       "11            9.58  0.46  1.010000e-08  2.240000e-05                  DAPK1  \n",
       "12            9.98 -0.45  1.220000e-08  2.490000e-05                  AIM1L  \n",
       "13            8.28  0.62  1.480000e-08  2.800000e-05           character(0)  \n",
       "14            9.37 -0.50  1.850000e-08  3.270000e-05           character(0)  \n",
       "15           13.18 -0.38  2.030000e-08  3.360000e-05           character(0)  \n",
       "16            8.11  0.63  2.310000e-08  3.600000e-05                   EDC3  \n",
       "17           11.07 -0.37  3.140000e-08  4.600000e-05  c(\"HM13-AS1\", \"HM13\")  \n",
       "18            8.98 -0.57  5.780000e-08  8.040000e-05           character(0)  \n",
       "19           10.42 -0.37  7.630000e-08  1.010000e-04           character(0)  \n",
       "20            8.23 -0.79  8.690000e-08  1.060000e-04           character(0)  \n",
       "21            8.80 -0.57  8.920000e-08  1.060000e-04                   CPA1  \n",
       "22            9.10 -0.51  9.220000e-08  1.060000e-04                  ABCC3  \n",
       "23            9.90  0.41  9.820000e-08  1.080000e-04                 CYP1A1  \n",
       "24            7.81  0.63  1.250000e-07  1.320000e-04           character(0)  \n",
       "25            9.16 -0.48  1.780000e-07  1.810000e-04           character(0)  \n",
       "26            8.88  0.52  2.490000e-07  2.440000e-04                  PTPRM  \n",
       "27            9.64 -0.41  2.630000e-07  2.480000e-04               MIR137HG  \n",
       "28            9.44 -0.42  3.540000e-07  3.230000e-04           character(0)  \n",
       "29           10.62 -0.38  4.000000e-07  3.520000e-04           character(0)  \n",
       "...            ...   ...           ...           ...                    ...  \n",
       "57791         4.05  0.00  1.000000e+00  1.000000e+00                   GBP2  \n",
       "57792         6.21  0.00  1.000000e+00  1.000000e+00                  PTGES  \n",
       "57793        10.11  0.00  1.000000e+00  1.000000e+00                  MTCH1  \n",
       "57794         4.26  0.01  1.000000e+00  1.000000e+00           character(0)  \n",
       "57795         5.02  0.00  1.000000e+00  1.000000e+00                   FA2H  \n",
       "57796         5.77  0.00  1.000000e+00  1.000000e+00                   MKL1  \n",
       "57797         5.86  0.01  1.000000e+00  1.000000e+00           character(0)  \n",
       "57798         5.70  0.00  1.000000e+00  1.000000e+00           character(0)  \n",
       "57799         6.13  0.01  1.000000e+00  1.000000e+00           character(0)  \n",
       "57800         9.16  0.00  1.000000e+00  1.000000e+00                  RFWD3  \n",
       "57801         4.86  0.00  1.000000e+00  1.000000e+00           character(0)  \n",
       "57802         3.65  0.01  1.000000e+00  1.000000e+00                   RALY  \n",
       "57803         9.95  0.00  1.000000e+00  1.000000e+00                  PSMB5  \n",
       "57804         5.63  0.01  1.000000e+00  1.000000e+00                   TNS3  \n",
       "57805         3.90  0.02  1.000000e+00  1.000000e+00               PPARGC1B  \n",
       "57806         8.93  0.00  1.000000e+00  1.000000e+00                 SPOUT1  \n",
       "57807         9.82  0.00  1.000000e+00  1.000000e+00                  INTS3  \n",
       "57808         7.26  0.00  1.000000e+00  1.000000e+00                  GADL1  \n",
       "57809         7.23  0.00  1.000000e+00  1.000000e+00                  SIRT4  \n",
       "57810         6.95  0.01  1.000000e+00  1.000000e+00           character(0)  \n",
       "57811         9.71  0.00  1.000000e+00  1.000000e+00              HIST1H2BD  \n",
       "57812         5.32  0.00  1.000000e+00  1.000000e+00           character(0)  \n",
       "57813         4.56  0.02  1.000000e+00  1.000000e+00                 TADA2A  \n",
       "57814         6.14  0.00  1.000000e+00  1.000000e+00           character(0)  \n",
       "57815         8.50  0.00  1.000000e+00  1.000000e+00           character(0)  \n",
       "57816         5.84  0.01  1.000000e+00  1.000000e+00                   TTC1  \n",
       "57817         4.24  0.00  1.000000e+00  1.000000e+00                 KIFAP3  \n",
       "57818         4.78 -0.01  1.000000e+00  1.000000e+00           character(0)  \n",
       "57819         5.05  0.01  1.000000e+00  1.000000e+00                  UNC5C  \n",
       "57820         4.08  0.02  1.000000e+00  1.000000e+00     c(\"PDCD6\", \"AHRR\")  \n",
       "\n",
       "[57821 rows x 12 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/GT_THZ531.H3K27Ac.diffBind.txt', \n",
    "            sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### GT vs Gefit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load ImageMagick\n",
    "convert /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_Gefit.H3K27Ac.diffBind_MA.pdf /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_Gefit.H3K27Ac.diffBind_MA.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/GT_Gefit.H3K27Ac.diffBind_MA.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqnames</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>width</th>\n",
       "      <th>strand</th>\n",
       "      <th>Conc</th>\n",
       "      <th>Conc_GT</th>\n",
       "      <th>Conc_Gefit</th>\n",
       "      <th>Fold</th>\n",
       "      <th>p.value</th>\n",
       "      <th>FDR</th>\n",
       "      <th>SYMBOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr9</td>\n",
       "      <td>87598479.0</td>\n",
       "      <td>87603505.0</td>\n",
       "      <td>5027.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.39</td>\n",
       "      <td>10.13</td>\n",
       "      <td>7.76</td>\n",
       "      <td>2.37</td>\n",
       "      <td>4.250000e-129</td>\n",
       "      <td>2.460000e-124</td>\n",
       "      <td>DAPK1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chr9</td>\n",
       "      <td>87566487.0</td>\n",
       "      <td>87574811.0</td>\n",
       "      <td>8325.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.86</td>\n",
       "      <td>11.40</td>\n",
       "      <td>9.99</td>\n",
       "      <td>1.41</td>\n",
       "      <td>3.740000e-124</td>\n",
       "      <td>1.080000e-119</td>\n",
       "      <td>DAPK1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr1</td>\n",
       "      <td>164645669.0</td>\n",
       "      <td>164652338.0</td>\n",
       "      <td>6670.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.63</td>\n",
       "      <td>10.27</td>\n",
       "      <td>8.45</td>\n",
       "      <td>1.82</td>\n",
       "      <td>2.890000e-103</td>\n",
       "      <td>5.570000e-99</td>\n",
       "      <td>PBX1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr1</td>\n",
       "      <td>34831134.0</td>\n",
       "      <td>34839127.0</td>\n",
       "      <td>7994.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.16</td>\n",
       "      <td>8.98</td>\n",
       "      <td>10.80</td>\n",
       "      <td>-1.83</td>\n",
       "      <td>9.920000e-103</td>\n",
       "      <td>1.430000e-98</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr12</td>\n",
       "      <td>65949302.0</td>\n",
       "      <td>65959841.0</td>\n",
       "      <td>10540.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.19</td>\n",
       "      <td>10.88</td>\n",
       "      <td>8.81</td>\n",
       "      <td>2.08</td>\n",
       "      <td>2.500000e-100</td>\n",
       "      <td>2.900000e-96</td>\n",
       "      <td>HMGA2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr12</td>\n",
       "      <td>65921391.0</td>\n",
       "      <td>65927847.0</td>\n",
       "      <td>6457.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.98</td>\n",
       "      <td>10.59</td>\n",
       "      <td>8.92</td>\n",
       "      <td>1.66</td>\n",
       "      <td>2.830000e-98</td>\n",
       "      <td>2.730000e-94</td>\n",
       "      <td>HMGA2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chr5</td>\n",
       "      <td>78925408.0</td>\n",
       "      <td>78933149.0</td>\n",
       "      <td>7742.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.63</td>\n",
       "      <td>9.08</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.370000e-95</td>\n",
       "      <td>1.130000e-91</td>\n",
       "      <td>ARSB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chr1</td>\n",
       "      <td>223758886.0</td>\n",
       "      <td>223766799.0</td>\n",
       "      <td>7914.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.97</td>\n",
       "      <td>10.59</td>\n",
       "      <td>8.83</td>\n",
       "      <td>1.76</td>\n",
       "      <td>4.590000e-95</td>\n",
       "      <td>3.320000e-91</td>\n",
       "      <td>CAPN2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chr3</td>\n",
       "      <td>42839834.0</td>\n",
       "      <td>42848103.0</td>\n",
       "      <td>8270.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.39</td>\n",
       "      <td>9.50</td>\n",
       "      <td>10.94</td>\n",
       "      <td>-1.44</td>\n",
       "      <td>3.200000e-93</td>\n",
       "      <td>2.050000e-89</td>\n",
       "      <td>ACKR2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chr2</td>\n",
       "      <td>105183149.0</td>\n",
       "      <td>105186472.0</td>\n",
       "      <td>3324.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.85</td>\n",
       "      <td>7.31</td>\n",
       "      <td>9.58</td>\n",
       "      <td>-2.27</td>\n",
       "      <td>1.010000e-92</td>\n",
       "      <td>5.810000e-89</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>chr5</td>\n",
       "      <td>5328829.0</td>\n",
       "      <td>5352638.0</td>\n",
       "      <td>23810.0</td>\n",
       "      <td>*</td>\n",
       "      <td>12.02</td>\n",
       "      <td>11.34</td>\n",
       "      <td>12.48</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>6.290000e-92</td>\n",
       "      <td>3.310000e-88</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>chr2</td>\n",
       "      <td>207890420.0</td>\n",
       "      <td>207911227.0</td>\n",
       "      <td>20808.0</td>\n",
       "      <td>*</td>\n",
       "      <td>12.10</td>\n",
       "      <td>11.52</td>\n",
       "      <td>12.51</td>\n",
       "      <td>-0.99</td>\n",
       "      <td>1.010000e-89</td>\n",
       "      <td>4.840000e-86</td>\n",
       "      <td>PLEKHM3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>chr2</td>\n",
       "      <td>160369130.0</td>\n",
       "      <td>160379326.0</td>\n",
       "      <td>10197.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.36</td>\n",
       "      <td>11.01</td>\n",
       "      <td>9.18</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2.140000e-89</td>\n",
       "      <td>9.530000e-86</td>\n",
       "      <td>RBMS1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>chr19</td>\n",
       "      <td>47149735.0</td>\n",
       "      <td>47155630.0</td>\n",
       "      <td>5896.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.75</td>\n",
       "      <td>9.47</td>\n",
       "      <td>7.28</td>\n",
       "      <td>2.18</td>\n",
       "      <td>5.920000e-85</td>\n",
       "      <td>2.450000e-81</td>\n",
       "      <td>SAE1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chr7</td>\n",
       "      <td>41129055.0</td>\n",
       "      <td>41137273.0</td>\n",
       "      <td>8219.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.53</td>\n",
       "      <td>9.58</td>\n",
       "      <td>11.10</td>\n",
       "      <td>-1.52</td>\n",
       "      <td>2.830000e-83</td>\n",
       "      <td>1.090000e-79</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chr4</td>\n",
       "      <td>188106145.0</td>\n",
       "      <td>188112839.0</td>\n",
       "      <td>6695.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.49</td>\n",
       "      <td>10.98</td>\n",
       "      <td>9.75</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.350000e-82</td>\n",
       "      <td>4.890000e-79</td>\n",
       "      <td>TRIML2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chr22</td>\n",
       "      <td>40531723.0</td>\n",
       "      <td>40536081.0</td>\n",
       "      <td>4359.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.31</td>\n",
       "      <td>10.03</td>\n",
       "      <td>7.83</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.550000e-82</td>\n",
       "      <td>1.210000e-78</td>\n",
       "      <td>MKL1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chr12</td>\n",
       "      <td>120976917.0</td>\n",
       "      <td>120985307.0</td>\n",
       "      <td>8391.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.56</td>\n",
       "      <td>9.53</td>\n",
       "      <td>11.15</td>\n",
       "      <td>-1.62</td>\n",
       "      <td>6.820000e-81</td>\n",
       "      <td>2.190000e-77</td>\n",
       "      <td>HNF1A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>chr7</td>\n",
       "      <td>21614639.0</td>\n",
       "      <td>21619946.0</td>\n",
       "      <td>5308.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.12</td>\n",
       "      <td>10.68</td>\n",
       "      <td>9.22</td>\n",
       "      <td>1.45</td>\n",
       "      <td>8.010000e-81</td>\n",
       "      <td>2.440000e-77</td>\n",
       "      <td>DNAH11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>chr22</td>\n",
       "      <td>46376342.0</td>\n",
       "      <td>46382227.0</td>\n",
       "      <td>5886.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.64</td>\n",
       "      <td>9.72</td>\n",
       "      <td>11.20</td>\n",
       "      <td>-1.48</td>\n",
       "      <td>9.020000e-80</td>\n",
       "      <td>2.610000e-76</td>\n",
       "      <td>CELSR1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>chr6</td>\n",
       "      <td>168272761.0</td>\n",
       "      <td>168276394.0</td>\n",
       "      <td>3634.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.93</td>\n",
       "      <td>7.48</td>\n",
       "      <td>9.63</td>\n",
       "      <td>-2.15</td>\n",
       "      <td>2.460000e-79</td>\n",
       "      <td>6.770000e-76</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>chr2</td>\n",
       "      <td>69794726.0</td>\n",
       "      <td>69802959.0</td>\n",
       "      <td>8234.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.77</td>\n",
       "      <td>10.36</td>\n",
       "      <td>8.74</td>\n",
       "      <td>1.62</td>\n",
       "      <td>4.750000e-79</td>\n",
       "      <td>1.250000e-75</td>\n",
       "      <td>ANXA4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>chr3</td>\n",
       "      <td>194318076.0</td>\n",
       "      <td>194323532.0</td>\n",
       "      <td>5457.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.72</td>\n",
       "      <td>8.76</td>\n",
       "      <td>10.28</td>\n",
       "      <td>-1.52</td>\n",
       "      <td>1.700000e-77</td>\n",
       "      <td>4.260000e-74</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>chr8</td>\n",
       "      <td>13100087.0</td>\n",
       "      <td>13110433.0</td>\n",
       "      <td>10347.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.46</td>\n",
       "      <td>10.99</td>\n",
       "      <td>9.63</td>\n",
       "      <td>1.37</td>\n",
       "      <td>7.090000e-77</td>\n",
       "      <td>1.710000e-73</td>\n",
       "      <td>DLC1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>chr12</td>\n",
       "      <td>120971953.0</td>\n",
       "      <td>120974584.0</td>\n",
       "      <td>2632.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.25</td>\n",
       "      <td>6.42</td>\n",
       "      <td>9.03</td>\n",
       "      <td>-2.61</td>\n",
       "      <td>7.780000e-77</td>\n",
       "      <td>1.800000e-73</td>\n",
       "      <td>HNF1A-AS1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>chr17</td>\n",
       "      <td>2498160.0</td>\n",
       "      <td>2502284.0</td>\n",
       "      <td>4125.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.40</td>\n",
       "      <td>9.23</td>\n",
       "      <td>6.24</td>\n",
       "      <td>2.99</td>\n",
       "      <td>1.860000e-76</td>\n",
       "      <td>4.140000e-73</td>\n",
       "      <td>METTL16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>chr1</td>\n",
       "      <td>214464325.0</td>\n",
       "      <td>214469866.0</td>\n",
       "      <td>5542.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.51</td>\n",
       "      <td>10.19</td>\n",
       "      <td>8.19</td>\n",
       "      <td>2.00</td>\n",
       "      <td>7.390000e-75</td>\n",
       "      <td>1.580000e-71</td>\n",
       "      <td>PTPN14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>chr17</td>\n",
       "      <td>57901124.0</td>\n",
       "      <td>57906181.0</td>\n",
       "      <td>5058.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.59</td>\n",
       "      <td>9.76</td>\n",
       "      <td>11.11</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>7.590000e-74</td>\n",
       "      <td>1.570000e-70</td>\n",
       "      <td>CUEDC1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>chr12</td>\n",
       "      <td>65932354.0</td>\n",
       "      <td>65939960.0</td>\n",
       "      <td>7607.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.51</td>\n",
       "      <td>10.11</td>\n",
       "      <td>8.43</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.540000e-73</td>\n",
       "      <td>3.070000e-70</td>\n",
       "      <td>HMGA2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chr17</td>\n",
       "      <td>27490519.0</td>\n",
       "      <td>27500353.0</td>\n",
       "      <td>9835.0</td>\n",
       "      <td>*</td>\n",
       "      <td>11.65</td>\n",
       "      <td>11.09</td>\n",
       "      <td>12.06</td>\n",
       "      <td>-0.97</td>\n",
       "      <td>5.470000e-72</td>\n",
       "      <td>1.050000e-68</td>\n",
       "      <td>KSR1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57791</th>\n",
       "      <td>chr7</td>\n",
       "      <td>16624687.0</td>\n",
       "      <td>16625150.0</td>\n",
       "      <td>464.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.86</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>ANKMY2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57792</th>\n",
       "      <td>chr1</td>\n",
       "      <td>156659581.0</td>\n",
       "      <td>156660060.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.29</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.30</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57793</th>\n",
       "      <td>chr19</td>\n",
       "      <td>40567586.0</td>\n",
       "      <td>40568191.0</td>\n",
       "      <td>606.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.69</td>\n",
       "      <td>3.70</td>\n",
       "      <td>3.69</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>SPTBN4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57794</th>\n",
       "      <td>chr7</td>\n",
       "      <td>117951890.0</td>\n",
       "      <td>117952355.0</td>\n",
       "      <td>466.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.84</td>\n",
       "      <td>3.85</td>\n",
       "      <td>3.84</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57795</th>\n",
       "      <td>chr22</td>\n",
       "      <td>50313795.0</td>\n",
       "      <td>50315350.0</td>\n",
       "      <td>1556.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.42</td>\n",
       "      <td>5.42</td>\n",
       "      <td>5.42</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>DENND6B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57796</th>\n",
       "      <td>chr17</td>\n",
       "      <td>73304079.0</td>\n",
       "      <td>73307435.0</td>\n",
       "      <td>3357.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.28</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>CDC42EP4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57797</th>\n",
       "      <td>chr18</td>\n",
       "      <td>21914964.0</td>\n",
       "      <td>21915889.0</td>\n",
       "      <td>926.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.49</td>\n",
       "      <td>6.49</td>\n",
       "      <td>6.49</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57798</th>\n",
       "      <td>chr9</td>\n",
       "      <td>8727299.0</td>\n",
       "      <td>8727538.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.73</td>\n",
       "      <td>3.74</td>\n",
       "      <td>3.73</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>PTPRD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57799</th>\n",
       "      <td>chr17</td>\n",
       "      <td>55763037.0</td>\n",
       "      <td>55763327.0</td>\n",
       "      <td>291.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.54</td>\n",
       "      <td>4.54</td>\n",
       "      <td>4.53</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>PCTP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57800</th>\n",
       "      <td>chrX</td>\n",
       "      <td>101417439.0</td>\n",
       "      <td>101419395.0</td>\n",
       "      <td>1957.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.71</td>\n",
       "      <td>8.71</td>\n",
       "      <td>8.71</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57801</th>\n",
       "      <td>chr13</td>\n",
       "      <td>41019773.0</td>\n",
       "      <td>41020298.0</td>\n",
       "      <td>526.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.37</td>\n",
       "      <td>5.37</td>\n",
       "      <td>5.37</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57802</th>\n",
       "      <td>chr1</td>\n",
       "      <td>8215660.0</td>\n",
       "      <td>8216090.0</td>\n",
       "      <td>431.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.80</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57803</th>\n",
       "      <td>chrX</td>\n",
       "      <td>23780638.0</td>\n",
       "      <td>23781090.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.93</td>\n",
       "      <td>4.93</td>\n",
       "      <td>4.92</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57804</th>\n",
       "      <td>chr9</td>\n",
       "      <td>76783690.0</td>\n",
       "      <td>76784221.0</td>\n",
       "      <td>532.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.15</td>\n",
       "      <td>5.16</td>\n",
       "      <td>5.15</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>c(\"PRUNE2\", \"PCA3\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57805</th>\n",
       "      <td>chr17</td>\n",
       "      <td>42387172.0</td>\n",
       "      <td>42388590.0</td>\n",
       "      <td>1419.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.88</td>\n",
       "      <td>8.88</td>\n",
       "      <td>8.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>STAT3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57806</th>\n",
       "      <td>chr17</td>\n",
       "      <td>35731250.0</td>\n",
       "      <td>35732752.0</td>\n",
       "      <td>1503.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.45</td>\n",
       "      <td>8.45</td>\n",
       "      <td>8.45</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>RASL10B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57807</th>\n",
       "      <td>chr10</td>\n",
       "      <td>58516428.0</td>\n",
       "      <td>58519538.0</td>\n",
       "      <td>3111.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.41</td>\n",
       "      <td>8.41</td>\n",
       "      <td>8.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>BICC1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57808</th>\n",
       "      <td>chr12</td>\n",
       "      <td>70086206.0</td>\n",
       "      <td>70086669.0</td>\n",
       "      <td>464.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.73</td>\n",
       "      <td>4.72</td>\n",
       "      <td>4.73</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57809</th>\n",
       "      <td>chr4</td>\n",
       "      <td>138972776.0</td>\n",
       "      <td>138974165.0</td>\n",
       "      <td>1390.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.42</td>\n",
       "      <td>6.42</td>\n",
       "      <td>6.42</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57810</th>\n",
       "      <td>chr12</td>\n",
       "      <td>12231631.0</td>\n",
       "      <td>12231938.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.69</td>\n",
       "      <td>3.70</td>\n",
       "      <td>3.68</td>\n",
       "      <td>0.03</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>LRP6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57811</th>\n",
       "      <td>chr17</td>\n",
       "      <td>8673937.0</td>\n",
       "      <td>8674452.0</td>\n",
       "      <td>516.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.30</td>\n",
       "      <td>5.30</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57812</th>\n",
       "      <td>chr8</td>\n",
       "      <td>87913830.0</td>\n",
       "      <td>87914264.0</td>\n",
       "      <td>435.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.74</td>\n",
       "      <td>4.74</td>\n",
       "      <td>4.75</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57813</th>\n",
       "      <td>chr8</td>\n",
       "      <td>687104.0</td>\n",
       "      <td>688953.0</td>\n",
       "      <td>1850.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.03</td>\n",
       "      <td>9.03</td>\n",
       "      <td>9.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>ERICH1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57814</th>\n",
       "      <td>chr19</td>\n",
       "      <td>8511460.0</td>\n",
       "      <td>8515017.0</td>\n",
       "      <td>3558.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.88</td>\n",
       "      <td>9.88</td>\n",
       "      <td>9.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>ZNF414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57815</th>\n",
       "      <td>chr17</td>\n",
       "      <td>75826838.0</td>\n",
       "      <td>75828172.0</td>\n",
       "      <td>1335.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.94</td>\n",
       "      <td>5.94</td>\n",
       "      <td>5.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>UNC13D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57816</th>\n",
       "      <td>chr4</td>\n",
       "      <td>49709343.0</td>\n",
       "      <td>49709800.0</td>\n",
       "      <td>458.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.18</td>\n",
       "      <td>4.11</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>4.29</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57817</th>\n",
       "      <td>chrUn_KI270337v1</td>\n",
       "      <td>65.0</td>\n",
       "      <td>619.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.33</td>\n",
       "      <td>4.19</td>\n",
       "      <td>0.91</td>\n",
       "      <td>3.28</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57818</th>\n",
       "      <td>chrUn_KI270466v1</td>\n",
       "      <td>709.0</td>\n",
       "      <td>1199.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>*</td>\n",
       "      <td>3.78</td>\n",
       "      <td>4.73</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>4.91</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57819</th>\n",
       "      <td>chrUn_KI270467v1</td>\n",
       "      <td>1973.0</td>\n",
       "      <td>2525.0</td>\n",
       "      <td>553.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.57</td>\n",
       "      <td>5.54</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>5.72</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57820</th>\n",
       "      <td>chrUn_KI270467v1</td>\n",
       "      <td>2838.0</td>\n",
       "      <td>3619.0</td>\n",
       "      <td>782.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.79</td>\n",
       "      <td>5.77</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>5.95</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>57821 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               seqnames        start          end    width strand   Conc  \\\n",
       "0                  chr9   87598479.0   87603505.0   5027.0      *   9.39   \n",
       "1                  chr9   87566487.0   87574811.0   8325.0      *  10.86   \n",
       "2                  chr1  164645669.0  164652338.0   6670.0      *   9.63   \n",
       "3                  chr1   34831134.0   34839127.0   7994.0      *  10.16   \n",
       "4                 chr12   65949302.0   65959841.0  10540.0      *  10.19   \n",
       "5                 chr12   65921391.0   65927847.0   6457.0      *   9.98   \n",
       "6                  chr5   78925408.0   78933149.0   7742.0      *  10.05   \n",
       "7                  chr1  223758886.0  223766799.0   7914.0      *   9.97   \n",
       "8                  chr3   42839834.0   42848103.0   8270.0      *  10.39   \n",
       "9                  chr2  105183149.0  105186472.0   3324.0      *   8.85   \n",
       "10                 chr5    5328829.0    5352638.0  23810.0      *  12.02   \n",
       "11                 chr2  207890420.0  207911227.0  20808.0      *  12.10   \n",
       "12                 chr2  160369130.0  160379326.0  10197.0      *  10.36   \n",
       "13                chr19   47149735.0   47155630.0   5896.0      *   8.75   \n",
       "14                 chr7   41129055.0   41137273.0   8219.0      *  10.53   \n",
       "15                 chr4  188106145.0  188112839.0   6695.0      *  10.49   \n",
       "16                chr22   40531723.0   40536081.0   4359.0      *   9.31   \n",
       "17                chr12  120976917.0  120985307.0   8391.0      *  10.56   \n",
       "18                 chr7   21614639.0   21619946.0   5308.0      *  10.12   \n",
       "19                chr22   46376342.0   46382227.0   5886.0      *  10.64   \n",
       "20                 chr6  168272761.0  168276394.0   3634.0      *   8.93   \n",
       "21                 chr2   69794726.0   69802959.0   8234.0      *   9.77   \n",
       "22                 chr3  194318076.0  194323532.0   5457.0      *   9.72   \n",
       "23                 chr8   13100087.0   13110433.0  10347.0      *  10.46   \n",
       "24                chr12  120971953.0  120974584.0   2632.0      *   8.25   \n",
       "25                chr17    2498160.0    2502284.0   4125.0      *   8.40   \n",
       "26                 chr1  214464325.0  214469866.0   5542.0      *   9.51   \n",
       "27                chr17   57901124.0   57906181.0   5058.0      *  10.59   \n",
       "28                chr12   65932354.0   65939960.0   7607.0      *   9.51   \n",
       "29                chr17   27490519.0   27500353.0   9835.0      *  11.65   \n",
       "...                 ...          ...          ...      ...    ...    ...   \n",
       "57791              chr7   16624687.0   16625150.0    464.0      *   4.85   \n",
       "57792              chr1  156659581.0  156660060.0    480.0      *   4.29   \n",
       "57793             chr19   40567586.0   40568191.0    606.0      *   3.69   \n",
       "57794              chr7  117951890.0  117952355.0    466.0      *   3.84   \n",
       "57795             chr22   50313795.0   50315350.0   1556.0      *   5.42   \n",
       "57796             chr17   73304079.0   73307435.0   3357.0      *   8.28   \n",
       "57797             chr18   21914964.0   21915889.0    926.0      *   6.49   \n",
       "57798              chr9    8727299.0    8727538.0    240.0      *   3.73   \n",
       "57799             chr17   55763037.0   55763327.0    291.0      *   4.54   \n",
       "57800              chrX  101417439.0  101419395.0   1957.0      *   8.71   \n",
       "57801             chr13   41019773.0   41020298.0    526.0      *   5.37   \n",
       "57802              chr1    8215660.0    8216090.0    431.0      *   4.80   \n",
       "57803              chrX   23780638.0   23781090.0    453.0      *   4.93   \n",
       "57804              chr9   76783690.0   76784221.0    532.0      *   5.15   \n",
       "57805             chr17   42387172.0   42388590.0   1419.0      *   8.88   \n",
       "57806             chr17   35731250.0   35732752.0   1503.0      *   8.45   \n",
       "57807             chr10   58516428.0   58519538.0   3111.0      *   8.41   \n",
       "57808             chr12   70086206.0   70086669.0    464.0      *   4.73   \n",
       "57809              chr4  138972776.0  138974165.0   1390.0      *   6.42   \n",
       "57810             chr12   12231631.0   12231938.0    308.0      *   3.69   \n",
       "57811             chr17    8673937.0    8674452.0    516.0      *   5.30   \n",
       "57812              chr8   87913830.0   87914264.0    435.0      *   4.74   \n",
       "57813              chr8     687104.0     688953.0   1850.0      *   9.03   \n",
       "57814             chr19    8511460.0    8515017.0   3558.0      *   9.88   \n",
       "57815             chr17   75826838.0   75828172.0   1335.0      *   5.94   \n",
       "57816              chr4   49709343.0   49709800.0    458.0      *   3.18   \n",
       "57817  chrUn_KI270337v1         65.0        619.0    555.0      *   3.33   \n",
       "57818  chrUn_KI270466v1        709.0       1199.0    491.0      *   3.78   \n",
       "57819  chrUn_KI270467v1       1973.0       2525.0    553.0      *   4.57   \n",
       "57820  chrUn_KI270467v1       2838.0       3619.0    782.0      *   4.79   \n",
       "\n",
       "       Conc_GT  Conc_Gefit  Fold        p.value            FDR  \\\n",
       "0        10.13        7.76  2.37  4.250000e-129  2.460000e-124   \n",
       "1        11.40        9.99  1.41  3.740000e-124  1.080000e-119   \n",
       "2        10.27        8.45  1.82  2.890000e-103   5.570000e-99   \n",
       "3         8.98       10.80 -1.83  9.920000e-103   1.430000e-98   \n",
       "4        10.88        8.81  2.08  2.500000e-100   2.900000e-96   \n",
       "5        10.59        8.92  1.66   2.830000e-98   2.730000e-94   \n",
       "6        10.63        9.08  1.55   1.370000e-95   1.130000e-91   \n",
       "7        10.59        8.83  1.76   4.590000e-95   3.320000e-91   \n",
       "8         9.50       10.94 -1.44   3.200000e-93   2.050000e-89   \n",
       "9         7.31        9.58 -2.27   1.010000e-92   5.810000e-89   \n",
       "10       11.34       12.48 -1.14   6.290000e-92   3.310000e-88   \n",
       "11       11.52       12.51 -0.99   1.010000e-89   4.840000e-86   \n",
       "12       11.01        9.18  1.83   2.140000e-89   9.530000e-86   \n",
       "13        9.47        7.28  2.18   5.920000e-85   2.450000e-81   \n",
       "14        9.58       11.10 -1.52   2.830000e-83   1.090000e-79   \n",
       "15       10.98        9.75  1.23   1.350000e-82   4.890000e-79   \n",
       "16       10.03        7.83  2.20   3.550000e-82   1.210000e-78   \n",
       "17        9.53       11.15 -1.62   6.820000e-81   2.190000e-77   \n",
       "18       10.68        9.22  1.45   8.010000e-81   2.440000e-77   \n",
       "19        9.72       11.20 -1.48   9.020000e-80   2.610000e-76   \n",
       "20        7.48        9.63 -2.15   2.460000e-79   6.770000e-76   \n",
       "21       10.36        8.74  1.62   4.750000e-79   1.250000e-75   \n",
       "22        8.76       10.28 -1.52   1.700000e-77   4.260000e-74   \n",
       "23       10.99        9.63  1.37   7.090000e-77   1.710000e-73   \n",
       "24        6.42        9.03 -2.61   7.780000e-77   1.800000e-73   \n",
       "25        9.23        6.24  2.99   1.860000e-76   4.140000e-73   \n",
       "26       10.19        8.19  2.00   7.390000e-75   1.580000e-71   \n",
       "27        9.76       11.11 -1.35   7.590000e-74   1.570000e-70   \n",
       "28       10.11        8.43  1.68   1.540000e-73   3.070000e-70   \n",
       "29       11.09       12.06 -0.97   5.470000e-72   1.050000e-68   \n",
       "...        ...         ...   ...            ...            ...   \n",
       "57791     4.85        4.86 -0.01   9.990000e-01   9.990000e-01   \n",
       "57792     4.28        4.30 -0.02   9.990000e-01   9.990000e-01   \n",
       "57793     3.70        3.69  0.01   9.990000e-01   9.990000e-01   \n",
       "57794     3.85        3.84  0.01   9.990000e-01   9.990000e-01   \n",
       "57795     5.42        5.42  0.00   9.990000e-01   9.990000e-01   \n",
       "57796     8.29        8.28  0.00   9.990000e-01   9.990000e-01   \n",
       "57797     6.49        6.49  0.00   9.990000e-01   9.990000e-01   \n",
       "57798     3.74        3.73  0.01   9.990000e-01   9.990000e-01   \n",
       "57799     4.54        4.53  0.01   9.990000e-01   1.000000e+00   \n",
       "57800     8.71        8.71  0.00   9.990000e-01   1.000000e+00   \n",
       "57801     5.37        5.37  0.00   9.990000e-01   1.000000e+00   \n",
       "57802     4.80        4.80  0.00   9.990000e-01   1.000000e+00   \n",
       "57803     4.93        4.92  0.00   9.990000e-01   1.000000e+00   \n",
       "57804     5.16        5.15  0.01   9.990000e-01   1.000000e+00   \n",
       "57805     8.88        8.88  0.00   9.990000e-01   1.000000e+00   \n",
       "57806     8.45        8.45  0.00   1.000000e+00   1.000000e+00   \n",
       "57807     8.41        8.41  0.00   1.000000e+00   1.000000e+00   \n",
       "57808     4.72        4.73 -0.01   1.000000e+00   1.000000e+00   \n",
       "57809     6.42        6.42  0.01   1.000000e+00   1.000000e+00   \n",
       "57810     3.70        3.68  0.03   1.000000e+00   1.000000e+00   \n",
       "57811     5.30        5.30  0.01   1.000000e+00   1.000000e+00   \n",
       "57812     4.74        4.75 -0.01   1.000000e+00   1.000000e+00   \n",
       "57813     9.03        9.03  0.00   1.000000e+00   1.000000e+00   \n",
       "57814     9.88        9.88  0.00   1.000000e+00   1.000000e+00   \n",
       "57815     5.94        5.94  0.00   1.000000e+00   1.000000e+00   \n",
       "57816     4.11       -0.18  4.29   1.000000e+00   1.000000e+00   \n",
       "57817     4.19        0.91  3.28   1.000000e+00   1.000000e+00   \n",
       "57818     4.73       -0.18  4.91   1.000000e+00   1.000000e+00   \n",
       "57819     5.54       -0.18  5.72   1.000000e+00   1.000000e+00   \n",
       "57820     5.77       -0.18  5.95   1.000000e+00   1.000000e+00   \n",
       "\n",
       "                    SYMBOL  \n",
       "0                    DAPK1  \n",
       "1                    DAPK1  \n",
       "2                     PBX1  \n",
       "3             character(0)  \n",
       "4                    HMGA2  \n",
       "5                    HMGA2  \n",
       "6                     ARSB  \n",
       "7                    CAPN2  \n",
       "8                    ACKR2  \n",
       "9             character(0)  \n",
       "10            character(0)  \n",
       "11                 PLEKHM3  \n",
       "12                   RBMS1  \n",
       "13                    SAE1  \n",
       "14            character(0)  \n",
       "15                  TRIML2  \n",
       "16                    MKL1  \n",
       "17                   HNF1A  \n",
       "18                  DNAH11  \n",
       "19                  CELSR1  \n",
       "20            character(0)  \n",
       "21                   ANXA4  \n",
       "22            character(0)  \n",
       "23                    DLC1  \n",
       "24               HNF1A-AS1  \n",
       "25                 METTL16  \n",
       "26                  PTPN14  \n",
       "27                  CUEDC1  \n",
       "28                   HMGA2  \n",
       "29                    KSR1  \n",
       "...                    ...  \n",
       "57791               ANKMY2  \n",
       "57792         character(0)  \n",
       "57793               SPTBN4  \n",
       "57794         character(0)  \n",
       "57795              DENND6B  \n",
       "57796             CDC42EP4  \n",
       "57797         character(0)  \n",
       "57798                PTPRD  \n",
       "57799                 PCTP  \n",
       "57800         character(0)  \n",
       "57801         character(0)  \n",
       "57802         character(0)  \n",
       "57803         character(0)  \n",
       "57804  c(\"PRUNE2\", \"PCA3\")  \n",
       "57805                STAT3  \n",
       "57806              RASL10B  \n",
       "57807                BICC1  \n",
       "57808         character(0)  \n",
       "57809         character(0)  \n",
       "57810                 LRP6  \n",
       "57811         character(0)  \n",
       "57812         character(0)  \n",
       "57813               ERICH1  \n",
       "57814               ZNF414  \n",
       "57815               UNC13D  \n",
       "57816         character(0)  \n",
       "57817         character(0)  \n",
       "57818         character(0)  \n",
       "57819         character(0)  \n",
       "57820         character(0)  \n",
       "\n",
       "[57821 rows x 12 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/GT_Gefit.H3K27Ac.diffBind.txt', \n",
    "            sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### THZ531 vs Gefit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "module load ImageMagick\n",
    "convert /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_Gefit.H3K27Ac.diffBind_MA.pdf /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_Gefit.H3K27Ac.diffBind_MA.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Image, display\n",
    "display(Image(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/THZ531_Gefit.H3K27Ac.diffBind_MA.png\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqnames</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>width</th>\n",
       "      <th>strand</th>\n",
       "      <th>Conc</th>\n",
       "      <th>Conc_THZ531</th>\n",
       "      <th>Conc_Gefit</th>\n",
       "      <th>Fold</th>\n",
       "      <th>p.value</th>\n",
       "      <th>FDR</th>\n",
       "      <th>SYMBOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>chr1</td>\n",
       "      <td>223758886.0</td>\n",
       "      <td>223766799.0</td>\n",
       "      <td>7914.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.87</td>\n",
       "      <td>10.49</td>\n",
       "      <td>8.74</td>\n",
       "      <td>1.75</td>\n",
       "      <td>9.910000e-81</td>\n",
       "      <td>5.730000e-76</td>\n",
       "      <td>CAPN2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chrX</td>\n",
       "      <td>50967498.0</td>\n",
       "      <td>50971495.0</td>\n",
       "      <td>3998.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.27</td>\n",
       "      <td>6.73</td>\n",
       "      <td>9.00</td>\n",
       "      <td>-2.27</td>\n",
       "      <td>2.140000e-71</td>\n",
       "      <td>6.190000e-67</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>chr12</td>\n",
       "      <td>65921391.0</td>\n",
       "      <td>65927847.0</td>\n",
       "      <td>6457.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.81</td>\n",
       "      <td>10.40</td>\n",
       "      <td>8.83</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.520000e-70</td>\n",
       "      <td>2.750000e-66</td>\n",
       "      <td>HMGA2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>chr5</td>\n",
       "      <td>78925408.0</td>\n",
       "      <td>78933149.0</td>\n",
       "      <td>7742.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.96</td>\n",
       "      <td>10.53</td>\n",
       "      <td>8.99</td>\n",
       "      <td>1.55</td>\n",
       "      <td>2.170000e-70</td>\n",
       "      <td>2.750000e-66</td>\n",
       "      <td>ARSB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chr2</td>\n",
       "      <td>105183149.0</td>\n",
       "      <td>105186472.0</td>\n",
       "      <td>3324.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.84</td>\n",
       "      <td>7.64</td>\n",
       "      <td>9.49</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>2.380000e-70</td>\n",
       "      <td>2.750000e-66</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>chr17</td>\n",
       "      <td>2498160.0</td>\n",
       "      <td>2502284.0</td>\n",
       "      <td>4125.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.04</td>\n",
       "      <td>8.83</td>\n",
       "      <td>6.15</td>\n",
       "      <td>2.68</td>\n",
       "      <td>2.500000e-69</td>\n",
       "      <td>2.400000e-65</td>\n",
       "      <td>METTL16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>chr6</td>\n",
       "      <td>168272761.0</td>\n",
       "      <td>168276394.0</td>\n",
       "      <td>3634.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.87</td>\n",
       "      <td>7.58</td>\n",
       "      <td>9.54</td>\n",
       "      <td>-1.96</td>\n",
       "      <td>2.790000e-68</td>\n",
       "      <td>2.310000e-64</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chr7</td>\n",
       "      <td>41129055.0</td>\n",
       "      <td>41137273.0</td>\n",
       "      <td>8219.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.51</td>\n",
       "      <td>9.77</td>\n",
       "      <td>11.00</td>\n",
       "      <td>-1.24</td>\n",
       "      <td>1.410000e-65</td>\n",
       "      <td>1.020000e-61</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chr6</td>\n",
       "      <td>168260038.0</td>\n",
       "      <td>168264049.0</td>\n",
       "      <td>4012.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.82</td>\n",
       "      <td>7.70</td>\n",
       "      <td>9.44</td>\n",
       "      <td>-1.73</td>\n",
       "      <td>3.310000e-63</td>\n",
       "      <td>2.130000e-59</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chr9</td>\n",
       "      <td>87598479.0</td>\n",
       "      <td>87603505.0</td>\n",
       "      <td>5027.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.92</td>\n",
       "      <td>9.58</td>\n",
       "      <td>7.67</td>\n",
       "      <td>1.91</td>\n",
       "      <td>5.230000e-63</td>\n",
       "      <td>3.020000e-59</td>\n",
       "      <td>DAPK1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>chr5</td>\n",
       "      <td>73988248.0</td>\n",
       "      <td>73993958.0</td>\n",
       "      <td>5711.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.49</td>\n",
       "      <td>10.06</td>\n",
       "      <td>8.53</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.140000e-62</td>\n",
       "      <td>5.990000e-59</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>chr9</td>\n",
       "      <td>87566487.0</td>\n",
       "      <td>87574811.0</td>\n",
       "      <td>8325.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.63</td>\n",
       "      <td>11.11</td>\n",
       "      <td>9.90</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.510000e-62</td>\n",
       "      <td>7.250000e-59</td>\n",
       "      <td>DAPK1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>chr12</td>\n",
       "      <td>65932354.0</td>\n",
       "      <td>65939960.0</td>\n",
       "      <td>7607.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.37</td>\n",
       "      <td>9.97</td>\n",
       "      <td>8.34</td>\n",
       "      <td>1.64</td>\n",
       "      <td>3.040000e-61</td>\n",
       "      <td>1.350000e-57</td>\n",
       "      <td>HMGA2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>chr5</td>\n",
       "      <td>5328829.0</td>\n",
       "      <td>5352638.0</td>\n",
       "      <td>23810.0</td>\n",
       "      <td>*</td>\n",
       "      <td>12.00</td>\n",
       "      <td>11.47</td>\n",
       "      <td>12.38</td>\n",
       "      <td>-0.92</td>\n",
       "      <td>3.830000e-61</td>\n",
       "      <td>1.580000e-57</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chr12</td>\n",
       "      <td>120976917.0</td>\n",
       "      <td>120985307.0</td>\n",
       "      <td>8391.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.53</td>\n",
       "      <td>9.70</td>\n",
       "      <td>11.05</td>\n",
       "      <td>-1.35</td>\n",
       "      <td>1.560000e-60</td>\n",
       "      <td>6.030000e-57</td>\n",
       "      <td>HNF1A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>chr7</td>\n",
       "      <td>104924769.0</td>\n",
       "      <td>104937284.0</td>\n",
       "      <td>12516.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.75</td>\n",
       "      <td>10.06</td>\n",
       "      <td>11.21</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>1.820000e-60</td>\n",
       "      <td>6.590000e-57</td>\n",
       "      <td>LHFPL3-AS2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>chr14</td>\n",
       "      <td>84400128.0</td>\n",
       "      <td>84407337.0</td>\n",
       "      <td>7210.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.61</td>\n",
       "      <td>8.54</td>\n",
       "      <td>10.22</td>\n",
       "      <td>-1.68</td>\n",
       "      <td>2.760000e-59</td>\n",
       "      <td>9.400000e-56</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chr8</td>\n",
       "      <td>145056355.0</td>\n",
       "      <td>145059499.0</td>\n",
       "      <td>3145.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.72</td>\n",
       "      <td>8.50</td>\n",
       "      <td>5.92</td>\n",
       "      <td>2.58</td>\n",
       "      <td>6.150000e-59</td>\n",
       "      <td>1.980000e-55</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>chr1</td>\n",
       "      <td>164645669.0</td>\n",
       "      <td>164652338.0</td>\n",
       "      <td>6670.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.35</td>\n",
       "      <td>9.94</td>\n",
       "      <td>8.36</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.090000e-58</td>\n",
       "      <td>3.320000e-55</td>\n",
       "      <td>PBX1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>chr10</td>\n",
       "      <td>99775405.0</td>\n",
       "      <td>99786459.0</td>\n",
       "      <td>11055.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.80</td>\n",
       "      <td>11.25</td>\n",
       "      <td>10.14</td>\n",
       "      <td>1.11</td>\n",
       "      <td>6.550000e-58</td>\n",
       "      <td>1.890000e-54</td>\n",
       "      <td>ABCC2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>chr22</td>\n",
       "      <td>46415506.0</td>\n",
       "      <td>46419686.0</td>\n",
       "      <td>4181.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.62</td>\n",
       "      <td>8.66</td>\n",
       "      <td>10.19</td>\n",
       "      <td>-1.53</td>\n",
       "      <td>3.840000e-57</td>\n",
       "      <td>1.060000e-53</td>\n",
       "      <td>CELSR1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>chr2</td>\n",
       "      <td>160369130.0</td>\n",
       "      <td>160379326.0</td>\n",
       "      <td>10197.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.13</td>\n",
       "      <td>10.73</td>\n",
       "      <td>9.08</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.700000e-56</td>\n",
       "      <td>4.460000e-53</td>\n",
       "      <td>RBMS1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>chr11</td>\n",
       "      <td>27200258.0</td>\n",
       "      <td>27210433.0</td>\n",
       "      <td>10176.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.36</td>\n",
       "      <td>10.84</td>\n",
       "      <td>9.65</td>\n",
       "      <td>1.19</td>\n",
       "      <td>2.280000e-56</td>\n",
       "      <td>5.740000e-53</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>chr16</td>\n",
       "      <td>78370921.0</td>\n",
       "      <td>78377288.0</td>\n",
       "      <td>6368.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.95</td>\n",
       "      <td>9.61</td>\n",
       "      <td>7.71</td>\n",
       "      <td>1.90</td>\n",
       "      <td>5.920000e-56</td>\n",
       "      <td>1.430000e-52</td>\n",
       "      <td>WWOX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>chr22</td>\n",
       "      <td>40531723.0</td>\n",
       "      <td>40536081.0</td>\n",
       "      <td>4359.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.07</td>\n",
       "      <td>9.75</td>\n",
       "      <td>7.73</td>\n",
       "      <td>2.02</td>\n",
       "      <td>1.310000e-55</td>\n",
       "      <td>3.020000e-52</td>\n",
       "      <td>MKL1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>chr8</td>\n",
       "      <td>30541050.0</td>\n",
       "      <td>30544023.0</td>\n",
       "      <td>2974.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.89</td>\n",
       "      <td>8.64</td>\n",
       "      <td>6.28</td>\n",
       "      <td>2.35</td>\n",
       "      <td>2.360000e-55</td>\n",
       "      <td>5.260000e-52</td>\n",
       "      <td>RBPMS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>chr11</td>\n",
       "      <td>86930191.0</td>\n",
       "      <td>86936921.0</td>\n",
       "      <td>6731.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.82</td>\n",
       "      <td>10.36</td>\n",
       "      <td>8.96</td>\n",
       "      <td>1.39</td>\n",
       "      <td>3.260000e-55</td>\n",
       "      <td>6.990000e-52</td>\n",
       "      <td>PRSS23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>chr2</td>\n",
       "      <td>43190128.0</td>\n",
       "      <td>43197953.0</td>\n",
       "      <td>7826.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.58</td>\n",
       "      <td>9.92</td>\n",
       "      <td>11.03</td>\n",
       "      <td>-1.11</td>\n",
       "      <td>6.150000e-55</td>\n",
       "      <td>1.270000e-51</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>chr17</td>\n",
       "      <td>57901124.0</td>\n",
       "      <td>57906181.0</td>\n",
       "      <td>5058.0</td>\n",
       "      <td>*</td>\n",
       "      <td>10.54</td>\n",
       "      <td>9.81</td>\n",
       "      <td>11.02</td>\n",
       "      <td>-1.21</td>\n",
       "      <td>8.980000e-54</td>\n",
       "      <td>1.790000e-50</td>\n",
       "      <td>CUEDC1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chr1</td>\n",
       "      <td>25866100.0</td>\n",
       "      <td>25868698.0</td>\n",
       "      <td>2599.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.98</td>\n",
       "      <td>6.29</td>\n",
       "      <td>8.74</td>\n",
       "      <td>-2.45</td>\n",
       "      <td>1.530000e-53</td>\n",
       "      <td>2.950000e-50</td>\n",
       "      <td>PAQR7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57791</th>\n",
       "      <td>chr2</td>\n",
       "      <td>42196350.0</td>\n",
       "      <td>42196853.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.15</td>\n",
       "      <td>5.16</td>\n",
       "      <td>5.14</td>\n",
       "      <td>0.01</td>\n",
       "      <td>9.980000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>EML4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57792</th>\n",
       "      <td>chr10</td>\n",
       "      <td>100878049.0</td>\n",
       "      <td>100878584.0</td>\n",
       "      <td>536.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.12</td>\n",
       "      <td>5.12</td>\n",
       "      <td>5.12</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.980000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57793</th>\n",
       "      <td>chr12</td>\n",
       "      <td>65277934.0</td>\n",
       "      <td>65280504.0</td>\n",
       "      <td>2571.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.54</td>\n",
       "      <td>9.54</td>\n",
       "      <td>9.54</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>MSRB3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57794</th>\n",
       "      <td>chr10</td>\n",
       "      <td>23095368.0</td>\n",
       "      <td>23096742.0</td>\n",
       "      <td>1375.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.76</td>\n",
       "      <td>8.76</td>\n",
       "      <td>8.76</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>MSRB2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57795</th>\n",
       "      <td>chr15</td>\n",
       "      <td>49044875.0</td>\n",
       "      <td>49047058.0</td>\n",
       "      <td>2184.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.93</td>\n",
       "      <td>8.93</td>\n",
       "      <td>8.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>SECISBP2L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57796</th>\n",
       "      <td>chr15</td>\n",
       "      <td>85335258.0</td>\n",
       "      <td>85336327.0</td>\n",
       "      <td>1070.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.39</td>\n",
       "      <td>6.39</td>\n",
       "      <td>6.39</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57797</th>\n",
       "      <td>chr6</td>\n",
       "      <td>85549220.0</td>\n",
       "      <td>85550410.0</td>\n",
       "      <td>1191.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.44</td>\n",
       "      <td>6.44</td>\n",
       "      <td>6.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>SNX14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57798</th>\n",
       "      <td>chr3</td>\n",
       "      <td>108554445.0</td>\n",
       "      <td>108556180.0</td>\n",
       "      <td>1736.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.94</td>\n",
       "      <td>6.93</td>\n",
       "      <td>6.94</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>KIAA1524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57799</th>\n",
       "      <td>chr4</td>\n",
       "      <td>48830269.0</td>\n",
       "      <td>48830955.0</td>\n",
       "      <td>687.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.18</td>\n",
       "      <td>6.18</td>\n",
       "      <td>6.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57800</th>\n",
       "      <td>chr6</td>\n",
       "      <td>132471009.0</td>\n",
       "      <td>132471733.0</td>\n",
       "      <td>725.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.04</td>\n",
       "      <td>5.06</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>STX7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57801</th>\n",
       "      <td>chr9</td>\n",
       "      <td>122227255.0</td>\n",
       "      <td>122227514.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>*</td>\n",
       "      <td>2.51</td>\n",
       "      <td>2.49</td>\n",
       "      <td>2.52</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>LHX6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57802</th>\n",
       "      <td>chr7</td>\n",
       "      <td>116499068.0</td>\n",
       "      <td>116501086.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>*</td>\n",
       "      <td>8.99</td>\n",
       "      <td>8.99</td>\n",
       "      <td>8.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>c(\"CAV1\", \"CAV2\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57803</th>\n",
       "      <td>chr7</td>\n",
       "      <td>134646768.0</td>\n",
       "      <td>134647825.0</td>\n",
       "      <td>1058.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.55</td>\n",
       "      <td>7.55</td>\n",
       "      <td>7.55</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>BPGM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57804</th>\n",
       "      <td>chr12</td>\n",
       "      <td>121782154.0</td>\n",
       "      <td>121782803.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.26</td>\n",
       "      <td>0.02</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>RHOF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57805</th>\n",
       "      <td>chr10</td>\n",
       "      <td>69507694.0</td>\n",
       "      <td>69508042.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57806</th>\n",
       "      <td>chr17</td>\n",
       "      <td>50762848.0</td>\n",
       "      <td>50763326.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.29</td>\n",
       "      <td>5.28</td>\n",
       "      <td>5.29</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>LINC00483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57807</th>\n",
       "      <td>chr2</td>\n",
       "      <td>26785037.0</td>\n",
       "      <td>26785776.0</td>\n",
       "      <td>740.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.29</td>\n",
       "      <td>7.28</td>\n",
       "      <td>7.29</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57808</th>\n",
       "      <td>chr7</td>\n",
       "      <td>770251.0</td>\n",
       "      <td>770971.0</td>\n",
       "      <td>721.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>DNAAF5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57809</th>\n",
       "      <td>chr14</td>\n",
       "      <td>70600730.0</td>\n",
       "      <td>70601677.0</td>\n",
       "      <td>948.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.09</td>\n",
       "      <td>7.09</td>\n",
       "      <td>7.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.990000e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57810</th>\n",
       "      <td>chr7</td>\n",
       "      <td>122238429.0</td>\n",
       "      <td>122239022.0</td>\n",
       "      <td>594.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.25</td>\n",
       "      <td>5.25</td>\n",
       "      <td>5.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57811</th>\n",
       "      <td>chr1</td>\n",
       "      <td>15741609.0</td>\n",
       "      <td>15741884.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.23</td>\n",
       "      <td>4.22</td>\n",
       "      <td>4.24</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57812</th>\n",
       "      <td>chr19</td>\n",
       "      <td>6371927.0</td>\n",
       "      <td>6375007.0</td>\n",
       "      <td>3081.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.36</td>\n",
       "      <td>9.36</td>\n",
       "      <td>9.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>ALKBH7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57813</th>\n",
       "      <td>chr7</td>\n",
       "      <td>11825050.0</td>\n",
       "      <td>11825629.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.82</td>\n",
       "      <td>4.83</td>\n",
       "      <td>4.82</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>THSD7A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57814</th>\n",
       "      <td>chr9</td>\n",
       "      <td>129834301.0</td>\n",
       "      <td>129836371.0</td>\n",
       "      <td>2071.0</td>\n",
       "      <td>*</td>\n",
       "      <td>9.13</td>\n",
       "      <td>9.13</td>\n",
       "      <td>9.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>c(\"USP20\", \"C9orf78\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57815</th>\n",
       "      <td>chr1</td>\n",
       "      <td>53889235.0</td>\n",
       "      <td>53890422.0</td>\n",
       "      <td>1188.0</td>\n",
       "      <td>*</td>\n",
       "      <td>7.53</td>\n",
       "      <td>7.53</td>\n",
       "      <td>7.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>YIPF1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57816</th>\n",
       "      <td>chr6</td>\n",
       "      <td>45969814.0</td>\n",
       "      <td>45971068.0</td>\n",
       "      <td>1255.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.27</td>\n",
       "      <td>6.28</td>\n",
       "      <td>6.26</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>CLIC5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57817</th>\n",
       "      <td>chr10</td>\n",
       "      <td>93455407.0</td>\n",
       "      <td>93455952.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>*</td>\n",
       "      <td>4.70</td>\n",
       "      <td>4.71</td>\n",
       "      <td>4.70</td>\n",
       "      <td>0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>MYOF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57818</th>\n",
       "      <td>chr6</td>\n",
       "      <td>25360144.0</td>\n",
       "      <td>25360873.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>*</td>\n",
       "      <td>5.45</td>\n",
       "      <td>5.45</td>\n",
       "      <td>5.46</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>CARMIL1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57819</th>\n",
       "      <td>chr7</td>\n",
       "      <td>87608859.0</td>\n",
       "      <td>87609841.0</td>\n",
       "      <td>983.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.13</td>\n",
       "      <td>6.13</td>\n",
       "      <td>6.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>ABCB1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57820</th>\n",
       "      <td>chr6</td>\n",
       "      <td>26554266.0</td>\n",
       "      <td>26555188.0</td>\n",
       "      <td>923.0</td>\n",
       "      <td>*</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.99</td>\n",
       "      <td>6.01</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>character(0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>57821 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      seqnames        start          end    width strand   Conc  Conc_THZ531  \\\n",
       "0         chr1  223758886.0  223766799.0   7914.0      *   9.87        10.49   \n",
       "1         chrX   50967498.0   50971495.0   3998.0      *   8.27         6.73   \n",
       "2        chr12   65921391.0   65927847.0   6457.0      *   9.81        10.40   \n",
       "3         chr5   78925408.0   78933149.0   7742.0      *   9.96        10.53   \n",
       "4         chr2  105183149.0  105186472.0   3324.0      *   8.84         7.64   \n",
       "5        chr17    2498160.0    2502284.0   4125.0      *   8.04         8.83   \n",
       "6         chr6  168272761.0  168276394.0   3634.0      *   8.87         7.58   \n",
       "7         chr7   41129055.0   41137273.0   8219.0      *  10.51         9.77   \n",
       "8         chr6  168260038.0  168264049.0   4012.0      *   8.82         7.70   \n",
       "9         chr9   87598479.0   87603505.0   5027.0      *   8.92         9.58   \n",
       "10        chr5   73988248.0   73993958.0   5711.0      *   9.49        10.06   \n",
       "11        chr9   87566487.0   87574811.0   8325.0      *  10.63        11.11   \n",
       "12       chr12   65932354.0   65939960.0   7607.0      *   9.37         9.97   \n",
       "13        chr5    5328829.0    5352638.0  23810.0      *  12.00        11.47   \n",
       "14       chr12  120976917.0  120985307.0   8391.0      *  10.53         9.70   \n",
       "15        chr7  104924769.0  104937284.0  12516.0      *  10.75        10.06   \n",
       "16       chr14   84400128.0   84407337.0   7210.0      *   9.61         8.54   \n",
       "17        chr8  145056355.0  145059499.0   3145.0      *   7.72         8.50   \n",
       "18        chr1  164645669.0  164652338.0   6670.0      *   9.35         9.94   \n",
       "19       chr10   99775405.0   99786459.0  11055.0      *  10.80        11.25   \n",
       "20       chr22   46415506.0   46419686.0   4181.0      *   9.62         8.66   \n",
       "21        chr2  160369130.0  160379326.0  10197.0      *  10.13        10.73   \n",
       "22       chr11   27200258.0   27210433.0  10176.0      *  10.36        10.84   \n",
       "23       chr16   78370921.0   78377288.0   6368.0      *   8.95         9.61   \n",
       "24       chr22   40531723.0   40536081.0   4359.0      *   9.07         9.75   \n",
       "25        chr8   30541050.0   30544023.0   2974.0      *   7.89         8.64   \n",
       "26       chr11   86930191.0   86936921.0   6731.0      *   9.82        10.36   \n",
       "27        chr2   43190128.0   43197953.0   7826.0      *  10.58         9.92   \n",
       "28       chr17   57901124.0   57906181.0   5058.0      *  10.54         9.81   \n",
       "29        chr1   25866100.0   25868698.0   2599.0      *   7.98         6.29   \n",
       "...        ...          ...          ...      ...    ...    ...          ...   \n",
       "57791     chr2   42196350.0   42196853.0    504.0      *   5.15         5.16   \n",
       "57792    chr10  100878049.0  100878584.0    536.0      *   5.12         5.12   \n",
       "57793    chr12   65277934.0   65280504.0   2571.0      *   9.54         9.54   \n",
       "57794    chr10   23095368.0   23096742.0   1375.0      *   8.76         8.76   \n",
       "57795    chr15   49044875.0   49047058.0   2184.0      *   8.93         8.93   \n",
       "57796    chr15   85335258.0   85336327.0   1070.0      *   6.39         6.39   \n",
       "57797     chr6   85549220.0   85550410.0   1191.0      *   6.44         6.44   \n",
       "57798     chr3  108554445.0  108556180.0   1736.0      *   6.94         6.93   \n",
       "57799     chr4   48830269.0   48830955.0    687.0      *   6.18         6.18   \n",
       "57800     chr6  132471009.0  132471733.0    725.0      *   5.05         5.04   \n",
       "57801     chr9  122227255.0  122227514.0    260.0      *   2.51         2.49   \n",
       "57802     chr7  116499068.0  116501086.0   2019.0      *   8.99         8.99   \n",
       "57803     chr7  134646768.0  134647825.0   1058.0      *   7.55         7.55   \n",
       "57804    chr12  121782154.0  121782803.0    650.0      *   4.27         4.28   \n",
       "57805    chr10   69507694.0   69508042.0    349.0      *   4.53         4.53   \n",
       "57806    chr17   50762848.0   50763326.0    479.0      *   5.29         5.28   \n",
       "57807     chr2   26785037.0   26785776.0    740.0      *   7.29         7.28   \n",
       "57808     chr7     770251.0     770971.0    721.0      *   5.67         5.67   \n",
       "57809    chr14   70600730.0   70601677.0    948.0      *   7.09         7.09   \n",
       "57810     chr7  122238429.0  122239022.0    594.0      *   5.25         5.25   \n",
       "57811     chr1   15741609.0   15741884.0    276.0      *   4.23         4.22   \n",
       "57812    chr19    6371927.0    6375007.0   3081.0      *   9.36         9.36   \n",
       "57813     chr7   11825050.0   11825629.0    580.0      *   4.82         4.83   \n",
       "57814     chr9  129834301.0  129836371.0   2071.0      *   9.13         9.13   \n",
       "57815     chr1   53889235.0   53890422.0   1188.0      *   7.53         7.53   \n",
       "57816     chr6   45969814.0   45971068.0   1255.0      *   6.27         6.28   \n",
       "57817    chr10   93455407.0   93455952.0    546.0      *   4.70         4.71   \n",
       "57818     chr6   25360144.0   25360873.0    730.0      *   5.45         5.45   \n",
       "57819     chr7   87608859.0   87609841.0    983.0      *   6.13         6.13   \n",
       "57820     chr6   26554266.0   26555188.0    923.0      *   6.00         5.99   \n",
       "\n",
       "       Conc_Gefit  Fold       p.value           FDR                 SYMBOL  \n",
       "0            8.74  1.75  9.910000e-81  5.730000e-76                  CAPN2  \n",
       "1            9.00 -2.27  2.140000e-71  6.190000e-67           character(0)  \n",
       "2            8.83  1.57  1.520000e-70  2.750000e-66                  HMGA2  \n",
       "3            8.99  1.55  2.170000e-70  2.750000e-66                   ARSB  \n",
       "4            9.49 -1.85  2.380000e-70  2.750000e-66           character(0)  \n",
       "5            6.15  2.68  2.500000e-69  2.400000e-65                METTL16  \n",
       "6            9.54 -1.96  2.790000e-68  2.310000e-64           character(0)  \n",
       "7           11.00 -1.24  1.410000e-65  1.020000e-61           character(0)  \n",
       "8            9.44 -1.73  3.310000e-63  2.130000e-59           character(0)  \n",
       "9            7.67  1.91  5.230000e-63  3.020000e-59                  DAPK1  \n",
       "10           8.53  1.53  1.140000e-62  5.990000e-59           character(0)  \n",
       "11           9.90  1.22  1.510000e-62  7.250000e-59                  DAPK1  \n",
       "12           8.34  1.64  3.040000e-61  1.350000e-57                  HMGA2  \n",
       "13          12.38 -0.92  3.830000e-61  1.580000e-57           character(0)  \n",
       "14          11.05 -1.35  1.560000e-60  6.030000e-57                  HNF1A  \n",
       "15          11.21 -1.14  1.820000e-60  6.590000e-57             LHFPL3-AS2  \n",
       "16          10.22 -1.68  2.760000e-59  9.400000e-56           character(0)  \n",
       "17           5.92  2.58  6.150000e-59  1.980000e-55           character(0)  \n",
       "18           8.36  1.58  1.090000e-58  3.320000e-55                   PBX1  \n",
       "19          10.14  1.11  6.550000e-58  1.890000e-54                  ABCC2  \n",
       "20          10.19 -1.53  3.840000e-57  1.060000e-53                 CELSR1  \n",
       "21           9.08  1.65  1.700000e-56  4.460000e-53                  RBMS1  \n",
       "22           9.65  1.19  2.280000e-56  5.740000e-53           character(0)  \n",
       "23           7.71  1.90  5.920000e-56  1.430000e-52                   WWOX  \n",
       "24           7.73  2.02  1.310000e-55  3.020000e-52                   MKL1  \n",
       "25           6.28  2.35  2.360000e-55  5.260000e-52                  RBPMS  \n",
       "26           8.96  1.39  3.260000e-55  6.990000e-52                 PRSS23  \n",
       "27          11.03 -1.11  6.150000e-55  1.270000e-51           character(0)  \n",
       "28          11.02 -1.21  8.980000e-54  1.790000e-50                 CUEDC1  \n",
       "29           8.74 -2.45  1.530000e-53  2.950000e-50                  PAQR7  \n",
       "...           ...   ...           ...           ...                    ...  \n",
       "57791        5.14  0.01  9.980000e-01  9.990000e-01                   EML4  \n",
       "57792        5.12  0.00  9.980000e-01  9.990000e-01           character(0)  \n",
       "57793        9.54  0.00  9.990000e-01  9.990000e-01                  MSRB3  \n",
       "57794        8.76  0.00  9.990000e-01  9.990000e-01                  MSRB2  \n",
       "57795        8.93  0.00  9.990000e-01  9.990000e-01              SECISBP2L  \n",
       "57796        6.39  0.00  9.990000e-01  9.990000e-01           character(0)  \n",
       "57797        6.44  0.00  9.990000e-01  9.990000e-01                  SNX14  \n",
       "57798        6.94 -0.01  9.990000e-01  9.990000e-01               KIAA1524  \n",
       "57799        6.18  0.00  9.990000e-01  9.990000e-01           character(0)  \n",
       "57800        5.06 -0.02  9.990000e-01  9.990000e-01                   STX7  \n",
       "57801        2.52 -0.03  9.990000e-01  9.990000e-01                   LHX6  \n",
       "57802        8.99  0.00  9.990000e-01  9.990000e-01      c(\"CAV1\", \"CAV2\")  \n",
       "57803        7.55  0.00  9.990000e-01  9.990000e-01                   BPGM  \n",
       "57804        4.26  0.02  9.990000e-01  9.990000e-01                   RHOF  \n",
       "57805        4.53  0.00  9.990000e-01  9.990000e-01           character(0)  \n",
       "57806        5.29 -0.02  9.990000e-01  1.000000e+00              LINC00483  \n",
       "57807        7.29 -0.01  9.990000e-01  1.000000e+00           character(0)  \n",
       "57808        5.67  0.00  9.990000e-01  1.000000e+00                 DNAAF5  \n",
       "57809        7.09  0.00  9.990000e-01  1.000000e+00           character(0)  \n",
       "57810        5.25  0.00  1.000000e+00  1.000000e+00           character(0)  \n",
       "57811        4.24 -0.02  1.000000e+00  1.000000e+00           character(0)  \n",
       "57812        9.36  0.00  1.000000e+00  1.000000e+00                 ALKBH7  \n",
       "57813        4.82  0.01  1.000000e+00  1.000000e+00                 THSD7A  \n",
       "57814        9.13  0.00  1.000000e+00  1.000000e+00  c(\"USP20\", \"C9orf78\")  \n",
       "57815        7.53  0.00  1.000000e+00  1.000000e+00                  YIPF1  \n",
       "57816        6.26  0.01  1.000000e+00  1.000000e+00                  CLIC5  \n",
       "57817        4.70  0.01  1.000000e+00  1.000000e+00                   MYOF  \n",
       "57818        5.46 -0.01  1.000000e+00  1.000000e+00                CARMIL1  \n",
       "57819        6.13  0.00  1.000000e+00  1.000000e+00                  ABCB1  \n",
       "57820        6.01 -0.01  1.000000e+00  1.000000e+00           character(0)  \n",
       "\n",
       "[57821 rows x 12 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/THZ531_Gefit.H3K27Ac.diffBind.txt', \n",
    "            sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Moving to DESeq2 instead of DiffBind\n",
    "\n",
    "Use the consensus peak set from DiffBind to extract peak counts. Then use DESeq2 directly to estimate DE peaks and create MA plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/deseq2_H3K27Ac_analysis.R\n"
     ]
    }
   ],
   "source": [
    "%%writefile /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/deseq2_H3K27Ac_analysis.R\n",
    "#!/bin/env/R\n",
    "library(DiffBind)\n",
    "library(DESeq2)\n",
    "require(ggplot2)\n",
    "\n",
    "(DBA <- dba.load(file='DBA_H3K27Ac_analyzed', dir='/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/', pre='dba_', ext='RData'))\n",
    "\n",
    "\n",
    "metadata <- read.csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/metadata/H3K27Ac_diff_bind_sample_sheet.csv')\n",
    "\n",
    "counts_table <- read.csv('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/data/chip_seq/diffbind/H3K27Ac/H3K27Ac_counts.df.txt', \n",
    "                   sep=\"\\t\",\n",
    "                  col.names = c(c(\"chrom\", \"start\", \"end\"), DBA$samples$SampleID))\n",
    "\n",
    "counts_only <- counts_table[, -c(1:3)]\n",
    "rownames(counts_only) <- apply(counts_table[, c(1:3)] , 1 , paste , collapse = \"-\" )\n",
    "\n",
    "\n",
    "\n",
    "coldata <- as.data.frame(metadata$Condition)\n",
    "rownames(coldata) <- make.names(metadata$SampleID, unique=TRUE)\n",
    "colnames(coldata) <- c('condition')\n",
    "\n",
    "\n",
    "\n",
    "dds <- DESeqDataSetFromMatrix(countData = counts_only,\n",
    "                              colData = coldata,\n",
    "                              design= ~ condition)\n",
    "\n",
    "\n",
    "dds <- DESeq(dds)\n",
    "\n",
    "cc <- list(\n",
    "    c(\"Gefit\",\"DMSO\"),\n",
    "    c(\"THZ531\",\"DMSO\"),\n",
    "    c(\"Vorino\",\"DMSO\"),\n",
    "    c(\"GT\",\"DMSO\"),\n",
    "    c(\"GT\",\"THZ531\"),\n",
    "    c(\"GT\",\"Gefit\"),\n",
    "    c(\"THZ531\",\"Gefit\")\n",
    ")\n",
    "\n",
    "lapply(cc, function(contrast_pair, fdr_th=0.001){\n",
    "    res <- results(dds, contrast=c(\"condition\",contrast_pair[[1]], contrast_pair[[2]]), \n",
    "                   independentFiltering = T,\n",
    "                  alpha=fdr_th)\n",
    "    print(summary(res))\n",
    "    print(resOrdered <- res[order(res$padj),])\n",
    "    \n",
    "    # Plot correlation heatmap\n",
    "    pdf(paste0('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/', \n",
    "               contrast_pair[[1]], \n",
    "               \"_vs_\",\n",
    "               contrast_pair[[2]], \n",
    "               '.H3K27Ac.deseq2_MA.pdf'))\n",
    "    plotMA(res, alpha=fdr_th, ylim=c(-2,4),  main=paste(unlist(contrast_pair)))\n",
    "    dev.off()\n",
    "    \n",
    "    # Save the results    \n",
    "    write.table(resOrdered,\n",
    "                file=paste0('/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/', \n",
    "                   contrast_pair[[1]], \n",
    "                   \"_vs_\",\n",
    "                   contrast_pair[[2]], \n",
    "                   '.H3K27Ac.deseq2_results.txt'),\n",
    "            quote = FALSE, row.names=TRUE, sep = \"\\t\")\n",
    "\n",
    "\n",
    "})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%script --out deseq2 bash -s \"$blocking_job\"\n",
    "sbatch -pnew,all \\\n",
    "    --mem 16000 \\\n",
    "    --output=/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs/chipseq_H3K27Ac_deseq2_de_peaks.out \\\n",
    "    --wrap=\"source /data/reddylab/software/miniconda2/bin/activate r_conda; Rscript /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/scripts/deseq2_H3K27Ac_analysis.R\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Find closest gene to DE peak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submitted batch job 3588349\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "module load bedtools2\n",
    "cd /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/\n",
    "BEDFILES=($(/bin/ls -1 *.H3K27Ac.deseq2_results.txt))\n",
    "sbatch -pnew,all \\\n",
    "    --array=0-$((${#BEDFILES[@]}-1)) \\\n",
    "    --output=/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs/chipseq_H3K27Ac_deseq2_closest_gene_%a.out \\\n",
    "    <<'EOF'\n",
    "#!/bin/bash\n",
    "BEDFILES=($(/bin/ls -1 *.H3K27Ac.deseq2_results.txt))\n",
    "BEDFILE=${BEDFILES[${SLURM_ARRAY_TASK_ID}]}\n",
    "bedtools closest \\\n",
    "    -D a \\\n",
    "    -a <(tail -n+2 ${BEDFILE} \\\n",
    "        | cut -f1 \\\n",
    "        | awk -F\"-\" -vOFS=\"\\t\" '{print $1,$2, $3}' \\\n",
    "        | sort -k1,1 -k2,2n \\\n",
    "        | sed -E 's/[ \\t]+/\\t/g') \\\n",
    "    -b <(sort -k1,1 -k2,2n /data/reddylab/Reference_Data/Gencode/v22/gencode.v22.annotation.gene_name.bed | cut -f1-4) \\\n",
    "> ${BEDFILE/H3K27Ac.deseq2_results.txt/H3K27Ac.deseq2_results.closest_gene.txt}\n",
    "EOF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chr1\t826588\t827946\tchr1\t825137\t859446\tLINC01128\t0\r\n",
      "chr1\t826588\t827946\tchr1\t826205\t827522\tLINC00115\t0\r\n",
      "chr1\t844451\t845000\tchr1\t825137\t859446\tLINC01128\t0\r\n",
      "chr1\t845305\t845974\tchr1\t825137\t859446\tLINC01128\t0\r\n",
      "chr1\t903725\t905605\tchr1\t904833\t915976\tRP11-54O7.16\t0\r\n",
      "chr1\t905899\t907182\tchr1\t904833\t915976\tRP11-54O7.16\t0\r\n",
      "chr1\t916054\t917462\tchr1\t916864\t921016\tRP11-54O7.3\t0\r\n",
      "chr1\t920285\t922421\tchr1\t916864\t921016\tRP11-54O7.3\t0\r\n",
      "chr1\t923438\t926271\tchr1\t924879\t944581\tSAMD11\t0\r\n",
      "chr1\t934882\t946058\tchr1\t924879\t944581\tSAMD11\t0\r\n"
     ]
    }
   ],
   "source": [
    "!head /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/THZ531_vs_DMSO.H3K27Ac.deseq2_results.closest_gene.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== THZ531_vs_DMSO ======\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "      <th>chrom_peak</th>\n",
       "      <th>start_peak</th>\n",
       "      <th>end_peak</th>\n",
       "      <th>chrom_gene</th>\n",
       "      <th>start_gene</th>\n",
       "      <th>end_gene</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>chr1-105137052-105139071</th>\n",
       "      <td>213.505063</td>\n",
       "      <td>-0.794879</td>\n",
       "      <td>0.168667</td>\n",
       "      <td>-4.712703</td>\n",
       "      <td>2.444522e-06</td>\n",
       "      <td>5.203040e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105137052</td>\n",
       "      <td>105139071</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>294923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105350097-105351227</th>\n",
       "      <td>59.321446</td>\n",
       "      <td>1.550923</td>\n",
       "      <td>0.341074</td>\n",
       "      <td>4.547167</td>\n",
       "      <td>5.437281e-06</td>\n",
       "      <td>1.005542e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105350097</td>\n",
       "      <td>105351227</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>82767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105351987-105352940</th>\n",
       "      <td>39.428125</td>\n",
       "      <td>1.545596</td>\n",
       "      <td>0.343432</td>\n",
       "      <td>4.500442</td>\n",
       "      <td>6.781216e-06</td>\n",
       "      <td>1.204902e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105351987</td>\n",
       "      <td>105352940</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>81054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105631073-105631887</th>\n",
       "      <td>55.788257</td>\n",
       "      <td>-2.817553</td>\n",
       "      <td>0.468848</td>\n",
       "      <td>-6.009528</td>\n",
       "      <td>1.860647e-09</td>\n",
       "      <td>1.182385e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105631073</td>\n",
       "      <td>105631887</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105587574</td>\n",
       "      <td>105618958</td>\n",
       "      <td>RP11-251P6.1 &gt;10k</td>\n",
       "      <td>-12116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109049394-109049944</th>\n",
       "      <td>29.344981</td>\n",
       "      <td>-1.545499</td>\n",
       "      <td>0.380388</td>\n",
       "      <td>-4.062949</td>\n",
       "      <td>4.845670e-05</td>\n",
       "      <td>5.760802e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109049394</td>\n",
       "      <td>109049944</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109046827</td>\n",
       "      <td>109047482</td>\n",
       "      <td>RANP5 &lt;5k</td>\n",
       "      <td>-1913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-0.660762</td>\n",
       "      <td>0.165701</td>\n",
       "      <td>-3.987685</td>\n",
       "      <td>6.672116e-05</td>\n",
       "      <td>7.418841e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109712254</td>\n",
       "      <td>109775428</td>\n",
       "      <td>GSTM5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-0.660762</td>\n",
       "      <td>0.165701</td>\n",
       "      <td>-3.987685</td>\n",
       "      <td>6.672116e-05</td>\n",
       "      <td>7.418841e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109725819</td>\n",
       "      <td>109775252</td>\n",
       "      <td>RP4-735C1.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109917885-109918906</th>\n",
       "      <td>72.108120</td>\n",
       "      <td>1.100535</td>\n",
       "      <td>0.211170</td>\n",
       "      <td>5.211615</td>\n",
       "      <td>1.872042e-07</td>\n",
       "      <td>6.113460e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109917885</td>\n",
       "      <td>109918906</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109946416-109950297</th>\n",
       "      <td>550.464851</td>\n",
       "      <td>0.733845</td>\n",
       "      <td>0.165144</td>\n",
       "      <td>4.443678</td>\n",
       "      <td>8.843413e-06</td>\n",
       "      <td>1.491758e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109946416</td>\n",
       "      <td>109950297</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1 &gt;10k</td>\n",
       "      <td>-15425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109950427-109950891</th>\n",
       "      <td>43.575947</td>\n",
       "      <td>1.255388</td>\n",
       "      <td>0.262410</td>\n",
       "      <td>4.784061</td>\n",
       "      <td>1.717883e-06</td>\n",
       "      <td>3.884011e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109950427</td>\n",
       "      <td>109950891</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1 &gt;10k</td>\n",
       "      <td>-19436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-111447160-111447719</th>\n",
       "      <td>35.740531</td>\n",
       "      <td>1.360669</td>\n",
       "      <td>0.301575</td>\n",
       "      <td>4.511872</td>\n",
       "      <td>6.425785e-06</td>\n",
       "      <td>1.155800e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111447160</td>\n",
       "      <td>111447719</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111439889</td>\n",
       "      <td>111449376</td>\n",
       "      <td>WDR77</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.279896</td>\n",
       "      <td>0.205056</td>\n",
       "      <td>6.241704</td>\n",
       "      <td>4.328285e-10</td>\n",
       "      <td>3.352312e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.279896</td>\n",
       "      <td>0.205056</td>\n",
       "      <td>6.241704</td>\n",
       "      <td>4.328285e-10</td>\n",
       "      <td>3.352312e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634718</td>\n",
       "      <td>112634784</td>\n",
       "      <td>RNU7-70P</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112639284-112639758</th>\n",
       "      <td>22.687426</td>\n",
       "      <td>1.337840</td>\n",
       "      <td>0.326700</td>\n",
       "      <td>4.095005</td>\n",
       "      <td>4.221597e-05</td>\n",
       "      <td>5.171081e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112639284</td>\n",
       "      <td>112639758</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112646035-112646630</th>\n",
       "      <td>35.861396</td>\n",
       "      <td>1.274868</td>\n",
       "      <td>0.278862</td>\n",
       "      <td>4.571686</td>\n",
       "      <td>4.838162e-06</td>\n",
       "      <td>9.149094e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112646035</td>\n",
       "      <td>112646630</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112817608-112819121</th>\n",
       "      <td>93.659445</td>\n",
       "      <td>1.608785</td>\n",
       "      <td>0.210881</td>\n",
       "      <td>7.628891</td>\n",
       "      <td>2.367820e-14</td>\n",
       "      <td>5.473651e-12</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112817608</td>\n",
       "      <td>112819121</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &lt;5k</td>\n",
       "      <td>1049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112819381-112819852</th>\n",
       "      <td>34.662846</td>\n",
       "      <td>2.137019</td>\n",
       "      <td>0.282709</td>\n",
       "      <td>7.559086</td>\n",
       "      <td>4.059101e-14</td>\n",
       "      <td>8.927856e-12</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112819381</td>\n",
       "      <td>112819852</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &lt;1k</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112826414-112826958</th>\n",
       "      <td>37.677690</td>\n",
       "      <td>1.300556</td>\n",
       "      <td>0.283900</td>\n",
       "      <td>4.581032</td>\n",
       "      <td>4.626869e-06</td>\n",
       "      <td>8.837607e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112826414</td>\n",
       "      <td>112826958</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112868969-112869313</th>\n",
       "      <td>24.522705</td>\n",
       "      <td>1.628704</td>\n",
       "      <td>0.329654</td>\n",
       "      <td>4.940650</td>\n",
       "      <td>7.786273e-07</td>\n",
       "      <td>2.007901e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112868969</td>\n",
       "      <td>112869313</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112850027</td>\n",
       "      <td>112877871</td>\n",
       "      <td>RP3-522D1.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-113964338-113965579</th>\n",
       "      <td>45.336861</td>\n",
       "      <td>2.343272</td>\n",
       "      <td>0.306405</td>\n",
       "      <td>7.647639</td>\n",
       "      <td>2.047037e-14</td>\n",
       "      <td>4.756369e-12</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113964338</td>\n",
       "      <td>113965579</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113929191</td>\n",
       "      <td>113977869</td>\n",
       "      <td>HIPK1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-113966382-113966808</th>\n",
       "      <td>20.769794</td>\n",
       "      <td>2.272512</td>\n",
       "      <td>0.354210</td>\n",
       "      <td>6.415727</td>\n",
       "      <td>1.401527e-10</td>\n",
       "      <td>1.257461e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113966382</td>\n",
       "      <td>113966808</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113929191</td>\n",
       "      <td>113977869</td>\n",
       "      <td>HIPK1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-114715458-114717611</th>\n",
       "      <td>600.223572</td>\n",
       "      <td>0.535280</td>\n",
       "      <td>0.104802</td>\n",
       "      <td>5.107553</td>\n",
       "      <td>3.263578e-07</td>\n",
       "      <td>9.702719e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114715458</td>\n",
       "      <td>114717611</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114704468</td>\n",
       "      <td>114716894</td>\n",
       "      <td>NRAS</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-114715458-114717611</th>\n",
       "      <td>600.223572</td>\n",
       "      <td>0.535280</td>\n",
       "      <td>0.104802</td>\n",
       "      <td>5.107553</td>\n",
       "      <td>3.263578e-07</td>\n",
       "      <td>9.702719e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114715458</td>\n",
       "      <td>114717611</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114716912</td>\n",
       "      <td>114758676</td>\n",
       "      <td>CSDE1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-116380982-116382455</th>\n",
       "      <td>91.490756</td>\n",
       "      <td>1.120537</td>\n",
       "      <td>0.244620</td>\n",
       "      <td>4.580731</td>\n",
       "      <td>4.633537e-06</td>\n",
       "      <td>8.837607e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116380982</td>\n",
       "      <td>116382455</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116372667</td>\n",
       "      <td>116410261</td>\n",
       "      <td>ATP1A1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-116481354-116485409</th>\n",
       "      <td>473.587821</td>\n",
       "      <td>-0.569847</td>\n",
       "      <td>0.125217</td>\n",
       "      <td>-4.550882</td>\n",
       "      <td>5.342152e-06</td>\n",
       "      <td>9.903747e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116481354</td>\n",
       "      <td>116485409</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116423723</td>\n",
       "      <td>116478842</td>\n",
       "      <td>RP4-655J12.4 &lt;5k</td>\n",
       "      <td>-2513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-119001113-119001952</th>\n",
       "      <td>78.534131</td>\n",
       "      <td>-1.816884</td>\n",
       "      <td>0.432038</td>\n",
       "      <td>-4.205377</td>\n",
       "      <td>2.606474e-05</td>\n",
       "      <td>3.530546e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>119001113</td>\n",
       "      <td>119001952</td>\n",
       "      <td>chr1</td>\n",
       "      <td>119000343</td>\n",
       "      <td>119001392</td>\n",
       "      <td>RP4-712E4.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-119001113-119001952</th>\n",
       "      <td>78.534131</td>\n",
       "      <td>-1.816884</td>\n",
       "      <td>0.432038</td>\n",
       "      <td>-4.205377</td>\n",
       "      <td>2.606474e-05</td>\n",
       "      <td>3.530546e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>119001113</td>\n",
       "      <td>119001952</td>\n",
       "      <td>chr1</td>\n",
       "      <td>119000617</td>\n",
       "      <td>119001405</td>\n",
       "      <td>RP4-712E4.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12432333-12438120</th>\n",
       "      <td>1054.940256</td>\n",
       "      <td>-0.638682</td>\n",
       "      <td>0.157982</td>\n",
       "      <td>-4.042748</td>\n",
       "      <td>5.282829e-05</td>\n",
       "      <td>6.157954e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12432333</td>\n",
       "      <td>12438120</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12230066</td>\n",
       "      <td>12512047</td>\n",
       "      <td>VPS13D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12475051-12482571</th>\n",
       "      <td>1823.526615</td>\n",
       "      <td>-0.662738</td>\n",
       "      <td>0.110942</td>\n",
       "      <td>-5.973743</td>\n",
       "      <td>2.318708e-09</td>\n",
       "      <td>1.433265e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12475051</td>\n",
       "      <td>12482571</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12230066</td>\n",
       "      <td>12512047</td>\n",
       "      <td>VPS13D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12475051-12482571</th>\n",
       "      <td>1823.526615</td>\n",
       "      <td>-0.662738</td>\n",
       "      <td>0.110942</td>\n",
       "      <td>-5.973743</td>\n",
       "      <td>2.318708e-09</td>\n",
       "      <td>1.433265e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12475051</td>\n",
       "      <td>12482571</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12481828</td>\n",
       "      <td>12481928</td>\n",
       "      <td>AC243836.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-68930397-68931701</th>\n",
       "      <td>124.608056</td>\n",
       "      <td>-1.600326</td>\n",
       "      <td>0.389988</td>\n",
       "      <td>-4.103523</td>\n",
       "      <td>4.069056e-05</td>\n",
       "      <td>5.022708e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68930397</td>\n",
       "      <td>68931701</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68828996</td>\n",
       "      <td>68842147</td>\n",
       "      <td>EFNB1 &gt;10k</td>\n",
       "      <td>-88251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-68977885-68978633</th>\n",
       "      <td>56.090988</td>\n",
       "      <td>-1.316432</td>\n",
       "      <td>0.228128</td>\n",
       "      <td>-5.770594</td>\n",
       "      <td>7.899276e-09</td>\n",
       "      <td>4.210686e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68977885</td>\n",
       "      <td>68978633</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68828996</td>\n",
       "      <td>68842147</td>\n",
       "      <td>EFNB1 &gt;10k</td>\n",
       "      <td>-135739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-68985410-68985905</th>\n",
       "      <td>32.831878</td>\n",
       "      <td>-1.605606</td>\n",
       "      <td>0.337421</td>\n",
       "      <td>-4.758467</td>\n",
       "      <td>1.950690e-06</td>\n",
       "      <td>4.305106e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68985410</td>\n",
       "      <td>68985905</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68828996</td>\n",
       "      <td>68842147</td>\n",
       "      <td>EFNB1 &gt;10k</td>\n",
       "      <td>-143264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69033552-69034383</th>\n",
       "      <td>63.347329</td>\n",
       "      <td>-1.004671</td>\n",
       "      <td>0.250127</td>\n",
       "      <td>-4.016652</td>\n",
       "      <td>5.903070e-05</td>\n",
       "      <td>6.735386e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69033552</td>\n",
       "      <td>69034383</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>126468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69036105-69038032</th>\n",
       "      <td>200.579334</td>\n",
       "      <td>-0.880682</td>\n",
       "      <td>0.221396</td>\n",
       "      <td>-3.977853</td>\n",
       "      <td>6.954044e-05</td>\n",
       "      <td>7.684897e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69036105</td>\n",
       "      <td>69038032</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>122819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69059807-69060850</th>\n",
       "      <td>107.254839</td>\n",
       "      <td>-1.279663</td>\n",
       "      <td>0.300563</td>\n",
       "      <td>-4.257557</td>\n",
       "      <td>2.066728e-05</td>\n",
       "      <td>2.935467e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69059807</td>\n",
       "      <td>69060850</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>100001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69087143-69089981</th>\n",
       "      <td>286.210911</td>\n",
       "      <td>-1.611577</td>\n",
       "      <td>0.347216</td>\n",
       "      <td>-4.641429</td>\n",
       "      <td>3.460072e-06</td>\n",
       "      <td>6.946052e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69087143</td>\n",
       "      <td>69089981</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>70870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69091323-69091795</th>\n",
       "      <td>31.002898</td>\n",
       "      <td>-1.622901</td>\n",
       "      <td>0.329342</td>\n",
       "      <td>-4.927713</td>\n",
       "      <td>8.319767e-07</td>\n",
       "      <td>2.113006e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69091323</td>\n",
       "      <td>69091795</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>69056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69094668-69095607</th>\n",
       "      <td>44.372363</td>\n",
       "      <td>-1.133889</td>\n",
       "      <td>0.253342</td>\n",
       "      <td>-4.475721</td>\n",
       "      <td>7.615383e-06</td>\n",
       "      <td>1.322013e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69094668</td>\n",
       "      <td>69095607</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>65244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69104639-69107673</th>\n",
       "      <td>280.835047</td>\n",
       "      <td>-1.422356</td>\n",
       "      <td>0.295312</td>\n",
       "      <td>-4.816446</td>\n",
       "      <td>1.461380e-06</td>\n",
       "      <td>3.386889e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69104639</td>\n",
       "      <td>69107673</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>53178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69107678-69108599</th>\n",
       "      <td>107.391269</td>\n",
       "      <td>-1.479830</td>\n",
       "      <td>0.329192</td>\n",
       "      <td>-4.495335</td>\n",
       "      <td>6.946056e-06</td>\n",
       "      <td>1.225570e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69107678</td>\n",
       "      <td>69108599</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>52252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69110066-69110544</th>\n",
       "      <td>30.335861</td>\n",
       "      <td>-1.814319</td>\n",
       "      <td>0.424243</td>\n",
       "      <td>-4.276602</td>\n",
       "      <td>1.897679e-05</td>\n",
       "      <td>2.740897e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69110066</td>\n",
       "      <td>69110544</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>50307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69221393-69222223</th>\n",
       "      <td>74.300790</td>\n",
       "      <td>-1.430011</td>\n",
       "      <td>0.339142</td>\n",
       "      <td>-4.216551</td>\n",
       "      <td>2.480671e-05</td>\n",
       "      <td>3.395671e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69221393</td>\n",
       "      <td>69222223</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-11470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69277621-69278832</th>\n",
       "      <td>108.145922</td>\n",
       "      <td>-1.662562</td>\n",
       "      <td>0.380330</td>\n",
       "      <td>-4.371366</td>\n",
       "      <td>1.234715e-05</td>\n",
       "      <td>1.943721e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69277621</td>\n",
       "      <td>69278832</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-67698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69284970-69286621</th>\n",
       "      <td>200.976837</td>\n",
       "      <td>-1.522979</td>\n",
       "      <td>0.383553</td>\n",
       "      <td>-3.970715</td>\n",
       "      <td>7.165720e-05</td>\n",
       "      <td>7.868919e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69284970</td>\n",
       "      <td>69286621</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-75047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7109532-7111732</th>\n",
       "      <td>177.155024</td>\n",
       "      <td>0.659186</td>\n",
       "      <td>0.161200</td>\n",
       "      <td>4.089245</td>\n",
       "      <td>4.327788e-05</td>\n",
       "      <td>5.271175e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7109532</td>\n",
       "      <td>7111732</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-71182340-71182892</th>\n",
       "      <td>31.085095</td>\n",
       "      <td>-1.555842</td>\n",
       "      <td>0.386697</td>\n",
       "      <td>-4.023412</td>\n",
       "      <td>5.736099e-05</td>\n",
       "      <td>6.586338e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71182340</td>\n",
       "      <td>71182892</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71183558</td>\n",
       "      <td>71198175</td>\n",
       "      <td>RP5-1091N2.9 &lt;1k</td>\n",
       "      <td>667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7120129-7120657</th>\n",
       "      <td>45.437747</td>\n",
       "      <td>1.472912</td>\n",
       "      <td>0.279500</td>\n",
       "      <td>5.269809</td>\n",
       "      <td>1.365654e-07</td>\n",
       "      <td>4.645378e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7120129</td>\n",
       "      <td>7120657</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>1.768615</td>\n",
       "      <td>0.267436</td>\n",
       "      <td>6.613232</td>\n",
       "      <td>3.760188e-11</td>\n",
       "      <td>3.934160e-09</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>1.768615</td>\n",
       "      <td>0.267436</td>\n",
       "      <td>6.613232</td>\n",
       "      <td>3.760188e-11</td>\n",
       "      <td>3.934160e-09</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.342630</td>\n",
       "      <td>0.321826</td>\n",
       "      <td>4.171915</td>\n",
       "      <td>3.020509e-05</td>\n",
       "      <td>3.963401e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.342630</td>\n",
       "      <td>0.321826</td>\n",
       "      <td>4.171915</td>\n",
       "      <td>3.020509e-05</td>\n",
       "      <td>3.963401e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79452205-79452837</th>\n",
       "      <td>33.656739</td>\n",
       "      <td>-1.294050</td>\n",
       "      <td>0.275506</td>\n",
       "      <td>-4.697000</td>\n",
       "      <td>2.640111e-06</td>\n",
       "      <td>5.537999e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79452205</td>\n",
       "      <td>79452837</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79453042-79453574</th>\n",
       "      <td>31.958500</td>\n",
       "      <td>-1.301820</td>\n",
       "      <td>0.313182</td>\n",
       "      <td>-4.156758</td>\n",
       "      <td>3.227952e-05</td>\n",
       "      <td>4.195504e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79453042</td>\n",
       "      <td>79453574</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-9148130-9148530</th>\n",
       "      <td>23.459216</td>\n",
       "      <td>1.274615</td>\n",
       "      <td>0.316925</td>\n",
       "      <td>4.021824</td>\n",
       "      <td>5.774913e-05</td>\n",
       "      <td>6.620838e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>9148130</td>\n",
       "      <td>9148530</td>\n",
       "      <td>chrX</td>\n",
       "      <td>9024231</td>\n",
       "      <td>9164639</td>\n",
       "      <td>FAM9B</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96978842-96980758</th>\n",
       "      <td>130.731951</td>\n",
       "      <td>0.907486</td>\n",
       "      <td>0.165943</td>\n",
       "      <td>5.468652</td>\n",
       "      <td>4.534701e-08</td>\n",
       "      <td>1.834489e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96978842</td>\n",
       "      <td>96980758</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96980936-96981282</th>\n",
       "      <td>22.106884</td>\n",
       "      <td>1.694584</td>\n",
       "      <td>0.328299</td>\n",
       "      <td>5.161701</td>\n",
       "      <td>2.447159e-07</td>\n",
       "      <td>7.639367e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96980936</td>\n",
       "      <td>96981282</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96981481-96982270</th>\n",
       "      <td>74.033348</td>\n",
       "      <td>1.738093</td>\n",
       "      <td>0.263929</td>\n",
       "      <td>6.585447</td>\n",
       "      <td>4.535181e-11</td>\n",
       "      <td>4.648971e-09</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96981481</td>\n",
       "      <td>96982270</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96982600-96983282</th>\n",
       "      <td>66.057267</td>\n",
       "      <td>1.957243</td>\n",
       "      <td>0.286952</td>\n",
       "      <td>6.820795</td>\n",
       "      <td>9.053805e-12</td>\n",
       "      <td>1.114725e-09</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96982600</td>\n",
       "      <td>96983282</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96983571-96985630</th>\n",
       "      <td>111.085318</td>\n",
       "      <td>2.015490</td>\n",
       "      <td>0.271933</td>\n",
       "      <td>7.411706</td>\n",
       "      <td>1.246852e-13</td>\n",
       "      <td>2.373682e-11</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96983571</td>\n",
       "      <td>96985630</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4872 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr1-105137052-105139071   213.505063       -0.794879  0.168667 -4.712703   \n",
       "chr1-105350097-105351227    59.321446        1.550923  0.341074  4.547167   \n",
       "chr1-105351987-105352940    39.428125        1.545596  0.343432  4.500442   \n",
       "chr1-105631073-105631887    55.788257       -2.817553  0.468848 -6.009528   \n",
       "chr1-109049394-109049944    29.344981       -1.545499  0.380388 -4.062949   \n",
       "chr1-109730222-109733088   216.295926       -0.660762  0.165701 -3.987685   \n",
       "chr1-109730222-109733088   216.295926       -0.660762  0.165701 -3.987685   \n",
       "chr1-109917885-109918906    72.108120        1.100535  0.211170  5.211615   \n",
       "chr1-109946416-109950297   550.464851        0.733845  0.165144  4.443678   \n",
       "chr1-109950427-109950891    43.575947        1.255388  0.262410  4.784061   \n",
       "chr1-111447160-111447719    35.740531        1.360669  0.301575  4.511872   \n",
       "chr1-112634672-112638850   437.429351        1.279896  0.205056  6.241704   \n",
       "chr1-112634672-112638850   437.429351        1.279896  0.205056  6.241704   \n",
       "chr1-112639284-112639758    22.687426        1.337840  0.326700  4.095005   \n",
       "chr1-112646035-112646630    35.861396        1.274868  0.278862  4.571686   \n",
       "chr1-112817608-112819121    93.659445        1.608785  0.210881  7.628891   \n",
       "chr1-112819381-112819852    34.662846        2.137019  0.282709  7.559086   \n",
       "chr1-112826414-112826958    37.677690        1.300556  0.283900  4.581032   \n",
       "chr1-112868969-112869313    24.522705        1.628704  0.329654  4.940650   \n",
       "chr1-113964338-113965579    45.336861        2.343272  0.306405  7.647639   \n",
       "chr1-113966382-113966808    20.769794        2.272512  0.354210  6.415727   \n",
       "chr1-114715458-114717611   600.223572        0.535280  0.104802  5.107553   \n",
       "chr1-114715458-114717611   600.223572        0.535280  0.104802  5.107553   \n",
       "chr1-116380982-116382455    91.490756        1.120537  0.244620  4.580731   \n",
       "chr1-116481354-116485409   473.587821       -0.569847  0.125217 -4.550882   \n",
       "chr1-119001113-119001952    78.534131       -1.816884  0.432038 -4.205377   \n",
       "chr1-119001113-119001952    78.534131       -1.816884  0.432038 -4.205377   \n",
       "chr1-12432333-12438120    1054.940256       -0.638682  0.157982 -4.042748   \n",
       "chr1-12475051-12482571    1823.526615       -0.662738  0.110942 -5.973743   \n",
       "chr1-12475051-12482571    1823.526615       -0.662738  0.110942 -5.973743   \n",
       "...                               ...             ...       ...       ...   \n",
       "chrX-68930397-68931701     124.608056       -1.600326  0.389988 -4.103523   \n",
       "chrX-68977885-68978633      56.090988       -1.316432  0.228128 -5.770594   \n",
       "chrX-68985410-68985905      32.831878       -1.605606  0.337421 -4.758467   \n",
       "chrX-69033552-69034383      63.347329       -1.004671  0.250127 -4.016652   \n",
       "chrX-69036105-69038032     200.579334       -0.880682  0.221396 -3.977853   \n",
       "chrX-69059807-69060850     107.254839       -1.279663  0.300563 -4.257557   \n",
       "chrX-69087143-69089981     286.210911       -1.611577  0.347216 -4.641429   \n",
       "chrX-69091323-69091795      31.002898       -1.622901  0.329342 -4.927713   \n",
       "chrX-69094668-69095607      44.372363       -1.133889  0.253342 -4.475721   \n",
       "chrX-69104639-69107673     280.835047       -1.422356  0.295312 -4.816446   \n",
       "chrX-69107678-69108599     107.391269       -1.479830  0.329192 -4.495335   \n",
       "chrX-69110066-69110544      30.335861       -1.814319  0.424243 -4.276602   \n",
       "chrX-69221393-69222223      74.300790       -1.430011  0.339142 -4.216551   \n",
       "chrX-69277621-69278832     108.145922       -1.662562  0.380330 -4.371366   \n",
       "chrX-69284970-69286621     200.976837       -1.522979  0.383553 -3.970715   \n",
       "chrX-7109532-7111732       177.155024        0.659186  0.161200  4.089245   \n",
       "chrX-71182340-71182892      31.085095       -1.555842  0.386697 -4.023412   \n",
       "chrX-7120129-7120657        45.437747        1.472912  0.279500  5.269809   \n",
       "chrX-72271456-72272562      68.468871        1.768615  0.267436  6.613232   \n",
       "chrX-72271456-72272562      68.468871        1.768615  0.267436  6.613232   \n",
       "chrX-72272823-72273169      21.280833        1.342630  0.321826  4.171915   \n",
       "chrX-72272823-72273169      21.280833        1.342630  0.321826  4.171915   \n",
       "chrX-79452205-79452837      33.656739       -1.294050  0.275506 -4.697000   \n",
       "chrX-79453042-79453574      31.958500       -1.301820  0.313182 -4.156758   \n",
       "chrX-9148130-9148530        23.459216        1.274615  0.316925  4.021824   \n",
       "chrX-96978842-96980758     130.731951        0.907486  0.165943  5.468652   \n",
       "chrX-96980936-96981282      22.106884        1.694584  0.328299  5.161701   \n",
       "chrX-96981481-96982270      74.033348        1.738093  0.263929  6.585447   \n",
       "chrX-96982600-96983282      66.057267        1.957243  0.286952  6.820795   \n",
       "chrX-96983571-96985630     111.085318        2.015490  0.271933  7.411706   \n",
       "\n",
       "                                pvalue          padj chrom_peak  start_peak  \\\n",
       "chr1-105137052-105139071  2.444522e-06  5.203040e-05       chr1   105137052   \n",
       "chr1-105350097-105351227  5.437281e-06  1.005542e-04       chr1   105350097   \n",
       "chr1-105351987-105352940  6.781216e-06  1.204902e-04       chr1   105351987   \n",
       "chr1-105631073-105631887  1.860647e-09  1.182385e-07       chr1   105631073   \n",
       "chr1-109049394-109049944  4.845670e-05  5.760802e-04       chr1   109049394   \n",
       "chr1-109730222-109733088  6.672116e-05  7.418841e-04       chr1   109730222   \n",
       "chr1-109730222-109733088  6.672116e-05  7.418841e-04       chr1   109730222   \n",
       "chr1-109917885-109918906  1.872042e-07  6.113460e-06       chr1   109917885   \n",
       "chr1-109946416-109950297  8.843413e-06  1.491758e-04       chr1   109946416   \n",
       "chr1-109950427-109950891  1.717883e-06  3.884011e-05       chr1   109950427   \n",
       "chr1-111447160-111447719  6.425785e-06  1.155800e-04       chr1   111447160   \n",
       "chr1-112634672-112638850  4.328285e-10  3.352312e-08       chr1   112634672   \n",
       "chr1-112634672-112638850  4.328285e-10  3.352312e-08       chr1   112634672   \n",
       "chr1-112639284-112639758  4.221597e-05  5.171081e-04       chr1   112639284   \n",
       "chr1-112646035-112646630  4.838162e-06  9.149094e-05       chr1   112646035   \n",
       "chr1-112817608-112819121  2.367820e-14  5.473651e-12       chr1   112817608   \n",
       "chr1-112819381-112819852  4.059101e-14  8.927856e-12       chr1   112819381   \n",
       "chr1-112826414-112826958  4.626869e-06  8.837607e-05       chr1   112826414   \n",
       "chr1-112868969-112869313  7.786273e-07  2.007901e-05       chr1   112868969   \n",
       "chr1-113964338-113965579  2.047037e-14  4.756369e-12       chr1   113964338   \n",
       "chr1-113966382-113966808  1.401527e-10  1.257461e-08       chr1   113966382   \n",
       "chr1-114715458-114717611  3.263578e-07  9.702719e-06       chr1   114715458   \n",
       "chr1-114715458-114717611  3.263578e-07  9.702719e-06       chr1   114715458   \n",
       "chr1-116380982-116382455  4.633537e-06  8.837607e-05       chr1   116380982   \n",
       "chr1-116481354-116485409  5.342152e-06  9.903747e-05       chr1   116481354   \n",
       "chr1-119001113-119001952  2.606474e-05  3.530546e-04       chr1   119001113   \n",
       "chr1-119001113-119001952  2.606474e-05  3.530546e-04       chr1   119001113   \n",
       "chr1-12432333-12438120    5.282829e-05  6.157954e-04       chr1    12432333   \n",
       "chr1-12475051-12482571    2.318708e-09  1.433265e-07       chr1    12475051   \n",
       "chr1-12475051-12482571    2.318708e-09  1.433265e-07       chr1    12475051   \n",
       "...                                ...           ...        ...         ...   \n",
       "chrX-68930397-68931701    4.069056e-05  5.022708e-04       chrX    68930397   \n",
       "chrX-68977885-68978633    7.899276e-09  4.210686e-07       chrX    68977885   \n",
       "chrX-68985410-68985905    1.950690e-06  4.305106e-05       chrX    68985410   \n",
       "chrX-69033552-69034383    5.903070e-05  6.735386e-04       chrX    69033552   \n",
       "chrX-69036105-69038032    6.954044e-05  7.684897e-04       chrX    69036105   \n",
       "chrX-69059807-69060850    2.066728e-05  2.935467e-04       chrX    69059807   \n",
       "chrX-69087143-69089981    3.460072e-06  6.946052e-05       chrX    69087143   \n",
       "chrX-69091323-69091795    8.319767e-07  2.113006e-05       chrX    69091323   \n",
       "chrX-69094668-69095607    7.615383e-06  1.322013e-04       chrX    69094668   \n",
       "chrX-69104639-69107673    1.461380e-06  3.386889e-05       chrX    69104639   \n",
       "chrX-69107678-69108599    6.946056e-06  1.225570e-04       chrX    69107678   \n",
       "chrX-69110066-69110544    1.897679e-05  2.740897e-04       chrX    69110066   \n",
       "chrX-69221393-69222223    2.480671e-05  3.395671e-04       chrX    69221393   \n",
       "chrX-69277621-69278832    1.234715e-05  1.943721e-04       chrX    69277621   \n",
       "chrX-69284970-69286621    7.165720e-05  7.868919e-04       chrX    69284970   \n",
       "chrX-7109532-7111732      4.327788e-05  5.271175e-04       chrX     7109532   \n",
       "chrX-71182340-71182892    5.736099e-05  6.586338e-04       chrX    71182340   \n",
       "chrX-7120129-7120657      1.365654e-07  4.645378e-06       chrX     7120129   \n",
       "chrX-72271456-72272562    3.760188e-11  3.934160e-09       chrX    72271456   \n",
       "chrX-72271456-72272562    3.760188e-11  3.934160e-09       chrX    72271456   \n",
       "chrX-72272823-72273169    3.020509e-05  3.963401e-04       chrX    72272823   \n",
       "chrX-72272823-72273169    3.020509e-05  3.963401e-04       chrX    72272823   \n",
       "chrX-79452205-79452837    2.640111e-06  5.537999e-05       chrX    79452205   \n",
       "chrX-79453042-79453574    3.227952e-05  4.195504e-04       chrX    79453042   \n",
       "chrX-9148130-9148530      5.774913e-05  6.620838e-04       chrX     9148130   \n",
       "chrX-96978842-96980758    4.534701e-08  1.834489e-06       chrX    96978842   \n",
       "chrX-96980936-96981282    2.447159e-07  7.639367e-06       chrX    96980936   \n",
       "chrX-96981481-96982270    4.535181e-11  4.648971e-09       chrX    96981481   \n",
       "chrX-96982600-96983282    9.053805e-12  1.114725e-09       chrX    96982600   \n",
       "chrX-96983571-96985630    1.246852e-13  2.373682e-11       chrX    96983571   \n",
       "\n",
       "                           end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr1-105137052-105139071  105139071       chr1   105433993  105434821   \n",
       "chr1-105350097-105351227  105351227       chr1   105433993  105434821   \n",
       "chr1-105351987-105352940  105352940       chr1   105433993  105434821   \n",
       "chr1-105631073-105631887  105631887       chr1   105587574  105618958   \n",
       "chr1-109049394-109049944  109049944       chr1   109046827  109047482   \n",
       "chr1-109730222-109733088  109733088       chr1   109712254  109775428   \n",
       "chr1-109730222-109733088  109733088       chr1   109725819  109775252   \n",
       "chr1-109917885-109918906  109918906       chr1   109910241  109930992   \n",
       "chr1-109946416-109950297  109950297       chr1   109910241  109930992   \n",
       "chr1-109950427-109950891  109950891       chr1   109910241  109930992   \n",
       "chr1-111447160-111447719  111447719       chr1   111439889  111449376   \n",
       "chr1-112634672-112638850  112638850       chr1   112619172  112671619   \n",
       "chr1-112634672-112638850  112638850       chr1   112634718  112634784   \n",
       "chr1-112639284-112639758  112639758       chr1   112619172  112671619   \n",
       "chr1-112646035-112646630  112646630       chr1   112619172  112671619   \n",
       "chr1-112817608-112819121  112819121       chr1   112820169  112850643   \n",
       "chr1-112819381-112819852  112819852       chr1   112820169  112850643   \n",
       "chr1-112826414-112826958  112826958       chr1   112820169  112850643   \n",
       "chr1-112868969-112869313  112869313       chr1   112850027  112877871   \n",
       "chr1-113964338-113965579  113965579       chr1   113929191  113977869   \n",
       "chr1-113966382-113966808  113966808       chr1   113929191  113977869   \n",
       "chr1-114715458-114717611  114717611       chr1   114704468  114716894   \n",
       "chr1-114715458-114717611  114717611       chr1   114716912  114758676   \n",
       "chr1-116380982-116382455  116382455       chr1   116372667  116410261   \n",
       "chr1-116481354-116485409  116485409       chr1   116423723  116478842   \n",
       "chr1-119001113-119001952  119001952       chr1   119000343  119001392   \n",
       "chr1-119001113-119001952  119001952       chr1   119000617  119001405   \n",
       "chr1-12432333-12438120     12438120       chr1    12230066   12512047   \n",
       "chr1-12475051-12482571     12482571       chr1    12230066   12512047   \n",
       "chr1-12475051-12482571     12482571       chr1    12481828   12481928   \n",
       "...                             ...        ...         ...        ...   \n",
       "chrX-68930397-68931701     68931701       chrX    68828996   68842147   \n",
       "chrX-68977885-68978633     68978633       chrX    68828996   68842147   \n",
       "chrX-68985410-68985905     68985905       chrX    68828996   68842147   \n",
       "chrX-69033552-69034383     69034383       chrX    69160850   69165793   \n",
       "chrX-69036105-69038032     69038032       chrX    69160850   69165793   \n",
       "chrX-69059807-69060850     69060850       chrX    69160850   69165793   \n",
       "chrX-69087143-69089981     69089981       chrX    69160850   69165793   \n",
       "chrX-69091323-69091795     69091795       chrX    69160850   69165793   \n",
       "chrX-69094668-69095607     69095607       chrX    69160850   69165793   \n",
       "chrX-69104639-69107673     69107673       chrX    69160850   69165793   \n",
       "chrX-69107678-69108599     69108599       chrX    69160850   69165793   \n",
       "chrX-69110066-69110544     69110544       chrX    69160850   69165793   \n",
       "chrX-69221393-69222223     69222223       chrX    69179556   69209924   \n",
       "chrX-69277621-69278832     69278832       chrX    69179556   69209924   \n",
       "chrX-69284970-69286621     69286621       chrX    69179556   69209924   \n",
       "chrX-7109532-7111732        7111732       chrX     7048919    7148190   \n",
       "chrX-71182340-71182892     71182892       chrX    71183558   71198175   \n",
       "chrX-7120129-7120657        7120657       chrX     7048919    7148190   \n",
       "chrX-72271456-72272562     72272562       chrX    72181352   72302926   \n",
       "chrX-72271456-72272562     72272562       chrX    72255678   72277300   \n",
       "chrX-72272823-72273169     72273169       chrX    72181352   72302926   \n",
       "chrX-72272823-72273169     72273169       chrX    72255678   72277300   \n",
       "chrX-79452205-79452837     79452837       chrX    79369363   79370165   \n",
       "chrX-79453042-79453574     79453574       chrX    79369363   79370165   \n",
       "chrX-9148130-9148530        9148530       chrX     9024231    9164639   \n",
       "chrX-96978842-96980758     96980758       chrX    96684662   97604997   \n",
       "chrX-96980936-96981282     96981282       chrX    96684662   97604997   \n",
       "chrX-96981481-96982270     96982270       chrX    96684662   97604997   \n",
       "chrX-96982600-96983282     96983282       chrX    96684662   97604997   \n",
       "chrX-96983571-96985630     96985630       chrX    96684662   97604997   \n",
       "\n",
       "                                  gene_name  distance  \n",
       "chr1-105137052-105139071  RP11-414B7.1 >10k    294923  \n",
       "chr1-105350097-105351227  RP11-414B7.1 >10k     82767  \n",
       "chr1-105351987-105352940  RP11-414B7.1 >10k     81054  \n",
       "chr1-105631073-105631887  RP11-251P6.1 >10k    -12116  \n",
       "chr1-109049394-109049944          RANP5 <5k     -1913  \n",
       "chr1-109730222-109733088             GSTM5          0  \n",
       "chr1-109730222-109733088       RP4-735C1.4          0  \n",
       "chr1-109917885-109918906              CSF1          0  \n",
       "chr1-109946416-109950297          CSF1 >10k    -15425  \n",
       "chr1-109950427-109950891          CSF1 >10k    -19436  \n",
       "chr1-111447160-111447719             WDR77          0  \n",
       "chr1-112634672-112638850            CAPZA1          0  \n",
       "chr1-112634672-112638850          RNU7-70P          0  \n",
       "chr1-112639284-112639758            CAPZA1          0  \n",
       "chr1-112646035-112646630            CAPZA1          0  \n",
       "chr1-112817608-112819121      LINC01356 <5k      1049  \n",
       "chr1-112819381-112819852      LINC01356 <1k       318  \n",
       "chr1-112826414-112826958         LINC01356          0  \n",
       "chr1-112868969-112869313       RP3-522D1.1          0  \n",
       "chr1-113964338-113965579             HIPK1          0  \n",
       "chr1-113966382-113966808             HIPK1          0  \n",
       "chr1-114715458-114717611              NRAS          0  \n",
       "chr1-114715458-114717611             CSDE1          0  \n",
       "chr1-116380982-116382455            ATP1A1          0  \n",
       "chr1-116481354-116485409   RP4-655J12.4 <5k     -2513  \n",
       "chr1-119001113-119001952       RP4-712E4.1          0  \n",
       "chr1-119001113-119001952       RP4-712E4.2          0  \n",
       "chr1-12432333-12438120              VPS13D          0  \n",
       "chr1-12475051-12482571              VPS13D          0  \n",
       "chr1-12475051-12482571          AC243836.1          0  \n",
       "...                                     ...       ...  \n",
       "chrX-68930397-68931701           EFNB1 >10k    -88251  \n",
       "chrX-68977885-68978633           EFNB1 >10k   -135739  \n",
       "chrX-68985410-68985905           EFNB1 >10k   -143264  \n",
       "chrX-69033552-69034383            PJA1 >10k    126468  \n",
       "chrX-69036105-69038032            PJA1 >10k    122819  \n",
       "chrX-69059807-69060850            PJA1 >10k    100001  \n",
       "chrX-69087143-69089981            PJA1 >10k     70870  \n",
       "chrX-69091323-69091795            PJA1 >10k     69056  \n",
       "chrX-69094668-69095607            PJA1 >10k     65244  \n",
       "chrX-69104639-69107673            PJA1 >10k     53178  \n",
       "chrX-69107678-69108599            PJA1 >10k     52252  \n",
       "chrX-69110066-69110544            PJA1 >10k     50307  \n",
       "chrX-69221393-69222223       LINC00269 >10k    -11470  \n",
       "chrX-69277621-69278832       LINC00269 >10k    -67698  \n",
       "chrX-69284970-69286621       LINC00269 >10k    -75047  \n",
       "chrX-7109532-7111732                 HDHD1          0  \n",
       "chrX-71182340-71182892     RP5-1091N2.9 <1k       667  \n",
       "chrX-7120129-7120657                 HDHD1          0  \n",
       "chrX-72271456-72272562                PIN4          0  \n",
       "chrX-72271456-72272562               RPS4X          0  \n",
       "chrX-72272823-72273169                PIN4          0  \n",
       "chrX-72272823-72273169               RPS4X          0  \n",
       "chrX-79452205-79452837    RP1-164L12.1 >10k    -82041  \n",
       "chrX-79453042-79453574    RP1-164L12.1 >10k    -82878  \n",
       "chrX-9148130-9148530                 FAM9B          0  \n",
       "chrX-96978842-96980758              DIAPH2          0  \n",
       "chrX-96980936-96981282              DIAPH2          0  \n",
       "chrX-96981481-96982270              DIAPH2          0  \n",
       "chrX-96982600-96983282              DIAPH2          0  \n",
       "chrX-96983571-96985630              DIAPH2          0  \n",
       "\n",
       "[4872 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== Gefit_vs_DMSO ======\n"
     ]
    },
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       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
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       "      <th>stat</th>\n",
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       "Columns: [baseMean, log2FoldChange, lfcSE, stat, pvalue, padj, chrom_peak, start_peak, end_peak, chrom_gene, start_gene, end_gene, gene_name, distance]\n",
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      "====== Vorino_vs_DMSO ======\n"
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "      <th>chrom_peak</th>\n",
       "      <th>start_peak</th>\n",
       "      <th>end_peak</th>\n",
       "      <th>chrom_gene</th>\n",
       "      <th>start_gene</th>\n",
       "      <th>end_gene</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>chr1-100249047-100249915</th>\n",
       "      <td>242.003131</td>\n",
       "      <td>-0.659618</td>\n",
       "      <td>0.148191</td>\n",
       "      <td>-4.451137</td>\n",
       "      <td>8.541674e-06</td>\n",
       "      <td>4.134772e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>100249047</td>\n",
       "      <td>100249915</td>\n",
       "      <td>chr1</td>\n",
       "      <td>100186918</td>\n",
       "      <td>100249834</td>\n",
       "      <td>DBT</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-100249047-100249915</th>\n",
       "      <td>242.003131</td>\n",
       "      <td>-0.659618</td>\n",
       "      <td>0.148191</td>\n",
       "      <td>-4.451137</td>\n",
       "      <td>8.541674e-06</td>\n",
       "      <td>4.134772e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>100249047</td>\n",
       "      <td>100249915</td>\n",
       "      <td>chr1</td>\n",
       "      <td>100249089</td>\n",
       "      <td>100249311</td>\n",
       "      <td>RP11-305E17.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-101024769-101026946</th>\n",
       "      <td>754.214203</td>\n",
       "      <td>-1.218344</td>\n",
       "      <td>0.215382</td>\n",
       "      <td>-5.656655</td>\n",
       "      <td>1.543514e-08</td>\n",
       "      <td>3.271089e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>101024769</td>\n",
       "      <td>101026946</td>\n",
       "      <td>chr1</td>\n",
       "      <td>100989622</td>\n",
       "      <td>101026088</td>\n",
       "      <td>DPH5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-101024769-101026946</th>\n",
       "      <td>754.214203</td>\n",
       "      <td>-1.218344</td>\n",
       "      <td>0.215382</td>\n",
       "      <td>-5.656655</td>\n",
       "      <td>1.543514e-08</td>\n",
       "      <td>3.271089e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>101024769</td>\n",
       "      <td>101026946</td>\n",
       "      <td>chr1</td>\n",
       "      <td>101025877</td>\n",
       "      <td>101087268</td>\n",
       "      <td>RP11-421L21.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105631073-105631887</th>\n",
       "      <td>55.788257</td>\n",
       "      <td>-2.219664</td>\n",
       "      <td>0.464994</td>\n",
       "      <td>-4.773533</td>\n",
       "      <td>1.810222e-06</td>\n",
       "      <td>1.329325e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105631073</td>\n",
       "      <td>105631887</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105587574</td>\n",
       "      <td>105618958</td>\n",
       "      <td>RP11-251P6.1 &gt;10k</td>\n",
       "      <td>-12116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-106619116-106621947</th>\n",
       "      <td>390.698064</td>\n",
       "      <td>-1.640321</td>\n",
       "      <td>0.326461</td>\n",
       "      <td>-5.024553</td>\n",
       "      <td>5.046068e-07</td>\n",
       "      <td>4.916823e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106619116</td>\n",
       "      <td>106621947</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106544341</td>\n",
       "      <td>106544744</td>\n",
       "      <td>RP11-478L17.1 &gt;10k</td>\n",
       "      <td>-74373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-106747103-106748121</th>\n",
       "      <td>107.942704</td>\n",
       "      <td>-0.984736</td>\n",
       "      <td>0.225618</td>\n",
       "      <td>-4.364621</td>\n",
       "      <td>1.273434e-05</td>\n",
       "      <td>5.458660e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106747103</td>\n",
       "      <td>106748121</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106780222</td>\n",
       "      <td>106780435</td>\n",
       "      <td>RP11-110F24.1 &gt;10k</td>\n",
       "      <td>32102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109658233-109659183</th>\n",
       "      <td>73.270373</td>\n",
       "      <td>0.922988</td>\n",
       "      <td>0.216310</td>\n",
       "      <td>4.266974</td>\n",
       "      <td>1.981425e-05</td>\n",
       "      <td>7.375183e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109658233</td>\n",
       "      <td>109659183</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109656080</td>\n",
       "      <td>109674836</td>\n",
       "      <td>GSTM4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112617912-112621111</th>\n",
       "      <td>1733.630249</td>\n",
       "      <td>-1.277731</td>\n",
       "      <td>0.294180</td>\n",
       "      <td>-4.343363</td>\n",
       "      <td>1.403178e-05</td>\n",
       "      <td>5.864998e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112617912</td>\n",
       "      <td>112621111</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112523517</td>\n",
       "      <td>112620825</td>\n",
       "      <td>ST7L</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112617912-112621111</th>\n",
       "      <td>1733.630249</td>\n",
       "      <td>-1.277731</td>\n",
       "      <td>0.294180</td>\n",
       "      <td>-4.343363</td>\n",
       "      <td>1.403178e-05</td>\n",
       "      <td>5.864998e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112617912</td>\n",
       "      <td>112621111</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-114580778-114582290</th>\n",
       "      <td>347.075441</td>\n",
       "      <td>-0.572035</td>\n",
       "      <td>0.122235</td>\n",
       "      <td>-4.679808</td>\n",
       "      <td>2.871433e-06</td>\n",
       "      <td>1.885533e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114580778</td>\n",
       "      <td>114582290</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114567556</td>\n",
       "      <td>114581639</td>\n",
       "      <td>BCAS2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-11720819-11721787</th>\n",
       "      <td>48.482599</td>\n",
       "      <td>1.211491</td>\n",
       "      <td>0.260213</td>\n",
       "      <td>4.655770</td>\n",
       "      <td>3.227714e-06</td>\n",
       "      <td>2.059782e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11720819</td>\n",
       "      <td>11721787</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11691728</td>\n",
       "      <td>11725857</td>\n",
       "      <td>DRAXIN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-120354757-120355053</th>\n",
       "      <td>45.157722</td>\n",
       "      <td>-2.037589</td>\n",
       "      <td>0.470197</td>\n",
       "      <td>-4.333480</td>\n",
       "      <td>1.467704e-05</td>\n",
       "      <td>6.039983e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>120354757</td>\n",
       "      <td>120355053</td>\n",
       "      <td>chr1</td>\n",
       "      <td>120354986</td>\n",
       "      <td>120355148</td>\n",
       "      <td>U1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12482904-12488621</th>\n",
       "      <td>1345.727188</td>\n",
       "      <td>-0.611501</td>\n",
       "      <td>0.092878</td>\n",
       "      <td>-6.583886</td>\n",
       "      <td>4.583071e-11</td>\n",
       "      <td>2.563634e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12482904</td>\n",
       "      <td>12488621</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12230066</td>\n",
       "      <td>12512047</td>\n",
       "      <td>VPS13D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-144546389-144546901</th>\n",
       "      <td>97.797046</td>\n",
       "      <td>-1.583362</td>\n",
       "      <td>0.366524</td>\n",
       "      <td>-4.319946</td>\n",
       "      <td>1.560672e-05</td>\n",
       "      <td>6.311224e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>144546389</td>\n",
       "      <td>144546901</td>\n",
       "      <td>chr1</td>\n",
       "      <td>144551778</td>\n",
       "      <td>144551943</td>\n",
       "      <td>U1 &lt;5k</td>\n",
       "      <td>4878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-145465701-145466017</th>\n",
       "      <td>47.194106</td>\n",
       "      <td>-1.937527</td>\n",
       "      <td>0.416010</td>\n",
       "      <td>-4.657402</td>\n",
       "      <td>3.202255e-06</td>\n",
       "      <td>2.046480e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145465701</td>\n",
       "      <td>145466017</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145465616</td>\n",
       "      <td>145465780</td>\n",
       "      <td>U1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-145925930-145929162</th>\n",
       "      <td>905.189643</td>\n",
       "      <td>-0.635724</td>\n",
       "      <td>0.108011</td>\n",
       "      <td>-5.885755</td>\n",
       "      <td>3.962413e-09</td>\n",
       "      <td>1.081524e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145925930</td>\n",
       "      <td>145929162</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145921555</td>\n",
       "      <td>145927495</td>\n",
       "      <td>RBM8A</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-145925930-145929162</th>\n",
       "      <td>905.189643</td>\n",
       "      <td>-0.635724</td>\n",
       "      <td>0.108011</td>\n",
       "      <td>-5.885755</td>\n",
       "      <td>3.962413e-09</td>\n",
       "      <td>1.081524e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145925930</td>\n",
       "      <td>145929162</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145926589</td>\n",
       "      <td>145959179</td>\n",
       "      <td>RP11-315I20.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-145925930-145929162</th>\n",
       "      <td>905.189643</td>\n",
       "      <td>-0.635724</td>\n",
       "      <td>0.108011</td>\n",
       "      <td>-5.885755</td>\n",
       "      <td>3.962413e-09</td>\n",
       "      <td>1.081524e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145925930</td>\n",
       "      <td>145929162</td>\n",
       "      <td>chr1</td>\n",
       "      <td>145927257</td>\n",
       "      <td>145977811</td>\n",
       "      <td>CH17-270A2.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-146039471-146040117</th>\n",
       "      <td>44.218398</td>\n",
       "      <td>0.991182</td>\n",
       "      <td>0.230898</td>\n",
       "      <td>4.292735</td>\n",
       "      <td>1.764854e-05</td>\n",
       "      <td>6.805428e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>146039471</td>\n",
       "      <td>146040117</td>\n",
       "      <td>chr1</td>\n",
       "      <td>146052080</td>\n",
       "      <td>146052244</td>\n",
       "      <td>RNVU1-6 &gt;10k</td>\n",
       "      <td>11964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-146052159-146052941</th>\n",
       "      <td>212.900424</td>\n",
       "      <td>-2.003845</td>\n",
       "      <td>0.432793</td>\n",
       "      <td>-4.630028</td>\n",
       "      <td>3.656158e-06</td>\n",
       "      <td>2.252632e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>146052159</td>\n",
       "      <td>146052941</td>\n",
       "      <td>chr1</td>\n",
       "      <td>146052080</td>\n",
       "      <td>146052244</td>\n",
       "      <td>RNVU1-6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-146052159-146052941</th>\n",
       "      <td>212.900424</td>\n",
       "      <td>-2.003845</td>\n",
       "      <td>0.432793</td>\n",
       "      <td>-4.630028</td>\n",
       "      <td>3.656158e-06</td>\n",
       "      <td>2.252632e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>146052159</td>\n",
       "      <td>146052941</td>\n",
       "      <td>chr1</td>\n",
       "      <td>146052565</td>\n",
       "      <td>146061948</td>\n",
       "      <td>RP11-458D21.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-147537058-147543602</th>\n",
       "      <td>2086.750931</td>\n",
       "      <td>-0.744985</td>\n",
       "      <td>0.175847</td>\n",
       "      <td>-4.236546</td>\n",
       "      <td>2.269844e-05</td>\n",
       "      <td>8.104362e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>147537058</td>\n",
       "      <td>147543602</td>\n",
       "      <td>chr1</td>\n",
       "      <td>147541411</td>\n",
       "      <td>147626216</td>\n",
       "      <td>BCL9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-147585228-147588119</th>\n",
       "      <td>746.176932</td>\n",
       "      <td>-0.503196</td>\n",
       "      <td>0.110301</td>\n",
       "      <td>-4.562036</td>\n",
       "      <td>5.066004e-06</td>\n",
       "      <td>2.812936e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>147585228</td>\n",
       "      <td>147588119</td>\n",
       "      <td>chr1</td>\n",
       "      <td>147541411</td>\n",
       "      <td>147626216</td>\n",
       "      <td>BCL9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-148334709-148335535</th>\n",
       "      <td>234.451191</td>\n",
       "      <td>-1.749860</td>\n",
       "      <td>0.404254</td>\n",
       "      <td>-4.328614</td>\n",
       "      <td>1.500509e-05</td>\n",
       "      <td>6.147068e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>148334709</td>\n",
       "      <td>148335535</td>\n",
       "      <td>chr1</td>\n",
       "      <td>148328998</td>\n",
       "      <td>148344636</td>\n",
       "      <td>RP11-495P10.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-148334709-148335535</th>\n",
       "      <td>234.451191</td>\n",
       "      <td>-1.749860</td>\n",
       "      <td>0.404254</td>\n",
       "      <td>-4.328614</td>\n",
       "      <td>1.500509e-05</td>\n",
       "      <td>6.147068e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>148334709</td>\n",
       "      <td>148335535</td>\n",
       "      <td>chr1</td>\n",
       "      <td>148334611</td>\n",
       "      <td>148334767</td>\n",
       "      <td>RNU1-122P</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-149103231-149103950</th>\n",
       "      <td>82.378593</td>\n",
       "      <td>-2.039786</td>\n",
       "      <td>0.459584</td>\n",
       "      <td>-4.438336</td>\n",
       "      <td>9.065714e-06</td>\n",
       "      <td>4.301135e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>149103231</td>\n",
       "      <td>149103950</td>\n",
       "      <td>chr1</td>\n",
       "      <td>149054026</td>\n",
       "      <td>149103561</td>\n",
       "      <td>NBPF9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-14943138-14944044</th>\n",
       "      <td>75.254820</td>\n",
       "      <td>-0.823721</td>\n",
       "      <td>0.191637</td>\n",
       "      <td>-4.298352</td>\n",
       "      <td>1.720725e-05</td>\n",
       "      <td>6.732670e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>14943138</td>\n",
       "      <td>14944044</td>\n",
       "      <td>chr1</td>\n",
       "      <td>14598703</td>\n",
       "      <td>15118043</td>\n",
       "      <td>KAZN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-149636230-149636871</th>\n",
       "      <td>127.064647</td>\n",
       "      <td>-1.796635</td>\n",
       "      <td>0.429302</td>\n",
       "      <td>-4.185016</td>\n",
       "      <td>2.851466e-05</td>\n",
       "      <td>9.375694e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>149636230</td>\n",
       "      <td>149636871</td>\n",
       "      <td>chr1</td>\n",
       "      <td>149606333</td>\n",
       "      <td>149679523</td>\n",
       "      <td>LINC00869</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-149636230-149636871</th>\n",
       "      <td>127.064647</td>\n",
       "      <td>-1.796635</td>\n",
       "      <td>0.429302</td>\n",
       "      <td>-4.185016</td>\n",
       "      <td>2.851466e-05</td>\n",
       "      <td>9.375694e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>149636230</td>\n",
       "      <td>149636871</td>\n",
       "      <td>chr1</td>\n",
       "      <td>149636765</td>\n",
       "      <td>149636929</td>\n",
       "      <td>U1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-40644973-40645951</th>\n",
       "      <td>84.494487</td>\n",
       "      <td>0.967331</td>\n",
       "      <td>0.208994</td>\n",
       "      <td>4.628508</td>\n",
       "      <td>3.683096e-06</td>\n",
       "      <td>2.255100e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>40644973</td>\n",
       "      <td>40645951</td>\n",
       "      <td>chrX</td>\n",
       "      <td>40626920</td>\n",
       "      <td>40647554</td>\n",
       "      <td>CXorf38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-41542470-41543705</th>\n",
       "      <td>68.754861</td>\n",
       "      <td>1.399539</td>\n",
       "      <td>0.293277</td>\n",
       "      <td>4.772070</td>\n",
       "      <td>1.823424e-06</td>\n",
       "      <td>1.336853e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>41542470</td>\n",
       "      <td>41543705</td>\n",
       "      <td>chrX</td>\n",
       "      <td>41514933</td>\n",
       "      <td>41923463</td>\n",
       "      <td>CASK</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-41620783-41621637</th>\n",
       "      <td>53.392763</td>\n",
       "      <td>1.390902</td>\n",
       "      <td>0.261195</td>\n",
       "      <td>5.325157</td>\n",
       "      <td>1.008658e-07</td>\n",
       "      <td>1.455456e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>41620783</td>\n",
       "      <td>41621637</td>\n",
       "      <td>chrX</td>\n",
       "      <td>41514933</td>\n",
       "      <td>41923463</td>\n",
       "      <td>CASK</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-44541696-44543768</th>\n",
       "      <td>412.158399</td>\n",
       "      <td>-1.042626</td>\n",
       "      <td>0.244159</td>\n",
       "      <td>-4.270269</td>\n",
       "      <td>1.952377e-05</td>\n",
       "      <td>7.316811e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>44541696</td>\n",
       "      <td>44543768</td>\n",
       "      <td>chrX</td>\n",
       "      <td>44523638</td>\n",
       "      <td>44543001</td>\n",
       "      <td>FUNDC1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-4546303-4547379</th>\n",
       "      <td>110.208274</td>\n",
       "      <td>-0.895834</td>\n",
       "      <td>0.201015</td>\n",
       "      <td>-4.456565</td>\n",
       "      <td>8.328333e-06</td>\n",
       "      <td>4.061878e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>4546303</td>\n",
       "      <td>4547379</td>\n",
       "      <td>chrX</td>\n",
       "      <td>4583421</td>\n",
       "      <td>4583500</td>\n",
       "      <td>AC108683.1 &gt;10k</td>\n",
       "      <td>36043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-45789736-45790695</th>\n",
       "      <td>71.321108</td>\n",
       "      <td>0.943421</td>\n",
       "      <td>0.214652</td>\n",
       "      <td>4.395120</td>\n",
       "      <td>1.107114e-05</td>\n",
       "      <td>4.942091e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>45789736</td>\n",
       "      <td>45790695</td>\n",
       "      <td>chrX</td>\n",
       "      <td>45745210</td>\n",
       "      <td>45770274</td>\n",
       "      <td>MIR222HG &gt;10k</td>\n",
       "      <td>-19463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-52995527-52996310</th>\n",
       "      <td>143.801631</td>\n",
       "      <td>-0.868324</td>\n",
       "      <td>0.172505</td>\n",
       "      <td>-5.033603</td>\n",
       "      <td>4.813464e-07</td>\n",
       "      <td>4.720633e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>52995527</td>\n",
       "      <td>52996310</td>\n",
       "      <td>chrX</td>\n",
       "      <td>52926401</td>\n",
       "      <td>52995472</td>\n",
       "      <td>FAM156A &lt;1k</td>\n",
       "      <td>-56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-54528628-54531935</th>\n",
       "      <td>811.483160</td>\n",
       "      <td>-0.688576</td>\n",
       "      <td>0.104212</td>\n",
       "      <td>-6.607430</td>\n",
       "      <td>3.910484e-11</td>\n",
       "      <td>2.331317e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>54528628</td>\n",
       "      <td>54531935</td>\n",
       "      <td>chrX</td>\n",
       "      <td>54530210</td>\n",
       "      <td>54561071</td>\n",
       "      <td>GNL3L</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-54999377-55001500</th>\n",
       "      <td>384.614135</td>\n",
       "      <td>-1.109684</td>\n",
       "      <td>0.252737</td>\n",
       "      <td>-4.390673</td>\n",
       "      <td>1.130004e-05</td>\n",
       "      <td>5.014630e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>54999377</td>\n",
       "      <td>55001500</td>\n",
       "      <td>chrX</td>\n",
       "      <td>55000356</td>\n",
       "      <td>55009057</td>\n",
       "      <td>APEX2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-56783055-56784426</th>\n",
       "      <td>172.271903</td>\n",
       "      <td>-1.120266</td>\n",
       "      <td>0.266366</td>\n",
       "      <td>-4.205734</td>\n",
       "      <td>2.602357e-05</td>\n",
       "      <td>8.841319e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>56783055</td>\n",
       "      <td>56784426</td>\n",
       "      <td>chrX</td>\n",
       "      <td>56729258</td>\n",
       "      <td>56818380</td>\n",
       "      <td>LINC01420</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-56802840-56804137</th>\n",
       "      <td>266.386722</td>\n",
       "      <td>-1.472546</td>\n",
       "      <td>0.349213</td>\n",
       "      <td>-4.216760</td>\n",
       "      <td>2.478377e-05</td>\n",
       "      <td>8.587347e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>56802840</td>\n",
       "      <td>56804137</td>\n",
       "      <td>chrX</td>\n",
       "      <td>56729258</td>\n",
       "      <td>56818380</td>\n",
       "      <td>LINC01420</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-56994715-56996430</th>\n",
       "      <td>352.486472</td>\n",
       "      <td>-1.566380</td>\n",
       "      <td>0.367806</td>\n",
       "      <td>-4.258710</td>\n",
       "      <td>2.056103e-05</td>\n",
       "      <td>7.561687e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>56994715</td>\n",
       "      <td>56996430</td>\n",
       "      <td>chrX</td>\n",
       "      <td>56976369</td>\n",
       "      <td>56995537</td>\n",
       "      <td>SPIN3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-63350072-63351464</th>\n",
       "      <td>381.548615</td>\n",
       "      <td>-1.615606</td>\n",
       "      <td>0.387405</td>\n",
       "      <td>-4.170330</td>\n",
       "      <td>3.041584e-05</td>\n",
       "      <td>9.794679e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63350072</td>\n",
       "      <td>63351464</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63343226</td>\n",
       "      <td>63561071</td>\n",
       "      <td>LINC01278</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-63350072-63351464</th>\n",
       "      <td>381.548615</td>\n",
       "      <td>-1.615606</td>\n",
       "      <td>0.387405</td>\n",
       "      <td>-4.170330</td>\n",
       "      <td>3.041584e-05</td>\n",
       "      <td>9.794679e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63350072</td>\n",
       "      <td>63351464</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63347227</td>\n",
       "      <td>63351344</td>\n",
       "      <td>SPIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-63350072-63351464</th>\n",
       "      <td>381.548615</td>\n",
       "      <td>-1.615606</td>\n",
       "      <td>0.387405</td>\n",
       "      <td>-4.170330</td>\n",
       "      <td>3.041584e-05</td>\n",
       "      <td>9.794679e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63350072</td>\n",
       "      <td>63351464</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63349645</td>\n",
       "      <td>63352178</td>\n",
       "      <td>SPIN4-AS1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69036105-69038032</th>\n",
       "      <td>200.579334</td>\n",
       "      <td>-0.933151</td>\n",
       "      <td>0.221960</td>\n",
       "      <td>-4.204149</td>\n",
       "      <td>2.620660e-05</td>\n",
       "      <td>8.874594e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69036105</td>\n",
       "      <td>69038032</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>122819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69221393-69222223</th>\n",
       "      <td>74.300790</td>\n",
       "      <td>-1.516434</td>\n",
       "      <td>0.340369</td>\n",
       "      <td>-4.455263</td>\n",
       "      <td>8.379026e-06</td>\n",
       "      <td>4.077823e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69221393</td>\n",
       "      <td>69222223</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-11470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-70289073-70291503</th>\n",
       "      <td>467.461472</td>\n",
       "      <td>-1.027019</td>\n",
       "      <td>0.214374</td>\n",
       "      <td>-4.790779</td>\n",
       "      <td>1.661353e-06</td>\n",
       "      <td>1.253878e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>70289073</td>\n",
       "      <td>70291503</td>\n",
       "      <td>chrX</td>\n",
       "      <td>70286594</td>\n",
       "      <td>70290514</td>\n",
       "      <td>PDZD11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-70289073-70291503</th>\n",
       "      <td>467.461472</td>\n",
       "      <td>-1.027019</td>\n",
       "      <td>0.214374</td>\n",
       "      <td>-4.790779</td>\n",
       "      <td>1.661353e-06</td>\n",
       "      <td>1.253878e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>70289073</td>\n",
       "      <td>70291503</td>\n",
       "      <td>chrX</td>\n",
       "      <td>70290089</td>\n",
       "      <td>70420832</td>\n",
       "      <td>KIF4A</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-71283558-71285412</th>\n",
       "      <td>564.739307</td>\n",
       "      <td>-1.255701</td>\n",
       "      <td>0.288343</td>\n",
       "      <td>-4.354886</td>\n",
       "      <td>1.331360e-05</td>\n",
       "      <td>5.664091e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71283558</td>\n",
       "      <td>71285412</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71283191</td>\n",
       "      <td>71301168</td>\n",
       "      <td>NONO</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-71531543-71535119</th>\n",
       "      <td>790.870009</td>\n",
       "      <td>-0.595841</td>\n",
       "      <td>0.111690</td>\n",
       "      <td>-5.334787</td>\n",
       "      <td>9.565696e-08</td>\n",
       "      <td>1.389141e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71531543</td>\n",
       "      <td>71535119</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71366238</td>\n",
       "      <td>71532374</td>\n",
       "      <td>TAF1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-71531543-71535119</th>\n",
       "      <td>790.870009</td>\n",
       "      <td>-0.595841</td>\n",
       "      <td>0.111690</td>\n",
       "      <td>-5.334787</td>\n",
       "      <td>9.565696e-08</td>\n",
       "      <td>1.389141e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71531543</td>\n",
       "      <td>71535119</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71533082</td>\n",
       "      <td>71575897</td>\n",
       "      <td>OGT</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>-0.715154</td>\n",
       "      <td>0.111470</td>\n",
       "      <td>-6.415639</td>\n",
       "      <td>1.402332e-10</td>\n",
       "      <td>6.832071e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944323</td>\n",
       "      <td>74070408</td>\n",
       "      <td>JPX</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>-0.715154</td>\n",
       "      <td>0.111470</td>\n",
       "      <td>-6.415639</td>\n",
       "      <td>1.402332e-10</td>\n",
       "      <td>6.832071e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944331</td>\n",
       "      <td>73944466</td>\n",
       "      <td>JPX_1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>-0.715154</td>\n",
       "      <td>0.111470</td>\n",
       "      <td>-6.415639</td>\n",
       "      <td>1.402332e-10</td>\n",
       "      <td>6.832071e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944594</td>\n",
       "      <td>73944663</td>\n",
       "      <td>JPX_2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-74290197-74293732</th>\n",
       "      <td>861.311358</td>\n",
       "      <td>-0.637054</td>\n",
       "      <td>0.105728</td>\n",
       "      <td>-6.025431</td>\n",
       "      <td>1.686597e-09</td>\n",
       "      <td>5.270207e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>74290197</td>\n",
       "      <td>74293732</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73963954</td>\n",
       "      <td>74293574</td>\n",
       "      <td>FTX</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-74290197-74293732</th>\n",
       "      <td>861.311358</td>\n",
       "      <td>-0.637054</td>\n",
       "      <td>0.105728</td>\n",
       "      <td>-6.025431</td>\n",
       "      <td>1.686597e-09</td>\n",
       "      <td>5.270207e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>74290197</td>\n",
       "      <td>74293732</td>\n",
       "      <td>chrX</td>\n",
       "      <td>74293356</td>\n",
       "      <td>74293574</td>\n",
       "      <td>FTX_5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-77895723-77896674</th>\n",
       "      <td>206.151089</td>\n",
       "      <td>-1.044712</td>\n",
       "      <td>0.242855</td>\n",
       "      <td>-4.301793</td>\n",
       "      <td>1.694215e-05</td>\n",
       "      <td>6.671707e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>77895723</td>\n",
       "      <td>77896674</td>\n",
       "      <td>chrX</td>\n",
       "      <td>77826363</td>\n",
       "      <td>77895593</td>\n",
       "      <td>MAGT1 &lt;1k</td>\n",
       "      <td>-131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-86010509-86020422</th>\n",
       "      <td>1849.663268</td>\n",
       "      <td>-0.676641</td>\n",
       "      <td>0.132129</td>\n",
       "      <td>-5.121064</td>\n",
       "      <td>3.038159e-07</td>\n",
       "      <td>3.261989e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>86010509</td>\n",
       "      <td>86020422</td>\n",
       "      <td>chrX</td>\n",
       "      <td>85861179</td>\n",
       "      <td>86047562</td>\n",
       "      <td>CHM</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-86010509-86020422</th>\n",
       "      <td>1849.663268</td>\n",
       "      <td>-0.676641</td>\n",
       "      <td>0.132129</td>\n",
       "      <td>-5.121064</td>\n",
       "      <td>3.038159e-07</td>\n",
       "      <td>3.261989e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>86010509</td>\n",
       "      <td>86020422</td>\n",
       "      <td>chrX</td>\n",
       "      <td>86019607</td>\n",
       "      <td>86019715</td>\n",
       "      <td>Y_RNA</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1792 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr1-100249047-100249915   242.003131       -0.659618  0.148191 -4.451137   \n",
       "chr1-100249047-100249915   242.003131       -0.659618  0.148191 -4.451137   \n",
       "chr1-101024769-101026946   754.214203       -1.218344  0.215382 -5.656655   \n",
       "chr1-101024769-101026946   754.214203       -1.218344  0.215382 -5.656655   \n",
       "chr1-105631073-105631887    55.788257       -2.219664  0.464994 -4.773533   \n",
       "chr1-106619116-106621947   390.698064       -1.640321  0.326461 -5.024553   \n",
       "chr1-106747103-106748121   107.942704       -0.984736  0.225618 -4.364621   \n",
       "chr1-109658233-109659183    73.270373        0.922988  0.216310  4.266974   \n",
       "chr1-112617912-112621111  1733.630249       -1.277731  0.294180 -4.343363   \n",
       "chr1-112617912-112621111  1733.630249       -1.277731  0.294180 -4.343363   \n",
       "chr1-114580778-114582290   347.075441       -0.572035  0.122235 -4.679808   \n",
       "chr1-11720819-11721787      48.482599        1.211491  0.260213  4.655770   \n",
       "chr1-120354757-120355053    45.157722       -2.037589  0.470197 -4.333480   \n",
       "chr1-12482904-12488621    1345.727188       -0.611501  0.092878 -6.583886   \n",
       "chr1-144546389-144546901    97.797046       -1.583362  0.366524 -4.319946   \n",
       "chr1-145465701-145466017    47.194106       -1.937527  0.416010 -4.657402   \n",
       "chr1-145925930-145929162   905.189643       -0.635724  0.108011 -5.885755   \n",
       "chr1-145925930-145929162   905.189643       -0.635724  0.108011 -5.885755   \n",
       "chr1-145925930-145929162   905.189643       -0.635724  0.108011 -5.885755   \n",
       "chr1-146039471-146040117    44.218398        0.991182  0.230898  4.292735   \n",
       "chr1-146052159-146052941   212.900424       -2.003845  0.432793 -4.630028   \n",
       "chr1-146052159-146052941   212.900424       -2.003845  0.432793 -4.630028   \n",
       "chr1-147537058-147543602  2086.750931       -0.744985  0.175847 -4.236546   \n",
       "chr1-147585228-147588119   746.176932       -0.503196  0.110301 -4.562036   \n",
       "chr1-148334709-148335535   234.451191       -1.749860  0.404254 -4.328614   \n",
       "chr1-148334709-148335535   234.451191       -1.749860  0.404254 -4.328614   \n",
       "chr1-149103231-149103950    82.378593       -2.039786  0.459584 -4.438336   \n",
       "chr1-14943138-14944044      75.254820       -0.823721  0.191637 -4.298352   \n",
       "chr1-149636230-149636871   127.064647       -1.796635  0.429302 -4.185016   \n",
       "chr1-149636230-149636871   127.064647       -1.796635  0.429302 -4.185016   \n",
       "...                               ...             ...       ...       ...   \n",
       "chrX-40644973-40645951      84.494487        0.967331  0.208994  4.628508   \n",
       "chrX-41542470-41543705      68.754861        1.399539  0.293277  4.772070   \n",
       "chrX-41620783-41621637      53.392763        1.390902  0.261195  5.325157   \n",
       "chrX-44541696-44543768     412.158399       -1.042626  0.244159 -4.270269   \n",
       "chrX-4546303-4547379       110.208274       -0.895834  0.201015 -4.456565   \n",
       "chrX-45789736-45790695      71.321108        0.943421  0.214652  4.395120   \n",
       "chrX-52995527-52996310     143.801631       -0.868324  0.172505 -5.033603   \n",
       "chrX-54528628-54531935     811.483160       -0.688576  0.104212 -6.607430   \n",
       "chrX-54999377-55001500     384.614135       -1.109684  0.252737 -4.390673   \n",
       "chrX-56783055-56784426     172.271903       -1.120266  0.266366 -4.205734   \n",
       "chrX-56802840-56804137     266.386722       -1.472546  0.349213 -4.216760   \n",
       "chrX-56994715-56996430     352.486472       -1.566380  0.367806 -4.258710   \n",
       "chrX-63350072-63351464     381.548615       -1.615606  0.387405 -4.170330   \n",
       "chrX-63350072-63351464     381.548615       -1.615606  0.387405 -4.170330   \n",
       "chrX-63350072-63351464     381.548615       -1.615606  0.387405 -4.170330   \n",
       "chrX-69036105-69038032     200.579334       -0.933151  0.221960 -4.204149   \n",
       "chrX-69221393-69222223      74.300790       -1.516434  0.340369 -4.455263   \n",
       "chrX-70289073-70291503     467.461472       -1.027019  0.214374 -4.790779   \n",
       "chrX-70289073-70291503     467.461472       -1.027019  0.214374 -4.790779   \n",
       "chrX-71283558-71285412     564.739307       -1.255701  0.288343 -4.354886   \n",
       "chrX-71531543-71535119     790.870009       -0.595841  0.111690 -5.334787   \n",
       "chrX-71531543-71535119     790.870009       -0.595841  0.111690 -5.334787   \n",
       "chrX-73943559-73945959     647.965948       -0.715154  0.111470 -6.415639   \n",
       "chrX-73943559-73945959     647.965948       -0.715154  0.111470 -6.415639   \n",
       "chrX-73943559-73945959     647.965948       -0.715154  0.111470 -6.415639   \n",
       "chrX-74290197-74293732     861.311358       -0.637054  0.105728 -6.025431   \n",
       "chrX-74290197-74293732     861.311358       -0.637054  0.105728 -6.025431   \n",
       "chrX-77895723-77896674     206.151089       -1.044712  0.242855 -4.301793   \n",
       "chrX-86010509-86020422    1849.663268       -0.676641  0.132129 -5.121064   \n",
       "chrX-86010509-86020422    1849.663268       -0.676641  0.132129 -5.121064   \n",
       "\n",
       "                                pvalue          padj chrom_peak  start_peak  \\\n",
       "chr1-100249047-100249915  8.541674e-06  4.134772e-04       chr1   100249047   \n",
       "chr1-100249047-100249915  8.541674e-06  4.134772e-04       chr1   100249047   \n",
       "chr1-101024769-101026946  1.543514e-08  3.271089e-06       chr1   101024769   \n",
       "chr1-101024769-101026946  1.543514e-08  3.271089e-06       chr1   101024769   \n",
       "chr1-105631073-105631887  1.810222e-06  1.329325e-04       chr1   105631073   \n",
       "chr1-106619116-106621947  5.046068e-07  4.916823e-05       chr1   106619116   \n",
       "chr1-106747103-106748121  1.273434e-05  5.458660e-04       chr1   106747103   \n",
       "chr1-109658233-109659183  1.981425e-05  7.375183e-04       chr1   109658233   \n",
       "chr1-112617912-112621111  1.403178e-05  5.864998e-04       chr1   112617912   \n",
       "chr1-112617912-112621111  1.403178e-05  5.864998e-04       chr1   112617912   \n",
       "chr1-114580778-114582290  2.871433e-06  1.885533e-04       chr1   114580778   \n",
       "chr1-11720819-11721787    3.227714e-06  2.059782e-04       chr1    11720819   \n",
       "chr1-120354757-120355053  1.467704e-05  6.039983e-04       chr1   120354757   \n",
       "chr1-12482904-12488621    4.583071e-11  2.563634e-08       chr1    12482904   \n",
       "chr1-144546389-144546901  1.560672e-05  6.311224e-04       chr1   144546389   \n",
       "chr1-145465701-145466017  3.202255e-06  2.046480e-04       chr1   145465701   \n",
       "chr1-145925930-145929162  3.962413e-09  1.081524e-06       chr1   145925930   \n",
       "chr1-145925930-145929162  3.962413e-09  1.081524e-06       chr1   145925930   \n",
       "chr1-145925930-145929162  3.962413e-09  1.081524e-06       chr1   145925930   \n",
       "chr1-146039471-146040117  1.764854e-05  6.805428e-04       chr1   146039471   \n",
       "chr1-146052159-146052941  3.656158e-06  2.252632e-04       chr1   146052159   \n",
       "chr1-146052159-146052941  3.656158e-06  2.252632e-04       chr1   146052159   \n",
       "chr1-147537058-147543602  2.269844e-05  8.104362e-04       chr1   147537058   \n",
       "chr1-147585228-147588119  5.066004e-06  2.812936e-04       chr1   147585228   \n",
       "chr1-148334709-148335535  1.500509e-05  6.147068e-04       chr1   148334709   \n",
       "chr1-148334709-148335535  1.500509e-05  6.147068e-04       chr1   148334709   \n",
       "chr1-149103231-149103950  9.065714e-06  4.301135e-04       chr1   149103231   \n",
       "chr1-14943138-14944044    1.720725e-05  6.732670e-04       chr1    14943138   \n",
       "chr1-149636230-149636871  2.851466e-05  9.375694e-04       chr1   149636230   \n",
       "chr1-149636230-149636871  2.851466e-05  9.375694e-04       chr1   149636230   \n",
       "...                                ...           ...        ...         ...   \n",
       "chrX-40644973-40645951    3.683096e-06  2.255100e-04       chrX    40644973   \n",
       "chrX-41542470-41543705    1.823424e-06  1.336853e-04       chrX    41542470   \n",
       "chrX-41620783-41621637    1.008658e-07  1.455456e-05       chrX    41620783   \n",
       "chrX-44541696-44543768    1.952377e-05  7.316811e-04       chrX    44541696   \n",
       "chrX-4546303-4547379      8.328333e-06  4.061878e-04       chrX     4546303   \n",
       "chrX-45789736-45790695    1.107114e-05  4.942091e-04       chrX    45789736   \n",
       "chrX-52995527-52996310    4.813464e-07  4.720633e-05       chrX    52995527   \n",
       "chrX-54528628-54531935    3.910484e-11  2.331317e-08       chrX    54528628   \n",
       "chrX-54999377-55001500    1.130004e-05  5.014630e-04       chrX    54999377   \n",
       "chrX-56783055-56784426    2.602357e-05  8.841319e-04       chrX    56783055   \n",
       "chrX-56802840-56804137    2.478377e-05  8.587347e-04       chrX    56802840   \n",
       "chrX-56994715-56996430    2.056103e-05  7.561687e-04       chrX    56994715   \n",
       "chrX-63350072-63351464    3.041584e-05  9.794679e-04       chrX    63350072   \n",
       "chrX-63350072-63351464    3.041584e-05  9.794679e-04       chrX    63350072   \n",
       "chrX-63350072-63351464    3.041584e-05  9.794679e-04       chrX    63350072   \n",
       "chrX-69036105-69038032    2.620660e-05  8.874594e-04       chrX    69036105   \n",
       "chrX-69221393-69222223    8.379026e-06  4.077823e-04       chrX    69221393   \n",
       "chrX-70289073-70291503    1.661353e-06  1.253878e-04       chrX    70289073   \n",
       "chrX-70289073-70291503    1.661353e-06  1.253878e-04       chrX    70289073   \n",
       "chrX-71283558-71285412    1.331360e-05  5.664091e-04       chrX    71283558   \n",
       "chrX-71531543-71535119    9.565696e-08  1.389141e-05       chrX    71531543   \n",
       "chrX-71531543-71535119    9.565696e-08  1.389141e-05       chrX    71531543   \n",
       "chrX-73943559-73945959    1.402332e-10  6.832071e-08       chrX    73943559   \n",
       "chrX-73943559-73945959    1.402332e-10  6.832071e-08       chrX    73943559   \n",
       "chrX-73943559-73945959    1.402332e-10  6.832071e-08       chrX    73943559   \n",
       "chrX-74290197-74293732    1.686597e-09  5.270207e-07       chrX    74290197   \n",
       "chrX-74290197-74293732    1.686597e-09  5.270207e-07       chrX    74290197   \n",
       "chrX-77895723-77896674    1.694215e-05  6.671707e-04       chrX    77895723   \n",
       "chrX-86010509-86020422    3.038159e-07  3.261989e-05       chrX    86010509   \n",
       "chrX-86010509-86020422    3.038159e-07  3.261989e-05       chrX    86010509   \n",
       "\n",
       "                           end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr1-100249047-100249915  100249915       chr1   100186918  100249834   \n",
       "chr1-100249047-100249915  100249915       chr1   100249089  100249311   \n",
       "chr1-101024769-101026946  101026946       chr1   100989622  101026088   \n",
       "chr1-101024769-101026946  101026946       chr1   101025877  101087268   \n",
       "chr1-105631073-105631887  105631887       chr1   105587574  105618958   \n",
       "chr1-106619116-106621947  106621947       chr1   106544341  106544744   \n",
       "chr1-106747103-106748121  106748121       chr1   106780222  106780435   \n",
       "chr1-109658233-109659183  109659183       chr1   109656080  109674836   \n",
       "chr1-112617912-112621111  112621111       chr1   112523517  112620825   \n",
       "chr1-112617912-112621111  112621111       chr1   112619172  112671619   \n",
       "chr1-114580778-114582290  114582290       chr1   114567556  114581639   \n",
       "chr1-11720819-11721787     11721787       chr1    11691728   11725857   \n",
       "chr1-120354757-120355053  120355053       chr1   120354986  120355148   \n",
       "chr1-12482904-12488621     12488621       chr1    12230066   12512047   \n",
       "chr1-144546389-144546901  144546901       chr1   144551778  144551943   \n",
       "chr1-145465701-145466017  145466017       chr1   145465616  145465780   \n",
       "chr1-145925930-145929162  145929162       chr1   145921555  145927495   \n",
       "chr1-145925930-145929162  145929162       chr1   145926589  145959179   \n",
       "chr1-145925930-145929162  145929162       chr1   145927257  145977811   \n",
       "chr1-146039471-146040117  146040117       chr1   146052080  146052244   \n",
       "chr1-146052159-146052941  146052941       chr1   146052080  146052244   \n",
       "chr1-146052159-146052941  146052941       chr1   146052565  146061948   \n",
       "chr1-147537058-147543602  147543602       chr1   147541411  147626216   \n",
       "chr1-147585228-147588119  147588119       chr1   147541411  147626216   \n",
       "chr1-148334709-148335535  148335535       chr1   148328998  148344636   \n",
       "chr1-148334709-148335535  148335535       chr1   148334611  148334767   \n",
       "chr1-149103231-149103950  149103950       chr1   149054026  149103561   \n",
       "chr1-14943138-14944044     14944044       chr1    14598703   15118043   \n",
       "chr1-149636230-149636871  149636871       chr1   149606333  149679523   \n",
       "chr1-149636230-149636871  149636871       chr1   149636765  149636929   \n",
       "...                             ...        ...         ...        ...   \n",
       "chrX-40644973-40645951     40645951       chrX    40626920   40647554   \n",
       "chrX-41542470-41543705     41543705       chrX    41514933   41923463   \n",
       "chrX-41620783-41621637     41621637       chrX    41514933   41923463   \n",
       "chrX-44541696-44543768     44543768       chrX    44523638   44543001   \n",
       "chrX-4546303-4547379        4547379       chrX     4583421    4583500   \n",
       "chrX-45789736-45790695     45790695       chrX    45745210   45770274   \n",
       "chrX-52995527-52996310     52996310       chrX    52926401   52995472   \n",
       "chrX-54528628-54531935     54531935       chrX    54530210   54561071   \n",
       "chrX-54999377-55001500     55001500       chrX    55000356   55009057   \n",
       "chrX-56783055-56784426     56784426       chrX    56729258   56818380   \n",
       "chrX-56802840-56804137     56804137       chrX    56729258   56818380   \n",
       "chrX-56994715-56996430     56996430       chrX    56976369   56995537   \n",
       "chrX-63350072-63351464     63351464       chrX    63343226   63561071   \n",
       "chrX-63350072-63351464     63351464       chrX    63347227   63351344   \n",
       "chrX-63350072-63351464     63351464       chrX    63349645   63352178   \n",
       "chrX-69036105-69038032     69038032       chrX    69160850   69165793   \n",
       "chrX-69221393-69222223     69222223       chrX    69179556   69209924   \n",
       "chrX-70289073-70291503     70291503       chrX    70286594   70290514   \n",
       "chrX-70289073-70291503     70291503       chrX    70290089   70420832   \n",
       "chrX-71283558-71285412     71285412       chrX    71283191   71301168   \n",
       "chrX-71531543-71535119     71535119       chrX    71366238   71532374   \n",
       "chrX-71531543-71535119     71535119       chrX    71533082   71575897   \n",
       "chrX-73943559-73945959     73945959       chrX    73944323   74070408   \n",
       "chrX-73943559-73945959     73945959       chrX    73944331   73944466   \n",
       "chrX-73943559-73945959     73945959       chrX    73944594   73944663   \n",
       "chrX-74290197-74293732     74293732       chrX    73963954   74293574   \n",
       "chrX-74290197-74293732     74293732       chrX    74293356   74293574   \n",
       "chrX-77895723-77896674     77896674       chrX    77826363   77895593   \n",
       "chrX-86010509-86020422     86020422       chrX    85861179   86047562   \n",
       "chrX-86010509-86020422     86020422       chrX    86019607   86019715   \n",
       "\n",
       "                                   gene_name  distance  \n",
       "chr1-100249047-100249915                DBT          0  \n",
       "chr1-100249047-100249915      RP11-305E17.4          0  \n",
       "chr1-101024769-101026946               DPH5          0  \n",
       "chr1-101024769-101026946      RP11-421L21.3          0  \n",
       "chr1-105631073-105631887   RP11-251P6.1 >10k    -12116  \n",
       "chr1-106619116-106621947  RP11-478L17.1 >10k    -74373  \n",
       "chr1-106747103-106748121  RP11-110F24.1 >10k     32102  \n",
       "chr1-109658233-109659183              GSTM4          0  \n",
       "chr1-112617912-112621111               ST7L          0  \n",
       "chr1-112617912-112621111             CAPZA1          0  \n",
       "chr1-114580778-114582290              BCAS2          0  \n",
       "chr1-11720819-11721787               DRAXIN          0  \n",
       "chr1-120354757-120355053                 U1          0  \n",
       "chr1-12482904-12488621               VPS13D          0  \n",
       "chr1-144546389-144546901              U1 <5k      4878  \n",
       "chr1-145465701-145466017                 U1          0  \n",
       "chr1-145925930-145929162              RBM8A          0  \n",
       "chr1-145925930-145929162      RP11-315I20.1          0  \n",
       "chr1-145925930-145929162       CH17-270A2.2          0  \n",
       "chr1-146039471-146040117        RNVU1-6 >10k     11964  \n",
       "chr1-146052159-146052941            RNVU1-6          0  \n",
       "chr1-146052159-146052941      RP11-458D21.1          0  \n",
       "chr1-147537058-147543602               BCL9          0  \n",
       "chr1-147585228-147588119               BCL9          0  \n",
       "chr1-148334709-148335535      RP11-495P10.3          0  \n",
       "chr1-148334709-148335535          RNU1-122P          0  \n",
       "chr1-149103231-149103950              NBPF9          0  \n",
       "chr1-14943138-14944044                 KAZN          0  \n",
       "chr1-149636230-149636871          LINC00869          0  \n",
       "chr1-149636230-149636871                 U1          0  \n",
       "...                                      ...       ...  \n",
       "chrX-40644973-40645951              CXorf38          0  \n",
       "chrX-41542470-41543705                 CASK          0  \n",
       "chrX-41620783-41621637                 CASK          0  \n",
       "chrX-44541696-44543768               FUNDC1          0  \n",
       "chrX-4546303-4547379         AC108683.1 >10k     36043  \n",
       "chrX-45789736-45790695         MIR222HG >10k    -19463  \n",
       "chrX-52995527-52996310           FAM156A <1k       -56  \n",
       "chrX-54528628-54531935                GNL3L          0  \n",
       "chrX-54999377-55001500                APEX2          0  \n",
       "chrX-56783055-56784426            LINC01420          0  \n",
       "chrX-56802840-56804137            LINC01420          0  \n",
       "chrX-56994715-56996430                SPIN3          0  \n",
       "chrX-63350072-63351464            LINC01278          0  \n",
       "chrX-63350072-63351464                SPIN4          0  \n",
       "chrX-63350072-63351464            SPIN4-AS1          0  \n",
       "chrX-69036105-69038032             PJA1 >10k    122819  \n",
       "chrX-69221393-69222223        LINC00269 >10k    -11470  \n",
       "chrX-70289073-70291503               PDZD11          0  \n",
       "chrX-70289073-70291503                KIF4A          0  \n",
       "chrX-71283558-71285412                 NONO          0  \n",
       "chrX-71531543-71535119                 TAF1          0  \n",
       "chrX-71531543-71535119                  OGT          0  \n",
       "chrX-73943559-73945959                  JPX          0  \n",
       "chrX-73943559-73945959                JPX_1          0  \n",
       "chrX-73943559-73945959                JPX_2          0  \n",
       "chrX-74290197-74293732                  FTX          0  \n",
       "chrX-74290197-74293732                FTX_5          0  \n",
       "chrX-77895723-77896674             MAGT1 <1k      -131  \n",
       "chrX-86010509-86020422                  CHM          0  \n",
       "chrX-86010509-86020422                Y_RNA          0  \n",
       "\n",
       "[1792 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== GT_vs_DMSO ======\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "      <th>chrom_peak</th>\n",
       "      <th>start_peak</th>\n",
       "      <th>end_peak</th>\n",
       "      <th>chrom_gene</th>\n",
       "      <th>start_gene</th>\n",
       "      <th>end_gene</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>chr1-1031319-1032116</th>\n",
       "      <td>53.982961</td>\n",
       "      <td>-2.029873</td>\n",
       "      <td>0.470279</td>\n",
       "      <td>-4.316313</td>\n",
       "      <td>1.586566e-05</td>\n",
       "      <td>1.605758e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>1031319</td>\n",
       "      <td>1032116</td>\n",
       "      <td>chr1</td>\n",
       "      <td>1020122</td>\n",
       "      <td>1056118</td>\n",
       "      <td>AGRN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-10456862-10457273</th>\n",
       "      <td>23.349748</td>\n",
       "      <td>1.329913</td>\n",
       "      <td>0.312476</td>\n",
       "      <td>4.256048</td>\n",
       "      <td>2.080716e-05</td>\n",
       "      <td>2.011437e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>10456862</td>\n",
       "      <td>10457273</td>\n",
       "      <td>chr1</td>\n",
       "      <td>10456521</td>\n",
       "      <td>10472526</td>\n",
       "      <td>DFFA</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-104798816-104799142</th>\n",
       "      <td>17.590827</td>\n",
       "      <td>-1.659378</td>\n",
       "      <td>0.365696</td>\n",
       "      <td>-4.537589</td>\n",
       "      <td>5.690101e-06</td>\n",
       "      <td>6.848364e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>104798816</td>\n",
       "      <td>104799142</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>634852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105137052-105139071</th>\n",
       "      <td>213.505063</td>\n",
       "      <td>-1.028773</td>\n",
       "      <td>0.170686</td>\n",
       "      <td>-6.027279</td>\n",
       "      <td>1.667427e-09</td>\n",
       "      <td>6.338041e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105137052</td>\n",
       "      <td>105139071</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>294923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105350097-105351227</th>\n",
       "      <td>59.321446</td>\n",
       "      <td>1.601450</td>\n",
       "      <td>0.340986</td>\n",
       "      <td>4.696521</td>\n",
       "      <td>2.646302e-06</td>\n",
       "      <td>3.586015e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105350097</td>\n",
       "      <td>105351227</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>82767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105351987-105352940</th>\n",
       "      <td>39.428125</td>\n",
       "      <td>1.520973</td>\n",
       "      <td>0.343791</td>\n",
       "      <td>4.424121</td>\n",
       "      <td>9.683565e-06</td>\n",
       "      <td>1.069085e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105351987</td>\n",
       "      <td>105352940</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>81054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105631073-105631887</th>\n",
       "      <td>55.788257</td>\n",
       "      <td>-3.009934</td>\n",
       "      <td>0.470820</td>\n",
       "      <td>-6.392960</td>\n",
       "      <td>1.627045e-10</td>\n",
       "      <td>8.493065e-09</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105631073</td>\n",
       "      <td>105631887</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105587574</td>\n",
       "      <td>105618958</td>\n",
       "      <td>RP11-251P6.1 &gt;10k</td>\n",
       "      <td>-12116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105631893-105633737</th>\n",
       "      <td>152.316048</td>\n",
       "      <td>-1.111891</td>\n",
       "      <td>0.239587</td>\n",
       "      <td>-4.640874</td>\n",
       "      <td>3.469394e-06</td>\n",
       "      <td>4.512185e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105631893</td>\n",
       "      <td>105633737</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105587574</td>\n",
       "      <td>105618958</td>\n",
       "      <td>RP11-251P6.1 &gt;10k</td>\n",
       "      <td>-12936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105795769-105796181</th>\n",
       "      <td>29.204728</td>\n",
       "      <td>-2.089887</td>\n",
       "      <td>0.481499</td>\n",
       "      <td>-4.340375</td>\n",
       "      <td>1.422398e-05</td>\n",
       "      <td>1.466894e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105795769</td>\n",
       "      <td>105796181</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105890692</td>\n",
       "      <td>105891430</td>\n",
       "      <td>RP11-90H3.2 &gt;10k</td>\n",
       "      <td>94512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-106208879-106210414</th>\n",
       "      <td>92.228929</td>\n",
       "      <td>0.937808</td>\n",
       "      <td>0.238406</td>\n",
       "      <td>3.933665</td>\n",
       "      <td>8.366041e-05</td>\n",
       "      <td>6.313407e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106208879</td>\n",
       "      <td>106210414</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106073246</td>\n",
       "      <td>106084499</td>\n",
       "      <td>RP5-947P14.1 &gt;10k</td>\n",
       "      <td>-124381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109049394-109049944</th>\n",
       "      <td>29.344981</td>\n",
       "      <td>-1.489876</td>\n",
       "      <td>0.380001</td>\n",
       "      <td>-3.920712</td>\n",
       "      <td>8.828755e-05</td>\n",
       "      <td>6.606845e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109049394</td>\n",
       "      <td>109049944</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109046827</td>\n",
       "      <td>109047482</td>\n",
       "      <td>RANP5 &lt;5k</td>\n",
       "      <td>-1913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-0.879627</td>\n",
       "      <td>0.167777</td>\n",
       "      <td>-5.242837</td>\n",
       "      <td>1.581264e-07</td>\n",
       "      <td>3.295560e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109712254</td>\n",
       "      <td>109775428</td>\n",
       "      <td>GSTM5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-0.879627</td>\n",
       "      <td>0.167777</td>\n",
       "      <td>-5.242837</td>\n",
       "      <td>1.581264e-07</td>\n",
       "      <td>3.295560e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109725819</td>\n",
       "      <td>109775252</td>\n",
       "      <td>RP4-735C1.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109823267-109824680</th>\n",
       "      <td>233.671174</td>\n",
       "      <td>-1.520944</td>\n",
       "      <td>0.388642</td>\n",
       "      <td>-3.913485</td>\n",
       "      <td>9.097369e-05</td>\n",
       "      <td>6.769464e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109823267</td>\n",
       "      <td>109824680</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109828354</td>\n",
       "      <td>109871436</td>\n",
       "      <td>RP4-735C1.6 &lt;5k</td>\n",
       "      <td>3675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109917885-109918906</th>\n",
       "      <td>72.108120</td>\n",
       "      <td>1.123028</td>\n",
       "      <td>0.211295</td>\n",
       "      <td>5.314964</td>\n",
       "      <td>1.066782e-07</td>\n",
       "      <td>2.335015e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109917885</td>\n",
       "      <td>109918906</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109946416-109950297</th>\n",
       "      <td>550.464851</td>\n",
       "      <td>0.763571</td>\n",
       "      <td>0.165144</td>\n",
       "      <td>4.623678</td>\n",
       "      <td>3.769949e-06</td>\n",
       "      <td>4.843000e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109946416</td>\n",
       "      <td>109950297</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1 &gt;10k</td>\n",
       "      <td>-15425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109950427-109950891</th>\n",
       "      <td>43.575947</td>\n",
       "      <td>1.127878</td>\n",
       "      <td>0.264330</td>\n",
       "      <td>4.266933</td>\n",
       "      <td>1.981787e-05</td>\n",
       "      <td>1.931443e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109950427</td>\n",
       "      <td>109950891</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1 &gt;10k</td>\n",
       "      <td>-19436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-11026225-11026547</th>\n",
       "      <td>20.169421</td>\n",
       "      <td>1.449144</td>\n",
       "      <td>0.317614</td>\n",
       "      <td>4.562598</td>\n",
       "      <td>5.052454e-06</td>\n",
       "      <td>6.198799e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026225</td>\n",
       "      <td>11026547</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11012343</td>\n",
       "      <td>11026420</td>\n",
       "      <td>TARDBP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-11026225-11026547</th>\n",
       "      <td>20.169421</td>\n",
       "      <td>1.449144</td>\n",
       "      <td>0.317614</td>\n",
       "      <td>4.562598</td>\n",
       "      <td>5.052454e-06</td>\n",
       "      <td>6.198799e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026225</td>\n",
       "      <td>11026547</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11012661</td>\n",
       "      <td>11030528</td>\n",
       "      <td>TARDBP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-11026225-11026547</th>\n",
       "      <td>20.169421</td>\n",
       "      <td>1.449144</td>\n",
       "      <td>0.317614</td>\n",
       "      <td>4.562598</td>\n",
       "      <td>5.052454e-06</td>\n",
       "      <td>6.198799e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026225</td>\n",
       "      <td>11026547</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026522</td>\n",
       "      <td>11047233</td>\n",
       "      <td>MASP2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-111364954-111365385</th>\n",
       "      <td>33.839098</td>\n",
       "      <td>1.418333</td>\n",
       "      <td>0.333680</td>\n",
       "      <td>4.250575</td>\n",
       "      <td>2.132227e-05</td>\n",
       "      <td>2.052019e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111364954</td>\n",
       "      <td>111365385</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111353274</td>\n",
       "      <td>111367409</td>\n",
       "      <td>CHIAP3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-111447160-111447719</th>\n",
       "      <td>35.740531</td>\n",
       "      <td>1.524674</td>\n",
       "      <td>0.300121</td>\n",
       "      <td>5.080200</td>\n",
       "      <td>3.770384e-07</td>\n",
       "      <td>6.844243e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111447160</td>\n",
       "      <td>111447719</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111439889</td>\n",
       "      <td>111449376</td>\n",
       "      <td>WDR77</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112544310-112544737</th>\n",
       "      <td>25.921036</td>\n",
       "      <td>1.146775</td>\n",
       "      <td>0.294450</td>\n",
       "      <td>3.894638</td>\n",
       "      <td>9.834569e-05</td>\n",
       "      <td>7.221953e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112544310</td>\n",
       "      <td>112544737</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112523517</td>\n",
       "      <td>112620825</td>\n",
       "      <td>ST7L</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112617297-112617620</th>\n",
       "      <td>22.313604</td>\n",
       "      <td>1.284865</td>\n",
       "      <td>0.333406</td>\n",
       "      <td>3.853756</td>\n",
       "      <td>1.163196e-04</td>\n",
       "      <td>8.246481e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112617297</td>\n",
       "      <td>112617620</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112523517</td>\n",
       "      <td>112620825</td>\n",
       "      <td>ST7L</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.604447</td>\n",
       "      <td>0.204628</td>\n",
       "      <td>7.840782</td>\n",
       "      <td>4.477495e-15</td>\n",
       "      <td>6.853744e-13</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.604447</td>\n",
       "      <td>0.204628</td>\n",
       "      <td>7.840782</td>\n",
       "      <td>4.477495e-15</td>\n",
       "      <td>6.853744e-13</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634718</td>\n",
       "      <td>112634784</td>\n",
       "      <td>RNU7-70P</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112639284-112639758</th>\n",
       "      <td>22.687426</td>\n",
       "      <td>1.665664</td>\n",
       "      <td>0.322475</td>\n",
       "      <td>5.165248</td>\n",
       "      <td>2.401200e-07</td>\n",
       "      <td>4.669356e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112639284</td>\n",
       "      <td>112639758</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112646035-112646630</th>\n",
       "      <td>35.861396</td>\n",
       "      <td>1.614431</td>\n",
       "      <td>0.275088</td>\n",
       "      <td>5.868782</td>\n",
       "      <td>4.390076e-09</td>\n",
       "      <td>1.464727e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112646035</td>\n",
       "      <td>112646630</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112687208-112688393</th>\n",
       "      <td>89.741852</td>\n",
       "      <td>0.910826</td>\n",
       "      <td>0.215326</td>\n",
       "      <td>4.229986</td>\n",
       "      <td>2.337054e-05</td>\n",
       "      <td>2.211562e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112687208</td>\n",
       "      <td>112688393</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112673140</td>\n",
       "      <td>112700746</td>\n",
       "      <td>MOV10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112817608-112819121</th>\n",
       "      <td>93.659445</td>\n",
       "      <td>1.532235</td>\n",
       "      <td>0.211604</td>\n",
       "      <td>7.241055</td>\n",
       "      <td>4.452085e-13</td>\n",
       "      <td>4.605468e-11</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112817608</td>\n",
       "      <td>112819121</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &lt;5k</td>\n",
       "      <td>1049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69086284-69086637</th>\n",
       "      <td>23.426675</td>\n",
       "      <td>-1.507119</td>\n",
       "      <td>0.367143</td>\n",
       "      <td>-4.104986</td>\n",
       "      <td>4.043388e-05</td>\n",
       "      <td>3.488231e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69086284</td>\n",
       "      <td>69086637</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>74214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69087143-69089981</th>\n",
       "      <td>286.210911</td>\n",
       "      <td>-1.821807</td>\n",
       "      <td>0.347794</td>\n",
       "      <td>-5.238181</td>\n",
       "      <td>1.621666e-07</td>\n",
       "      <td>3.364290e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69087143</td>\n",
       "      <td>69089981</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>70870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69091323-69091795</th>\n",
       "      <td>31.002898</td>\n",
       "      <td>-2.143279</td>\n",
       "      <td>0.345082</td>\n",
       "      <td>-6.210930</td>\n",
       "      <td>5.267191e-10</td>\n",
       "      <td>2.346619e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69091323</td>\n",
       "      <td>69091795</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>69056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69094668-69095607</th>\n",
       "      <td>44.372363</td>\n",
       "      <td>-1.517299</td>\n",
       "      <td>0.265444</td>\n",
       "      <td>-5.716072</td>\n",
       "      <td>1.090144e-08</td>\n",
       "      <td>3.258957e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69094668</td>\n",
       "      <td>69095607</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>65244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69104639-69107673</th>\n",
       "      <td>280.835047</td>\n",
       "      <td>-1.752305</td>\n",
       "      <td>0.296547</td>\n",
       "      <td>-5.909022</td>\n",
       "      <td>3.441446e-09</td>\n",
       "      <td>1.184867e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69104639</td>\n",
       "      <td>69107673</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>53178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69107678-69108599</th>\n",
       "      <td>107.391269</td>\n",
       "      <td>-1.624030</td>\n",
       "      <td>0.330399</td>\n",
       "      <td>-4.915362</td>\n",
       "      <td>8.861849e-07</td>\n",
       "      <td>1.418303e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69107678</td>\n",
       "      <td>69108599</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>52252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69110066-69110544</th>\n",
       "      <td>30.335861</td>\n",
       "      <td>-2.131007</td>\n",
       "      <td>0.429942</td>\n",
       "      <td>-4.956494</td>\n",
       "      <td>7.177643e-07</td>\n",
       "      <td>1.178731e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69110066</td>\n",
       "      <td>69110544</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>50307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69221393-69222223</th>\n",
       "      <td>74.300790</td>\n",
       "      <td>-1.927212</td>\n",
       "      <td>0.344354</td>\n",
       "      <td>-5.596596</td>\n",
       "      <td>2.186017e-08</td>\n",
       "      <td>5.988286e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69221393</td>\n",
       "      <td>69222223</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-11470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69222370-69223036</th>\n",
       "      <td>72.182827</td>\n",
       "      <td>-1.457386</td>\n",
       "      <td>0.351244</td>\n",
       "      <td>-4.149213</td>\n",
       "      <td>3.336209e-05</td>\n",
       "      <td>2.980290e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69222370</td>\n",
       "      <td>69223036</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-12447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69277621-69278832</th>\n",
       "      <td>108.145922</td>\n",
       "      <td>-1.930888</td>\n",
       "      <td>0.382019</td>\n",
       "      <td>-5.054432</td>\n",
       "      <td>4.316729e-07</td>\n",
       "      <td>7.661053e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69277621</td>\n",
       "      <td>69278832</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-67698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69284970-69286621</th>\n",
       "      <td>200.976837</td>\n",
       "      <td>-1.884367</td>\n",
       "      <td>0.384600</td>\n",
       "      <td>-4.899548</td>\n",
       "      <td>9.605716e-07</td>\n",
       "      <td>1.518581e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69284970</td>\n",
       "      <td>69286621</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69179556</td>\n",
       "      <td>69209924</td>\n",
       "      <td>LINC00269 &gt;10k</td>\n",
       "      <td>-75047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7109532-7111732</th>\n",
       "      <td>177.155024</td>\n",
       "      <td>0.664799</td>\n",
       "      <td>0.161352</td>\n",
       "      <td>4.120172</td>\n",
       "      <td>3.785898e-05</td>\n",
       "      <td>3.304692e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7109532</td>\n",
       "      <td>7111732</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-71182340-71182892</th>\n",
       "      <td>31.085095</td>\n",
       "      <td>-1.473573</td>\n",
       "      <td>0.385809</td>\n",
       "      <td>-3.819437</td>\n",
       "      <td>1.337566e-04</td>\n",
       "      <td>9.251070e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71182340</td>\n",
       "      <td>71182892</td>\n",
       "      <td>chrX</td>\n",
       "      <td>71183558</td>\n",
       "      <td>71198175</td>\n",
       "      <td>RP5-1091N2.9 &lt;1k</td>\n",
       "      <td>667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7120129-7120657</th>\n",
       "      <td>45.437747</td>\n",
       "      <td>1.678209</td>\n",
       "      <td>0.277935</td>\n",
       "      <td>6.038133</td>\n",
       "      <td>1.559076e-09</td>\n",
       "      <td>5.986455e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7120129</td>\n",
       "      <td>7120657</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7120812-7121708</th>\n",
       "      <td>65.992306</td>\n",
       "      <td>1.027047</td>\n",
       "      <td>0.222215</td>\n",
       "      <td>4.621864</td>\n",
       "      <td>3.803081e-06</td>\n",
       "      <td>4.878646e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7120812</td>\n",
       "      <td>7121708</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>2.013262</td>\n",
       "      <td>0.266132</td>\n",
       "      <td>7.564895</td>\n",
       "      <td>3.881784e-14</td>\n",
       "      <td>4.912842e-12</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>2.013262</td>\n",
       "      <td>0.266132</td>\n",
       "      <td>7.564895</td>\n",
       "      <td>3.881784e-14</td>\n",
       "      <td>4.912842e-12</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.674150</td>\n",
       "      <td>0.317178</td>\n",
       "      <td>5.278268</td>\n",
       "      <td>1.304108e-07</td>\n",
       "      <td>2.785847e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.674150</td>\n",
       "      <td>0.317178</td>\n",
       "      <td>5.278268</td>\n",
       "      <td>1.304108e-07</td>\n",
       "      <td>2.785847e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72571755-72573441</th>\n",
       "      <td>296.500091</td>\n",
       "      <td>0.602623</td>\n",
       "      <td>0.138426</td>\n",
       "      <td>4.353403</td>\n",
       "      <td>1.340403e-05</td>\n",
       "      <td>1.397108e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72571755</td>\n",
       "      <td>72573441</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72329515</td>\n",
       "      <td>72573103</td>\n",
       "      <td>HDAC8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>0.449171</td>\n",
       "      <td>0.107215</td>\n",
       "      <td>4.189434</td>\n",
       "      <td>2.796512e-05</td>\n",
       "      <td>2.574825e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944323</td>\n",
       "      <td>74070408</td>\n",
       "      <td>JPX</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>0.449171</td>\n",
       "      <td>0.107215</td>\n",
       "      <td>4.189434</td>\n",
       "      <td>2.796512e-05</td>\n",
       "      <td>2.574825e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944331</td>\n",
       "      <td>73944466</td>\n",
       "      <td>JPX_1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>0.449171</td>\n",
       "      <td>0.107215</td>\n",
       "      <td>4.189434</td>\n",
       "      <td>2.796512e-05</td>\n",
       "      <td>2.574825e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944594</td>\n",
       "      <td>73944663</td>\n",
       "      <td>JPX_2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79452205-79452837</th>\n",
       "      <td>33.656739</td>\n",
       "      <td>-1.097484</td>\n",
       "      <td>0.270994</td>\n",
       "      <td>-4.049840</td>\n",
       "      <td>5.125262e-05</td>\n",
       "      <td>4.219889e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79452205</td>\n",
       "      <td>79452837</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79453042-79453574</th>\n",
       "      <td>31.958500</td>\n",
       "      <td>-1.313396</td>\n",
       "      <td>0.314439</td>\n",
       "      <td>-4.176944</td>\n",
       "      <td>2.954519e-05</td>\n",
       "      <td>2.696743e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79453042</td>\n",
       "      <td>79453574</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96978842-96980758</th>\n",
       "      <td>130.731951</td>\n",
       "      <td>0.879770</td>\n",
       "      <td>0.166350</td>\n",
       "      <td>5.288658</td>\n",
       "      <td>1.232170e-07</td>\n",
       "      <td>2.652261e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96978842</td>\n",
       "      <td>96980758</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96980936-96981282</th>\n",
       "      <td>22.106884</td>\n",
       "      <td>1.475612</td>\n",
       "      <td>0.332006</td>\n",
       "      <td>4.444529</td>\n",
       "      <td>8.808464e-06</td>\n",
       "      <td>9.869008e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96980936</td>\n",
       "      <td>96981282</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96981481-96982270</th>\n",
       "      <td>74.033348</td>\n",
       "      <td>1.766293</td>\n",
       "      <td>0.263946</td>\n",
       "      <td>6.691881</td>\n",
       "      <td>2.203195e-11</td>\n",
       "      <td>1.441804e-09</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96981481</td>\n",
       "      <td>96982270</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96982600-96983282</th>\n",
       "      <td>66.057267</td>\n",
       "      <td>2.022898</td>\n",
       "      <td>0.286769</td>\n",
       "      <td>7.054102</td>\n",
       "      <td>1.737187e-12</td>\n",
       "      <td>1.525392e-10</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96982600</td>\n",
       "      <td>96983282</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96983571-96985630</th>\n",
       "      <td>111.085318</td>\n",
       "      <td>1.933616</td>\n",
       "      <td>0.272304</td>\n",
       "      <td>7.100949</td>\n",
       "      <td>1.239027e-12</td>\n",
       "      <td>1.131836e-10</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96983571</td>\n",
       "      <td>96985630</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7391 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr1-1031319-1032116       53.982961       -2.029873  0.470279 -4.316313   \n",
       "chr1-10456862-10457273     23.349748        1.329913  0.312476  4.256048   \n",
       "chr1-104798816-104799142   17.590827       -1.659378  0.365696 -4.537589   \n",
       "chr1-105137052-105139071  213.505063       -1.028773  0.170686 -6.027279   \n",
       "chr1-105350097-105351227   59.321446        1.601450  0.340986  4.696521   \n",
       "chr1-105351987-105352940   39.428125        1.520973  0.343791  4.424121   \n",
       "chr1-105631073-105631887   55.788257       -3.009934  0.470820 -6.392960   \n",
       "chr1-105631893-105633737  152.316048       -1.111891  0.239587 -4.640874   \n",
       "chr1-105795769-105796181   29.204728       -2.089887  0.481499 -4.340375   \n",
       "chr1-106208879-106210414   92.228929        0.937808  0.238406  3.933665   \n",
       "chr1-109049394-109049944   29.344981       -1.489876  0.380001 -3.920712   \n",
       "chr1-109730222-109733088  216.295926       -0.879627  0.167777 -5.242837   \n",
       "chr1-109730222-109733088  216.295926       -0.879627  0.167777 -5.242837   \n",
       "chr1-109823267-109824680  233.671174       -1.520944  0.388642 -3.913485   \n",
       "chr1-109917885-109918906   72.108120        1.123028  0.211295  5.314964   \n",
       "chr1-109946416-109950297  550.464851        0.763571  0.165144  4.623678   \n",
       "chr1-109950427-109950891   43.575947        1.127878  0.264330  4.266933   \n",
       "chr1-11026225-11026547     20.169421        1.449144  0.317614  4.562598   \n",
       "chr1-11026225-11026547     20.169421        1.449144  0.317614  4.562598   \n",
       "chr1-11026225-11026547     20.169421        1.449144  0.317614  4.562598   \n",
       "chr1-111364954-111365385   33.839098        1.418333  0.333680  4.250575   \n",
       "chr1-111447160-111447719   35.740531        1.524674  0.300121  5.080200   \n",
       "chr1-112544310-112544737   25.921036        1.146775  0.294450  3.894638   \n",
       "chr1-112617297-112617620   22.313604        1.284865  0.333406  3.853756   \n",
       "chr1-112634672-112638850  437.429351        1.604447  0.204628  7.840782   \n",
       "chr1-112634672-112638850  437.429351        1.604447  0.204628  7.840782   \n",
       "chr1-112639284-112639758   22.687426        1.665664  0.322475  5.165248   \n",
       "chr1-112646035-112646630   35.861396        1.614431  0.275088  5.868782   \n",
       "chr1-112687208-112688393   89.741852        0.910826  0.215326  4.229986   \n",
       "chr1-112817608-112819121   93.659445        1.532235  0.211604  7.241055   \n",
       "...                              ...             ...       ...       ...   \n",
       "chrX-69086284-69086637     23.426675       -1.507119  0.367143 -4.104986   \n",
       "chrX-69087143-69089981    286.210911       -1.821807  0.347794 -5.238181   \n",
       "chrX-69091323-69091795     31.002898       -2.143279  0.345082 -6.210930   \n",
       "chrX-69094668-69095607     44.372363       -1.517299  0.265444 -5.716072   \n",
       "chrX-69104639-69107673    280.835047       -1.752305  0.296547 -5.909022   \n",
       "chrX-69107678-69108599    107.391269       -1.624030  0.330399 -4.915362   \n",
       "chrX-69110066-69110544     30.335861       -2.131007  0.429942 -4.956494   \n",
       "chrX-69221393-69222223     74.300790       -1.927212  0.344354 -5.596596   \n",
       "chrX-69222370-69223036     72.182827       -1.457386  0.351244 -4.149213   \n",
       "chrX-69277621-69278832    108.145922       -1.930888  0.382019 -5.054432   \n",
       "chrX-69284970-69286621    200.976837       -1.884367  0.384600 -4.899548   \n",
       "chrX-7109532-7111732      177.155024        0.664799  0.161352  4.120172   \n",
       "chrX-71182340-71182892     31.085095       -1.473573  0.385809 -3.819437   \n",
       "chrX-7120129-7120657       45.437747        1.678209  0.277935  6.038133   \n",
       "chrX-7120812-7121708       65.992306        1.027047  0.222215  4.621864   \n",
       "chrX-72271456-72272562     68.468871        2.013262  0.266132  7.564895   \n",
       "chrX-72271456-72272562     68.468871        2.013262  0.266132  7.564895   \n",
       "chrX-72272823-72273169     21.280833        1.674150  0.317178  5.278268   \n",
       "chrX-72272823-72273169     21.280833        1.674150  0.317178  5.278268   \n",
       "chrX-72571755-72573441    296.500091        0.602623  0.138426  4.353403   \n",
       "chrX-73943559-73945959    647.965948        0.449171  0.107215  4.189434   \n",
       "chrX-73943559-73945959    647.965948        0.449171  0.107215  4.189434   \n",
       "chrX-73943559-73945959    647.965948        0.449171  0.107215  4.189434   \n",
       "chrX-79452205-79452837     33.656739       -1.097484  0.270994 -4.049840   \n",
       "chrX-79453042-79453574     31.958500       -1.313396  0.314439 -4.176944   \n",
       "chrX-96978842-96980758    130.731951        0.879770  0.166350  5.288658   \n",
       "chrX-96980936-96981282     22.106884        1.475612  0.332006  4.444529   \n",
       "chrX-96981481-96982270     74.033348        1.766293  0.263946  6.691881   \n",
       "chrX-96982600-96983282     66.057267        2.022898  0.286769  7.054102   \n",
       "chrX-96983571-96985630    111.085318        1.933616  0.272304  7.100949   \n",
       "\n",
       "                                pvalue          padj chrom_peak  start_peak  \\\n",
       "chr1-1031319-1032116      1.586566e-05  1.605758e-04       chr1     1031319   \n",
       "chr1-10456862-10457273    2.080716e-05  2.011437e-04       chr1    10456862   \n",
       "chr1-104798816-104799142  5.690101e-06  6.848364e-05       chr1   104798816   \n",
       "chr1-105137052-105139071  1.667427e-09  6.338041e-08       chr1   105137052   \n",
       "chr1-105350097-105351227  2.646302e-06  3.586015e-05       chr1   105350097   \n",
       "chr1-105351987-105352940  9.683565e-06  1.069085e-04       chr1   105351987   \n",
       "chr1-105631073-105631887  1.627045e-10  8.493065e-09       chr1   105631073   \n",
       "chr1-105631893-105633737  3.469394e-06  4.512185e-05       chr1   105631893   \n",
       "chr1-105795769-105796181  1.422398e-05  1.466894e-04       chr1   105795769   \n",
       "chr1-106208879-106210414  8.366041e-05  6.313407e-04       chr1   106208879   \n",
       "chr1-109049394-109049944  8.828755e-05  6.606845e-04       chr1   109049394   \n",
       "chr1-109730222-109733088  1.581264e-07  3.295560e-06       chr1   109730222   \n",
       "chr1-109730222-109733088  1.581264e-07  3.295560e-06       chr1   109730222   \n",
       "chr1-109823267-109824680  9.097369e-05  6.769464e-04       chr1   109823267   \n",
       "chr1-109917885-109918906  1.066782e-07  2.335015e-06       chr1   109917885   \n",
       "chr1-109946416-109950297  3.769949e-06  4.843000e-05       chr1   109946416   \n",
       "chr1-109950427-109950891  1.981787e-05  1.931443e-04       chr1   109950427   \n",
       "chr1-11026225-11026547    5.052454e-06  6.198799e-05       chr1    11026225   \n",
       "chr1-11026225-11026547    5.052454e-06  6.198799e-05       chr1    11026225   \n",
       "chr1-11026225-11026547    5.052454e-06  6.198799e-05       chr1    11026225   \n",
       "chr1-111364954-111365385  2.132227e-05  2.052019e-04       chr1   111364954   \n",
       "chr1-111447160-111447719  3.770384e-07  6.844243e-06       chr1   111447160   \n",
       "chr1-112544310-112544737  9.834569e-05  7.221953e-04       chr1   112544310   \n",
       "chr1-112617297-112617620  1.163196e-04  8.246481e-04       chr1   112617297   \n",
       "chr1-112634672-112638850  4.477495e-15  6.853744e-13       chr1   112634672   \n",
       "chr1-112634672-112638850  4.477495e-15  6.853744e-13       chr1   112634672   \n",
       "chr1-112639284-112639758  2.401200e-07  4.669356e-06       chr1   112639284   \n",
       "chr1-112646035-112646630  4.390076e-09  1.464727e-07       chr1   112646035   \n",
       "chr1-112687208-112688393  2.337054e-05  2.211562e-04       chr1   112687208   \n",
       "chr1-112817608-112819121  4.452085e-13  4.605468e-11       chr1   112817608   \n",
       "...                                ...           ...        ...         ...   \n",
       "chrX-69086284-69086637    4.043388e-05  3.488231e-04       chrX    69086284   \n",
       "chrX-69087143-69089981    1.621666e-07  3.364290e-06       chrX    69087143   \n",
       "chrX-69091323-69091795    5.267191e-10  2.346619e-08       chrX    69091323   \n",
       "chrX-69094668-69095607    1.090144e-08  3.258957e-07       chrX    69094668   \n",
       "chrX-69104639-69107673    3.441446e-09  1.184867e-07       chrX    69104639   \n",
       "chrX-69107678-69108599    8.861849e-07  1.418303e-05       chrX    69107678   \n",
       "chrX-69110066-69110544    7.177643e-07  1.178731e-05       chrX    69110066   \n",
       "chrX-69221393-69222223    2.186017e-08  5.988286e-07       chrX    69221393   \n",
       "chrX-69222370-69223036    3.336209e-05  2.980290e-04       chrX    69222370   \n",
       "chrX-69277621-69278832    4.316729e-07  7.661053e-06       chrX    69277621   \n",
       "chrX-69284970-69286621    9.605716e-07  1.518581e-05       chrX    69284970   \n",
       "chrX-7109532-7111732      3.785898e-05  3.304692e-04       chrX     7109532   \n",
       "chrX-71182340-71182892    1.337566e-04  9.251070e-04       chrX    71182340   \n",
       "chrX-7120129-7120657      1.559076e-09  5.986455e-08       chrX     7120129   \n",
       "chrX-7120812-7121708      3.803081e-06  4.878646e-05       chrX     7120812   \n",
       "chrX-72271456-72272562    3.881784e-14  4.912842e-12       chrX    72271456   \n",
       "chrX-72271456-72272562    3.881784e-14  4.912842e-12       chrX    72271456   \n",
       "chrX-72272823-72273169    1.304108e-07  2.785847e-06       chrX    72272823   \n",
       "chrX-72272823-72273169    1.304108e-07  2.785847e-06       chrX    72272823   \n",
       "chrX-72571755-72573441    1.340403e-05  1.397108e-04       chrX    72571755   \n",
       "chrX-73943559-73945959    2.796512e-05  2.574825e-04       chrX    73943559   \n",
       "chrX-73943559-73945959    2.796512e-05  2.574825e-04       chrX    73943559   \n",
       "chrX-73943559-73945959    2.796512e-05  2.574825e-04       chrX    73943559   \n",
       "chrX-79452205-79452837    5.125262e-05  4.219889e-04       chrX    79452205   \n",
       "chrX-79453042-79453574    2.954519e-05  2.696743e-04       chrX    79453042   \n",
       "chrX-96978842-96980758    1.232170e-07  2.652261e-06       chrX    96978842   \n",
       "chrX-96980936-96981282    8.808464e-06  9.869008e-05       chrX    96980936   \n",
       "chrX-96981481-96982270    2.203195e-11  1.441804e-09       chrX    96981481   \n",
       "chrX-96982600-96983282    1.737187e-12  1.525392e-10       chrX    96982600   \n",
       "chrX-96983571-96985630    1.239027e-12  1.131836e-10       chrX    96983571   \n",
       "\n",
       "                           end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr1-1031319-1032116        1032116       chr1     1020122    1056118   \n",
       "chr1-10456862-10457273     10457273       chr1    10456521   10472526   \n",
       "chr1-104798816-104799142  104799142       chr1   105433993  105434821   \n",
       "chr1-105137052-105139071  105139071       chr1   105433993  105434821   \n",
       "chr1-105350097-105351227  105351227       chr1   105433993  105434821   \n",
       "chr1-105351987-105352940  105352940       chr1   105433993  105434821   \n",
       "chr1-105631073-105631887  105631887       chr1   105587574  105618958   \n",
       "chr1-105631893-105633737  105633737       chr1   105587574  105618958   \n",
       "chr1-105795769-105796181  105796181       chr1   105890692  105891430   \n",
       "chr1-106208879-106210414  106210414       chr1   106073246  106084499   \n",
       "chr1-109049394-109049944  109049944       chr1   109046827  109047482   \n",
       "chr1-109730222-109733088  109733088       chr1   109712254  109775428   \n",
       "chr1-109730222-109733088  109733088       chr1   109725819  109775252   \n",
       "chr1-109823267-109824680  109824680       chr1   109828354  109871436   \n",
       "chr1-109917885-109918906  109918906       chr1   109910241  109930992   \n",
       "chr1-109946416-109950297  109950297       chr1   109910241  109930992   \n",
       "chr1-109950427-109950891  109950891       chr1   109910241  109930992   \n",
       "chr1-11026225-11026547     11026547       chr1    11012343   11026420   \n",
       "chr1-11026225-11026547     11026547       chr1    11012661   11030528   \n",
       "chr1-11026225-11026547     11026547       chr1    11026522   11047233   \n",
       "chr1-111364954-111365385  111365385       chr1   111353274  111367409   \n",
       "chr1-111447160-111447719  111447719       chr1   111439889  111449376   \n",
       "chr1-112544310-112544737  112544737       chr1   112523517  112620825   \n",
       "chr1-112617297-112617620  112617620       chr1   112523517  112620825   \n",
       "chr1-112634672-112638850  112638850       chr1   112619172  112671619   \n",
       "chr1-112634672-112638850  112638850       chr1   112634718  112634784   \n",
       "chr1-112639284-112639758  112639758       chr1   112619172  112671619   \n",
       "chr1-112646035-112646630  112646630       chr1   112619172  112671619   \n",
       "chr1-112687208-112688393  112688393       chr1   112673140  112700746   \n",
       "chr1-112817608-112819121  112819121       chr1   112820169  112850643   \n",
       "...                             ...        ...         ...        ...   \n",
       "chrX-69086284-69086637     69086637       chrX    69160850   69165793   \n",
       "chrX-69087143-69089981     69089981       chrX    69160850   69165793   \n",
       "chrX-69091323-69091795     69091795       chrX    69160850   69165793   \n",
       "chrX-69094668-69095607     69095607       chrX    69160850   69165793   \n",
       "chrX-69104639-69107673     69107673       chrX    69160850   69165793   \n",
       "chrX-69107678-69108599     69108599       chrX    69160850   69165793   \n",
       "chrX-69110066-69110544     69110544       chrX    69160850   69165793   \n",
       "chrX-69221393-69222223     69222223       chrX    69179556   69209924   \n",
       "chrX-69222370-69223036     69223036       chrX    69179556   69209924   \n",
       "chrX-69277621-69278832     69278832       chrX    69179556   69209924   \n",
       "chrX-69284970-69286621     69286621       chrX    69179556   69209924   \n",
       "chrX-7109532-7111732        7111732       chrX     7048919    7148190   \n",
       "chrX-71182340-71182892     71182892       chrX    71183558   71198175   \n",
       "chrX-7120129-7120657        7120657       chrX     7048919    7148190   \n",
       "chrX-7120812-7121708        7121708       chrX     7048919    7148190   \n",
       "chrX-72271456-72272562     72272562       chrX    72181352   72302926   \n",
       "chrX-72271456-72272562     72272562       chrX    72255678   72277300   \n",
       "chrX-72272823-72273169     72273169       chrX    72181352   72302926   \n",
       "chrX-72272823-72273169     72273169       chrX    72255678   72277300   \n",
       "chrX-72571755-72573441     72573441       chrX    72329515   72573103   \n",
       "chrX-73943559-73945959     73945959       chrX    73944323   74070408   \n",
       "chrX-73943559-73945959     73945959       chrX    73944331   73944466   \n",
       "chrX-73943559-73945959     73945959       chrX    73944594   73944663   \n",
       "chrX-79452205-79452837     79452837       chrX    79369363   79370165   \n",
       "chrX-79453042-79453574     79453574       chrX    79369363   79370165   \n",
       "chrX-96978842-96980758     96980758       chrX    96684662   97604997   \n",
       "chrX-96980936-96981282     96981282       chrX    96684662   97604997   \n",
       "chrX-96981481-96982270     96982270       chrX    96684662   97604997   \n",
       "chrX-96982600-96983282     96983282       chrX    96684662   97604997   \n",
       "chrX-96983571-96985630     96985630       chrX    96684662   97604997   \n",
       "\n",
       "                                  gene_name  distance  \n",
       "chr1-1031319-1032116                  AGRN          0  \n",
       "chr1-10456862-10457273                DFFA          0  \n",
       "chr1-104798816-104799142  RP11-414B7.1 >10k    634852  \n",
       "chr1-105137052-105139071  RP11-414B7.1 >10k    294923  \n",
       "chr1-105350097-105351227  RP11-414B7.1 >10k     82767  \n",
       "chr1-105351987-105352940  RP11-414B7.1 >10k     81054  \n",
       "chr1-105631073-105631887  RP11-251P6.1 >10k    -12116  \n",
       "chr1-105631893-105633737  RP11-251P6.1 >10k    -12936  \n",
       "chr1-105795769-105796181   RP11-90H3.2 >10k     94512  \n",
       "chr1-106208879-106210414  RP5-947P14.1 >10k   -124381  \n",
       "chr1-109049394-109049944          RANP5 <5k     -1913  \n",
       "chr1-109730222-109733088             GSTM5          0  \n",
       "chr1-109730222-109733088       RP4-735C1.4          0  \n",
       "chr1-109823267-109824680    RP4-735C1.6 <5k      3675  \n",
       "chr1-109917885-109918906              CSF1          0  \n",
       "chr1-109946416-109950297          CSF1 >10k    -15425  \n",
       "chr1-109950427-109950891          CSF1 >10k    -19436  \n",
       "chr1-11026225-11026547              TARDBP          0  \n",
       "chr1-11026225-11026547              TARDBP          0  \n",
       "chr1-11026225-11026547               MASP2          0  \n",
       "chr1-111364954-111365385            CHIAP3          0  \n",
       "chr1-111447160-111447719             WDR77          0  \n",
       "chr1-112544310-112544737              ST7L          0  \n",
       "chr1-112617297-112617620              ST7L          0  \n",
       "chr1-112634672-112638850            CAPZA1          0  \n",
       "chr1-112634672-112638850          RNU7-70P          0  \n",
       "chr1-112639284-112639758            CAPZA1          0  \n",
       "chr1-112646035-112646630            CAPZA1          0  \n",
       "chr1-112687208-112688393             MOV10          0  \n",
       "chr1-112817608-112819121      LINC01356 <5k      1049  \n",
       "...                                     ...       ...  \n",
       "chrX-69086284-69086637            PJA1 >10k     74214  \n",
       "chrX-69087143-69089981            PJA1 >10k     70870  \n",
       "chrX-69091323-69091795            PJA1 >10k     69056  \n",
       "chrX-69094668-69095607            PJA1 >10k     65244  \n",
       "chrX-69104639-69107673            PJA1 >10k     53178  \n",
       "chrX-69107678-69108599            PJA1 >10k     52252  \n",
       "chrX-69110066-69110544            PJA1 >10k     50307  \n",
       "chrX-69221393-69222223       LINC00269 >10k    -11470  \n",
       "chrX-69222370-69223036       LINC00269 >10k    -12447  \n",
       "chrX-69277621-69278832       LINC00269 >10k    -67698  \n",
       "chrX-69284970-69286621       LINC00269 >10k    -75047  \n",
       "chrX-7109532-7111732                 HDHD1          0  \n",
       "chrX-71182340-71182892     RP5-1091N2.9 <1k       667  \n",
       "chrX-7120129-7120657                 HDHD1          0  \n",
       "chrX-7120812-7121708                 HDHD1          0  \n",
       "chrX-72271456-72272562                PIN4          0  \n",
       "chrX-72271456-72272562               RPS4X          0  \n",
       "chrX-72272823-72273169                PIN4          0  \n",
       "chrX-72272823-72273169               RPS4X          0  \n",
       "chrX-72571755-72573441               HDAC8          0  \n",
       "chrX-73943559-73945959                 JPX          0  \n",
       "chrX-73943559-73945959               JPX_1          0  \n",
       "chrX-73943559-73945959               JPX_2          0  \n",
       "chrX-79452205-79452837    RP1-164L12.1 >10k    -82041  \n",
       "chrX-79453042-79453574    RP1-164L12.1 >10k    -82878  \n",
       "chrX-96978842-96980758              DIAPH2          0  \n",
       "chrX-96980936-96981282              DIAPH2          0  \n",
       "chrX-96981481-96982270              DIAPH2          0  \n",
       "chrX-96982600-96983282              DIAPH2          0  \n",
       "chrX-96983571-96985630              DIAPH2          0  \n",
       "\n",
       "[7391 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== GT_vs_THZ531 ======\n"
     ]
    },
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       "      <th>baseMean</th>\n",
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       "      <th>stat</th>\n",
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       "Columns: [baseMean, log2FoldChange, lfcSE, stat, pvalue, padj, chrom_peak, start_peak, end_peak, chrom_gene, start_gene, end_gene, gene_name, distance]\n",
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      "====== GT_vs_Gefit ======\n"
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       "      <th>chr1-104798816-104799142</th>\n",
       "      <td>17.590827</td>\n",
       "      <td>-1.364763</td>\n",
       "      <td>0.354723</td>\n",
       "      <td>-3.847406</td>\n",
       "      <td>1.193748e-04</td>\n",
       "      <td>9.906144e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>104798816</td>\n",
       "      <td>104799142</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>634852</td>\n",
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       "      <th>chr1-105137052-105139071</th>\n",
       "      <td>213.505063</td>\n",
       "      <td>-0.801839</td>\n",
       "      <td>0.165510</td>\n",
       "      <td>-4.844641</td>\n",
       "      <td>1.268406e-06</td>\n",
       "      <td>2.039397e-05</td>\n",
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       "      <td>105137052</td>\n",
       "      <td>105139071</td>\n",
       "      <td>chr1</td>\n",
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       "      <td>105434821</td>\n",
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       "      <td>294923</td>\n",
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       "      <th>chr1-105193668-105194399</th>\n",
       "      <td>39.030167</td>\n",
       "      <td>1.275273</td>\n",
       "      <td>0.285095</td>\n",
       "      <td>4.473143</td>\n",
       "      <td>7.707805e-06</td>\n",
       "      <td>9.674042e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105193668</td>\n",
       "      <td>105194399</td>\n",
       "      <td>chr1</td>\n",
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       "      <td>105434821</td>\n",
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       "      <th>chr1-105350097-105351227</th>\n",
       "      <td>59.321446</td>\n",
       "      <td>1.473581</td>\n",
       "      <td>0.323227</td>\n",
       "      <td>4.558962</td>\n",
       "      <td>5.140705e-06</td>\n",
       "      <td>6.846567e-05</td>\n",
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       "      <td>105350097</td>\n",
       "      <td>105351227</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>82767</td>\n",
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       "    <tr>\n",
       "      <th>chr1-105351987-105352940</th>\n",
       "      <td>39.428125</td>\n",
       "      <td>1.514845</td>\n",
       "      <td>0.323449</td>\n",
       "      <td>4.683415</td>\n",
       "      <td>2.821349e-06</td>\n",
       "      <td>4.062044e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105351987</td>\n",
       "      <td>105352940</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>81054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105631893-105633737</th>\n",
       "      <td>152.316048</td>\n",
       "      <td>-1.208046</td>\n",
       "      <td>0.233008</td>\n",
       "      <td>-5.184570</td>\n",
       "      <td>2.165143e-07</td>\n",
       "      <td>4.405050e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105631893</td>\n",
       "      <td>105633737</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105587574</td>\n",
       "      <td>105618958</td>\n",
       "      <td>RP11-251P6.1 &gt;10k</td>\n",
       "      <td>-12936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-106208879-106210414</th>\n",
       "      <td>92.228929</td>\n",
       "      <td>0.928070</td>\n",
       "      <td>0.224699</td>\n",
       "      <td>4.130279</td>\n",
       "      <td>3.623231e-05</td>\n",
       "      <td>3.591445e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106208879</td>\n",
       "      <td>106210414</td>\n",
       "      <td>chr1</td>\n",
       "      <td>106073246</td>\n",
       "      <td>106084499</td>\n",
       "      <td>RP5-947P14.1 &gt;10k</td>\n",
       "      <td>-124381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109067133-109067480</th>\n",
       "      <td>19.386075</td>\n",
       "      <td>1.535402</td>\n",
       "      <td>0.296677</td>\n",
       "      <td>5.175323</td>\n",
       "      <td>2.275172e-07</td>\n",
       "      <td>4.589748e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109067133</td>\n",
       "      <td>109067480</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109062485</td>\n",
       "      <td>109076002</td>\n",
       "      <td>TAF13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-1.175504</td>\n",
       "      <td>0.159564</td>\n",
       "      <td>-7.366959</td>\n",
       "      <td>1.745635e-13</td>\n",
       "      <td>1.690021e-11</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109712254</td>\n",
       "      <td>109775428</td>\n",
       "      <td>GSTM5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-1.175504</td>\n",
       "      <td>0.159564</td>\n",
       "      <td>-7.366959</td>\n",
       "      <td>1.745635e-13</td>\n",
       "      <td>1.690021e-11</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109725819</td>\n",
       "      <td>109775252</td>\n",
       "      <td>RP4-735C1.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109917885-109918906</th>\n",
       "      <td>72.108120</td>\n",
       "      <td>0.772595</td>\n",
       "      <td>0.184708</td>\n",
       "      <td>4.182784</td>\n",
       "      <td>2.879605e-05</td>\n",
       "      <td>2.959221e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109917885</td>\n",
       "      <td>109918906</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109946416-109950297</th>\n",
       "      <td>550.464851</td>\n",
       "      <td>0.631787</td>\n",
       "      <td>0.159882</td>\n",
       "      <td>3.951574</td>\n",
       "      <td>7.763893e-05</td>\n",
       "      <td>6.871932e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109946416</td>\n",
       "      <td>109950297</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1 &gt;10k</td>\n",
       "      <td>-15425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-11026225-11026547</th>\n",
       "      <td>20.169421</td>\n",
       "      <td>1.273480</td>\n",
       "      <td>0.278707</td>\n",
       "      <td>4.569250</td>\n",
       "      <td>4.894737e-06</td>\n",
       "      <td>6.555591e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026225</td>\n",
       "      <td>11026547</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11012343</td>\n",
       "      <td>11026420</td>\n",
       "      <td>TARDBP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-11026225-11026547</th>\n",
       "      <td>20.169421</td>\n",
       "      <td>1.273480</td>\n",
       "      <td>0.278707</td>\n",
       "      <td>4.569250</td>\n",
       "      <td>4.894737e-06</td>\n",
       "      <td>6.555591e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026225</td>\n",
       "      <td>11026547</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11012661</td>\n",
       "      <td>11030528</td>\n",
       "      <td>TARDBP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-11026225-11026547</th>\n",
       "      <td>20.169421</td>\n",
       "      <td>1.273480</td>\n",
       "      <td>0.278707</td>\n",
       "      <td>4.569250</td>\n",
       "      <td>4.894737e-06</td>\n",
       "      <td>6.555591e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026225</td>\n",
       "      <td>11026547</td>\n",
       "      <td>chr1</td>\n",
       "      <td>11026522</td>\n",
       "      <td>11047233</td>\n",
       "      <td>MASP2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-111447160-111447719</th>\n",
       "      <td>35.740531</td>\n",
       "      <td>1.263911</td>\n",
       "      <td>0.266215</td>\n",
       "      <td>4.747716</td>\n",
       "      <td>2.057265e-06</td>\n",
       "      <td>3.100886e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111447160</td>\n",
       "      <td>111447719</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111439889</td>\n",
       "      <td>111449376</td>\n",
       "      <td>WDR77</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.545281</td>\n",
       "      <td>0.198047</td>\n",
       "      <td>7.802599</td>\n",
       "      <td>6.064497e-15</td>\n",
       "      <td>8.276395e-13</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.545281</td>\n",
       "      <td>0.198047</td>\n",
       "      <td>7.802599</td>\n",
       "      <td>6.064497e-15</td>\n",
       "      <td>8.276395e-13</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634718</td>\n",
       "      <td>112634784</td>\n",
       "      <td>RNU7-70P</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112639284-112639758</th>\n",
       "      <td>22.687426</td>\n",
       "      <td>1.884158</td>\n",
       "      <td>0.299788</td>\n",
       "      <td>6.284978</td>\n",
       "      <td>3.279007e-10</td>\n",
       "      <td>1.425802e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112639284</td>\n",
       "      <td>112639758</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112646035-112646630</th>\n",
       "      <td>35.861396</td>\n",
       "      <td>1.319636</td>\n",
       "      <td>0.237807</td>\n",
       "      <td>5.549202</td>\n",
       "      <td>2.869762e-08</td>\n",
       "      <td>7.375273e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112646035</td>\n",
       "      <td>112646630</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112673434-112673804</th>\n",
       "      <td>32.255360</td>\n",
       "      <td>1.064184</td>\n",
       "      <td>0.264127</td>\n",
       "      <td>4.029057</td>\n",
       "      <td>5.600094e-05</td>\n",
       "      <td>5.195289e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112673434</td>\n",
       "      <td>112673804</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112673140</td>\n",
       "      <td>112700746</td>\n",
       "      <td>MOV10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112687208-112688393</th>\n",
       "      <td>89.741852</td>\n",
       "      <td>1.028371</td>\n",
       "      <td>0.202115</td>\n",
       "      <td>5.088048</td>\n",
       "      <td>3.617687e-07</td>\n",
       "      <td>6.904540e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112687208</td>\n",
       "      <td>112688393</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112673140</td>\n",
       "      <td>112700746</td>\n",
       "      <td>MOV10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112809434-112809781</th>\n",
       "      <td>32.747896</td>\n",
       "      <td>1.133016</td>\n",
       "      <td>0.258801</td>\n",
       "      <td>4.377943</td>\n",
       "      <td>1.198047e-05</td>\n",
       "      <td>1.405913e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112809434</td>\n",
       "      <td>112809781</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &gt;10k</td>\n",
       "      <td>10389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112817608-112819121</th>\n",
       "      <td>93.659445</td>\n",
       "      <td>1.272835</td>\n",
       "      <td>0.187827</td>\n",
       "      <td>6.776637</td>\n",
       "      <td>1.230053e-11</td>\n",
       "      <td>7.631610e-10</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112817608</td>\n",
       "      <td>112819121</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &lt;5k</td>\n",
       "      <td>1049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112819381-112819852</th>\n",
       "      <td>34.662846</td>\n",
       "      <td>2.208081</td>\n",
       "      <td>0.260390</td>\n",
       "      <td>8.479888</td>\n",
       "      <td>2.254099e-17</td>\n",
       "      <td>4.706496e-15</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112819381</td>\n",
       "      <td>112819852</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &lt;1k</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112821143-112821597</th>\n",
       "      <td>24.129784</td>\n",
       "      <td>1.478369</td>\n",
       "      <td>0.307614</td>\n",
       "      <td>4.805924</td>\n",
       "      <td>1.540382e-06</td>\n",
       "      <td>2.414154e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112821143</td>\n",
       "      <td>112821597</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112826414-112826958</th>\n",
       "      <td>37.677690</td>\n",
       "      <td>1.344600</td>\n",
       "      <td>0.260421</td>\n",
       "      <td>5.163175</td>\n",
       "      <td>2.427958e-07</td>\n",
       "      <td>4.859026e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112826414</td>\n",
       "      <td>112826958</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112868969-112869313</th>\n",
       "      <td>24.522705</td>\n",
       "      <td>1.337921</td>\n",
       "      <td>0.280339</td>\n",
       "      <td>4.772518</td>\n",
       "      <td>1.819373e-06</td>\n",
       "      <td>2.790588e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112868969</td>\n",
       "      <td>112869313</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112850027</td>\n",
       "      <td>112877871</td>\n",
       "      <td>RP3-522D1.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-113062314-113062902</th>\n",
       "      <td>39.683594</td>\n",
       "      <td>1.092726</td>\n",
       "      <td>0.270292</td>\n",
       "      <td>4.042760</td>\n",
       "      <td>5.282560e-05</td>\n",
       "      <td>4.959543e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113062314</td>\n",
       "      <td>113062902</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113011686</td>\n",
       "      <td>113073105</td>\n",
       "      <td>RP11-31F15.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-113964338-113965579</th>\n",
       "      <td>45.336861</td>\n",
       "      <td>2.420373</td>\n",
       "      <td>0.281616</td>\n",
       "      <td>8.594597</td>\n",
       "      <td>8.355756e-18</td>\n",
       "      <td>1.846785e-15</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113964338</td>\n",
       "      <td>113965579</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113929191</td>\n",
       "      <td>113977869</td>\n",
       "      <td>HIPK1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-54508444-54510083</th>\n",
       "      <td>118.213688</td>\n",
       "      <td>-0.725014</td>\n",
       "      <td>0.169999</td>\n",
       "      <td>-4.264823</td>\n",
       "      <td>2.000610e-05</td>\n",
       "      <td>2.169075e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>54508444</td>\n",
       "      <td>54510083</td>\n",
       "      <td>chrX</td>\n",
       "      <td>54445453</td>\n",
       "      <td>54496166</td>\n",
       "      <td>FGD1 &gt;10k</td>\n",
       "      <td>-12279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-63404670-63405497</th>\n",
       "      <td>38.139923</td>\n",
       "      <td>1.751187</td>\n",
       "      <td>0.286086</td>\n",
       "      <td>6.121193</td>\n",
       "      <td>9.287715e-10</td>\n",
       "      <td>3.593656e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63404670</td>\n",
       "      <td>63405497</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63343226</td>\n",
       "      <td>63561071</td>\n",
       "      <td>LINC01278</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-6853412-6854008</th>\n",
       "      <td>24.752532</td>\n",
       "      <td>1.409735</td>\n",
       "      <td>0.302286</td>\n",
       "      <td>4.663584</td>\n",
       "      <td>3.107494e-06</td>\n",
       "      <td>4.415098e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>6853412</td>\n",
       "      <td>6854008</td>\n",
       "      <td>chrX</td>\n",
       "      <td>6667864</td>\n",
       "      <td>6721544</td>\n",
       "      <td>RP11-1M18.1 &gt;10k</td>\n",
       "      <td>-131869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-68977885-68978633</th>\n",
       "      <td>56.090988</td>\n",
       "      <td>-1.145320</td>\n",
       "      <td>0.227344</td>\n",
       "      <td>-5.037818</td>\n",
       "      <td>4.708691e-07</td>\n",
       "      <td>8.669080e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68977885</td>\n",
       "      <td>68978633</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68828996</td>\n",
       "      <td>68842147</td>\n",
       "      <td>EFNB1 &gt;10k</td>\n",
       "      <td>-135739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69012696-69013041</th>\n",
       "      <td>16.420395</td>\n",
       "      <td>-1.747487</td>\n",
       "      <td>0.337702</td>\n",
       "      <td>-5.174637</td>\n",
       "      <td>2.283550e-07</td>\n",
       "      <td>4.604601e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69012696</td>\n",
       "      <td>69013041</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>147810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69014582-69015110</th>\n",
       "      <td>26.672872</td>\n",
       "      <td>-1.577452</td>\n",
       "      <td>0.322005</td>\n",
       "      <td>-4.898842</td>\n",
       "      <td>9.640305e-07</td>\n",
       "      <td>1.619550e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69014582</td>\n",
       "      <td>69015110</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>145741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69032397-69033077</th>\n",
       "      <td>56.223843</td>\n",
       "      <td>-0.833998</td>\n",
       "      <td>0.197355</td>\n",
       "      <td>-4.225885</td>\n",
       "      <td>2.380036e-05</td>\n",
       "      <td>2.513684e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69032397</td>\n",
       "      <td>69033077</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>127774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69033552-69034383</th>\n",
       "      <td>63.347329</td>\n",
       "      <td>-1.024829</td>\n",
       "      <td>0.249229</td>\n",
       "      <td>-4.111999</td>\n",
       "      <td>3.922481e-05</td>\n",
       "      <td>3.843091e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69033552</td>\n",
       "      <td>69034383</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>126468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69091323-69091795</th>\n",
       "      <td>31.002898</td>\n",
       "      <td>-1.721602</td>\n",
       "      <td>0.337776</td>\n",
       "      <td>-5.096868</td>\n",
       "      <td>3.453189e-07</td>\n",
       "      <td>6.615667e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69091323</td>\n",
       "      <td>69091795</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>69056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69094668-69095607</th>\n",
       "      <td>44.372363</td>\n",
       "      <td>-1.706771</td>\n",
       "      <td>0.250328</td>\n",
       "      <td>-6.818133</td>\n",
       "      <td>9.223132e-12</td>\n",
       "      <td>5.869254e-10</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69094668</td>\n",
       "      <td>69095607</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>65244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69104639-69107673</th>\n",
       "      <td>280.835047</td>\n",
       "      <td>-1.143109</td>\n",
       "      <td>0.295143</td>\n",
       "      <td>-3.873066</td>\n",
       "      <td>1.074746e-04</td>\n",
       "      <td>9.049555e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69104639</td>\n",
       "      <td>69107673</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>53178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69134212-69134552</th>\n",
       "      <td>23.828074</td>\n",
       "      <td>-1.160585</td>\n",
       "      <td>0.290546</td>\n",
       "      <td>-3.994496</td>\n",
       "      <td>6.483211e-05</td>\n",
       "      <td>5.886730e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69134212</td>\n",
       "      <td>69134552</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>26299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7109532-7111732</th>\n",
       "      <td>177.155024</td>\n",
       "      <td>0.779151</td>\n",
       "      <td>0.151686</td>\n",
       "      <td>5.136592</td>\n",
       "      <td>2.797655e-07</td>\n",
       "      <td>5.494536e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7109532</td>\n",
       "      <td>7111732</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7120129-7120657</th>\n",
       "      <td>45.437747</td>\n",
       "      <td>1.177388</td>\n",
       "      <td>0.241465</td>\n",
       "      <td>4.876024</td>\n",
       "      <td>1.082454e-06</td>\n",
       "      <td>1.788440e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7120129</td>\n",
       "      <td>7120657</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7120812-7121708</th>\n",
       "      <td>65.992306</td>\n",
       "      <td>1.249469</td>\n",
       "      <td>0.208567</td>\n",
       "      <td>5.990724</td>\n",
       "      <td>2.089089e-09</td>\n",
       "      <td>7.354663e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7120812</td>\n",
       "      <td>7121708</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>1.651571</td>\n",
       "      <td>0.236639</td>\n",
       "      <td>6.979285</td>\n",
       "      <td>2.966862e-12</td>\n",
       "      <td>2.084117e-10</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>1.651571</td>\n",
       "      <td>0.236639</td>\n",
       "      <td>6.979285</td>\n",
       "      <td>2.966862e-12</td>\n",
       "      <td>2.084117e-10</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.687231</td>\n",
       "      <td>0.284465</td>\n",
       "      <td>5.931242</td>\n",
       "      <td>3.006519e-09</td>\n",
       "      <td>1.007562e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.687231</td>\n",
       "      <td>0.284465</td>\n",
       "      <td>5.931242</td>\n",
       "      <td>3.006519e-09</td>\n",
       "      <td>1.007562e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72571755-72573441</th>\n",
       "      <td>296.500091</td>\n",
       "      <td>0.514551</td>\n",
       "      <td>0.130190</td>\n",
       "      <td>3.952306</td>\n",
       "      <td>7.740177e-05</td>\n",
       "      <td>6.854339e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72571755</td>\n",
       "      <td>72573441</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72329515</td>\n",
       "      <td>72573103</td>\n",
       "      <td>HDAC8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>0.502547</td>\n",
       "      <td>0.102649</td>\n",
       "      <td>4.895780</td>\n",
       "      <td>9.791652e-07</td>\n",
       "      <td>1.640717e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944323</td>\n",
       "      <td>74070408</td>\n",
       "      <td>JPX</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>0.502547</td>\n",
       "      <td>0.102649</td>\n",
       "      <td>4.895780</td>\n",
       "      <td>9.791652e-07</td>\n",
       "      <td>1.640717e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944331</td>\n",
       "      <td>73944466</td>\n",
       "      <td>JPX_1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-73943559-73945959</th>\n",
       "      <td>647.965948</td>\n",
       "      <td>0.502547</td>\n",
       "      <td>0.102649</td>\n",
       "      <td>4.895780</td>\n",
       "      <td>9.791652e-07</td>\n",
       "      <td>1.640717e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73943559</td>\n",
       "      <td>73945959</td>\n",
       "      <td>chrX</td>\n",
       "      <td>73944594</td>\n",
       "      <td>73944663</td>\n",
       "      <td>JPX_2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79324628-79326101</th>\n",
       "      <td>116.434118</td>\n",
       "      <td>0.782904</td>\n",
       "      <td>0.171415</td>\n",
       "      <td>4.567301</td>\n",
       "      <td>4.940444e-06</td>\n",
       "      <td>6.607042e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79324628</td>\n",
       "      <td>79326101</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79323445</td>\n",
       "      <td>79325217</td>\n",
       "      <td>KIF4CP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79452205-79452837</th>\n",
       "      <td>33.656739</td>\n",
       "      <td>-1.199013</td>\n",
       "      <td>0.254959</td>\n",
       "      <td>-4.702773</td>\n",
       "      <td>2.566517e-06</td>\n",
       "      <td>3.746338e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79452205</td>\n",
       "      <td>79452837</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79453042-79453574</th>\n",
       "      <td>31.958500</td>\n",
       "      <td>-1.574661</td>\n",
       "      <td>0.297962</td>\n",
       "      <td>-5.284775</td>\n",
       "      <td>1.258592e-07</td>\n",
       "      <td>2.714210e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79453042</td>\n",
       "      <td>79453574</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96978842-96980758</th>\n",
       "      <td>130.731951</td>\n",
       "      <td>0.945772</td>\n",
       "      <td>0.153926</td>\n",
       "      <td>6.144325</td>\n",
       "      <td>8.030432e-10</td>\n",
       "      <td>3.128554e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96978842</td>\n",
       "      <td>96980758</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96981481-96982270</th>\n",
       "      <td>74.033348</td>\n",
       "      <td>1.650613</td>\n",
       "      <td>0.243125</td>\n",
       "      <td>6.789147</td>\n",
       "      <td>1.127983e-11</td>\n",
       "      <td>7.059088e-10</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96981481</td>\n",
       "      <td>96982270</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96982600-96983282</th>\n",
       "      <td>66.057267</td>\n",
       "      <td>1.515407</td>\n",
       "      <td>0.256183</td>\n",
       "      <td>5.915341</td>\n",
       "      <td>3.311890e-09</td>\n",
       "      <td>1.096918e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96982600</td>\n",
       "      <td>96983282</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96983571-96985630</th>\n",
       "      <td>111.085318</td>\n",
       "      <td>1.764388</td>\n",
       "      <td>0.254485</td>\n",
       "      <td>6.933166</td>\n",
       "      <td>4.115240e-12</td>\n",
       "      <td>2.799661e-10</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96983571</td>\n",
       "      <td>96985630</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6020 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr1-104798816-104799142   17.590827       -1.364763  0.354723 -3.847406   \n",
       "chr1-105137052-105139071  213.505063       -0.801839  0.165510 -4.844641   \n",
       "chr1-105193668-105194399   39.030167        1.275273  0.285095  4.473143   \n",
       "chr1-105350097-105351227   59.321446        1.473581  0.323227  4.558962   \n",
       "chr1-105351987-105352940   39.428125        1.514845  0.323449  4.683415   \n",
       "chr1-105631893-105633737  152.316048       -1.208046  0.233008 -5.184570   \n",
       "chr1-106208879-106210414   92.228929        0.928070  0.224699  4.130279   \n",
       "chr1-109067133-109067480   19.386075        1.535402  0.296677  5.175323   \n",
       "chr1-109730222-109733088  216.295926       -1.175504  0.159564 -7.366959   \n",
       "chr1-109730222-109733088  216.295926       -1.175504  0.159564 -7.366959   \n",
       "chr1-109917885-109918906   72.108120        0.772595  0.184708  4.182784   \n",
       "chr1-109946416-109950297  550.464851        0.631787  0.159882  3.951574   \n",
       "chr1-11026225-11026547     20.169421        1.273480  0.278707  4.569250   \n",
       "chr1-11026225-11026547     20.169421        1.273480  0.278707  4.569250   \n",
       "chr1-11026225-11026547     20.169421        1.273480  0.278707  4.569250   \n",
       "chr1-111447160-111447719   35.740531        1.263911  0.266215  4.747716   \n",
       "chr1-112634672-112638850  437.429351        1.545281  0.198047  7.802599   \n",
       "chr1-112634672-112638850  437.429351        1.545281  0.198047  7.802599   \n",
       "chr1-112639284-112639758   22.687426        1.884158  0.299788  6.284978   \n",
       "chr1-112646035-112646630   35.861396        1.319636  0.237807  5.549202   \n",
       "chr1-112673434-112673804   32.255360        1.064184  0.264127  4.029057   \n",
       "chr1-112687208-112688393   89.741852        1.028371  0.202115  5.088048   \n",
       "chr1-112809434-112809781   32.747896        1.133016  0.258801  4.377943   \n",
       "chr1-112817608-112819121   93.659445        1.272835  0.187827  6.776637   \n",
       "chr1-112819381-112819852   34.662846        2.208081  0.260390  8.479888   \n",
       "chr1-112821143-112821597   24.129784        1.478369  0.307614  4.805924   \n",
       "chr1-112826414-112826958   37.677690        1.344600  0.260421  5.163175   \n",
       "chr1-112868969-112869313   24.522705        1.337921  0.280339  4.772518   \n",
       "chr1-113062314-113062902   39.683594        1.092726  0.270292  4.042760   \n",
       "chr1-113964338-113965579   45.336861        2.420373  0.281616  8.594597   \n",
       "...                              ...             ...       ...       ...   \n",
       "chrX-54508444-54510083    118.213688       -0.725014  0.169999 -4.264823   \n",
       "chrX-63404670-63405497     38.139923        1.751187  0.286086  6.121193   \n",
       "chrX-6853412-6854008       24.752532        1.409735  0.302286  4.663584   \n",
       "chrX-68977885-68978633     56.090988       -1.145320  0.227344 -5.037818   \n",
       "chrX-69012696-69013041     16.420395       -1.747487  0.337702 -5.174637   \n",
       "chrX-69014582-69015110     26.672872       -1.577452  0.322005 -4.898842   \n",
       "chrX-69032397-69033077     56.223843       -0.833998  0.197355 -4.225885   \n",
       "chrX-69033552-69034383     63.347329       -1.024829  0.249229 -4.111999   \n",
       "chrX-69091323-69091795     31.002898       -1.721602  0.337776 -5.096868   \n",
       "chrX-69094668-69095607     44.372363       -1.706771  0.250328 -6.818133   \n",
       "chrX-69104639-69107673    280.835047       -1.143109  0.295143 -3.873066   \n",
       "chrX-69134212-69134552     23.828074       -1.160585  0.290546 -3.994496   \n",
       "chrX-7109532-7111732      177.155024        0.779151  0.151686  5.136592   \n",
       "chrX-7120129-7120657       45.437747        1.177388  0.241465  4.876024   \n",
       "chrX-7120812-7121708       65.992306        1.249469  0.208567  5.990724   \n",
       "chrX-72271456-72272562     68.468871        1.651571  0.236639  6.979285   \n",
       "chrX-72271456-72272562     68.468871        1.651571  0.236639  6.979285   \n",
       "chrX-72272823-72273169     21.280833        1.687231  0.284465  5.931242   \n",
       "chrX-72272823-72273169     21.280833        1.687231  0.284465  5.931242   \n",
       "chrX-72571755-72573441    296.500091        0.514551  0.130190  3.952306   \n",
       "chrX-73943559-73945959    647.965948        0.502547  0.102649  4.895780   \n",
       "chrX-73943559-73945959    647.965948        0.502547  0.102649  4.895780   \n",
       "chrX-73943559-73945959    647.965948        0.502547  0.102649  4.895780   \n",
       "chrX-79324628-79326101    116.434118        0.782904  0.171415  4.567301   \n",
       "chrX-79452205-79452837     33.656739       -1.199013  0.254959 -4.702773   \n",
       "chrX-79453042-79453574     31.958500       -1.574661  0.297962 -5.284775   \n",
       "chrX-96978842-96980758    130.731951        0.945772  0.153926  6.144325   \n",
       "chrX-96981481-96982270     74.033348        1.650613  0.243125  6.789147   \n",
       "chrX-96982600-96983282     66.057267        1.515407  0.256183  5.915341   \n",
       "chrX-96983571-96985630    111.085318        1.764388  0.254485  6.933166   \n",
       "\n",
       "                                pvalue          padj chrom_peak  start_peak  \\\n",
       "chr1-104798816-104799142  1.193748e-04  9.906144e-04       chr1   104798816   \n",
       "chr1-105137052-105139071  1.268406e-06  2.039397e-05       chr1   105137052   \n",
       "chr1-105193668-105194399  7.707805e-06  9.674042e-05       chr1   105193668   \n",
       "chr1-105350097-105351227  5.140705e-06  6.846567e-05       chr1   105350097   \n",
       "chr1-105351987-105352940  2.821349e-06  4.062044e-05       chr1   105351987   \n",
       "chr1-105631893-105633737  2.165143e-07  4.405050e-06       chr1   105631893   \n",
       "chr1-106208879-106210414  3.623231e-05  3.591445e-04       chr1   106208879   \n",
       "chr1-109067133-109067480  2.275172e-07  4.589748e-06       chr1   109067133   \n",
       "chr1-109730222-109733088  1.745635e-13  1.690021e-11       chr1   109730222   \n",
       "chr1-109730222-109733088  1.745635e-13  1.690021e-11       chr1   109730222   \n",
       "chr1-109917885-109918906  2.879605e-05  2.959221e-04       chr1   109917885   \n",
       "chr1-109946416-109950297  7.763893e-05  6.871932e-04       chr1   109946416   \n",
       "chr1-11026225-11026547    4.894737e-06  6.555591e-05       chr1    11026225   \n",
       "chr1-11026225-11026547    4.894737e-06  6.555591e-05       chr1    11026225   \n",
       "chr1-11026225-11026547    4.894737e-06  6.555591e-05       chr1    11026225   \n",
       "chr1-111447160-111447719  2.057265e-06  3.100886e-05       chr1   111447160   \n",
       "chr1-112634672-112638850  6.064497e-15  8.276395e-13       chr1   112634672   \n",
       "chr1-112634672-112638850  6.064497e-15  8.276395e-13       chr1   112634672   \n",
       "chr1-112639284-112639758  3.279007e-10  1.425802e-08       chr1   112639284   \n",
       "chr1-112646035-112646630  2.869762e-08  7.375273e-07       chr1   112646035   \n",
       "chr1-112673434-112673804  5.600094e-05  5.195289e-04       chr1   112673434   \n",
       "chr1-112687208-112688393  3.617687e-07  6.904540e-06       chr1   112687208   \n",
       "chr1-112809434-112809781  1.198047e-05  1.405913e-04       chr1   112809434   \n",
       "chr1-112817608-112819121  1.230053e-11  7.631610e-10       chr1   112817608   \n",
       "chr1-112819381-112819852  2.254099e-17  4.706496e-15       chr1   112819381   \n",
       "chr1-112821143-112821597  1.540382e-06  2.414154e-05       chr1   112821143   \n",
       "chr1-112826414-112826958  2.427958e-07  4.859026e-06       chr1   112826414   \n",
       "chr1-112868969-112869313  1.819373e-06  2.790588e-05       chr1   112868969   \n",
       "chr1-113062314-113062902  5.282560e-05  4.959543e-04       chr1   113062314   \n",
       "chr1-113964338-113965579  8.355756e-18  1.846785e-15       chr1   113964338   \n",
       "...                                ...           ...        ...         ...   \n",
       "chrX-54508444-54510083    2.000610e-05  2.169075e-04       chrX    54508444   \n",
       "chrX-63404670-63405497    9.287715e-10  3.593656e-08       chrX    63404670   \n",
       "chrX-6853412-6854008      3.107494e-06  4.415098e-05       chrX     6853412   \n",
       "chrX-68977885-68978633    4.708691e-07  8.669080e-06       chrX    68977885   \n",
       "chrX-69012696-69013041    2.283550e-07  4.604601e-06       chrX    69012696   \n",
       "chrX-69014582-69015110    9.640305e-07  1.619550e-05       chrX    69014582   \n",
       "chrX-69032397-69033077    2.380036e-05  2.513684e-04       chrX    69032397   \n",
       "chrX-69033552-69034383    3.922481e-05  3.843091e-04       chrX    69033552   \n",
       "chrX-69091323-69091795    3.453189e-07  6.615667e-06       chrX    69091323   \n",
       "chrX-69094668-69095607    9.223132e-12  5.869254e-10       chrX    69094668   \n",
       "chrX-69104639-69107673    1.074746e-04  9.049555e-04       chrX    69104639   \n",
       "chrX-69134212-69134552    6.483211e-05  5.886730e-04       chrX    69134212   \n",
       "chrX-7109532-7111732      2.797655e-07  5.494536e-06       chrX     7109532   \n",
       "chrX-7120129-7120657      1.082454e-06  1.788440e-05       chrX     7120129   \n",
       "chrX-7120812-7121708      2.089089e-09  7.354663e-08       chrX     7120812   \n",
       "chrX-72271456-72272562    2.966862e-12  2.084117e-10       chrX    72271456   \n",
       "chrX-72271456-72272562    2.966862e-12  2.084117e-10       chrX    72271456   \n",
       "chrX-72272823-72273169    3.006519e-09  1.007562e-07       chrX    72272823   \n",
       "chrX-72272823-72273169    3.006519e-09  1.007562e-07       chrX    72272823   \n",
       "chrX-72571755-72573441    7.740177e-05  6.854339e-04       chrX    72571755   \n",
       "chrX-73943559-73945959    9.791652e-07  1.640717e-05       chrX    73943559   \n",
       "chrX-73943559-73945959    9.791652e-07  1.640717e-05       chrX    73943559   \n",
       "chrX-73943559-73945959    9.791652e-07  1.640717e-05       chrX    73943559   \n",
       "chrX-79324628-79326101    4.940444e-06  6.607042e-05       chrX    79324628   \n",
       "chrX-79452205-79452837    2.566517e-06  3.746338e-05       chrX    79452205   \n",
       "chrX-79453042-79453574    1.258592e-07  2.714210e-06       chrX    79453042   \n",
       "chrX-96978842-96980758    8.030432e-10  3.128554e-08       chrX    96978842   \n",
       "chrX-96981481-96982270    1.127983e-11  7.059088e-10       chrX    96981481   \n",
       "chrX-96982600-96983282    3.311890e-09  1.096918e-07       chrX    96982600   \n",
       "chrX-96983571-96985630    4.115240e-12  2.799661e-10       chrX    96983571   \n",
       "\n",
       "                           end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr1-104798816-104799142  104799142       chr1   105433993  105434821   \n",
       "chr1-105137052-105139071  105139071       chr1   105433993  105434821   \n",
       "chr1-105193668-105194399  105194399       chr1   105433993  105434821   \n",
       "chr1-105350097-105351227  105351227       chr1   105433993  105434821   \n",
       "chr1-105351987-105352940  105352940       chr1   105433993  105434821   \n",
       "chr1-105631893-105633737  105633737       chr1   105587574  105618958   \n",
       "chr1-106208879-106210414  106210414       chr1   106073246  106084499   \n",
       "chr1-109067133-109067480  109067480       chr1   109062485  109076002   \n",
       "chr1-109730222-109733088  109733088       chr1   109712254  109775428   \n",
       "chr1-109730222-109733088  109733088       chr1   109725819  109775252   \n",
       "chr1-109917885-109918906  109918906       chr1   109910241  109930992   \n",
       "chr1-109946416-109950297  109950297       chr1   109910241  109930992   \n",
       "chr1-11026225-11026547     11026547       chr1    11012343   11026420   \n",
       "chr1-11026225-11026547     11026547       chr1    11012661   11030528   \n",
       "chr1-11026225-11026547     11026547       chr1    11026522   11047233   \n",
       "chr1-111447160-111447719  111447719       chr1   111439889  111449376   \n",
       "chr1-112634672-112638850  112638850       chr1   112619172  112671619   \n",
       "chr1-112634672-112638850  112638850       chr1   112634718  112634784   \n",
       "chr1-112639284-112639758  112639758       chr1   112619172  112671619   \n",
       "chr1-112646035-112646630  112646630       chr1   112619172  112671619   \n",
       "chr1-112673434-112673804  112673804       chr1   112673140  112700746   \n",
       "chr1-112687208-112688393  112688393       chr1   112673140  112700746   \n",
       "chr1-112809434-112809781  112809781       chr1   112820169  112850643   \n",
       "chr1-112817608-112819121  112819121       chr1   112820169  112850643   \n",
       "chr1-112819381-112819852  112819852       chr1   112820169  112850643   \n",
       "chr1-112821143-112821597  112821597       chr1   112820169  112850643   \n",
       "chr1-112826414-112826958  112826958       chr1   112820169  112850643   \n",
       "chr1-112868969-112869313  112869313       chr1   112850027  112877871   \n",
       "chr1-113062314-113062902  113062902       chr1   113011686  113073105   \n",
       "chr1-113964338-113965579  113965579       chr1   113929191  113977869   \n",
       "...                             ...        ...         ...        ...   \n",
       "chrX-54508444-54510083     54510083       chrX    54445453   54496166   \n",
       "chrX-63404670-63405497     63405497       chrX    63343226   63561071   \n",
       "chrX-6853412-6854008        6854008       chrX     6667864    6721544   \n",
       "chrX-68977885-68978633     68978633       chrX    68828996   68842147   \n",
       "chrX-69012696-69013041     69013041       chrX    69160850   69165793   \n",
       "chrX-69014582-69015110     69015110       chrX    69160850   69165793   \n",
       "chrX-69032397-69033077     69033077       chrX    69160850   69165793   \n",
       "chrX-69033552-69034383     69034383       chrX    69160850   69165793   \n",
       "chrX-69091323-69091795     69091795       chrX    69160850   69165793   \n",
       "chrX-69094668-69095607     69095607       chrX    69160850   69165793   \n",
       "chrX-69104639-69107673     69107673       chrX    69160850   69165793   \n",
       "chrX-69134212-69134552     69134552       chrX    69160850   69165793   \n",
       "chrX-7109532-7111732        7111732       chrX     7048919    7148190   \n",
       "chrX-7120129-7120657        7120657       chrX     7048919    7148190   \n",
       "chrX-7120812-7121708        7121708       chrX     7048919    7148190   \n",
       "chrX-72271456-72272562     72272562       chrX    72181352   72302926   \n",
       "chrX-72271456-72272562     72272562       chrX    72255678   72277300   \n",
       "chrX-72272823-72273169     72273169       chrX    72181352   72302926   \n",
       "chrX-72272823-72273169     72273169       chrX    72255678   72277300   \n",
       "chrX-72571755-72573441     72573441       chrX    72329515   72573103   \n",
       "chrX-73943559-73945959     73945959       chrX    73944323   74070408   \n",
       "chrX-73943559-73945959     73945959       chrX    73944331   73944466   \n",
       "chrX-73943559-73945959     73945959       chrX    73944594   73944663   \n",
       "chrX-79324628-79326101     79326101       chrX    79323445   79325217   \n",
       "chrX-79452205-79452837     79452837       chrX    79369363   79370165   \n",
       "chrX-79453042-79453574     79453574       chrX    79369363   79370165   \n",
       "chrX-96978842-96980758     96980758       chrX    96684662   97604997   \n",
       "chrX-96981481-96982270     96982270       chrX    96684662   97604997   \n",
       "chrX-96982600-96983282     96983282       chrX    96684662   97604997   \n",
       "chrX-96983571-96985630     96985630       chrX    96684662   97604997   \n",
       "\n",
       "                                  gene_name  distance  \n",
       "chr1-104798816-104799142  RP11-414B7.1 >10k    634852  \n",
       "chr1-105137052-105139071  RP11-414B7.1 >10k    294923  \n",
       "chr1-105193668-105194399  RP11-414B7.1 >10k    239595  \n",
       "chr1-105350097-105351227  RP11-414B7.1 >10k     82767  \n",
       "chr1-105351987-105352940  RP11-414B7.1 >10k     81054  \n",
       "chr1-105631893-105633737  RP11-251P6.1 >10k    -12936  \n",
       "chr1-106208879-106210414  RP5-947P14.1 >10k   -124381  \n",
       "chr1-109067133-109067480             TAF13          0  \n",
       "chr1-109730222-109733088             GSTM5          0  \n",
       "chr1-109730222-109733088       RP4-735C1.4          0  \n",
       "chr1-109917885-109918906              CSF1          0  \n",
       "chr1-109946416-109950297          CSF1 >10k    -15425  \n",
       "chr1-11026225-11026547              TARDBP          0  \n",
       "chr1-11026225-11026547              TARDBP          0  \n",
       "chr1-11026225-11026547               MASP2          0  \n",
       "chr1-111447160-111447719             WDR77          0  \n",
       "chr1-112634672-112638850            CAPZA1          0  \n",
       "chr1-112634672-112638850          RNU7-70P          0  \n",
       "chr1-112639284-112639758            CAPZA1          0  \n",
       "chr1-112646035-112646630            CAPZA1          0  \n",
       "chr1-112673434-112673804             MOV10          0  \n",
       "chr1-112687208-112688393             MOV10          0  \n",
       "chr1-112809434-112809781     LINC01356 >10k     10389  \n",
       "chr1-112817608-112819121      LINC01356 <5k      1049  \n",
       "chr1-112819381-112819852      LINC01356 <1k       318  \n",
       "chr1-112821143-112821597         LINC01356          0  \n",
       "chr1-112826414-112826958         LINC01356          0  \n",
       "chr1-112868969-112869313       RP3-522D1.1          0  \n",
       "chr1-113062314-113062902      RP11-31F15.2          0  \n",
       "chr1-113964338-113965579             HIPK1          0  \n",
       "...                                     ...       ...  \n",
       "chrX-54508444-54510083            FGD1 >10k    -12279  \n",
       "chrX-63404670-63405497           LINC01278          0  \n",
       "chrX-6853412-6854008       RP11-1M18.1 >10k   -131869  \n",
       "chrX-68977885-68978633           EFNB1 >10k   -135739  \n",
       "chrX-69012696-69013041            PJA1 >10k    147810  \n",
       "chrX-69014582-69015110            PJA1 >10k    145741  \n",
       "chrX-69032397-69033077            PJA1 >10k    127774  \n",
       "chrX-69033552-69034383            PJA1 >10k    126468  \n",
       "chrX-69091323-69091795            PJA1 >10k     69056  \n",
       "chrX-69094668-69095607            PJA1 >10k     65244  \n",
       "chrX-69104639-69107673            PJA1 >10k     53178  \n",
       "chrX-69134212-69134552            PJA1 >10k     26299  \n",
       "chrX-7109532-7111732                 HDHD1          0  \n",
       "chrX-7120129-7120657                 HDHD1          0  \n",
       "chrX-7120812-7121708                 HDHD1          0  \n",
       "chrX-72271456-72272562                PIN4          0  \n",
       "chrX-72271456-72272562               RPS4X          0  \n",
       "chrX-72272823-72273169                PIN4          0  \n",
       "chrX-72272823-72273169               RPS4X          0  \n",
       "chrX-72571755-72573441               HDAC8          0  \n",
       "chrX-73943559-73945959                 JPX          0  \n",
       "chrX-73943559-73945959               JPX_1          0  \n",
       "chrX-73943559-73945959               JPX_2          0  \n",
       "chrX-79324628-79326101              KIF4CP          0  \n",
       "chrX-79452205-79452837    RP1-164L12.1 >10k    -82041  \n",
       "chrX-79453042-79453574    RP1-164L12.1 >10k    -82878  \n",
       "chrX-96978842-96980758              DIAPH2          0  \n",
       "chrX-96981481-96982270              DIAPH2          0  \n",
       "chrX-96982600-96983282              DIAPH2          0  \n",
       "chrX-96983571-96985630              DIAPH2          0  \n",
       "\n",
       "[6020 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== THZ531_vs_Gefit ======\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "      <th>chrom_peak</th>\n",
       "      <th>start_peak</th>\n",
       "      <th>end_peak</th>\n",
       "      <th>chrom_gene</th>\n",
       "      <th>start_gene</th>\n",
       "      <th>end_gene</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>chr1-105350097-105351227</th>\n",
       "      <td>59.321446</td>\n",
       "      <td>1.423054</td>\n",
       "      <td>0.323322</td>\n",
       "      <td>4.401348</td>\n",
       "      <td>1.075802e-05</td>\n",
       "      <td>1.889283e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105350097</td>\n",
       "      <td>105351227</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>82767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105351987-105352940</th>\n",
       "      <td>39.428125</td>\n",
       "      <td>1.539467</td>\n",
       "      <td>0.323057</td>\n",
       "      <td>4.765307</td>\n",
       "      <td>1.885664e-06</td>\n",
       "      <td>4.347967e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105351987</td>\n",
       "      <td>105352940</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105433993</td>\n",
       "      <td>105434821</td>\n",
       "      <td>RP11-414B7.1 &gt;10k</td>\n",
       "      <td>81054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-105631893-105633737</th>\n",
       "      <td>152.316048</td>\n",
       "      <td>-1.021202</td>\n",
       "      <td>0.231292</td>\n",
       "      <td>-4.415204</td>\n",
       "      <td>1.009148e-05</td>\n",
       "      <td>1.794486e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105631893</td>\n",
       "      <td>105633737</td>\n",
       "      <td>chr1</td>\n",
       "      <td>105587574</td>\n",
       "      <td>105618958</td>\n",
       "      <td>RP11-251P6.1 &gt;10k</td>\n",
       "      <td>-12936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-0.956639</td>\n",
       "      <td>0.157372</td>\n",
       "      <td>-6.078850</td>\n",
       "      <td>1.210473e-09</td>\n",
       "      <td>7.283576e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109712254</td>\n",
       "      <td>109775428</td>\n",
       "      <td>GSTM5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109730222-109733088</th>\n",
       "      <td>216.295926</td>\n",
       "      <td>-0.956639</td>\n",
       "      <td>0.157372</td>\n",
       "      <td>-6.078850</td>\n",
       "      <td>1.210473e-09</td>\n",
       "      <td>7.283576e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109730222</td>\n",
       "      <td>109733088</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109725819</td>\n",
       "      <td>109775252</td>\n",
       "      <td>RP4-735C1.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-109917885-109918906</th>\n",
       "      <td>72.108120</td>\n",
       "      <td>0.750102</td>\n",
       "      <td>0.184562</td>\n",
       "      <td>4.064223</td>\n",
       "      <td>4.819273e-05</td>\n",
       "      <td>6.605475e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109917885</td>\n",
       "      <td>109918906</td>\n",
       "      <td>chr1</td>\n",
       "      <td>109910241</td>\n",
       "      <td>109930992</td>\n",
       "      <td>CSF1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-111447160-111447719</th>\n",
       "      <td>35.740531</td>\n",
       "      <td>1.099905</td>\n",
       "      <td>0.267905</td>\n",
       "      <td>4.105586</td>\n",
       "      <td>4.032916e-05</td>\n",
       "      <td>5.688421e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111447160</td>\n",
       "      <td>111447719</td>\n",
       "      <td>chr1</td>\n",
       "      <td>111439889</td>\n",
       "      <td>111449376</td>\n",
       "      <td>WDR77</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.220730</td>\n",
       "      <td>0.198490</td>\n",
       "      <td>6.150087</td>\n",
       "      <td>7.744039e-10</td>\n",
       "      <td>4.839651e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112634672-112638850</th>\n",
       "      <td>437.429351</td>\n",
       "      <td>1.220730</td>\n",
       "      <td>0.198490</td>\n",
       "      <td>6.150087</td>\n",
       "      <td>7.744039e-10</td>\n",
       "      <td>4.839651e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634672</td>\n",
       "      <td>112638850</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112634718</td>\n",
       "      <td>112634784</td>\n",
       "      <td>RNU7-70P</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112639284-112639758</th>\n",
       "      <td>22.687426</td>\n",
       "      <td>1.556334</td>\n",
       "      <td>0.304440</td>\n",
       "      <td>5.112117</td>\n",
       "      <td>3.185690e-07</td>\n",
       "      <td>9.435337e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112639284</td>\n",
       "      <td>112639758</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112646035-112646630</th>\n",
       "      <td>35.861396</td>\n",
       "      <td>0.980074</td>\n",
       "      <td>0.242292</td>\n",
       "      <td>4.045018</td>\n",
       "      <td>5.231903e-05</td>\n",
       "      <td>7.059329e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112646035</td>\n",
       "      <td>112646630</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112619172</td>\n",
       "      <td>112671619</td>\n",
       "      <td>CAPZA1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112817608-112819121</th>\n",
       "      <td>93.659445</td>\n",
       "      <td>1.349385</td>\n",
       "      <td>0.187001</td>\n",
       "      <td>7.215936</td>\n",
       "      <td>5.356442e-13</td>\n",
       "      <td>7.513779e-11</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112817608</td>\n",
       "      <td>112819121</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &lt;5k</td>\n",
       "      <td>1049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112819381-112819852</th>\n",
       "      <td>34.662846</td>\n",
       "      <td>2.327318</td>\n",
       "      <td>0.258640</td>\n",
       "      <td>8.998276</td>\n",
       "      <td>2.292902e-19</td>\n",
       "      <td>1.117087e-16</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112819381</td>\n",
       "      <td>112819852</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356 &lt;1k</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112821143-112821597</th>\n",
       "      <td>24.129784</td>\n",
       "      <td>1.856360</td>\n",
       "      <td>0.301500</td>\n",
       "      <td>6.157089</td>\n",
       "      <td>7.409413e-10</td>\n",
       "      <td>4.669167e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112821143</td>\n",
       "      <td>112821597</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112826414-112826958</th>\n",
       "      <td>37.677690</td>\n",
       "      <td>1.324517</td>\n",
       "      <td>0.260253</td>\n",
       "      <td>5.089352</td>\n",
       "      <td>3.592887e-07</td>\n",
       "      <td>1.044866e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112826414</td>\n",
       "      <td>112826958</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112820169</td>\n",
       "      <td>112850643</td>\n",
       "      <td>LINC01356</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112868969-112869313</th>\n",
       "      <td>24.522705</td>\n",
       "      <td>1.188065</td>\n",
       "      <td>0.282149</td>\n",
       "      <td>4.210769</td>\n",
       "      <td>2.545024e-05</td>\n",
       "      <td>3.900964e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112868969</td>\n",
       "      <td>112869313</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112850027</td>\n",
       "      <td>112877871</td>\n",
       "      <td>RP3-522D1.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-112874252-112874583</th>\n",
       "      <td>23.488870</td>\n",
       "      <td>1.101120</td>\n",
       "      <td>0.272600</td>\n",
       "      <td>4.039326</td>\n",
       "      <td>5.360507e-05</td>\n",
       "      <td>7.215663e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112874252</td>\n",
       "      <td>112874583</td>\n",
       "      <td>chr1</td>\n",
       "      <td>112850027</td>\n",
       "      <td>112877871</td>\n",
       "      <td>RP3-522D1.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-113964338-113965579</th>\n",
       "      <td>45.336861</td>\n",
       "      <td>2.432471</td>\n",
       "      <td>0.281292</td>\n",
       "      <td>8.647503</td>\n",
       "      <td>5.263847e-18</td>\n",
       "      <td>2.073910e-15</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113964338</td>\n",
       "      <td>113965579</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113929191</td>\n",
       "      <td>113977869</td>\n",
       "      <td>HIPK1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-113966382-113966808</th>\n",
       "      <td>20.769794</td>\n",
       "      <td>2.853030</td>\n",
       "      <td>0.347966</td>\n",
       "      <td>8.199171</td>\n",
       "      <td>2.420496e-16</td>\n",
       "      <td>7.460561e-14</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113966382</td>\n",
       "      <td>113966808</td>\n",
       "      <td>chr1</td>\n",
       "      <td>113929191</td>\n",
       "      <td>113977869</td>\n",
       "      <td>HIPK1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-114715458-114717611</th>\n",
       "      <td>600.223572</td>\n",
       "      <td>0.565805</td>\n",
       "      <td>0.099444</td>\n",
       "      <td>5.689659</td>\n",
       "      <td>1.272932e-08</td>\n",
       "      <td>5.847984e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114715458</td>\n",
       "      <td>114717611</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114704468</td>\n",
       "      <td>114716894</td>\n",
       "      <td>NRAS</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-114715458-114717611</th>\n",
       "      <td>600.223572</td>\n",
       "      <td>0.565805</td>\n",
       "      <td>0.099444</td>\n",
       "      <td>5.689659</td>\n",
       "      <td>1.272932e-08</td>\n",
       "      <td>5.847984e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114715458</td>\n",
       "      <td>114717611</td>\n",
       "      <td>chr1</td>\n",
       "      <td>114716912</td>\n",
       "      <td>114758676</td>\n",
       "      <td>CSDE1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-115771590-115771935</th>\n",
       "      <td>25.419438</td>\n",
       "      <td>1.189427</td>\n",
       "      <td>0.290249</td>\n",
       "      <td>4.097956</td>\n",
       "      <td>4.168145e-05</td>\n",
       "      <td>5.844179e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>115771590</td>\n",
       "      <td>115771935</td>\n",
       "      <td>chr1</td>\n",
       "      <td>115700006</td>\n",
       "      <td>115768781</td>\n",
       "      <td>CASQ2 &lt;5k</td>\n",
       "      <td>-2810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-116380348-116380929</th>\n",
       "      <td>34.796979</td>\n",
       "      <td>1.110965</td>\n",
       "      <td>0.256290</td>\n",
       "      <td>4.334800</td>\n",
       "      <td>1.458925e-05</td>\n",
       "      <td>2.435983e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116380348</td>\n",
       "      <td>116380929</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116372667</td>\n",
       "      <td>116410261</td>\n",
       "      <td>ATP1A1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-116380982-116382455</th>\n",
       "      <td>91.490756</td>\n",
       "      <td>0.952719</td>\n",
       "      <td>0.226721</td>\n",
       "      <td>4.202162</td>\n",
       "      <td>2.643783e-05</td>\n",
       "      <td>4.014315e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116380982</td>\n",
       "      <td>116382455</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116372667</td>\n",
       "      <td>116410261</td>\n",
       "      <td>ATP1A1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-116453390-116454983</th>\n",
       "      <td>156.122588</td>\n",
       "      <td>-0.647848</td>\n",
       "      <td>0.157051</td>\n",
       "      <td>-4.125090</td>\n",
       "      <td>3.705896e-05</td>\n",
       "      <td>5.310261e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116453390</td>\n",
       "      <td>116454983</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116423723</td>\n",
       "      <td>116478842</td>\n",
       "      <td>RP4-655J12.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-116481354-116485409</th>\n",
       "      <td>473.587821</td>\n",
       "      <td>-0.613297</td>\n",
       "      <td>0.120547</td>\n",
       "      <td>-5.087602</td>\n",
       "      <td>3.626194e-07</td>\n",
       "      <td>1.053876e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116481354</td>\n",
       "      <td>116485409</td>\n",
       "      <td>chr1</td>\n",
       "      <td>116423723</td>\n",
       "      <td>116478842</td>\n",
       "      <td>RP4-655J12.4 &lt;5k</td>\n",
       "      <td>-2513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-117237152-117237803</th>\n",
       "      <td>41.450766</td>\n",
       "      <td>-1.262662</td>\n",
       "      <td>0.255988</td>\n",
       "      <td>-4.932510</td>\n",
       "      <td>8.117944e-07</td>\n",
       "      <td>2.128564e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>117237152</td>\n",
       "      <td>117237803</td>\n",
       "      <td>chr1</td>\n",
       "      <td>117243211</td>\n",
       "      <td>117243508</td>\n",
       "      <td>Metazoa_SRP &lt;10k</td>\n",
       "      <td>5409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12475051-12482571</th>\n",
       "      <td>1823.526615</td>\n",
       "      <td>-0.631226</td>\n",
       "      <td>0.109408</td>\n",
       "      <td>-5.769481</td>\n",
       "      <td>7.951612e-09</td>\n",
       "      <td>3.820266e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12475051</td>\n",
       "      <td>12482571</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12230066</td>\n",
       "      <td>12512047</td>\n",
       "      <td>VPS13D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12475051-12482571</th>\n",
       "      <td>1823.526615</td>\n",
       "      <td>-0.631226</td>\n",
       "      <td>0.109408</td>\n",
       "      <td>-5.769481</td>\n",
       "      <td>7.951612e-09</td>\n",
       "      <td>3.820266e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12475051</td>\n",
       "      <td>12482571</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12481828</td>\n",
       "      <td>12481928</td>\n",
       "      <td>AC243836.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12482904-12488621</th>\n",
       "      <td>1345.727188</td>\n",
       "      <td>-0.560747</td>\n",
       "      <td>0.090647</td>\n",
       "      <td>-6.186076</td>\n",
       "      <td>6.168031e-10</td>\n",
       "      <td>3.930623e-08</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12482904</td>\n",
       "      <td>12488621</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12230066</td>\n",
       "      <td>12512047</td>\n",
       "      <td>VPS13D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-46339739-46340774</th>\n",
       "      <td>65.395004</td>\n",
       "      <td>-1.098066</td>\n",
       "      <td>0.220207</td>\n",
       "      <td>-4.986526</td>\n",
       "      <td>6.147476e-07</td>\n",
       "      <td>1.682997e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>46339739</td>\n",
       "      <td>46340774</td>\n",
       "      <td>chrX</td>\n",
       "      <td>46325923</td>\n",
       "      <td>46327645</td>\n",
       "      <td>LINC01186 &gt;10k</td>\n",
       "      <td>-12095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-49136881-49138380</th>\n",
       "      <td>110.944111</td>\n",
       "      <td>-0.746117</td>\n",
       "      <td>0.178134</td>\n",
       "      <td>-4.188509</td>\n",
       "      <td>2.807927e-05</td>\n",
       "      <td>4.228128e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>49136881</td>\n",
       "      <td>49138380</td>\n",
       "      <td>chrX</td>\n",
       "      <td>49113388</td>\n",
       "      <td>49123801</td>\n",
       "      <td>GPKOW &gt;10k</td>\n",
       "      <td>-13081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-49147504-49150248</th>\n",
       "      <td>201.435451</td>\n",
       "      <td>-1.203876</td>\n",
       "      <td>0.232126</td>\n",
       "      <td>-5.186299</td>\n",
       "      <td>2.145145e-07</td>\n",
       "      <td>6.698439e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>49147504</td>\n",
       "      <td>49150248</td>\n",
       "      <td>chrX</td>\n",
       "      <td>49152650</td>\n",
       "      <td>49152944</td>\n",
       "      <td>RN7SL262P &lt;5k</td>\n",
       "      <td>2403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-50967498-50971495</th>\n",
       "      <td>308.363571</td>\n",
       "      <td>-1.911665</td>\n",
       "      <td>0.331413</td>\n",
       "      <td>-5.768227</td>\n",
       "      <td>8.010982e-09</td>\n",
       "      <td>3.833916e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50967498</td>\n",
       "      <td>50971495</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50931113</td>\n",
       "      <td>50931548</td>\n",
       "      <td>HMGB1P15 &gt;10k</td>\n",
       "      <td>-35951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-50971776-50972220</th>\n",
       "      <td>19.225740</td>\n",
       "      <td>-2.065157</td>\n",
       "      <td>0.371341</td>\n",
       "      <td>-5.561345</td>\n",
       "      <td>2.677032e-08</td>\n",
       "      <td>1.103673e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50971776</td>\n",
       "      <td>50972220</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50931113</td>\n",
       "      <td>50931548</td>\n",
       "      <td>HMGB1P15 &gt;10k</td>\n",
       "      <td>-40229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-50978025-50980208</th>\n",
       "      <td>166.446543</td>\n",
       "      <td>-1.310520</td>\n",
       "      <td>0.231949</td>\n",
       "      <td>-5.650044</td>\n",
       "      <td>1.604068e-08</td>\n",
       "      <td>7.083694e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50978025</td>\n",
       "      <td>50980208</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50931113</td>\n",
       "      <td>50931548</td>\n",
       "      <td>HMGB1P15 &gt;10k</td>\n",
       "      <td>-46478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-53211551-53212255</th>\n",
       "      <td>30.131099</td>\n",
       "      <td>1.231833</td>\n",
       "      <td>0.287353</td>\n",
       "      <td>4.286822</td>\n",
       "      <td>1.812470e-05</td>\n",
       "      <td>2.932901e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>53211551</td>\n",
       "      <td>53212255</td>\n",
       "      <td>chrX</td>\n",
       "      <td>53191320</td>\n",
       "      <td>53225422</td>\n",
       "      <td>KDM5C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-5324875-5325208</th>\n",
       "      <td>18.657582</td>\n",
       "      <td>1.230255</td>\n",
       "      <td>0.298150</td>\n",
       "      <td>4.126298</td>\n",
       "      <td>3.686497e-05</td>\n",
       "      <td>5.290830e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>5324875</td>\n",
       "      <td>5325208</td>\n",
       "      <td>chrX</td>\n",
       "      <td>5305713</td>\n",
       "      <td>5307128</td>\n",
       "      <td>RP11-555H23.1 &gt;10k</td>\n",
       "      <td>-17748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-63404670-63405497</th>\n",
       "      <td>38.139923</td>\n",
       "      <td>1.554916</td>\n",
       "      <td>0.287595</td>\n",
       "      <td>5.406616</td>\n",
       "      <td>6.422655e-08</td>\n",
       "      <td>2.337382e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63404670</td>\n",
       "      <td>63405497</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63343226</td>\n",
       "      <td>63561071</td>\n",
       "      <td>LINC01278</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-63432302-63435337</th>\n",
       "      <td>444.498185</td>\n",
       "      <td>0.533864</td>\n",
       "      <td>0.123033</td>\n",
       "      <td>4.339198</td>\n",
       "      <td>1.430036e-05</td>\n",
       "      <td>2.394845e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63432302</td>\n",
       "      <td>63435337</td>\n",
       "      <td>chrX</td>\n",
       "      <td>63343226</td>\n",
       "      <td>63561071</td>\n",
       "      <td>LINC01278</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-6853412-6854008</th>\n",
       "      <td>24.752532</td>\n",
       "      <td>1.235359</td>\n",
       "      <td>0.304141</td>\n",
       "      <td>4.061797</td>\n",
       "      <td>4.869642e-05</td>\n",
       "      <td>6.663806e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>6853412</td>\n",
       "      <td>6854008</td>\n",
       "      <td>chrX</td>\n",
       "      <td>6667864</td>\n",
       "      <td>6721544</td>\n",
       "      <td>RP11-1M18.1 &gt;10k</td>\n",
       "      <td>-131869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-68977885-68978633</th>\n",
       "      <td>56.090988</td>\n",
       "      <td>-0.930111</td>\n",
       "      <td>0.220782</td>\n",
       "      <td>-4.212793</td>\n",
       "      <td>2.522320e-05</td>\n",
       "      <td>3.878200e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68977885</td>\n",
       "      <td>68978633</td>\n",
       "      <td>chrX</td>\n",
       "      <td>68828996</td>\n",
       "      <td>68842147</td>\n",
       "      <td>EFNB1 &gt;10k</td>\n",
       "      <td>-135739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69012696-69013041</th>\n",
       "      <td>16.420395</td>\n",
       "      <td>-1.417418</td>\n",
       "      <td>0.321479</td>\n",
       "      <td>-4.409049</td>\n",
       "      <td>1.038253e-05</td>\n",
       "      <td>1.837586e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69012696</td>\n",
       "      <td>69013041</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>147810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69032397-69033077</th>\n",
       "      <td>56.223843</td>\n",
       "      <td>-0.928198</td>\n",
       "      <td>0.198652</td>\n",
       "      <td>-4.672473</td>\n",
       "      <td>2.975953e-06</td>\n",
       "      <td>6.417775e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69032397</td>\n",
       "      <td>69033077</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>127774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-69094668-69095607</th>\n",
       "      <td>44.372363</td>\n",
       "      <td>-1.323361</td>\n",
       "      <td>0.237298</td>\n",
       "      <td>-5.576790</td>\n",
       "      <td>2.449978e-08</td>\n",
       "      <td>1.022155e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69094668</td>\n",
       "      <td>69095607</td>\n",
       "      <td>chrX</td>\n",
       "      <td>69160850</td>\n",
       "      <td>69165793</td>\n",
       "      <td>PJA1 &gt;10k</td>\n",
       "      <td>65244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7109532-7111732</th>\n",
       "      <td>177.155024</td>\n",
       "      <td>0.773538</td>\n",
       "      <td>0.151524</td>\n",
       "      <td>5.105063</td>\n",
       "      <td>3.306841e-07</td>\n",
       "      <td>9.735522e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7109532</td>\n",
       "      <td>7111732</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7120129-7120657</th>\n",
       "      <td>45.437747</td>\n",
       "      <td>0.972092</td>\n",
       "      <td>0.243318</td>\n",
       "      <td>3.995145</td>\n",
       "      <td>6.465465e-05</td>\n",
       "      <td>8.442184e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7120129</td>\n",
       "      <td>7120657</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-7120812-7121708</th>\n",
       "      <td>65.992306</td>\n",
       "      <td>0.881723</td>\n",
       "      <td>0.211917</td>\n",
       "      <td>4.160699</td>\n",
       "      <td>3.172753e-05</td>\n",
       "      <td>4.682550e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7120812</td>\n",
       "      <td>7121708</td>\n",
       "      <td>chrX</td>\n",
       "      <td>7048919</td>\n",
       "      <td>7148190</td>\n",
       "      <td>HDHD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>1.406923</td>\n",
       "      <td>0.238138</td>\n",
       "      <td>5.908028</td>\n",
       "      <td>3.462276e-09</td>\n",
       "      <td>1.841224e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72271456-72272562</th>\n",
       "      <td>68.468871</td>\n",
       "      <td>1.406923</td>\n",
       "      <td>0.238138</td>\n",
       "      <td>5.908028</td>\n",
       "      <td>3.462276e-09</td>\n",
       "      <td>1.841224e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72271456</td>\n",
       "      <td>72272562</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.355711</td>\n",
       "      <td>0.289813</td>\n",
       "      <td>4.677886</td>\n",
       "      <td>2.898473e-06</td>\n",
       "      <td>6.271581e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72181352</td>\n",
       "      <td>72302926</td>\n",
       "      <td>PIN4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-72272823-72273169</th>\n",
       "      <td>21.280833</td>\n",
       "      <td>1.355711</td>\n",
       "      <td>0.289813</td>\n",
       "      <td>4.677886</td>\n",
       "      <td>2.898473e-06</td>\n",
       "      <td>6.271581e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72272823</td>\n",
       "      <td>72273169</td>\n",
       "      <td>chrX</td>\n",
       "      <td>72255678</td>\n",
       "      <td>72277300</td>\n",
       "      <td>RPS4X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-78506959-78507524</th>\n",
       "      <td>32.180249</td>\n",
       "      <td>-1.217578</td>\n",
       "      <td>0.294687</td>\n",
       "      <td>-4.131764</td>\n",
       "      <td>3.599904e-05</td>\n",
       "      <td>5.186265e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>78506959</td>\n",
       "      <td>78507524</td>\n",
       "      <td>chrX</td>\n",
       "      <td>78519592</td>\n",
       "      <td>78520186</td>\n",
       "      <td>HMGN1P34 &gt;10k</td>\n",
       "      <td>12069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79324628-79326101</th>\n",
       "      <td>116.434118</td>\n",
       "      <td>0.745956</td>\n",
       "      <td>0.171442</td>\n",
       "      <td>4.351062</td>\n",
       "      <td>1.354796e-05</td>\n",
       "      <td>2.287903e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79324628</td>\n",
       "      <td>79326101</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79323445</td>\n",
       "      <td>79325217</td>\n",
       "      <td>KIF4CP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79452205-79452837</th>\n",
       "      <td>33.656739</td>\n",
       "      <td>-1.395579</td>\n",
       "      <td>0.259812</td>\n",
       "      <td>-5.371501</td>\n",
       "      <td>7.808379e-08</td>\n",
       "      <td>2.761826e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79452205</td>\n",
       "      <td>79452837</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-79453042-79453574</th>\n",
       "      <td>31.958500</td>\n",
       "      <td>-1.563085</td>\n",
       "      <td>0.296611</td>\n",
       "      <td>-5.269817</td>\n",
       "      <td>1.365596e-07</td>\n",
       "      <td>4.532878e-06</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79453042</td>\n",
       "      <td>79453574</td>\n",
       "      <td>chrX</td>\n",
       "      <td>79369363</td>\n",
       "      <td>79370165</td>\n",
       "      <td>RP1-164L12.1 &gt;10k</td>\n",
       "      <td>-82878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96978842-96980758</th>\n",
       "      <td>130.731951</td>\n",
       "      <td>0.973488</td>\n",
       "      <td>0.153484</td>\n",
       "      <td>6.342615</td>\n",
       "      <td>2.258980e-10</td>\n",
       "      <td>1.640259e-08</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96978842</td>\n",
       "      <td>96980758</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96981481-96982270</th>\n",
       "      <td>74.033348</td>\n",
       "      <td>1.622413</td>\n",
       "      <td>0.243107</td>\n",
       "      <td>6.673651</td>\n",
       "      <td>2.495172e-11</td>\n",
       "      <td>2.311938e-09</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96981481</td>\n",
       "      <td>96982270</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96982600-96983282</th>\n",
       "      <td>66.057267</td>\n",
       "      <td>1.449752</td>\n",
       "      <td>0.256393</td>\n",
       "      <td>5.654409</td>\n",
       "      <td>1.563834e-08</td>\n",
       "      <td>6.919505e-07</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96982600</td>\n",
       "      <td>96983282</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-96983571-96985630</th>\n",
       "      <td>111.085318</td>\n",
       "      <td>1.846262</td>\n",
       "      <td>0.254083</td>\n",
       "      <td>7.266379</td>\n",
       "      <td>3.692519e-13</td>\n",
       "      <td>5.345187e-11</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96983571</td>\n",
       "      <td>96985630</td>\n",
       "      <td>chrX</td>\n",
       "      <td>96684662</td>\n",
       "      <td>97604997</td>\n",
       "      <td>DIAPH2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3971 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr1-105350097-105351227    59.321446        1.423054  0.323322  4.401348   \n",
       "chr1-105351987-105352940    39.428125        1.539467  0.323057  4.765307   \n",
       "chr1-105631893-105633737   152.316048       -1.021202  0.231292 -4.415204   \n",
       "chr1-109730222-109733088   216.295926       -0.956639  0.157372 -6.078850   \n",
       "chr1-109730222-109733088   216.295926       -0.956639  0.157372 -6.078850   \n",
       "chr1-109917885-109918906    72.108120        0.750102  0.184562  4.064223   \n",
       "chr1-111447160-111447719    35.740531        1.099905  0.267905  4.105586   \n",
       "chr1-112634672-112638850   437.429351        1.220730  0.198490  6.150087   \n",
       "chr1-112634672-112638850   437.429351        1.220730  0.198490  6.150087   \n",
       "chr1-112639284-112639758    22.687426        1.556334  0.304440  5.112117   \n",
       "chr1-112646035-112646630    35.861396        0.980074  0.242292  4.045018   \n",
       "chr1-112817608-112819121    93.659445        1.349385  0.187001  7.215936   \n",
       "chr1-112819381-112819852    34.662846        2.327318  0.258640  8.998276   \n",
       "chr1-112821143-112821597    24.129784        1.856360  0.301500  6.157089   \n",
       "chr1-112826414-112826958    37.677690        1.324517  0.260253  5.089352   \n",
       "chr1-112868969-112869313    24.522705        1.188065  0.282149  4.210769   \n",
       "chr1-112874252-112874583    23.488870        1.101120  0.272600  4.039326   \n",
       "chr1-113964338-113965579    45.336861        2.432471  0.281292  8.647503   \n",
       "chr1-113966382-113966808    20.769794        2.853030  0.347966  8.199171   \n",
       "chr1-114715458-114717611   600.223572        0.565805  0.099444  5.689659   \n",
       "chr1-114715458-114717611   600.223572        0.565805  0.099444  5.689659   \n",
       "chr1-115771590-115771935    25.419438        1.189427  0.290249  4.097956   \n",
       "chr1-116380348-116380929    34.796979        1.110965  0.256290  4.334800   \n",
       "chr1-116380982-116382455    91.490756        0.952719  0.226721  4.202162   \n",
       "chr1-116453390-116454983   156.122588       -0.647848  0.157051 -4.125090   \n",
       "chr1-116481354-116485409   473.587821       -0.613297  0.120547 -5.087602   \n",
       "chr1-117237152-117237803    41.450766       -1.262662  0.255988 -4.932510   \n",
       "chr1-12475051-12482571    1823.526615       -0.631226  0.109408 -5.769481   \n",
       "chr1-12475051-12482571    1823.526615       -0.631226  0.109408 -5.769481   \n",
       "chr1-12482904-12488621    1345.727188       -0.560747  0.090647 -6.186076   \n",
       "...                               ...             ...       ...       ...   \n",
       "chrX-46339739-46340774      65.395004       -1.098066  0.220207 -4.986526   \n",
       "chrX-49136881-49138380     110.944111       -0.746117  0.178134 -4.188509   \n",
       "chrX-49147504-49150248     201.435451       -1.203876  0.232126 -5.186299   \n",
       "chrX-50967498-50971495     308.363571       -1.911665  0.331413 -5.768227   \n",
       "chrX-50971776-50972220      19.225740       -2.065157  0.371341 -5.561345   \n",
       "chrX-50978025-50980208     166.446543       -1.310520  0.231949 -5.650044   \n",
       "chrX-53211551-53212255      30.131099        1.231833  0.287353  4.286822   \n",
       "chrX-5324875-5325208        18.657582        1.230255  0.298150  4.126298   \n",
       "chrX-63404670-63405497      38.139923        1.554916  0.287595  5.406616   \n",
       "chrX-63432302-63435337     444.498185        0.533864  0.123033  4.339198   \n",
       "chrX-6853412-6854008        24.752532        1.235359  0.304141  4.061797   \n",
       "chrX-68977885-68978633      56.090988       -0.930111  0.220782 -4.212793   \n",
       "chrX-69012696-69013041      16.420395       -1.417418  0.321479 -4.409049   \n",
       "chrX-69032397-69033077      56.223843       -0.928198  0.198652 -4.672473   \n",
       "chrX-69094668-69095607      44.372363       -1.323361  0.237298 -5.576790   \n",
       "chrX-7109532-7111732       177.155024        0.773538  0.151524  5.105063   \n",
       "chrX-7120129-7120657        45.437747        0.972092  0.243318  3.995145   \n",
       "chrX-7120812-7121708        65.992306        0.881723  0.211917  4.160699   \n",
       "chrX-72271456-72272562      68.468871        1.406923  0.238138  5.908028   \n",
       "chrX-72271456-72272562      68.468871        1.406923  0.238138  5.908028   \n",
       "chrX-72272823-72273169      21.280833        1.355711  0.289813  4.677886   \n",
       "chrX-72272823-72273169      21.280833        1.355711  0.289813  4.677886   \n",
       "chrX-78506959-78507524      32.180249       -1.217578  0.294687 -4.131764   \n",
       "chrX-79324628-79326101     116.434118        0.745956  0.171442  4.351062   \n",
       "chrX-79452205-79452837      33.656739       -1.395579  0.259812 -5.371501   \n",
       "chrX-79453042-79453574      31.958500       -1.563085  0.296611 -5.269817   \n",
       "chrX-96978842-96980758     130.731951        0.973488  0.153484  6.342615   \n",
       "chrX-96981481-96982270      74.033348        1.622413  0.243107  6.673651   \n",
       "chrX-96982600-96983282      66.057267        1.449752  0.256393  5.654409   \n",
       "chrX-96983571-96985630     111.085318        1.846262  0.254083  7.266379   \n",
       "\n",
       "                                pvalue          padj chrom_peak  start_peak  \\\n",
       "chr1-105350097-105351227  1.075802e-05  1.889283e-04       chr1   105350097   \n",
       "chr1-105351987-105352940  1.885664e-06  4.347967e-05       chr1   105351987   \n",
       "chr1-105631893-105633737  1.009148e-05  1.794486e-04       chr1   105631893   \n",
       "chr1-109730222-109733088  1.210473e-09  7.283576e-08       chr1   109730222   \n",
       "chr1-109730222-109733088  1.210473e-09  7.283576e-08       chr1   109730222   \n",
       "chr1-109917885-109918906  4.819273e-05  6.605475e-04       chr1   109917885   \n",
       "chr1-111447160-111447719  4.032916e-05  5.688421e-04       chr1   111447160   \n",
       "chr1-112634672-112638850  7.744039e-10  4.839651e-08       chr1   112634672   \n",
       "chr1-112634672-112638850  7.744039e-10  4.839651e-08       chr1   112634672   \n",
       "chr1-112639284-112639758  3.185690e-07  9.435337e-06       chr1   112639284   \n",
       "chr1-112646035-112646630  5.231903e-05  7.059329e-04       chr1   112646035   \n",
       "chr1-112817608-112819121  5.356442e-13  7.513779e-11       chr1   112817608   \n",
       "chr1-112819381-112819852  2.292902e-19  1.117087e-16       chr1   112819381   \n",
       "chr1-112821143-112821597  7.409413e-10  4.669167e-08       chr1   112821143   \n",
       "chr1-112826414-112826958  3.592887e-07  1.044866e-05       chr1   112826414   \n",
       "chr1-112868969-112869313  2.545024e-05  3.900964e-04       chr1   112868969   \n",
       "chr1-112874252-112874583  5.360507e-05  7.215663e-04       chr1   112874252   \n",
       "chr1-113964338-113965579  5.263847e-18  2.073910e-15       chr1   113964338   \n",
       "chr1-113966382-113966808  2.420496e-16  7.460561e-14       chr1   113966382   \n",
       "chr1-114715458-114717611  1.272932e-08  5.847984e-07       chr1   114715458   \n",
       "chr1-114715458-114717611  1.272932e-08  5.847984e-07       chr1   114715458   \n",
       "chr1-115771590-115771935  4.168145e-05  5.844179e-04       chr1   115771590   \n",
       "chr1-116380348-116380929  1.458925e-05  2.435983e-04       chr1   116380348   \n",
       "chr1-116380982-116382455  2.643783e-05  4.014315e-04       chr1   116380982   \n",
       "chr1-116453390-116454983  3.705896e-05  5.310261e-04       chr1   116453390   \n",
       "chr1-116481354-116485409  3.626194e-07  1.053876e-05       chr1   116481354   \n",
       "chr1-117237152-117237803  8.117944e-07  2.128564e-05       chr1   117237152   \n",
       "chr1-12475051-12482571    7.951612e-09  3.820266e-07       chr1    12475051   \n",
       "chr1-12475051-12482571    7.951612e-09  3.820266e-07       chr1    12475051   \n",
       "chr1-12482904-12488621    6.168031e-10  3.930623e-08       chr1    12482904   \n",
       "...                                ...           ...        ...         ...   \n",
       "chrX-46339739-46340774    6.147476e-07  1.682997e-05       chrX    46339739   \n",
       "chrX-49136881-49138380    2.807927e-05  4.228128e-04       chrX    49136881   \n",
       "chrX-49147504-49150248    2.145145e-07  6.698439e-06       chrX    49147504   \n",
       "chrX-50967498-50971495    8.010982e-09  3.833916e-07       chrX    50967498   \n",
       "chrX-50971776-50972220    2.677032e-08  1.103673e-06       chrX    50971776   \n",
       "chrX-50978025-50980208    1.604068e-08  7.083694e-07       chrX    50978025   \n",
       "chrX-53211551-53212255    1.812470e-05  2.932901e-04       chrX    53211551   \n",
       "chrX-5324875-5325208      3.686497e-05  5.290830e-04       chrX     5324875   \n",
       "chrX-63404670-63405497    6.422655e-08  2.337382e-06       chrX    63404670   \n",
       "chrX-63432302-63435337    1.430036e-05  2.394845e-04       chrX    63432302   \n",
       "chrX-6853412-6854008      4.869642e-05  6.663806e-04       chrX     6853412   \n",
       "chrX-68977885-68978633    2.522320e-05  3.878200e-04       chrX    68977885   \n",
       "chrX-69012696-69013041    1.038253e-05  1.837586e-04       chrX    69012696   \n",
       "chrX-69032397-69033077    2.975953e-06  6.417775e-05       chrX    69032397   \n",
       "chrX-69094668-69095607    2.449978e-08  1.022155e-06       chrX    69094668   \n",
       "chrX-7109532-7111732      3.306841e-07  9.735522e-06       chrX     7109532   \n",
       "chrX-7120129-7120657      6.465465e-05  8.442184e-04       chrX     7120129   \n",
       "chrX-7120812-7121708      3.172753e-05  4.682550e-04       chrX     7120812   \n",
       "chrX-72271456-72272562    3.462276e-09  1.841224e-07       chrX    72271456   \n",
       "chrX-72271456-72272562    3.462276e-09  1.841224e-07       chrX    72271456   \n",
       "chrX-72272823-72273169    2.898473e-06  6.271581e-05       chrX    72272823   \n",
       "chrX-72272823-72273169    2.898473e-06  6.271581e-05       chrX    72272823   \n",
       "chrX-78506959-78507524    3.599904e-05  5.186265e-04       chrX    78506959   \n",
       "chrX-79324628-79326101    1.354796e-05  2.287903e-04       chrX    79324628   \n",
       "chrX-79452205-79452837    7.808379e-08  2.761826e-06       chrX    79452205   \n",
       "chrX-79453042-79453574    1.365596e-07  4.532878e-06       chrX    79453042   \n",
       "chrX-96978842-96980758    2.258980e-10  1.640259e-08       chrX    96978842   \n",
       "chrX-96981481-96982270    2.495172e-11  2.311938e-09       chrX    96981481   \n",
       "chrX-96982600-96983282    1.563834e-08  6.919505e-07       chrX    96982600   \n",
       "chrX-96983571-96985630    3.692519e-13  5.345187e-11       chrX    96983571   \n",
       "\n",
       "                           end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr1-105350097-105351227  105351227       chr1   105433993  105434821   \n",
       "chr1-105351987-105352940  105352940       chr1   105433993  105434821   \n",
       "chr1-105631893-105633737  105633737       chr1   105587574  105618958   \n",
       "chr1-109730222-109733088  109733088       chr1   109712254  109775428   \n",
       "chr1-109730222-109733088  109733088       chr1   109725819  109775252   \n",
       "chr1-109917885-109918906  109918906       chr1   109910241  109930992   \n",
       "chr1-111447160-111447719  111447719       chr1   111439889  111449376   \n",
       "chr1-112634672-112638850  112638850       chr1   112619172  112671619   \n",
       "chr1-112634672-112638850  112638850       chr1   112634718  112634784   \n",
       "chr1-112639284-112639758  112639758       chr1   112619172  112671619   \n",
       "chr1-112646035-112646630  112646630       chr1   112619172  112671619   \n",
       "chr1-112817608-112819121  112819121       chr1   112820169  112850643   \n",
       "chr1-112819381-112819852  112819852       chr1   112820169  112850643   \n",
       "chr1-112821143-112821597  112821597       chr1   112820169  112850643   \n",
       "chr1-112826414-112826958  112826958       chr1   112820169  112850643   \n",
       "chr1-112868969-112869313  112869313       chr1   112850027  112877871   \n",
       "chr1-112874252-112874583  112874583       chr1   112850027  112877871   \n",
       "chr1-113964338-113965579  113965579       chr1   113929191  113977869   \n",
       "chr1-113966382-113966808  113966808       chr1   113929191  113977869   \n",
       "chr1-114715458-114717611  114717611       chr1   114704468  114716894   \n",
       "chr1-114715458-114717611  114717611       chr1   114716912  114758676   \n",
       "chr1-115771590-115771935  115771935       chr1   115700006  115768781   \n",
       "chr1-116380348-116380929  116380929       chr1   116372667  116410261   \n",
       "chr1-116380982-116382455  116382455       chr1   116372667  116410261   \n",
       "chr1-116453390-116454983  116454983       chr1   116423723  116478842   \n",
       "chr1-116481354-116485409  116485409       chr1   116423723  116478842   \n",
       "chr1-117237152-117237803  117237803       chr1   117243211  117243508   \n",
       "chr1-12475051-12482571     12482571       chr1    12230066   12512047   \n",
       "chr1-12475051-12482571     12482571       chr1    12481828   12481928   \n",
       "chr1-12482904-12488621     12488621       chr1    12230066   12512047   \n",
       "...                             ...        ...         ...        ...   \n",
       "chrX-46339739-46340774     46340774       chrX    46325923   46327645   \n",
       "chrX-49136881-49138380     49138380       chrX    49113388   49123801   \n",
       "chrX-49147504-49150248     49150248       chrX    49152650   49152944   \n",
       "chrX-50967498-50971495     50971495       chrX    50931113   50931548   \n",
       "chrX-50971776-50972220     50972220       chrX    50931113   50931548   \n",
       "chrX-50978025-50980208     50980208       chrX    50931113   50931548   \n",
       "chrX-53211551-53212255     53212255       chrX    53191320   53225422   \n",
       "chrX-5324875-5325208        5325208       chrX     5305713    5307128   \n",
       "chrX-63404670-63405497     63405497       chrX    63343226   63561071   \n",
       "chrX-63432302-63435337     63435337       chrX    63343226   63561071   \n",
       "chrX-6853412-6854008        6854008       chrX     6667864    6721544   \n",
       "chrX-68977885-68978633     68978633       chrX    68828996   68842147   \n",
       "chrX-69012696-69013041     69013041       chrX    69160850   69165793   \n",
       "chrX-69032397-69033077     69033077       chrX    69160850   69165793   \n",
       "chrX-69094668-69095607     69095607       chrX    69160850   69165793   \n",
       "chrX-7109532-7111732        7111732       chrX     7048919    7148190   \n",
       "chrX-7120129-7120657        7120657       chrX     7048919    7148190   \n",
       "chrX-7120812-7121708        7121708       chrX     7048919    7148190   \n",
       "chrX-72271456-72272562     72272562       chrX    72181352   72302926   \n",
       "chrX-72271456-72272562     72272562       chrX    72255678   72277300   \n",
       "chrX-72272823-72273169     72273169       chrX    72181352   72302926   \n",
       "chrX-72272823-72273169     72273169       chrX    72255678   72277300   \n",
       "chrX-78506959-78507524     78507524       chrX    78519592   78520186   \n",
       "chrX-79324628-79326101     79326101       chrX    79323445   79325217   \n",
       "chrX-79452205-79452837     79452837       chrX    79369363   79370165   \n",
       "chrX-79453042-79453574     79453574       chrX    79369363   79370165   \n",
       "chrX-96978842-96980758     96980758       chrX    96684662   97604997   \n",
       "chrX-96981481-96982270     96982270       chrX    96684662   97604997   \n",
       "chrX-96982600-96983282     96983282       chrX    96684662   97604997   \n",
       "chrX-96983571-96985630     96985630       chrX    96684662   97604997   \n",
       "\n",
       "                                   gene_name  distance  \n",
       "chr1-105350097-105351227   RP11-414B7.1 >10k     82767  \n",
       "chr1-105351987-105352940   RP11-414B7.1 >10k     81054  \n",
       "chr1-105631893-105633737   RP11-251P6.1 >10k    -12936  \n",
       "chr1-109730222-109733088              GSTM5          0  \n",
       "chr1-109730222-109733088        RP4-735C1.4          0  \n",
       "chr1-109917885-109918906               CSF1          0  \n",
       "chr1-111447160-111447719              WDR77          0  \n",
       "chr1-112634672-112638850             CAPZA1          0  \n",
       "chr1-112634672-112638850           RNU7-70P          0  \n",
       "chr1-112639284-112639758             CAPZA1          0  \n",
       "chr1-112646035-112646630             CAPZA1          0  \n",
       "chr1-112817608-112819121       LINC01356 <5k      1049  \n",
       "chr1-112819381-112819852       LINC01356 <1k       318  \n",
       "chr1-112821143-112821597          LINC01356          0  \n",
       "chr1-112826414-112826958          LINC01356          0  \n",
       "chr1-112868969-112869313        RP3-522D1.1          0  \n",
       "chr1-112874252-112874583        RP3-522D1.1          0  \n",
       "chr1-113964338-113965579              HIPK1          0  \n",
       "chr1-113966382-113966808              HIPK1          0  \n",
       "chr1-114715458-114717611               NRAS          0  \n",
       "chr1-114715458-114717611              CSDE1          0  \n",
       "chr1-115771590-115771935           CASQ2 <5k     -2810  \n",
       "chr1-116380348-116380929             ATP1A1          0  \n",
       "chr1-116380982-116382455             ATP1A1          0  \n",
       "chr1-116453390-116454983       RP4-655J12.4          0  \n",
       "chr1-116481354-116485409    RP4-655J12.4 <5k     -2513  \n",
       "chr1-117237152-117237803    Metazoa_SRP <10k      5409  \n",
       "chr1-12475051-12482571               VPS13D          0  \n",
       "chr1-12475051-12482571           AC243836.1          0  \n",
       "chr1-12482904-12488621               VPS13D          0  \n",
       "...                                      ...       ...  \n",
       "chrX-46339739-46340774        LINC01186 >10k    -12095  \n",
       "chrX-49136881-49138380            GPKOW >10k    -13081  \n",
       "chrX-49147504-49150248         RN7SL262P <5k      2403  \n",
       "chrX-50967498-50971495         HMGB1P15 >10k    -35951  \n",
       "chrX-50971776-50972220         HMGB1P15 >10k    -40229  \n",
       "chrX-50978025-50980208         HMGB1P15 >10k    -46478  \n",
       "chrX-53211551-53212255                KDM5C          0  \n",
       "chrX-5324875-5325208      RP11-555H23.1 >10k    -17748  \n",
       "chrX-63404670-63405497            LINC01278          0  \n",
       "chrX-63432302-63435337            LINC01278          0  \n",
       "chrX-6853412-6854008        RP11-1M18.1 >10k   -131869  \n",
       "chrX-68977885-68978633            EFNB1 >10k   -135739  \n",
       "chrX-69012696-69013041             PJA1 >10k    147810  \n",
       "chrX-69032397-69033077             PJA1 >10k    127774  \n",
       "chrX-69094668-69095607             PJA1 >10k     65244  \n",
       "chrX-7109532-7111732                  HDHD1          0  \n",
       "chrX-7120129-7120657                  HDHD1          0  \n",
       "chrX-7120812-7121708                  HDHD1          0  \n",
       "chrX-72271456-72272562                 PIN4          0  \n",
       "chrX-72271456-72272562                RPS4X          0  \n",
       "chrX-72272823-72273169                 PIN4          0  \n",
       "chrX-72272823-72273169                RPS4X          0  \n",
       "chrX-78506959-78507524         HMGN1P34 >10k     12069  \n",
       "chrX-79324628-79326101               KIF4CP          0  \n",
       "chrX-79452205-79452837     RP1-164L12.1 >10k    -82041  \n",
       "chrX-79453042-79453574     RP1-164L12.1 >10k    -82878  \n",
       "chrX-96978842-96980758               DIAPH2          0  \n",
       "chrX-96981481-96982270               DIAPH2          0  \n",
       "chrX-96982600-96983282               DIAPH2          0  \n",
       "chrX-96983571-96985630               DIAPH2          0  \n",
       "\n",
       "[3971 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.transforms as mtransforms\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "sns.set_context(\"paper\")\n",
    "\n",
    "def abbreviate_distance(d):\n",
    "    if d == 0: return \"\"\n",
    "    if d < 1000: return \"<1k\"\n",
    "    if d < 5000: return \"<5k\"\n",
    "    if d < 10000: return \"<10k\"\n",
    "    if d >= 10000: return \">10k\" \n",
    "    \n",
    "\n",
    "\n",
    "# Config\n",
    "pval_thres = 0.001\n",
    "top_to_report = 50\n",
    "comparisons = [\n",
    "    \"THZ531_vs_DMSO\",\n",
    "    \"Gefit_vs_DMSO\",\n",
    "    \"Vorino_vs_DMSO\",\n",
    "    \"GT_vs_DMSO\",\n",
    "    \"GT_vs_THZ531\",\n",
    "    \"GT_vs_Gefit\",\n",
    "    \"THZ531_vs_Gefit\",\n",
    "]\n",
    "\n",
    "for comparison in comparisons:\n",
    "    df = pd.read_csv(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/%s.H3K27Ac.deseq2_results.txt\" % comparison,\n",
    "                    sep=\"\\t\")\n",
    "    df_closets = pd.read_csv(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/%s.H3K27Ac.deseq2_results.closest_gene.txt\" % comparison,\n",
    "                        sep='\\s+',\n",
    "                        names=['chrom_peak', 'start_peak', 'end_peak', 'chrom_gene', 'start_gene', 'end_gene', 'gene_name', 'distance'])\n",
    "    df_closets.index = df_closets.loc[:, ['chrom_peak', 'start_peak', 'end_peak']].apply(lambda x: \"-\".join([str(xx) for xx in x]), axis=1)\n",
    "    df.index = df.index.str.replace(\" \", \"\")\n",
    "    \n",
    "    # Add binned distance to gene name\n",
    "    df_closets.loc[:, 'gene_name'] = df_closets.loc[:, ['gene_name', 'distance']].apply(lambda x: \" \".join([x['gene_name'], \n",
    "                                                                                                            abbreviate_distance(abs(x['distance']))]), \n",
    "                                                                                        axis=1)\n",
    "    \n",
    "    df = df.join(df_closets)\n",
    "    \n",
    "    # Plot MA\n",
    "    fig = plt.figure(figsize=(8, 8))\n",
    "    ax = plt.subplot(1, 1, 1)\n",
    "    df_non_sig = df[df.padj>pval_thres]\n",
    "    ax.set_xscale('log')\n",
    "    ax.plot(df_non_sig['baseMean'].values, \n",
    "            df_non_sig['log2FoldChange'].values, \n",
    "            'ko', alpha=0.2, label='non-sig. DEGs')\n",
    "\n",
    "    ylims = [np.ceil(df['log2FoldChange'].min()-1), \n",
    "             np.floor(df['log2FoldChange'].max()+1)]\n",
    "    df_sig = df[df.padj<=pval_thres]\n",
    "#     ax.plot(df_sig['baseMean'].values, df_sig['log2FoldChange'].values, 'ro', alpha=0.2)\n",
    "\n",
    "    # Annotate significant peaks\n",
    "    df_annotate = df_sig\n",
    "    ax.plot(df_annotate['baseMean'].values, df_annotate['log2FoldChange'].values, 'ro', label='sig. DEGs')\n",
    "\n",
    "    for x, y, t in zip(df_annotate['baseMean'].values, df_annotate['log2FoldChange'].values, df_annotate['gene_name'].values) :\n",
    "        ax.annotate('{}'.format(t), xy=(x, y), xytext=(5, 0), ha='left',\n",
    "                    textcoords='offset points')\n",
    "\n",
    "    plt.ylim(ylims)\n",
    "    plt.xlabel(\"mean of normalized counts\")\n",
    "    plt.ylabel(\"log2 fold-change\")\n",
    "    plt.title(\"%s\\n%d peaks diff. expressed (padj<=%.3f) - top %d annotated\" % (comparison, \n",
    "                                                                                np.count_nonzero(df.padj<=pval_thres), \n",
    "                                                                                pval_thres, \n",
    "                                                                                top_to_report))\n",
    "    plt.legend()\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    # Save annotated MA plot\n",
    "    plt.savefig(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/degs%s.H3K27Ac.with_genes.annotated_plot_MA.pdf\" % comparison)\n",
    "    \n",
    "    # Save annotated genes without pseudogenes\n",
    "    df_annotate.to_csv(\"/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/plots/degs%s.H3K27Ac.with_genes.sig_DE_no_pseudogenes.txt\" % comparison,\n",
    "                      sep='\\t',\n",
    "                      index=False)\n",
    "    \n",
    "    # print table of values \n",
    "    print \"======\", comparison, \"======\"\n",
    "    display(df_annotate)\n",
    "    \n",
    "   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Find closest protein-coding gene to DE peak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submitted batch job 3207330\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "module load bedtools2\n",
    "cd /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/\n",
    "BEDFILES=($(/bin/ls -1 *.H3K27Ac.deseq2_results.txt))\n",
    "sbatch -pnew,all \\\n",
    "    --array=0-$((${#BEDFILES[@]}-1)) \\\n",
    "    --output=/data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/logs/chipseq_H3K27Ac_deseq2_closest_gene_%a.out \\\n",
    "    <<'EOF'\n",
    "#!/bin/bash\n",
    "BEDFILES=($(/bin/ls -1 *.H3K27Ac.deseq2_results.txt))\n",
    "BEDFILE=${BEDFILES[${SLURM_ARRAY_TASK_ID}]}\n",
    "bedtools closest \\\n",
    "    -D a \\\n",
    "    -a <(tail -n+2 ${BEDFILE} \\\n",
    "        | cut -f1 \\\n",
    "        | awk -F\"-\" -vOFS=\"\\t\" '{print $1,$2, $3}' \\\n",
    "        | sort -k1,1 -k2,2n \\\n",
    "        | sed -E 's/[ \\t]+/\\t/g') \\\n",
    "    -b <(sort -k1,1 -k2,2n /data/reddylab/Reference_Data/Gencode/v22/gencode.v22.annotation.gene_name.bed | cut -f1-4) \\\n",
    "> ${BEDFILE/H3K27Ac.deseq2_results.txt/H3K27Ac.deseq2_results.closest_gene.txt}\n",
    "EOF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chr1\t69090\t70008\tOR4F5\t.\t+\tENSG00000186092.4\r\n",
      "chr1\t182392\t184158\tFO538757.3\t.\t+\tENSG00000279928.1\r\n",
      "chr1\t184922\t200322\tFO538757.2\t.\t-\tENSG00000279457.2\r\n",
      "chr1\t450739\t451678\tOR4F29\t.\t-\tENSG00000278566.1\r\n",
      "chr1\t685715\t686654\tOR4F16\t.\t-\tENSG00000273547.1\r\n",
      "chr1\t924879\t944581\tSAMD11\t.\t+\tENSG00000187634.9\r\n",
      "chr1\t944203\t959309\tNOC2L\t.\t-\tENSG00000188976.9\r\n",
      "chr1\t960586\t965715\tKLHL17\t.\t+\tENSG00000187961.12\r\n",
      "chr1\t966496\t975865\tPLEKHN1\t.\t+\tENSG00000187583.9\r\n",
      "chr1\t975203\t982093\tPERM1\t.\t-\tENSG00000187642.8\r\n",
      "tail: write error\r\n"
     ]
    }
   ],
   "source": [
    "!tail -n+2 /data/reddylab/Reference_Data/Gencode/v22/gencode.v22.annotation.protein_coding.ensembl_id.bed | head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chr1\t916523\t916934\tchr1\t916864\t921016\tRP11-54O7.3\t0\r\n",
      "chr1\t920920\t921374\tchr1\t916864\t921016\tRP11-54O7.3\t0\r\n",
      "chr1\t923752\t924117\tchr1\t924879\t944581\tSAMD11\t763\r\n",
      "chr1\t935734\t936264\tchr1\t924879\t944581\tSAMD11\t0\r\n",
      "chr1\t938408\t938818\tchr1\t924879\t944581\tSAMD11\t0\r\n",
      "chr1\t939921\t940816\tchr1\t924879\t944581\tSAMD11\t0\r\n",
      "chr1\t941450\t942430\tchr1\t924879\t944581\tSAMD11\t0\r\n",
      "chr1\t944031\t944631\tchr1\t924879\t944581\tSAMD11\t0\r\n",
      "chr1\t944031\t944631\tchr1\t944203\t959309\tNOC2L\t0\r\n",
      "chr1\t999978\t1000479\tchr1\t998961\t1000172\tHES4\t0\r\n"
     ]
    }
   ],
   "source": [
    "!head /data/reddylab/Hazel/chipseq/chiprep/processing/chip_seq/analysis/results/chip_seq/data/THZ531_vs_DMSO.H3K27Ac.deseq2_results.closest_gene.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== Vorinostat_vs_DMSO ======\n"
     ]
    },
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "      <th>chrom_peak</th>\n",
       "      <th>start_peak</th>\n",
       "      <th>end_peak</th>\n",
       "      <th>chrom_gene</th>\n",
       "      <th>start_gene</th>\n",
       "      <th>end_gene</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>chr10-61747250-61747740</th>\n",
       "      <td>28.984787</td>\n",
       "      <td>2.349714</td>\n",
       "      <td>0.391226</td>\n",
       "      <td>6.006028</td>\n",
       "      <td>1.901234e-09</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61747250</td>\n",
       "      <td>61747740</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61662960</td>\n",
       "      <td>61766766</td>\n",
       "      <td>C10orf107</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-61898371-61899049</th>\n",
       "      <td>51.614749</td>\n",
       "      <td>1.869547</td>\n",
       "      <td>0.297456</td>\n",
       "      <td>6.285118</td>\n",
       "      <td>3.276043e-10</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61898371</td>\n",
       "      <td>61899049</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61901299</td>\n",
       "      <td>62096944</td>\n",
       "      <td>ARID5B &lt;5k</td>\n",
       "      <td>2251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr15-35427431-35427774</th>\n",
       "      <td>22.986699</td>\n",
       "      <td>2.256413</td>\n",
       "      <td>0.416006</td>\n",
       "      <td>5.423997</td>\n",
       "      <td>5.828101e-08</td>\n",
       "      <td>0.000067</td>\n",
       "      <td>chr15</td>\n",
       "      <td>35427431</td>\n",
       "      <td>35427774</td>\n",
       "      <td>chr15</td>\n",
       "      <td>35217344</td>\n",
       "      <td>35546193</td>\n",
       "      <td>DPH6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr15-71501770-71502487</th>\n",
       "      <td>45.615056</td>\n",
       "      <td>1.649628</td>\n",
       "      <td>0.343514</td>\n",
       "      <td>4.802214</td>\n",
       "      <td>1.569208e-06</td>\n",
       "      <td>0.000529</td>\n",
       "      <td>chr15</td>\n",
       "      <td>71501770</td>\n",
       "      <td>71502487</td>\n",
       "      <td>chr15</td>\n",
       "      <td>71096951</td>\n",
       "      <td>71783383</td>\n",
       "      <td>THSD4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr17-59803137-59803791</th>\n",
       "      <td>28.691769</td>\n",
       "      <td>1.881193</td>\n",
       "      <td>0.366250</td>\n",
       "      <td>5.136364</td>\n",
       "      <td>2.801049e-07</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>chr17</td>\n",
       "      <td>59803137</td>\n",
       "      <td>59803791</td>\n",
       "      <td>chr17</td>\n",
       "      <td>59707191</td>\n",
       "      <td>59842255</td>\n",
       "      <td>VMP1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr17-59837523-59838048</th>\n",
       "      <td>29.197649</td>\n",
       "      <td>1.862794</td>\n",
       "      <td>0.379661</td>\n",
       "      <td>4.906469</td>\n",
       "      <td>9.273080e-07</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>chr17</td>\n",
       "      <td>59837523</td>\n",
       "      <td>59838048</td>\n",
       "      <td>chr17</td>\n",
       "      <td>59707191</td>\n",
       "      <td>59842255</td>\n",
       "      <td>VMP1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr17-60573514-60573938</th>\n",
       "      <td>14.885178</td>\n",
       "      <td>2.305686</td>\n",
       "      <td>0.471352</td>\n",
       "      <td>4.891641</td>\n",
       "      <td>9.999851e-07</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>chr17</td>\n",
       "      <td>60573514</td>\n",
       "      <td>60573938</td>\n",
       "      <td>chr17</td>\n",
       "      <td>60564546</td>\n",
       "      <td>60586623</td>\n",
       "      <td>RP11-15E18.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr2-38057998-38058491</th>\n",
       "      <td>20.289347</td>\n",
       "      <td>2.188373</td>\n",
       "      <td>0.416174</td>\n",
       "      <td>5.258308</td>\n",
       "      <td>1.453865e-07</td>\n",
       "      <td>0.000112</td>\n",
       "      <td>chr2</td>\n",
       "      <td>38057998</td>\n",
       "      <td>38058491</td>\n",
       "      <td>chr2</td>\n",
       "      <td>37923186</td>\n",
       "      <td>38067142</td>\n",
       "      <td>RMDN2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr2-38057998-38058491</th>\n",
       "      <td>20.289347</td>\n",
       "      <td>2.188373</td>\n",
       "      <td>0.416174</td>\n",
       "      <td>5.258308</td>\n",
       "      <td>1.453865e-07</td>\n",
       "      <td>0.000112</td>\n",
       "      <td>chr2</td>\n",
       "      <td>38057998</td>\n",
       "      <td>38058491</td>\n",
       "      <td>chr2</td>\n",
       "      <td>37949910</td>\n",
       "      <td>38067041</td>\n",
       "      <td>RMDN2-AS1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr21-16550939-16552051</th>\n",
       "      <td>69.653152</td>\n",
       "      <td>1.385053</td>\n",
       "      <td>0.280383</td>\n",
       "      <td>4.939859</td>\n",
       "      <td>7.817925e-07</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>chr21</td>\n",
       "      <td>16550939</td>\n",
       "      <td>16552051</td>\n",
       "      <td>chr21</td>\n",
       "      <td>16070521</td>\n",
       "      <td>16627397</td>\n",
       "      <td>MIR99AHG</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr3-169381467-169382034</th>\n",
       "      <td>15.899516</td>\n",
       "      <td>2.506575</td>\n",
       "      <td>0.528499</td>\n",
       "      <td>4.742817</td>\n",
       "      <td>2.107668e-06</td>\n",
       "      <td>0.000631</td>\n",
       "      <td>chr3</td>\n",
       "      <td>169381467</td>\n",
       "      <td>169382034</td>\n",
       "      <td>chr3</td>\n",
       "      <td>169083498</td>\n",
       "      <td>169663618</td>\n",
       "      <td>MECOM</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr3-172749261-172749690</th>\n",
       "      <td>16.962740</td>\n",
       "      <td>2.161833</td>\n",
       "      <td>0.440705</td>\n",
       "      <td>4.905393</td>\n",
       "      <td>9.324052e-07</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>chr3</td>\n",
       "      <td>172749261</td>\n",
       "      <td>172749690</td>\n",
       "      <td>chr3</td>\n",
       "      <td>172750681</td>\n",
       "      <td>172821474</td>\n",
       "      <td>ECT2 &lt;1k</td>\n",
       "      <td>992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr5-39698904-39699735</th>\n",
       "      <td>83.341861</td>\n",
       "      <td>1.522123</td>\n",
       "      <td>0.273805</td>\n",
       "      <td>5.559157</td>\n",
       "      <td>2.710807e-08</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>chr5</td>\n",
       "      <td>39698904</td>\n",
       "      <td>39699735</td>\n",
       "      <td>chr5</td>\n",
       "      <td>39718983</td>\n",
       "      <td>39721513</td>\n",
       "      <td>INTS6P1 &gt;10k</td>\n",
       "      <td>19249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-133428057-133428679</th>\n",
       "      <td>26.866674</td>\n",
       "      <td>1.804239</td>\n",
       "      <td>0.372513</td>\n",
       "      <td>4.843430</td>\n",
       "      <td>1.276168e-06</td>\n",
       "      <td>0.000529</td>\n",
       "      <td>chr6</td>\n",
       "      <td>133428057</td>\n",
       "      <td>133428679</td>\n",
       "      <td>chr6</td>\n",
       "      <td>133240597</td>\n",
       "      <td>133532120</td>\n",
       "      <td>EYA4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-9503151-9503835</th>\n",
       "      <td>12.510648</td>\n",
       "      <td>2.452770</td>\n",
       "      <td>0.510207</td>\n",
       "      <td>4.807402</td>\n",
       "      <td>1.529042e-06</td>\n",
       "      <td>0.000529</td>\n",
       "      <td>chr6</td>\n",
       "      <td>9503151</td>\n",
       "      <td>9503835</td>\n",
       "      <td>chr6</td>\n",
       "      <td>9596109</td>\n",
       "      <td>10211608</td>\n",
       "      <td>OFCC1 &gt;10k</td>\n",
       "      <td>92275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-11742330-11743241</th>\n",
       "      <td>71.176579</td>\n",
       "      <td>1.600041</td>\n",
       "      <td>0.295661</td>\n",
       "      <td>5.411739</td>\n",
       "      <td>6.241571e-08</td>\n",
       "      <td>0.000067</td>\n",
       "      <td>chr7</td>\n",
       "      <td>11742330</td>\n",
       "      <td>11743241</td>\n",
       "      <td>chr7</td>\n",
       "      <td>11370356</td>\n",
       "      <td>11832198</td>\n",
       "      <td>THSD7A</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-117435445-117435860</th>\n",
       "      <td>12.722230</td>\n",
       "      <td>2.407187</td>\n",
       "      <td>0.500663</td>\n",
       "      <td>4.807998</td>\n",
       "      <td>1.524494e-06</td>\n",
       "      <td>0.000529</td>\n",
       "      <td>chr7</td>\n",
       "      <td>117435445</td>\n",
       "      <td>117435860</td>\n",
       "      <td>chr7</td>\n",
       "      <td>117439981</td>\n",
       "      <td>117440780</td>\n",
       "      <td>AC003045.1 &lt;5k</td>\n",
       "      <td>4122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-14108024-14108385</th>\n",
       "      <td>27.240080</td>\n",
       "      <td>1.783940</td>\n",
       "      <td>0.375285</td>\n",
       "      <td>4.753561</td>\n",
       "      <td>1.998649e-06</td>\n",
       "      <td>0.000631</td>\n",
       "      <td>chr9</td>\n",
       "      <td>14108024</td>\n",
       "      <td>14108385</td>\n",
       "      <td>chr9</td>\n",
       "      <td>14081842</td>\n",
       "      <td>14398983</td>\n",
       "      <td>NFIB</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-3922775-3923483</th>\n",
       "      <td>28.531999</td>\n",
       "      <td>2.033537</td>\n",
       "      <td>0.383275</td>\n",
       "      <td>5.305680</td>\n",
       "      <td>1.122534e-07</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>chr9</td>\n",
       "      <td>3922775</td>\n",
       "      <td>3923483</td>\n",
       "      <td>chr9</td>\n",
       "      <td>3824126</td>\n",
       "      <td>4348392</td>\n",
       "      <td>GLIS3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr10-61747250-61747740   28.984787        2.349714  0.391226  6.006028   \n",
       "chr10-61898371-61899049   51.614749        1.869547  0.297456  6.285118   \n",
       "chr15-35427431-35427774   22.986699        2.256413  0.416006  5.423997   \n",
       "chr15-71501770-71502487   45.615056        1.649628  0.343514  4.802214   \n",
       "chr17-59803137-59803791   28.691769        1.881193  0.366250  5.136364   \n",
       "chr17-59837523-59838048   29.197649        1.862794  0.379661  4.906469   \n",
       "chr17-60573514-60573938   14.885178        2.305686  0.471352  4.891641   \n",
       "chr2-38057998-38058491    20.289347        2.188373  0.416174  5.258308   \n",
       "chr2-38057998-38058491    20.289347        2.188373  0.416174  5.258308   \n",
       "chr21-16550939-16552051   69.653152        1.385053  0.280383  4.939859   \n",
       "chr3-169381467-169382034  15.899516        2.506575  0.528499  4.742817   \n",
       "chr3-172749261-172749690  16.962740        2.161833  0.440705  4.905393   \n",
       "chr5-39698904-39699735    83.341861        1.522123  0.273805  5.559157   \n",
       "chr6-133428057-133428679  26.866674        1.804239  0.372513  4.843430   \n",
       "chr6-9503151-9503835      12.510648        2.452770  0.510207  4.807402   \n",
       "chr7-11742330-11743241    71.176579        1.600041  0.295661  5.411739   \n",
       "chr7-117435445-117435860  12.722230        2.407187  0.500663  4.807998   \n",
       "chr9-14108024-14108385    27.240080        1.783940  0.375285  4.753561   \n",
       "chr9-3922775-3923483      28.531999        2.033537  0.383275  5.305680   \n",
       "\n",
       "                                pvalue      padj chrom_peak  start_peak  \\\n",
       "chr10-61747250-61747740   1.901234e-09  0.000005      chr10    61747250   \n",
       "chr10-61898371-61899049   3.276043e-10  0.000002      chr10    61898371   \n",
       "chr15-35427431-35427774   5.828101e-08  0.000067      chr15    35427431   \n",
       "chr15-71501770-71502487   1.569208e-06  0.000529      chr15    71501770   \n",
       "chr17-59803137-59803791   2.801049e-07  0.000189      chr17    59803137   \n",
       "chr17-59837523-59838048   9.273080e-07  0.000449      chr17    59837523   \n",
       "chr17-60573514-60573938   9.999851e-07  0.000449      chr17    60573514   \n",
       "chr2-38057998-38058491    1.453865e-07  0.000112       chr2    38057998   \n",
       "chr2-38057998-38058491    1.453865e-07  0.000112       chr2    38057998   \n",
       "chr21-16550939-16552051   7.817925e-07  0.000449      chr21    16550939   \n",
       "chr3-169381467-169382034  2.107668e-06  0.000631       chr3   169381467   \n",
       "chr3-172749261-172749690  9.324052e-07  0.000449       chr3   172749261   \n",
       "chr5-39698904-39699735    2.710807e-08  0.000049       chr5    39698904   \n",
       "chr6-133428057-133428679  1.276168e-06  0.000529       chr6   133428057   \n",
       "chr6-9503151-9503835      1.529042e-06  0.000529       chr6     9503151   \n",
       "chr7-11742330-11743241    6.241571e-08  0.000067       chr7    11742330   \n",
       "chr7-117435445-117435860  1.524494e-06  0.000529       chr7   117435445   \n",
       "chr9-14108024-14108385    1.998649e-06  0.000631       chr9    14108024   \n",
       "chr9-3922775-3923483      1.122534e-07  0.000101       chr9     3922775   \n",
       "\n",
       "                           end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr10-61747250-61747740    61747740      chr10    61662960   61766766   \n",
       "chr10-61898371-61899049    61899049      chr10    61901299   62096944   \n",
       "chr15-35427431-35427774    35427774      chr15    35217344   35546193   \n",
       "chr15-71501770-71502487    71502487      chr15    71096951   71783383   \n",
       "chr17-59803137-59803791    59803791      chr17    59707191   59842255   \n",
       "chr17-59837523-59838048    59838048      chr17    59707191   59842255   \n",
       "chr17-60573514-60573938    60573938      chr17    60564546   60586623   \n",
       "chr2-38057998-38058491     38058491       chr2    37923186   38067142   \n",
       "chr2-38057998-38058491     38058491       chr2    37949910   38067041   \n",
       "chr21-16550939-16552051    16552051      chr21    16070521   16627397   \n",
       "chr3-169381467-169382034  169382034       chr3   169083498  169663618   \n",
       "chr3-172749261-172749690  172749690       chr3   172750681  172821474   \n",
       "chr5-39698904-39699735     39699735       chr5    39718983   39721513   \n",
       "chr6-133428057-133428679  133428679       chr6   133240597  133532120   \n",
       "chr6-9503151-9503835        9503835       chr6     9596109   10211608   \n",
       "chr7-11742330-11743241     11743241       chr7    11370356   11832198   \n",
       "chr7-117435445-117435860  117435860       chr7   117439981  117440780   \n",
       "chr9-14108024-14108385     14108385       chr9    14081842   14398983   \n",
       "chr9-3922775-3923483        3923483       chr9     3824126    4348392   \n",
       "\n",
       "                               gene_name  distance  \n",
       "chr10-61747250-61747740       C10orf107          0  \n",
       "chr10-61898371-61899049       ARID5B <5k      2251  \n",
       "chr15-35427431-35427774            DPH6          0  \n",
       "chr15-71501770-71502487           THSD4          0  \n",
       "chr17-59803137-59803791            VMP1          0  \n",
       "chr17-59837523-59838048            VMP1          0  \n",
       "chr17-60573514-60573938    RP11-15E18.4          0  \n",
       "chr2-38057998-38058491            RMDN2          0  \n",
       "chr2-38057998-38058491        RMDN2-AS1          0  \n",
       "chr21-16550939-16552051        MIR99AHG          0  \n",
       "chr3-169381467-169382034          MECOM          0  \n",
       "chr3-172749261-172749690        ECT2 <1k       992  \n",
       "chr5-39698904-39699735      INTS6P1 >10k     19249  \n",
       "chr6-133428057-133428679           EYA4          0  \n",
       "chr6-9503151-9503835          OFCC1 >10k     92275  \n",
       "chr7-11742330-11743241           THSD7A          0  \n",
       "chr7-117435445-117435860  AC003045.1 <5k      4122  \n",
       "chr9-14108024-14108385             NFIB          0  \n",
       "chr9-3922775-3923483              GLIS3          0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== THZ531_vs_DMSO ======\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "      <th>chrom_peak</th>\n",
       "      <th>start_peak</th>\n",
       "      <th>end_peak</th>\n",
       "      <th>chrom_gene</th>\n",
       "      <th>start_gene</th>\n",
       "      <th>end_gene</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>chr1-12478001-12478672</th>\n",
       "      <td>68.668035</td>\n",
       "      <td>-1.174256</td>\n",
       "      <td>0.246947</td>\n",
       "      <td>-4.755088</td>\n",
       "      <td>1.983597e-06</td>\n",
       "      <td>1.028030e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12478001</td>\n",
       "      <td>12478672</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12230066</td>\n",
       "      <td>12512047</td>\n",
       "      <td>VPS13D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12485475-12485969</th>\n",
       "      <td>35.448391</td>\n",
       "      <td>-1.332852</td>\n",
       "      <td>0.308736</td>\n",
       "      <td>-4.317120</td>\n",
       "      <td>1.580783e-05</td>\n",
       "      <td>4.393924e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12485475</td>\n",
       "      <td>12485969</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12230066</td>\n",
       "      <td>12512047</td>\n",
       "      <td>VPS13D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-12540012-12540694</th>\n",
       "      <td>62.686958</td>\n",
       "      <td>-1.120551</td>\n",
       "      <td>0.265047</td>\n",
       "      <td>-4.227738</td>\n",
       "      <td>2.360522e-05</td>\n",
       "      <td>5.978592e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12540012</td>\n",
       "      <td>12540694</td>\n",
       "      <td>chr1</td>\n",
       "      <td>12527723</td>\n",
       "      <td>12528420</td>\n",
       "      <td>RP5-888M10.2 &gt;10k</td>\n",
       "      <td>-11593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-151988449-151988793</th>\n",
       "      <td>9.839720</td>\n",
       "      <td>2.121266</td>\n",
       "      <td>0.507165</td>\n",
       "      <td>4.182593</td>\n",
       "      <td>2.882024e-05</td>\n",
       "      <td>6.745531e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>151988449</td>\n",
       "      <td>151988793</td>\n",
       "      <td>chr1</td>\n",
       "      <td>151982914</td>\n",
       "      <td>151994390</td>\n",
       "      <td>S100A10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-168756036-168756459</th>\n",
       "      <td>9.876971</td>\n",
       "      <td>-2.561902</td>\n",
       "      <td>0.519705</td>\n",
       "      <td>-4.929536</td>\n",
       "      <td>8.242507e-07</td>\n",
       "      <td>5.436843e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>168756036</td>\n",
       "      <td>168756459</td>\n",
       "      <td>chr1</td>\n",
       "      <td>168763364</td>\n",
       "      <td>168774490</td>\n",
       "      <td>RP1-10C16.1 &lt;10k</td>\n",
       "      <td>6906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-181810093-181810479</th>\n",
       "      <td>9.607437</td>\n",
       "      <td>-2.118444</td>\n",
       "      <td>0.511541</td>\n",
       "      <td>-4.141296</td>\n",
       "      <td>3.453496e-05</td>\n",
       "      <td>7.677457e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>181810093</td>\n",
       "      <td>181810479</td>\n",
       "      <td>chr1</td>\n",
       "      <td>181413101</td>\n",
       "      <td>181808084</td>\n",
       "      <td>CACNA1E &lt;5k</td>\n",
       "      <td>-2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-187908712-187909286</th>\n",
       "      <td>23.596416</td>\n",
       "      <td>-1.715021</td>\n",
       "      <td>0.372867</td>\n",
       "      <td>-4.599548</td>\n",
       "      <td>4.234080e-06</td>\n",
       "      <td>1.783293e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>187908712</td>\n",
       "      <td>187909286</td>\n",
       "      <td>chr1</td>\n",
       "      <td>188067297</td>\n",
       "      <td>188067525</td>\n",
       "      <td>RP11-134C1.1 &gt;10k</td>\n",
       "      <td>158012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-188617064-188617582</th>\n",
       "      <td>30.136380</td>\n",
       "      <td>-1.587375</td>\n",
       "      <td>0.334876</td>\n",
       "      <td>-4.740192</td>\n",
       "      <td>2.135163e-06</td>\n",
       "      <td>1.063827e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>188617064</td>\n",
       "      <td>188617582</td>\n",
       "      <td>chr1</td>\n",
       "      <td>188671352</td>\n",
       "      <td>188671759</td>\n",
       "      <td>RP11-669M2.2 &gt;10k</td>\n",
       "      <td>53771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-190425509-190425978</th>\n",
       "      <td>8.363170</td>\n",
       "      <td>-2.681521</td>\n",
       "      <td>0.541674</td>\n",
       "      <td>-4.950431</td>\n",
       "      <td>7.404943e-07</td>\n",
       "      <td>5.014628e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>190425509</td>\n",
       "      <td>190425978</td>\n",
       "      <td>chr1</td>\n",
       "      <td>190097661</td>\n",
       "      <td>190477629</td>\n",
       "      <td>BRINP3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-198890522-198890930</th>\n",
       "      <td>9.719293</td>\n",
       "      <td>2.046707</td>\n",
       "      <td>0.492970</td>\n",
       "      <td>4.151789</td>\n",
       "      <td>3.298864e-05</td>\n",
       "      <td>7.381026e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>198890522</td>\n",
       "      <td>198890930</td>\n",
       "      <td>chr1</td>\n",
       "      <td>198807492</td>\n",
       "      <td>198937429</td>\n",
       "      <td>MIR181A1HG</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-205301337-205301869</th>\n",
       "      <td>25.656294</td>\n",
       "      <td>-1.441268</td>\n",
       "      <td>0.349175</td>\n",
       "      <td>-4.127641</td>\n",
       "      <td>3.665038e-05</td>\n",
       "      <td>7.989154e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>205301337</td>\n",
       "      <td>205301869</td>\n",
       "      <td>chr1</td>\n",
       "      <td>205302058</td>\n",
       "      <td>205321755</td>\n",
       "      <td>NUAK2 &lt;1k</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-205444869-205445209</th>\n",
       "      <td>12.769856</td>\n",
       "      <td>-2.178446</td>\n",
       "      <td>0.491075</td>\n",
       "      <td>-4.436075</td>\n",
       "      <td>9.161390e-06</td>\n",
       "      <td>3.090871e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>205444869</td>\n",
       "      <td>205445209</td>\n",
       "      <td>chr1</td>\n",
       "      <td>205381377</td>\n",
       "      <td>205457091</td>\n",
       "      <td>LEMD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-205449886-205450584</th>\n",
       "      <td>20.754250</td>\n",
       "      <td>-1.793398</td>\n",
       "      <td>0.369878</td>\n",
       "      <td>-4.848618</td>\n",
       "      <td>1.243243e-06</td>\n",
       "      <td>7.428745e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>205449886</td>\n",
       "      <td>205450584</td>\n",
       "      <td>chr1</td>\n",
       "      <td>205381377</td>\n",
       "      <td>205457091</td>\n",
       "      <td>LEMD1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-222888513-222888842</th>\n",
       "      <td>6.167298</td>\n",
       "      <td>2.678935</td>\n",
       "      <td>0.587884</td>\n",
       "      <td>4.556909</td>\n",
       "      <td>5.191190e-06</td>\n",
       "      <td>2.043880e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>222888513</td>\n",
       "      <td>222888842</td>\n",
       "      <td>chr1</td>\n",
       "      <td>222815063</td>\n",
       "      <td>222994906</td>\n",
       "      <td>RP11-455P21.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-222888513-222888842</th>\n",
       "      <td>6.167298</td>\n",
       "      <td>2.678935</td>\n",
       "      <td>0.587884</td>\n",
       "      <td>4.556909</td>\n",
       "      <td>5.191190e-06</td>\n",
       "      <td>2.043880e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>222888513</td>\n",
       "      <td>222888842</td>\n",
       "      <td>chr1</td>\n",
       "      <td>222872270</td>\n",
       "      <td>223005995</td>\n",
       "      <td>DISP1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-234918623-234919026</th>\n",
       "      <td>11.114123</td>\n",
       "      <td>-2.365961</td>\n",
       "      <td>0.497886</td>\n",
       "      <td>-4.752010</td>\n",
       "      <td>2.014043e-06</td>\n",
       "      <td>1.033265e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>234918623</td>\n",
       "      <td>234919026</td>\n",
       "      <td>chr1</td>\n",
       "      <td>234904185</td>\n",
       "      <td>234904488</td>\n",
       "      <td>RN7SL668P &gt;10k</td>\n",
       "      <td>-14136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-23554502-23555267</th>\n",
       "      <td>36.815043</td>\n",
       "      <td>-1.458066</td>\n",
       "      <td>0.318237</td>\n",
       "      <td>-4.581700</td>\n",
       "      <td>4.612105e-06</td>\n",
       "      <td>1.865586e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>23554502</td>\n",
       "      <td>23555267</td>\n",
       "      <td>chr1</td>\n",
       "      <td>23557917</td>\n",
       "      <td>23559794</td>\n",
       "      <td>ID3 &lt;5k</td>\n",
       "      <td>2651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-241107385-241107900</th>\n",
       "      <td>17.759995</td>\n",
       "      <td>-2.728834</td>\n",
       "      <td>0.441877</td>\n",
       "      <td>-6.175545</td>\n",
       "      <td>6.593548e-10</td>\n",
       "      <td>3.044421e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>241107385</td>\n",
       "      <td>241107900</td>\n",
       "      <td>chr1</td>\n",
       "      <td>240775513</td>\n",
       "      <td>241357230</td>\n",
       "      <td>RGS7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-43052981-43053511</th>\n",
       "      <td>9.782659</td>\n",
       "      <td>2.104025</td>\n",
       "      <td>0.494244</td>\n",
       "      <td>4.257058</td>\n",
       "      <td>2.071343e-05</td>\n",
       "      <td>5.395051e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>43052981</td>\n",
       "      <td>43053511</td>\n",
       "      <td>chr1</td>\n",
       "      <td>43104085</td>\n",
       "      <td>43104497</td>\n",
       "      <td>RP3-393B19.1 &gt;10k</td>\n",
       "      <td>50575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-79585734-79586092</th>\n",
       "      <td>6.537815</td>\n",
       "      <td>2.277619</td>\n",
       "      <td>0.560944</td>\n",
       "      <td>4.060335</td>\n",
       "      <td>4.900244e-05</td>\n",
       "      <td>9.876325e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>79585734</td>\n",
       "      <td>79586092</td>\n",
       "      <td>chr1</td>\n",
       "      <td>79521079</td>\n",
       "      <td>79522203</td>\n",
       "      <td>ADH5P2 &gt;10k</td>\n",
       "      <td>-63532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-79663720-79664316</th>\n",
       "      <td>23.204900</td>\n",
       "      <td>2.305854</td>\n",
       "      <td>0.372791</td>\n",
       "      <td>6.185378</td>\n",
       "      <td>6.195383e-10</td>\n",
       "      <td>3.044421e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>79663720</td>\n",
       "      <td>79664316</td>\n",
       "      <td>chr1</td>\n",
       "      <td>79521079</td>\n",
       "      <td>79522203</td>\n",
       "      <td>ADH5P2 &gt;10k</td>\n",
       "      <td>-141518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-81922993-81923353</th>\n",
       "      <td>8.316286</td>\n",
       "      <td>2.207877</td>\n",
       "      <td>0.518490</td>\n",
       "      <td>4.258279</td>\n",
       "      <td>2.060072e-05</td>\n",
       "      <td>5.395051e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>81922993</td>\n",
       "      <td>81923353</td>\n",
       "      <td>chr1</td>\n",
       "      <td>81306159</td>\n",
       "      <td>81992436</td>\n",
       "      <td>LPHN2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-89719614-89720148</th>\n",
       "      <td>8.831557</td>\n",
       "      <td>2.355101</td>\n",
       "      <td>0.524562</td>\n",
       "      <td>4.489649</td>\n",
       "      <td>7.134066e-06</td>\n",
       "      <td>2.588137e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>89719614</td>\n",
       "      <td>89720148</td>\n",
       "      <td>chr1</td>\n",
       "      <td>89633071</td>\n",
       "      <td>89769903</td>\n",
       "      <td>LRRC8C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-89719614-89720148</th>\n",
       "      <td>8.831557</td>\n",
       "      <td>2.355101</td>\n",
       "      <td>0.524562</td>\n",
       "      <td>4.489649</td>\n",
       "      <td>7.134066e-06</td>\n",
       "      <td>2.588137e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>89719614</td>\n",
       "      <td>89720148</td>\n",
       "      <td>chr1</td>\n",
       "      <td>89633139</td>\n",
       "      <td>89933250</td>\n",
       "      <td>RP11-302M6.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-98003331-98003783</th>\n",
       "      <td>22.674302</td>\n",
       "      <td>-1.803013</td>\n",
       "      <td>0.374160</td>\n",
       "      <td>-4.818834</td>\n",
       "      <td>1.443997e-06</td>\n",
       "      <td>8.429957e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>98003331</td>\n",
       "      <td>98003783</td>\n",
       "      <td>chr1</td>\n",
       "      <td>97987999</td>\n",
       "      <td>98049863</td>\n",
       "      <td>MIR137HG</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-98264707-98265270</th>\n",
       "      <td>21.383370</td>\n",
       "      <td>-2.599704</td>\n",
       "      <td>0.418157</td>\n",
       "      <td>-6.217055</td>\n",
       "      <td>5.065711e-10</td>\n",
       "      <td>2.858749e-07</td>\n",
       "      <td>chr1</td>\n",
       "      <td>98264707</td>\n",
       "      <td>98265270</td>\n",
       "      <td>chr1</td>\n",
       "      <td>98210746</td>\n",
       "      <td>98272658</td>\n",
       "      <td>RP5-1070A16.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-106816370-106817142</th>\n",
       "      <td>44.991555</td>\n",
       "      <td>-1.207434</td>\n",
       "      <td>0.291597</td>\n",
       "      <td>-4.140759</td>\n",
       "      <td>3.461582e-05</td>\n",
       "      <td>7.677457e-04</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106816370</td>\n",
       "      <td>106817142</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106573662</td>\n",
       "      <td>107164534</td>\n",
       "      <td>SORCS1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-106980477-106981236</th>\n",
       "      <td>53.528703</td>\n",
       "      <td>-1.687851</td>\n",
       "      <td>0.293013</td>\n",
       "      <td>-5.760330</td>\n",
       "      <td>8.394971e-09</td>\n",
       "      <td>1.776586e-06</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106980477</td>\n",
       "      <td>106981236</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106573662</td>\n",
       "      <td>107164534</td>\n",
       "      <td>SORCS1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-106982501-106982888</th>\n",
       "      <td>17.061049</td>\n",
       "      <td>-1.844784</td>\n",
       "      <td>0.421221</td>\n",
       "      <td>-4.379607</td>\n",
       "      <td>1.188937e-05</td>\n",
       "      <td>3.617642e-04</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106982501</td>\n",
       "      <td>106982888</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106573662</td>\n",
       "      <td>107164534</td>\n",
       "      <td>SORCS1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-107262895-107263473</th>\n",
       "      <td>33.138850</td>\n",
       "      <td>-1.444908</td>\n",
       "      <td>0.330931</td>\n",
       "      <td>-4.366192</td>\n",
       "      <td>1.264315e-05</td>\n",
       "      <td>3.755236e-04</td>\n",
       "      <td>chr10</td>\n",
       "      <td>107262895</td>\n",
       "      <td>107263473</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106573662</td>\n",
       "      <td>107164534</td>\n",
       "      <td>SORCS1 &gt;10k</td>\n",
       "      <td>-98362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-81331297-81331671</th>\n",
       "      <td>7.987578</td>\n",
       "      <td>2.456264</td>\n",
       "      <td>0.546544</td>\n",
       "      <td>4.494175</td>\n",
       "      <td>6.984024e-06</td>\n",
       "      <td>2.579529e-04</td>\n",
       "      <td>chr7</td>\n",
       "      <td>81331297</td>\n",
       "      <td>81331671</td>\n",
       "      <td>chr7</td>\n",
       "      <td>81335105</td>\n",
       "      <td>81335183</td>\n",
       "      <td>AC004866.1 &lt;5k</td>\n",
       "      <td>3435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-85054417-85054770</th>\n",
       "      <td>9.861532</td>\n",
       "      <td>2.147213</td>\n",
       "      <td>0.520735</td>\n",
       "      <td>4.123430</td>\n",
       "      <td>3.732713e-05</td>\n",
       "      <td>8.101901e-04</td>\n",
       "      <td>chr7</td>\n",
       "      <td>85054417</td>\n",
       "      <td>85054770</td>\n",
       "      <td>chr7</td>\n",
       "      <td>84995552</td>\n",
       "      <td>85186855</td>\n",
       "      <td>SEMA3D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-85292713-85293212</th>\n",
       "      <td>16.136470</td>\n",
       "      <td>-2.224213</td>\n",
       "      <td>0.440204</td>\n",
       "      <td>-5.052690</td>\n",
       "      <td>4.356302e-07</td>\n",
       "      <td>3.498514e-05</td>\n",
       "      <td>chr7</td>\n",
       "      <td>85292713</td>\n",
       "      <td>85293212</td>\n",
       "      <td>chr7</td>\n",
       "      <td>85381117</td>\n",
       "      <td>85381375</td>\n",
       "      <td>DYNLL1P7 &gt;10k</td>\n",
       "      <td>87906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-102590919-102591303</th>\n",
       "      <td>10.753661</td>\n",
       "      <td>2.217692</td>\n",
       "      <td>0.484109</td>\n",
       "      <td>4.580974</td>\n",
       "      <td>4.628152e-06</td>\n",
       "      <td>1.865586e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>102590919</td>\n",
       "      <td>102591303</td>\n",
       "      <td>chr8</td>\n",
       "      <td>102551571</td>\n",
       "      <td>102561017</td>\n",
       "      <td>ODF1 &gt;10k</td>\n",
       "      <td>-29903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-105321610-105322280</th>\n",
       "      <td>7.946833</td>\n",
       "      <td>2.235001</td>\n",
       "      <td>0.527947</td>\n",
       "      <td>4.233382</td>\n",
       "      <td>2.302035e-05</td>\n",
       "      <td>5.935043e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>105321610</td>\n",
       "      <td>105322280</td>\n",
       "      <td>chr8</td>\n",
       "      <td>104590732</td>\n",
       "      <td>105804532</td>\n",
       "      <td>ZFPM2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-105584553-105585044</th>\n",
       "      <td>9.088422</td>\n",
       "      <td>2.704023</td>\n",
       "      <td>0.535161</td>\n",
       "      <td>5.052728</td>\n",
       "      <td>4.355433e-07</td>\n",
       "      <td>3.498514e-05</td>\n",
       "      <td>chr8</td>\n",
       "      <td>105584553</td>\n",
       "      <td>105585044</td>\n",
       "      <td>chr8</td>\n",
       "      <td>104590732</td>\n",
       "      <td>105804532</td>\n",
       "      <td>ZFPM2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-111877620-111878032</th>\n",
       "      <td>6.571210</td>\n",
       "      <td>2.472562</td>\n",
       "      <td>0.568410</td>\n",
       "      <td>4.349961</td>\n",
       "      <td>1.361618e-05</td>\n",
       "      <td>3.974517e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>111877620</td>\n",
       "      <td>111878032</td>\n",
       "      <td>chr8</td>\n",
       "      <td>111742011</td>\n",
       "      <td>111756826</td>\n",
       "      <td>RP11-58O3.2 &gt;10k</td>\n",
       "      <td>-120795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-111889040-111889738</th>\n",
       "      <td>17.769068</td>\n",
       "      <td>1.795193</td>\n",
       "      <td>0.395726</td>\n",
       "      <td>4.536455</td>\n",
       "      <td>5.720768e-06</td>\n",
       "      <td>2.217998e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>111889040</td>\n",
       "      <td>111889738</td>\n",
       "      <td>chr8</td>\n",
       "      <td>111742011</td>\n",
       "      <td>111756826</td>\n",
       "      <td>RP11-58O3.2 &gt;10k</td>\n",
       "      <td>-132215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-126423667-126424077</th>\n",
       "      <td>20.770155</td>\n",
       "      <td>-1.730085</td>\n",
       "      <td>0.395395</td>\n",
       "      <td>-4.375588</td>\n",
       "      <td>1.211055e-05</td>\n",
       "      <td>3.639615e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>126423667</td>\n",
       "      <td>126424077</td>\n",
       "      <td>chr8</td>\n",
       "      <td>126474188</td>\n",
       "      <td>126492596</td>\n",
       "      <td>RP11-103H7.1 &gt;10k</td>\n",
       "      <td>50112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-13104579-13104945</th>\n",
       "      <td>7.632337</td>\n",
       "      <td>2.770709</td>\n",
       "      <td>0.555238</td>\n",
       "      <td>4.990127</td>\n",
       "      <td>6.033969e-07</td>\n",
       "      <td>4.391051e-05</td>\n",
       "      <td>chr8</td>\n",
       "      <td>13104579</td>\n",
       "      <td>13104945</td>\n",
       "      <td>chr8</td>\n",
       "      <td>13083360</td>\n",
       "      <td>13515658</td>\n",
       "      <td>DLC1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-42720468-42720910</th>\n",
       "      <td>6.625663</td>\n",
       "      <td>2.266547</td>\n",
       "      <td>0.554976</td>\n",
       "      <td>4.084045</td>\n",
       "      <td>4.425849e-05</td>\n",
       "      <td>9.137759e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>42720468</td>\n",
       "      <td>42720910</td>\n",
       "      <td>chr8</td>\n",
       "      <td>42697375</td>\n",
       "      <td>42737407</td>\n",
       "      <td>CHRNB3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-42720468-42720910</th>\n",
       "      <td>6.625663</td>\n",
       "      <td>2.266547</td>\n",
       "      <td>0.554976</td>\n",
       "      <td>4.084045</td>\n",
       "      <td>4.425849e-05</td>\n",
       "      <td>9.137759e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>42720468</td>\n",
       "      <td>42720910</td>\n",
       "      <td>chr8</td>\n",
       "      <td>42705582</td>\n",
       "      <td>42721946</td>\n",
       "      <td>RP11-412B14.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-57054924-57055268</th>\n",
       "      <td>8.648696</td>\n",
       "      <td>2.780550</td>\n",
       "      <td>0.542947</td>\n",
       "      <td>5.121214</td>\n",
       "      <td>3.035748e-07</td>\n",
       "      <td>2.705011e-05</td>\n",
       "      <td>chr8</td>\n",
       "      <td>57054924</td>\n",
       "      <td>57055268</td>\n",
       "      <td>chr8</td>\n",
       "      <td>56957932</td>\n",
       "      <td>56993844</td>\n",
       "      <td>IMPAD1 &gt;10k</td>\n",
       "      <td>-61081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-69369531-69370165</th>\n",
       "      <td>14.302086</td>\n",
       "      <td>2.018545</td>\n",
       "      <td>0.431631</td>\n",
       "      <td>4.676550</td>\n",
       "      <td>2.917418e-06</td>\n",
       "      <td>1.347052e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>69369531</td>\n",
       "      <td>69370165</td>\n",
       "      <td>chr8</td>\n",
       "      <td>69425034</td>\n",
       "      <td>69448244</td>\n",
       "      <td>RP11-744J10.3 &gt;10k</td>\n",
       "      <td>54870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-76947821-76948224</th>\n",
       "      <td>6.364920</td>\n",
       "      <td>-2.570755</td>\n",
       "      <td>0.584688</td>\n",
       "      <td>-4.396797</td>\n",
       "      <td>1.098602e-05</td>\n",
       "      <td>3.465715e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>76947821</td>\n",
       "      <td>76948224</td>\n",
       "      <td>chr8</td>\n",
       "      <td>76966758</td>\n",
       "      <td>76966870</td>\n",
       "      <td>AC090810.1 &gt;10k</td>\n",
       "      <td>18535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-99498623-99499262</th>\n",
       "      <td>11.993932</td>\n",
       "      <td>2.596751</td>\n",
       "      <td>0.474513</td>\n",
       "      <td>5.472450</td>\n",
       "      <td>4.438562e-08</td>\n",
       "      <td>6.092827e-06</td>\n",
       "      <td>chr8</td>\n",
       "      <td>99498623</td>\n",
       "      <td>99499262</td>\n",
       "      <td>chr8</td>\n",
       "      <td>99013265</td>\n",
       "      <td>99877580</td>\n",
       "      <td>VPS13B</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-16688724-16689133</th>\n",
       "      <td>7.383549</td>\n",
       "      <td>2.836353</td>\n",
       "      <td>0.578280</td>\n",
       "      <td>4.904808</td>\n",
       "      <td>9.351858e-07</td>\n",
       "      <td>6.007099e-05</td>\n",
       "      <td>chr9</td>\n",
       "      <td>16688724</td>\n",
       "      <td>16689133</td>\n",
       "      <td>chr9</td>\n",
       "      <td>16409502</td>\n",
       "      <td>16870843</td>\n",
       "      <td>BNC2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-82894830-82895765</th>\n",
       "      <td>30.553253</td>\n",
       "      <td>-1.577890</td>\n",
       "      <td>0.343234</td>\n",
       "      <td>-4.597128</td>\n",
       "      <td>4.283554e-06</td>\n",
       "      <td>1.783293e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>82894830</td>\n",
       "      <td>82895765</td>\n",
       "      <td>chr9</td>\n",
       "      <td>82979584</td>\n",
       "      <td>83063177</td>\n",
       "      <td>RASEF &gt;10k</td>\n",
       "      <td>83820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-82924281-82924710</th>\n",
       "      <td>21.077355</td>\n",
       "      <td>-1.627367</td>\n",
       "      <td>0.377376</td>\n",
       "      <td>-4.312322</td>\n",
       "      <td>1.615487e-05</td>\n",
       "      <td>4.459272e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>82924281</td>\n",
       "      <td>82924710</td>\n",
       "      <td>chr9</td>\n",
       "      <td>82979584</td>\n",
       "      <td>83063177</td>\n",
       "      <td>RASEF &gt;10k</td>\n",
       "      <td>54875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-90331325-90331653</th>\n",
       "      <td>7.008745</td>\n",
       "      <td>2.425096</td>\n",
       "      <td>0.558543</td>\n",
       "      <td>4.341822</td>\n",
       "      <td>1.413062e-05</td>\n",
       "      <td>4.101109e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>90331325</td>\n",
       "      <td>90331653</td>\n",
       "      <td>chr9</td>\n",
       "      <td>90300901</td>\n",
       "      <td>90433505</td>\n",
       "      <td>LINC01508</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-90333140-90333501</th>\n",
       "      <td>7.952163</td>\n",
       "      <td>2.492538</td>\n",
       "      <td>0.542183</td>\n",
       "      <td>4.597230</td>\n",
       "      <td>4.281442e-06</td>\n",
       "      <td>1.783293e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>90333140</td>\n",
       "      <td>90333501</td>\n",
       "      <td>chr9</td>\n",
       "      <td>90300901</td>\n",
       "      <td>90433505</td>\n",
       "      <td>LINC01508</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-94746563-94747019</th>\n",
       "      <td>8.092031</td>\n",
       "      <td>2.347658</td>\n",
       "      <td>0.533593</td>\n",
       "      <td>4.399716</td>\n",
       "      <td>1.083928e-05</td>\n",
       "      <td>3.458058e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>94746563</td>\n",
       "      <td>94747019</td>\n",
       "      <td>chr9</td>\n",
       "      <td>94726700</td>\n",
       "      <td>95087218</td>\n",
       "      <td>C9orf3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-94805569-94806046</th>\n",
       "      <td>11.024724</td>\n",
       "      <td>2.029400</td>\n",
       "      <td>0.465511</td>\n",
       "      <td>4.359511</td>\n",
       "      <td>1.303535e-05</td>\n",
       "      <td>3.849218e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>94805569</td>\n",
       "      <td>94806046</td>\n",
       "      <td>chr9</td>\n",
       "      <td>94726700</td>\n",
       "      <td>95087218</td>\n",
       "      <td>C9orf3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-115616819-115617278</th>\n",
       "      <td>6.455933</td>\n",
       "      <td>2.725838</td>\n",
       "      <td>0.580866</td>\n",
       "      <td>4.692711</td>\n",
       "      <td>2.696084e-06</td>\n",
       "      <td>1.279758e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>115616819</td>\n",
       "      <td>115617278</td>\n",
       "      <td>chrX</td>\n",
       "      <td>115561173</td>\n",
       "      <td>115650861</td>\n",
       "      <td>PLS3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-1225001-1225461</th>\n",
       "      <td>10.247000</td>\n",
       "      <td>2.150339</td>\n",
       "      <td>0.523022</td>\n",
       "      <td>4.111373</td>\n",
       "      <td>3.933138e-05</td>\n",
       "      <td>8.428865e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>1225001</td>\n",
       "      <td>1225461</td>\n",
       "      <td>chrX</td>\n",
       "      <td>1187548</td>\n",
       "      <td>1212750</td>\n",
       "      <td>CRLF2 &gt;10k</td>\n",
       "      <td>-12252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-125378254-125379294</th>\n",
       "      <td>68.949513</td>\n",
       "      <td>-1.205952</td>\n",
       "      <td>0.250051</td>\n",
       "      <td>-4.822822</td>\n",
       "      <td>1.415412e-06</td>\n",
       "      <td>8.359157e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>125378254</td>\n",
       "      <td>125379294</td>\n",
       "      <td>chrX</td>\n",
       "      <td>125326896</td>\n",
       "      <td>125328021</td>\n",
       "      <td>RP13-147D17.1 &gt;10k</td>\n",
       "      <td>-50234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-126550964-126551379</th>\n",
       "      <td>5.100879</td>\n",
       "      <td>-2.506691</td>\n",
       "      <td>0.610718</td>\n",
       "      <td>-4.104501</td>\n",
       "      <td>4.051893e-05</td>\n",
       "      <td>8.610697e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>126550964</td>\n",
       "      <td>126551379</td>\n",
       "      <td>chrX</td>\n",
       "      <td>126549382</td>\n",
       "      <td>126552851</td>\n",
       "      <td>DCAF12L1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-141989916-141990364</th>\n",
       "      <td>13.133847</td>\n",
       "      <td>2.314705</td>\n",
       "      <td>0.447525</td>\n",
       "      <td>5.172239</td>\n",
       "      <td>2.313051e-07</td>\n",
       "      <td>2.259228e-05</td>\n",
       "      <td>chrX</td>\n",
       "      <td>141989916</td>\n",
       "      <td>141990364</td>\n",
       "      <td>chrX</td>\n",
       "      <td>141903893</td>\n",
       "      <td>141909388</td>\n",
       "      <td>MAGEC1 &gt;10k</td>\n",
       "      <td>-80529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-28203459-28204060</th>\n",
       "      <td>32.915501</td>\n",
       "      <td>-1.305470</td>\n",
       "      <td>0.314435</td>\n",
       "      <td>-4.151802</td>\n",
       "      <td>3.298683e-05</td>\n",
       "      <td>7.381026e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>28203459</td>\n",
       "      <td>28204060</td>\n",
       "      <td>chrX</td>\n",
       "      <td>28376962</td>\n",
       "      <td>28377061</td>\n",
       "      <td>AC078988.1 &gt;10k</td>\n",
       "      <td>172903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-50969024-50969554</th>\n",
       "      <td>7.451760</td>\n",
       "      <td>-2.539625</td>\n",
       "      <td>0.567186</td>\n",
       "      <td>-4.477590</td>\n",
       "      <td>7.549056e-06</td>\n",
       "      <td>2.700116e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50969024</td>\n",
       "      <td>50969554</td>\n",
       "      <td>chrX</td>\n",
       "      <td>50931113</td>\n",
       "      <td>50931548</td>\n",
       "      <td>HMGB1P15 &gt;10k</td>\n",
       "      <td>-37477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>273 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr1-12478001-12478672     68.668035       -1.174256  0.246947 -4.755088   \n",
       "chr1-12485475-12485969     35.448391       -1.332852  0.308736 -4.317120   \n",
       "chr1-12540012-12540694     62.686958       -1.120551  0.265047 -4.227738   \n",
       "chr1-151988449-151988793    9.839720        2.121266  0.507165  4.182593   \n",
       "chr1-168756036-168756459    9.876971       -2.561902  0.519705 -4.929536   \n",
       "chr1-181810093-181810479    9.607437       -2.118444  0.511541 -4.141296   \n",
       "chr1-187908712-187909286   23.596416       -1.715021  0.372867 -4.599548   \n",
       "chr1-188617064-188617582   30.136380       -1.587375  0.334876 -4.740192   \n",
       "chr1-190425509-190425978    8.363170       -2.681521  0.541674 -4.950431   \n",
       "chr1-198890522-198890930    9.719293        2.046707  0.492970  4.151789   \n",
       "chr1-205301337-205301869   25.656294       -1.441268  0.349175 -4.127641   \n",
       "chr1-205444869-205445209   12.769856       -2.178446  0.491075 -4.436075   \n",
       "chr1-205449886-205450584   20.754250       -1.793398  0.369878 -4.848618   \n",
       "chr1-222888513-222888842    6.167298        2.678935  0.587884  4.556909   \n",
       "chr1-222888513-222888842    6.167298        2.678935  0.587884  4.556909   \n",
       "chr1-234918623-234919026   11.114123       -2.365961  0.497886 -4.752010   \n",
       "chr1-23554502-23555267     36.815043       -1.458066  0.318237 -4.581700   \n",
       "chr1-241107385-241107900   17.759995       -2.728834  0.441877 -6.175545   \n",
       "chr1-43052981-43053511      9.782659        2.104025  0.494244  4.257058   \n",
       "chr1-79585734-79586092      6.537815        2.277619  0.560944  4.060335   \n",
       "chr1-79663720-79664316     23.204900        2.305854  0.372791  6.185378   \n",
       "chr1-81922993-81923353      8.316286        2.207877  0.518490  4.258279   \n",
       "chr1-89719614-89720148      8.831557        2.355101  0.524562  4.489649   \n",
       "chr1-89719614-89720148      8.831557        2.355101  0.524562  4.489649   \n",
       "chr1-98003331-98003783     22.674302       -1.803013  0.374160 -4.818834   \n",
       "chr1-98264707-98265270     21.383370       -2.599704  0.418157 -6.217055   \n",
       "chr10-106816370-106817142  44.991555       -1.207434  0.291597 -4.140759   \n",
       "chr10-106980477-106981236  53.528703       -1.687851  0.293013 -5.760330   \n",
       "chr10-106982501-106982888  17.061049       -1.844784  0.421221 -4.379607   \n",
       "chr10-107262895-107263473  33.138850       -1.444908  0.330931 -4.366192   \n",
       "...                              ...             ...       ...       ...   \n",
       "chr7-81331297-81331671      7.987578        2.456264  0.546544  4.494175   \n",
       "chr7-85054417-85054770      9.861532        2.147213  0.520735  4.123430   \n",
       "chr7-85292713-85293212     16.136470       -2.224213  0.440204 -5.052690   \n",
       "chr8-102590919-102591303   10.753661        2.217692  0.484109  4.580974   \n",
       "chr8-105321610-105322280    7.946833        2.235001  0.527947  4.233382   \n",
       "chr8-105584553-105585044    9.088422        2.704023  0.535161  5.052728   \n",
       "chr8-111877620-111878032    6.571210        2.472562  0.568410  4.349961   \n",
       "chr8-111889040-111889738   17.769068        1.795193  0.395726  4.536455   \n",
       "chr8-126423667-126424077   20.770155       -1.730085  0.395395 -4.375588   \n",
       "chr8-13104579-13104945      7.632337        2.770709  0.555238  4.990127   \n",
       "chr8-42720468-42720910      6.625663        2.266547  0.554976  4.084045   \n",
       "chr8-42720468-42720910      6.625663        2.266547  0.554976  4.084045   \n",
       "chr8-57054924-57055268      8.648696        2.780550  0.542947  5.121214   \n",
       "chr8-69369531-69370165     14.302086        2.018545  0.431631  4.676550   \n",
       "chr8-76947821-76948224      6.364920       -2.570755  0.584688 -4.396797   \n",
       "chr8-99498623-99499262     11.993932        2.596751  0.474513  5.472450   \n",
       "chr9-16688724-16689133      7.383549        2.836353  0.578280  4.904808   \n",
       "chr9-82894830-82895765     30.553253       -1.577890  0.343234 -4.597128   \n",
       "chr9-82924281-82924710     21.077355       -1.627367  0.377376 -4.312322   \n",
       "chr9-90331325-90331653      7.008745        2.425096  0.558543  4.341822   \n",
       "chr9-90333140-90333501      7.952163        2.492538  0.542183  4.597230   \n",
       "chr9-94746563-94747019      8.092031        2.347658  0.533593  4.399716   \n",
       "chr9-94805569-94806046     11.024724        2.029400  0.465511  4.359511   \n",
       "chrX-115616819-115617278    6.455933        2.725838  0.580866  4.692711   \n",
       "chrX-1225001-1225461       10.247000        2.150339  0.523022  4.111373   \n",
       "chrX-125378254-125379294   68.949513       -1.205952  0.250051 -4.822822   \n",
       "chrX-126550964-126551379    5.100879       -2.506691  0.610718 -4.104501   \n",
       "chrX-141989916-141990364   13.133847        2.314705  0.447525  5.172239   \n",
       "chrX-28203459-28204060     32.915501       -1.305470  0.314435 -4.151802   \n",
       "chrX-50969024-50969554      7.451760       -2.539625  0.567186 -4.477590   \n",
       "\n",
       "                                 pvalue          padj chrom_peak  start_peak  \\\n",
       "chr1-12478001-12478672     1.983597e-06  1.028030e-04       chr1    12478001   \n",
       "chr1-12485475-12485969     1.580783e-05  4.393924e-04       chr1    12485475   \n",
       "chr1-12540012-12540694     2.360522e-05  5.978592e-04       chr1    12540012   \n",
       "chr1-151988449-151988793   2.882024e-05  6.745531e-04       chr1   151988449   \n",
       "chr1-168756036-168756459   8.242507e-07  5.436843e-05       chr1   168756036   \n",
       "chr1-181810093-181810479   3.453496e-05  7.677457e-04       chr1   181810093   \n",
       "chr1-187908712-187909286   4.234080e-06  1.783293e-04       chr1   187908712   \n",
       "chr1-188617064-188617582   2.135163e-06  1.063827e-04       chr1   188617064   \n",
       "chr1-190425509-190425978   7.404943e-07  5.014628e-05       chr1   190425509   \n",
       "chr1-198890522-198890930   3.298864e-05  7.381026e-04       chr1   198890522   \n",
       "chr1-205301337-205301869   3.665038e-05  7.989154e-04       chr1   205301337   \n",
       "chr1-205444869-205445209   9.161390e-06  3.090871e-04       chr1   205444869   \n",
       "chr1-205449886-205450584   1.243243e-06  7.428745e-05       chr1   205449886   \n",
       "chr1-222888513-222888842   5.191190e-06  2.043880e-04       chr1   222888513   \n",
       "chr1-222888513-222888842   5.191190e-06  2.043880e-04       chr1   222888513   \n",
       "chr1-234918623-234919026   2.014043e-06  1.033265e-04       chr1   234918623   \n",
       "chr1-23554502-23555267     4.612105e-06  1.865586e-04       chr1    23554502   \n",
       "chr1-241107385-241107900   6.593548e-10  3.044421e-07       chr1   241107385   \n",
       "chr1-43052981-43053511     2.071343e-05  5.395051e-04       chr1    43052981   \n",
       "chr1-79585734-79586092     4.900244e-05  9.876325e-04       chr1    79585734   \n",
       "chr1-79663720-79664316     6.195383e-10  3.044421e-07       chr1    79663720   \n",
       "chr1-81922993-81923353     2.060072e-05  5.395051e-04       chr1    81922993   \n",
       "chr1-89719614-89720148     7.134066e-06  2.588137e-04       chr1    89719614   \n",
       "chr1-89719614-89720148     7.134066e-06  2.588137e-04       chr1    89719614   \n",
       "chr1-98003331-98003783     1.443997e-06  8.429957e-05       chr1    98003331   \n",
       "chr1-98264707-98265270     5.065711e-10  2.858749e-07       chr1    98264707   \n",
       "chr10-106816370-106817142  3.461582e-05  7.677457e-04      chr10   106816370   \n",
       "chr10-106980477-106981236  8.394971e-09  1.776586e-06      chr10   106980477   \n",
       "chr10-106982501-106982888  1.188937e-05  3.617642e-04      chr10   106982501   \n",
       "chr10-107262895-107263473  1.264315e-05  3.755236e-04      chr10   107262895   \n",
       "...                                 ...           ...        ...         ...   \n",
       "chr7-81331297-81331671     6.984024e-06  2.579529e-04       chr7    81331297   \n",
       "chr7-85054417-85054770     3.732713e-05  8.101901e-04       chr7    85054417   \n",
       "chr7-85292713-85293212     4.356302e-07  3.498514e-05       chr7    85292713   \n",
       "chr8-102590919-102591303   4.628152e-06  1.865586e-04       chr8   102590919   \n",
       "chr8-105321610-105322280   2.302035e-05  5.935043e-04       chr8   105321610   \n",
       "chr8-105584553-105585044   4.355433e-07  3.498514e-05       chr8   105584553   \n",
       "chr8-111877620-111878032   1.361618e-05  3.974517e-04       chr8   111877620   \n",
       "chr8-111889040-111889738   5.720768e-06  2.217998e-04       chr8   111889040   \n",
       "chr8-126423667-126424077   1.211055e-05  3.639615e-04       chr8   126423667   \n",
       "chr8-13104579-13104945     6.033969e-07  4.391051e-05       chr8    13104579   \n",
       "chr8-42720468-42720910     4.425849e-05  9.137759e-04       chr8    42720468   \n",
       "chr8-42720468-42720910     4.425849e-05  9.137759e-04       chr8    42720468   \n",
       "chr8-57054924-57055268     3.035748e-07  2.705011e-05       chr8    57054924   \n",
       "chr8-69369531-69370165     2.917418e-06  1.347052e-04       chr8    69369531   \n",
       "chr8-76947821-76948224     1.098602e-05  3.465715e-04       chr8    76947821   \n",
       "chr8-99498623-99499262     4.438562e-08  6.092827e-06       chr8    99498623   \n",
       "chr9-16688724-16689133     9.351858e-07  6.007099e-05       chr9    16688724   \n",
       "chr9-82894830-82895765     4.283554e-06  1.783293e-04       chr9    82894830   \n",
       "chr9-82924281-82924710     1.615487e-05  4.459272e-04       chr9    82924281   \n",
       "chr9-90331325-90331653     1.413062e-05  4.101109e-04       chr9    90331325   \n",
       "chr9-90333140-90333501     4.281442e-06  1.783293e-04       chr9    90333140   \n",
       "chr9-94746563-94747019     1.083928e-05  3.458058e-04       chr9    94746563   \n",
       "chr9-94805569-94806046     1.303535e-05  3.849218e-04       chr9    94805569   \n",
       "chrX-115616819-115617278   2.696084e-06  1.279758e-04       chrX   115616819   \n",
       "chrX-1225001-1225461       3.933138e-05  8.428865e-04       chrX     1225001   \n",
       "chrX-125378254-125379294   1.415412e-06  8.359157e-05       chrX   125378254   \n",
       "chrX-126550964-126551379   4.051893e-05  8.610697e-04       chrX   126550964   \n",
       "chrX-141989916-141990364   2.313051e-07  2.259228e-05       chrX   141989916   \n",
       "chrX-28203459-28204060     3.298683e-05  7.381026e-04       chrX    28203459   \n",
       "chrX-50969024-50969554     7.549056e-06  2.700116e-04       chrX    50969024   \n",
       "\n",
       "                            end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr1-12478001-12478672      12478672       chr1    12230066   12512047   \n",
       "chr1-12485475-12485969      12485969       chr1    12230066   12512047   \n",
       "chr1-12540012-12540694      12540694       chr1    12527723   12528420   \n",
       "chr1-151988449-151988793   151988793       chr1   151982914  151994390   \n",
       "chr1-168756036-168756459   168756459       chr1   168763364  168774490   \n",
       "chr1-181810093-181810479   181810479       chr1   181413101  181808084   \n",
       "chr1-187908712-187909286   187909286       chr1   188067297  188067525   \n",
       "chr1-188617064-188617582   188617582       chr1   188671352  188671759   \n",
       "chr1-190425509-190425978   190425978       chr1   190097661  190477629   \n",
       "chr1-198890522-198890930   198890930       chr1   198807492  198937429   \n",
       "chr1-205301337-205301869   205301869       chr1   205302058  205321755   \n",
       "chr1-205444869-205445209   205445209       chr1   205381377  205457091   \n",
       "chr1-205449886-205450584   205450584       chr1   205381377  205457091   \n",
       "chr1-222888513-222888842   222888842       chr1   222815063  222994906   \n",
       "chr1-222888513-222888842   222888842       chr1   222872270  223005995   \n",
       "chr1-234918623-234919026   234919026       chr1   234904185  234904488   \n",
       "chr1-23554502-23555267      23555267       chr1    23557917   23559794   \n",
       "chr1-241107385-241107900   241107900       chr1   240775513  241357230   \n",
       "chr1-43052981-43053511      43053511       chr1    43104085   43104497   \n",
       "chr1-79585734-79586092      79586092       chr1    79521079   79522203   \n",
       "chr1-79663720-79664316      79664316       chr1    79521079   79522203   \n",
       "chr1-81922993-81923353      81923353       chr1    81306159   81992436   \n",
       "chr1-89719614-89720148      89720148       chr1    89633071   89769903   \n",
       "chr1-89719614-89720148      89720148       chr1    89633139   89933250   \n",
       "chr1-98003331-98003783      98003783       chr1    97987999   98049863   \n",
       "chr1-98264707-98265270      98265270       chr1    98210746   98272658   \n",
       "chr10-106816370-106817142  106817142      chr10   106573662  107164534   \n",
       "chr10-106980477-106981236  106981236      chr10   106573662  107164534   \n",
       "chr10-106982501-106982888  106982888      chr10   106573662  107164534   \n",
       "chr10-107262895-107263473  107263473      chr10   106573662  107164534   \n",
       "...                              ...        ...         ...        ...   \n",
       "chr7-81331297-81331671      81331671       chr7    81335105   81335183   \n",
       "chr7-85054417-85054770      85054770       chr7    84995552   85186855   \n",
       "chr7-85292713-85293212      85293212       chr7    85381117   85381375   \n",
       "chr8-102590919-102591303   102591303       chr8   102551571  102561017   \n",
       "chr8-105321610-105322280   105322280       chr8   104590732  105804532   \n",
       "chr8-105584553-105585044   105585044       chr8   104590732  105804532   \n",
       "chr8-111877620-111878032   111878032       chr8   111742011  111756826   \n",
       "chr8-111889040-111889738   111889738       chr8   111742011  111756826   \n",
       "chr8-126423667-126424077   126424077       chr8   126474188  126492596   \n",
       "chr8-13104579-13104945      13104945       chr8    13083360   13515658   \n",
       "chr8-42720468-42720910      42720910       chr8    42697375   42737407   \n",
       "chr8-42720468-42720910      42720910       chr8    42705582   42721946   \n",
       "chr8-57054924-57055268      57055268       chr8    56957932   56993844   \n",
       "chr8-69369531-69370165      69370165       chr8    69425034   69448244   \n",
       "chr8-76947821-76948224      76948224       chr8    76966758   76966870   \n",
       "chr8-99498623-99499262      99499262       chr8    99013265   99877580   \n",
       "chr9-16688724-16689133      16689133       chr9    16409502   16870843   \n",
       "chr9-82894830-82895765      82895765       chr9    82979584   83063177   \n",
       "chr9-82924281-82924710      82924710       chr9    82979584   83063177   \n",
       "chr9-90331325-90331653      90331653       chr9    90300901   90433505   \n",
       "chr9-90333140-90333501      90333501       chr9    90300901   90433505   \n",
       "chr9-94746563-94747019      94747019       chr9    94726700   95087218   \n",
       "chr9-94805569-94806046      94806046       chr9    94726700   95087218   \n",
       "chrX-115616819-115617278   115617278       chrX   115561173  115650861   \n",
       "chrX-1225001-1225461         1225461       chrX     1187548    1212750   \n",
       "chrX-125378254-125379294   125379294       chrX   125326896  125328021   \n",
       "chrX-126550964-126551379   126551379       chrX   126549382  126552851   \n",
       "chrX-141989916-141990364   141990364       chrX   141903893  141909388   \n",
       "chrX-28203459-28204060      28204060       chrX    28376962   28377061   \n",
       "chrX-50969024-50969554      50969554       chrX    50931113   50931548   \n",
       "\n",
       "                                    gene_name  distance  \n",
       "chr1-12478001-12478672                VPS13D          0  \n",
       "chr1-12485475-12485969                VPS13D          0  \n",
       "chr1-12540012-12540694      RP5-888M10.2 >10k    -11593  \n",
       "chr1-151988449-151988793             S100A10          0  \n",
       "chr1-168756036-168756459     RP1-10C16.1 <10k      6906  \n",
       "chr1-181810093-181810479          CACNA1E <5k     -2010  \n",
       "chr1-187908712-187909286    RP11-134C1.1 >10k    158012  \n",
       "chr1-188617064-188617582    RP11-669M2.2 >10k     53771  \n",
       "chr1-190425509-190425978              BRINP3          0  \n",
       "chr1-198890522-198890930          MIR181A1HG          0  \n",
       "chr1-205301337-205301869            NUAK2 <1k       190  \n",
       "chr1-205444869-205445209               LEMD1          0  \n",
       "chr1-205449886-205450584               LEMD1          0  \n",
       "chr1-222888513-222888842       RP11-455P21.3          0  \n",
       "chr1-222888513-222888842               DISP1          0  \n",
       "chr1-234918623-234919026       RN7SL668P >10k    -14136  \n",
       "chr1-23554502-23555267                ID3 <5k      2651  \n",
       "chr1-241107385-241107900                RGS7          0  \n",
       "chr1-43052981-43053511      RP3-393B19.1 >10k     50575  \n",
       "chr1-79585734-79586092            ADH5P2 >10k    -63532  \n",
       "chr1-79663720-79664316            ADH5P2 >10k   -141518  \n",
       "chr1-81922993-81923353                 LPHN2          0  \n",
       "chr1-89719614-89720148                LRRC8C          0  \n",
       "chr1-89719614-89720148          RP11-302M6.4          0  \n",
       "chr1-98003331-98003783              MIR137HG          0  \n",
       "chr1-98264707-98265270         RP5-1070A16.1          0  \n",
       "chr10-106816370-106817142             SORCS1          0  \n",
       "chr10-106980477-106981236             SORCS1          0  \n",
       "chr10-106982501-106982888             SORCS1          0  \n",
       "chr10-107262895-107263473         SORCS1 >10k    -98362  \n",
       "...                                       ...       ...  \n",
       "chr7-81331297-81331671         AC004866.1 <5k      3435  \n",
       "chr7-85054417-85054770                SEMA3D          0  \n",
       "chr7-85292713-85293212          DYNLL1P7 >10k     87906  \n",
       "chr8-102590919-102591303            ODF1 >10k    -29903  \n",
       "chr8-105321610-105322280               ZFPM2          0  \n",
       "chr8-105584553-105585044               ZFPM2          0  \n",
       "chr8-111877620-111878032     RP11-58O3.2 >10k   -120795  \n",
       "chr8-111889040-111889738     RP11-58O3.2 >10k   -132215  \n",
       "chr8-126423667-126424077    RP11-103H7.1 >10k     50112  \n",
       "chr8-13104579-13104945                  DLC1          0  \n",
       "chr8-42720468-42720910                CHRNB3          0  \n",
       "chr8-42720468-42720910         RP11-412B14.1          0  \n",
       "chr8-57054924-57055268            IMPAD1 >10k    -61081  \n",
       "chr8-69369531-69370165     RP11-744J10.3 >10k     54870  \n",
       "chr8-76947821-76948224        AC090810.1 >10k     18535  \n",
       "chr8-99498623-99499262                VPS13B          0  \n",
       "chr9-16688724-16689133                  BNC2          0  \n",
       "chr9-82894830-82895765             RASEF >10k     83820  \n",
       "chr9-82924281-82924710             RASEF >10k     54875  \n",
       "chr9-90331325-90331653             LINC01508          0  \n",
       "chr9-90333140-90333501             LINC01508          0  \n",
       "chr9-94746563-94747019                C9orf3          0  \n",
       "chr9-94805569-94806046                C9orf3          0  \n",
       "chrX-115616819-115617278                PLS3          0  \n",
       "chrX-1225001-1225461               CRLF2 >10k    -12252  \n",
       "chrX-125378254-125379294   RP13-147D17.1 >10k    -50234  \n",
       "chrX-126550964-126551379            DCAF12L1          0  \n",
       "chrX-141989916-141990364          MAGEC1 >10k    -80529  \n",
       "chrX-28203459-28204060        AC078988.1 >10k    172903  \n",
       "chrX-50969024-50969554          HMGB1P15 >10k    -37477  \n",
       "\n",
       "[273 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====== Vorinostat_vs_THZ531 ======\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>baseMean</th>\n",
       "      <th>log2FoldChange</th>\n",
       "      <th>lfcSE</th>\n",
       "      <th>stat</th>\n",
       "      <th>pvalue</th>\n",
       "      <th>padj</th>\n",
       "      <th>chrom_peak</th>\n",
       "      <th>start_peak</th>\n",
       "      <th>end_peak</th>\n",
       "      <th>chrom_gene</th>\n",
       "      <th>start_gene</th>\n",
       "      <th>end_gene</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>chr1-23554502-23555267</th>\n",
       "      <td>36.815043</td>\n",
       "      <td>1.937300</td>\n",
       "      <td>0.352638</td>\n",
       "      <td>5.493741</td>\n",
       "      <td>3.935076e-08</td>\n",
       "      <td>5.718381e-06</td>\n",
       "      <td>chr1</td>\n",
       "      <td>23554502</td>\n",
       "      <td>23555267</td>\n",
       "      <td>chr1</td>\n",
       "      <td>23557917</td>\n",
       "      <td>23559794</td>\n",
       "      <td>ID3 &lt;5k</td>\n",
       "      <td>2651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-241107385-241107900</th>\n",
       "      <td>17.759995</td>\n",
       "      <td>2.217401</td>\n",
       "      <td>0.492722</td>\n",
       "      <td>4.500304</td>\n",
       "      <td>6.785621e-06</td>\n",
       "      <td>2.552192e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>241107385</td>\n",
       "      <td>241107900</td>\n",
       "      <td>chr1</td>\n",
       "      <td>240775513</td>\n",
       "      <td>241357230</td>\n",
       "      <td>RGS7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-79663720-79664316</th>\n",
       "      <td>23.204900</td>\n",
       "      <td>-2.290959</td>\n",
       "      <td>0.456155</td>\n",
       "      <td>-5.022321</td>\n",
       "      <td>5.105073e-07</td>\n",
       "      <td>4.411059e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>79663720</td>\n",
       "      <td>79664316</td>\n",
       "      <td>chr1</td>\n",
       "      <td>79521079</td>\n",
       "      <td>79522203</td>\n",
       "      <td>ADH5P2 &gt;10k</td>\n",
       "      <td>-141518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-940087-940533</th>\n",
       "      <td>15.942722</td>\n",
       "      <td>2.632742</td>\n",
       "      <td>0.494183</td>\n",
       "      <td>5.327463</td>\n",
       "      <td>9.959398e-08</td>\n",
       "      <td>1.224623e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>940087</td>\n",
       "      <td>940533</td>\n",
       "      <td>chr1</td>\n",
       "      <td>924879</td>\n",
       "      <td>944581</td>\n",
       "      <td>SAMD11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-941679-942163</th>\n",
       "      <td>21.176376</td>\n",
       "      <td>2.192637</td>\n",
       "      <td>0.448474</td>\n",
       "      <td>4.889104</td>\n",
       "      <td>1.012961e-06</td>\n",
       "      <td>7.482269e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>941679</td>\n",
       "      <td>942163</td>\n",
       "      <td>chr1</td>\n",
       "      <td>924879</td>\n",
       "      <td>944581</td>\n",
       "      <td>SAMD11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-98003331-98003783</th>\n",
       "      <td>22.674302</td>\n",
       "      <td>1.777791</td>\n",
       "      <td>0.420681</td>\n",
       "      <td>4.225979</td>\n",
       "      <td>2.379040e-05</td>\n",
       "      <td>6.671747e-04</td>\n",
       "      <td>chr1</td>\n",
       "      <td>98003331</td>\n",
       "      <td>98003783</td>\n",
       "      <td>chr1</td>\n",
       "      <td>97987999</td>\n",
       "      <td>98049863</td>\n",
       "      <td>MIR137HG</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr1-98264707-98265270</th>\n",
       "      <td>21.383370</td>\n",
       "      <td>2.368028</td>\n",
       "      <td>0.462927</td>\n",
       "      <td>5.115339</td>\n",
       "      <td>3.131774e-07</td>\n",
       "      <td>3.128838e-05</td>\n",
       "      <td>chr1</td>\n",
       "      <td>98264707</td>\n",
       "      <td>98265270</td>\n",
       "      <td>chr1</td>\n",
       "      <td>98210746</td>\n",
       "      <td>98272658</td>\n",
       "      <td>RP5-1070A16.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-106980477-106981236</th>\n",
       "      <td>53.528703</td>\n",
       "      <td>1.431117</td>\n",
       "      <td>0.336186</td>\n",
       "      <td>4.256915</td>\n",
       "      <td>2.072674e-05</td>\n",
       "      <td>6.079211e-04</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106980477</td>\n",
       "      <td>106981236</td>\n",
       "      <td>chr10</td>\n",
       "      <td>106573662</td>\n",
       "      <td>107164534</td>\n",
       "      <td>SORCS1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-110857529-110857863</th>\n",
       "      <td>9.833362</td>\n",
       "      <td>-2.426552</td>\n",
       "      <td>0.582929</td>\n",
       "      <td>-4.162687</td>\n",
       "      <td>3.145247e-05</td>\n",
       "      <td>8.090138e-04</td>\n",
       "      <td>chr10</td>\n",
       "      <td>110857529</td>\n",
       "      <td>110857863</td>\n",
       "      <td>chr10</td>\n",
       "      <td>110869742</td>\n",
       "      <td>110871594</td>\n",
       "      <td>RP11-313D6.3 &gt;10k</td>\n",
       "      <td>11880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-120979821-120980276</th>\n",
       "      <td>45.948601</td>\n",
       "      <td>1.561263</td>\n",
       "      <td>0.342150</td>\n",
       "      <td>4.563099</td>\n",
       "      <td>5.040394e-06</td>\n",
       "      <td>2.114307e-04</td>\n",
       "      <td>chr10</td>\n",
       "      <td>120979821</td>\n",
       "      <td>120980276</td>\n",
       "      <td>chr10</td>\n",
       "      <td>120925546</td>\n",
       "      <td>120980700</td>\n",
       "      <td>RP11-95I16.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-61815474-61815897</th>\n",
       "      <td>16.380555</td>\n",
       "      <td>2.144756</td>\n",
       "      <td>0.456260</td>\n",
       "      <td>4.700738</td>\n",
       "      <td>2.592235e-06</td>\n",
       "      <td>1.255500e-04</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61815474</td>\n",
       "      <td>61815897</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61781744</td>\n",
       "      <td>61821246</td>\n",
       "      <td>RP11-491H19.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-61898371-61899049</th>\n",
       "      <td>51.614749</td>\n",
       "      <td>2.098488</td>\n",
       "      <td>0.302825</td>\n",
       "      <td>6.929701</td>\n",
       "      <td>4.217321e-12</td>\n",
       "      <td>6.021301e-09</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61898371</td>\n",
       "      <td>61899049</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61901299</td>\n",
       "      <td>62096944</td>\n",
       "      <td>ARID5B &lt;5k</td>\n",
       "      <td>2251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr10-62020173-62020779</th>\n",
       "      <td>46.102649</td>\n",
       "      <td>1.569926</td>\n",
       "      <td>0.321802</td>\n",
       "      <td>4.878549</td>\n",
       "      <td>1.068694e-06</td>\n",
       "      <td>7.482269e-05</td>\n",
       "      <td>chr10</td>\n",
       "      <td>62020173</td>\n",
       "      <td>62020779</td>\n",
       "      <td>chr10</td>\n",
       "      <td>61901299</td>\n",
       "      <td>62096944</td>\n",
       "      <td>ARID5B</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr11-103405490-103406121</th>\n",
       "      <td>50.155975</td>\n",
       "      <td>1.741827</td>\n",
       "      <td>0.319863</td>\n",
       "      <td>5.445546</td>\n",
       "      <td>5.164680e-08</td>\n",
       "      <td>7.178906e-06</td>\n",
       "      <td>chr11</td>\n",
       "      <td>103405490</td>\n",
       "      <td>103406121</td>\n",
       "      <td>chr11</td>\n",
       "      <td>103109430</td>\n",
       "      <td>103479863</td>\n",
       "      <td>DYNC2H1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr11-103405490-103406121</th>\n",
       "      <td>50.155975</td>\n",
       "      <td>1.741827</td>\n",
       "      <td>0.319863</td>\n",
       "      <td>5.445546</td>\n",
       "      <td>5.164680e-08</td>\n",
       "      <td>7.178906e-06</td>\n",
       "      <td>chr11</td>\n",
       "      <td>103405490</td>\n",
       "      <td>103406121</td>\n",
       "      <td>chr11</td>\n",
       "      <td>103404308</td>\n",
       "      <td>103405834</td>\n",
       "      <td>RP11-37O16.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr11-107791610-107792176</th>\n",
       "      <td>10.646123</td>\n",
       "      <td>-2.407907</td>\n",
       "      <td>0.580509</td>\n",
       "      <td>-4.147925</td>\n",
       "      <td>3.355027e-05</td>\n",
       "      <td>8.453377e-04</td>\n",
       "      <td>chr11</td>\n",
       "      <td>107791610</td>\n",
       "      <td>107792176</td>\n",
       "      <td>chr11</td>\n",
       "      <td>107790990</td>\n",
       "      <td>107928293</td>\n",
       "      <td>SLC35F2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr11-7612703-7613151</th>\n",
       "      <td>18.375642</td>\n",
       "      <td>-2.395355</td>\n",
       "      <td>0.517728</td>\n",
       "      <td>-4.626666</td>\n",
       "      <td>3.715996e-06</td>\n",
       "      <td>1.605411e-04</td>\n",
       "      <td>chr11</td>\n",
       "      <td>7612703</td>\n",
       "      <td>7613151</td>\n",
       "      <td>chr11</td>\n",
       "      <td>7513297</td>\n",
       "      <td>7657127</td>\n",
       "      <td>PPFIBP2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-16603425-16603853</th>\n",
       "      <td>14.509939</td>\n",
       "      <td>2.109033</td>\n",
       "      <td>0.494873</td>\n",
       "      <td>4.261767</td>\n",
       "      <td>2.028170e-05</td>\n",
       "      <td>6.034104e-04</td>\n",
       "      <td>chr12</td>\n",
       "      <td>16603425</td>\n",
       "      <td>16603853</td>\n",
       "      <td>chr12</td>\n",
       "      <td>16347141</td>\n",
       "      <td>16609259</td>\n",
       "      <td>MGST1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-16603425-16603853</th>\n",
       "      <td>14.509939</td>\n",
       "      <td>2.109033</td>\n",
       "      <td>0.494873</td>\n",
       "      <td>4.261767</td>\n",
       "      <td>2.028170e-05</td>\n",
       "      <td>6.034104e-04</td>\n",
       "      <td>chr12</td>\n",
       "      <td>16603425</td>\n",
       "      <td>16603853</td>\n",
       "      <td>chr12</td>\n",
       "      <td>16548372</td>\n",
       "      <td>16610594</td>\n",
       "      <td>LMO3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-32983338-32983771</th>\n",
       "      <td>14.706543</td>\n",
       "      <td>-2.471914</td>\n",
       "      <td>0.522813</td>\n",
       "      <td>-4.728099</td>\n",
       "      <td>2.266313e-06</td>\n",
       "      <td>1.228034e-04</td>\n",
       "      <td>chr12</td>\n",
       "      <td>32983338</td>\n",
       "      <td>32983771</td>\n",
       "      <td>chr12</td>\n",
       "      <td>32985837</td>\n",
       "      <td>32987070</td>\n",
       "      <td>RP11-267D19.2 &lt;5k</td>\n",
       "      <td>2067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-65925790-65926469</th>\n",
       "      <td>10.247379</td>\n",
       "      <td>-2.472286</td>\n",
       "      <td>0.581089</td>\n",
       "      <td>-4.254571</td>\n",
       "      <td>2.094506e-05</td>\n",
       "      <td>6.087395e-04</td>\n",
       "      <td>chr12</td>\n",
       "      <td>65925790</td>\n",
       "      <td>65926469</td>\n",
       "      <td>chr12</td>\n",
       "      <td>65824130</td>\n",
       "      <td>65966295</td>\n",
       "      <td>HMGA2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-89316161-89317192</th>\n",
       "      <td>44.982363</td>\n",
       "      <td>1.615861</td>\n",
       "      <td>0.326518</td>\n",
       "      <td>4.948765</td>\n",
       "      <td>7.468594e-07</td>\n",
       "      <td>6.122332e-05</td>\n",
       "      <td>chr12</td>\n",
       "      <td>89316161</td>\n",
       "      <td>89317192</td>\n",
       "      <td>chr12</td>\n",
       "      <td>89319363</td>\n",
       "      <td>89319649</td>\n",
       "      <td>MRPS6P4 &lt;5k</td>\n",
       "      <td>2172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-89326259-89326976</th>\n",
       "      <td>29.923538</td>\n",
       "      <td>1.518029</td>\n",
       "      <td>0.366792</td>\n",
       "      <td>4.138668</td>\n",
       "      <td>3.493273e-05</td>\n",
       "      <td>8.590765e-04</td>\n",
       "      <td>chr12</td>\n",
       "      <td>89326259</td>\n",
       "      <td>89326976</td>\n",
       "      <td>chr12</td>\n",
       "      <td>89319363</td>\n",
       "      <td>89319649</td>\n",
       "      <td>MRPS6P4 &lt;10k</td>\n",
       "      <td>-6611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-93087338-93087894</th>\n",
       "      <td>17.866131</td>\n",
       "      <td>-2.964968</td>\n",
       "      <td>0.530265</td>\n",
       "      <td>-5.591484</td>\n",
       "      <td>2.251372e-08</td>\n",
       "      <td>3.788229e-06</td>\n",
       "      <td>chr12</td>\n",
       "      <td>93087338</td>\n",
       "      <td>93087894</td>\n",
       "      <td>chr12</td>\n",
       "      <td>93003414</td>\n",
       "      <td>93215679</td>\n",
       "      <td>RP11-511B23.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-95545264-95546260</th>\n",
       "      <td>68.520469</td>\n",
       "      <td>1.236363</td>\n",
       "      <td>0.280869</td>\n",
       "      <td>4.401925</td>\n",
       "      <td>1.072947e-05</td>\n",
       "      <td>3.728492e-04</td>\n",
       "      <td>chr12</td>\n",
       "      <td>95545264</td>\n",
       "      <td>95546260</td>\n",
       "      <td>chr12</td>\n",
       "      <td>95516559</td>\n",
       "      <td>95551490</td>\n",
       "      <td>USP44</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr12-95624532-95625137</th>\n",
       "      <td>33.435833</td>\n",
       "      <td>1.594608</td>\n",
       "      <td>0.355558</td>\n",
       "      <td>4.484806</td>\n",
       "      <td>7.298045e-06</td>\n",
       "      <td>2.681822e-04</td>\n",
       "      <td>chr12</td>\n",
       "      <td>95624532</td>\n",
       "      <td>95625137</td>\n",
       "      <td>chr12</td>\n",
       "      <td>95551581</td>\n",
       "      <td>95673999</td>\n",
       "      <td>PGAM1P5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr13-91111988-91112526</th>\n",
       "      <td>12.705786</td>\n",
       "      <td>2.925034</td>\n",
       "      <td>0.546508</td>\n",
       "      <td>5.352223</td>\n",
       "      <td>8.688040e-08</td>\n",
       "      <td>1.157319e-05</td>\n",
       "      <td>chr13</td>\n",
       "      <td>91111988</td>\n",
       "      <td>91112526</td>\n",
       "      <td>chr13</td>\n",
       "      <td>91127612</td>\n",
       "      <td>91131407</td>\n",
       "      <td>LINC00379 &gt;10k</td>\n",
       "      <td>15087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr13-91135805-91136373</th>\n",
       "      <td>20.731003</td>\n",
       "      <td>2.603067</td>\n",
       "      <td>0.461069</td>\n",
       "      <td>5.645719</td>\n",
       "      <td>1.644926e-08</td>\n",
       "      <td>3.083867e-06</td>\n",
       "      <td>chr13</td>\n",
       "      <td>91135805</td>\n",
       "      <td>91136373</td>\n",
       "      <td>chr13</td>\n",
       "      <td>91127612</td>\n",
       "      <td>91131407</td>\n",
       "      <td>LINC00379 &lt;5k</td>\n",
       "      <td>-4399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr14-21694265-21695042</th>\n",
       "      <td>93.309216</td>\n",
       "      <td>2.187702</td>\n",
       "      <td>0.265263</td>\n",
       "      <td>8.247301</td>\n",
       "      <td>1.620125e-16</td>\n",
       "      <td>5.179540e-13</td>\n",
       "      <td>chr14</td>\n",
       "      <td>21694265</td>\n",
       "      <td>21695042</td>\n",
       "      <td>chr14</td>\n",
       "      <td>21698953</td>\n",
       "      <td>21699151</td>\n",
       "      <td>AE000658.30 &lt;5k</td>\n",
       "      <td>3912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr14-21703297-21704214</th>\n",
       "      <td>47.987850</td>\n",
       "      <td>1.614550</td>\n",
       "      <td>0.314623</td>\n",
       "      <td>5.131701</td>\n",
       "      <td>2.871356e-07</td>\n",
       "      <td>2.996632e-05</td>\n",
       "      <td>chr14</td>\n",
       "      <td>21703297</td>\n",
       "      <td>21704214</td>\n",
       "      <td>chr14</td>\n",
       "      <td>21698953</td>\n",
       "      <td>21699151</td>\n",
       "      <td>AE000658.30 &lt;5k</td>\n",
       "      <td>-4147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr5-92145943-92146462</th>\n",
       "      <td>48.583832</td>\n",
       "      <td>1.888270</td>\n",
       "      <td>0.315789</td>\n",
       "      <td>5.979522</td>\n",
       "      <td>2.237931e-09</td>\n",
       "      <td>6.504243e-07</td>\n",
       "      <td>chr5</td>\n",
       "      <td>92145943</td>\n",
       "      <td>92146462</td>\n",
       "      <td>chr5</td>\n",
       "      <td>92082596</td>\n",
       "      <td>92479426</td>\n",
       "      <td>RP11-348J24.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr5-92147058-92148000</th>\n",
       "      <td>77.163450</td>\n",
       "      <td>1.866723</td>\n",
       "      <td>0.280751</td>\n",
       "      <td>6.649043</td>\n",
       "      <td>2.950053e-11</td>\n",
       "      <td>1.571887e-08</td>\n",
       "      <td>chr5</td>\n",
       "      <td>92147058</td>\n",
       "      <td>92148000</td>\n",
       "      <td>chr5</td>\n",
       "      <td>92082596</td>\n",
       "      <td>92479426</td>\n",
       "      <td>RP11-348J24.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-10380912-10381597</th>\n",
       "      <td>34.244896</td>\n",
       "      <td>1.815033</td>\n",
       "      <td>0.387594</td>\n",
       "      <td>4.682820</td>\n",
       "      <td>2.829547e-06</td>\n",
       "      <td>1.330303e-04</td>\n",
       "      <td>chr6</td>\n",
       "      <td>10380912</td>\n",
       "      <td>10381597</td>\n",
       "      <td>chr6</td>\n",
       "      <td>10393185</td>\n",
       "      <td>10419659</td>\n",
       "      <td>TFAP2A &gt;10k</td>\n",
       "      <td>11589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-110501692-110502221</th>\n",
       "      <td>18.613787</td>\n",
       "      <td>1.803468</td>\n",
       "      <td>0.441170</td>\n",
       "      <td>4.087918</td>\n",
       "      <td>4.352626e-05</td>\n",
       "      <td>9.939533e-04</td>\n",
       "      <td>chr6</td>\n",
       "      <td>110501692</td>\n",
       "      <td>110502221</td>\n",
       "      <td>chr6</td>\n",
       "      <td>110477906</td>\n",
       "      <td>110479436</td>\n",
       "      <td>CTA-331P3.1 &gt;10k</td>\n",
       "      <td>-22257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-167291464-167292428</th>\n",
       "      <td>35.163590</td>\n",
       "      <td>1.381654</td>\n",
       "      <td>0.335485</td>\n",
       "      <td>4.118379</td>\n",
       "      <td>3.815469e-05</td>\n",
       "      <td>9.171469e-04</td>\n",
       "      <td>chr6</td>\n",
       "      <td>167291464</td>\n",
       "      <td>167292428</td>\n",
       "      <td>chr6</td>\n",
       "      <td>167271168</td>\n",
       "      <td>167316019</td>\n",
       "      <td>UNC93A</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-19804642-19805182</th>\n",
       "      <td>33.473596</td>\n",
       "      <td>1.766786</td>\n",
       "      <td>0.361832</td>\n",
       "      <td>4.882886</td>\n",
       "      <td>1.045446e-06</td>\n",
       "      <td>7.482269e-05</td>\n",
       "      <td>chr6</td>\n",
       "      <td>19804642</td>\n",
       "      <td>19805182</td>\n",
       "      <td>chr6</td>\n",
       "      <td>19534943</td>\n",
       "      <td>19839080</td>\n",
       "      <td>RP1-167F1.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-19804642-19805182</th>\n",
       "      <td>33.473596</td>\n",
       "      <td>1.766786</td>\n",
       "      <td>0.361832</td>\n",
       "      <td>4.882886</td>\n",
       "      <td>1.045446e-06</td>\n",
       "      <td>7.482269e-05</td>\n",
       "      <td>chr6</td>\n",
       "      <td>19804642</td>\n",
       "      <td>19805182</td>\n",
       "      <td>chr6</td>\n",
       "      <td>19802163</td>\n",
       "      <td>19804752</td>\n",
       "      <td>RP4-625H18.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr6-70270132-70270796</th>\n",
       "      <td>35.298990</td>\n",
       "      <td>2.434704</td>\n",
       "      <td>0.377653</td>\n",
       "      <td>6.446928</td>\n",
       "      <td>1.141403e-10</td>\n",
       "      <td>4.561332e-08</td>\n",
       "      <td>chr6</td>\n",
       "      <td>70270132</td>\n",
       "      <td>70270796</td>\n",
       "      <td>chr6</td>\n",
       "      <td>70215060</td>\n",
       "      <td>70303083</td>\n",
       "      <td>COL9A1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-116810184-116811009</th>\n",
       "      <td>104.810055</td>\n",
       "      <td>1.729869</td>\n",
       "      <td>0.252750</td>\n",
       "      <td>6.844187</td>\n",
       "      <td>7.691154e-12</td>\n",
       "      <td>6.021301e-09</td>\n",
       "      <td>chr7</td>\n",
       "      <td>116810184</td>\n",
       "      <td>116811009</td>\n",
       "      <td>chr7</td>\n",
       "      <td>116811069</td>\n",
       "      <td>116922049</td>\n",
       "      <td>CAPZA2 &lt;1k</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-11742330-11743241</th>\n",
       "      <td>71.176579</td>\n",
       "      <td>1.578697</td>\n",
       "      <td>0.296087</td>\n",
       "      <td>5.331860</td>\n",
       "      <td>9.721170e-08</td>\n",
       "      <td>1.224623e-05</td>\n",
       "      <td>chr7</td>\n",
       "      <td>11742330</td>\n",
       "      <td>11743241</td>\n",
       "      <td>chr7</td>\n",
       "      <td>11370356</td>\n",
       "      <td>11832198</td>\n",
       "      <td>THSD7A</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-11833539-11834396</th>\n",
       "      <td>46.718441</td>\n",
       "      <td>1.432626</td>\n",
       "      <td>0.307411</td>\n",
       "      <td>4.660298</td>\n",
       "      <td>3.157515e-06</td>\n",
       "      <td>1.409493e-04</td>\n",
       "      <td>chr7</td>\n",
       "      <td>11833539</td>\n",
       "      <td>11834396</td>\n",
       "      <td>chr7</td>\n",
       "      <td>11370356</td>\n",
       "      <td>11832198</td>\n",
       "      <td>THSD7A &lt;5k</td>\n",
       "      <td>-1342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-12619413-12619805</th>\n",
       "      <td>9.750199</td>\n",
       "      <td>-2.579428</td>\n",
       "      <td>0.590287</td>\n",
       "      <td>-4.369784</td>\n",
       "      <td>1.243695e-05</td>\n",
       "      <td>4.138703e-04</td>\n",
       "      <td>chr7</td>\n",
       "      <td>12619413</td>\n",
       "      <td>12619805</td>\n",
       "      <td>chr7</td>\n",
       "      <td>12570576</td>\n",
       "      <td>12660179</td>\n",
       "      <td>SCIN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-37548830-37549938</th>\n",
       "      <td>167.496939</td>\n",
       "      <td>1.211548</td>\n",
       "      <td>0.247204</td>\n",
       "      <td>4.901003</td>\n",
       "      <td>9.534864e-07</td>\n",
       "      <td>7.257848e-05</td>\n",
       "      <td>chr7</td>\n",
       "      <td>37548830</td>\n",
       "      <td>37549938</td>\n",
       "      <td>chr7</td>\n",
       "      <td>37585499</td>\n",
       "      <td>37586329</td>\n",
       "      <td>NECAP1P1 &gt;10k</td>\n",
       "      <td>35562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-37730729-37731163</th>\n",
       "      <td>10.812459</td>\n",
       "      <td>2.611855</td>\n",
       "      <td>0.576516</td>\n",
       "      <td>4.530415</td>\n",
       "      <td>5.886796e-06</td>\n",
       "      <td>2.323468e-04</td>\n",
       "      <td>chr7</td>\n",
       "      <td>37730729</td>\n",
       "      <td>37731163</td>\n",
       "      <td>chr7</td>\n",
       "      <td>37683795</td>\n",
       "      <td>37833788</td>\n",
       "      <td>GPR141</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-37730729-37731163</th>\n",
       "      <td>10.812459</td>\n",
       "      <td>2.611855</td>\n",
       "      <td>0.576516</td>\n",
       "      <td>4.530415</td>\n",
       "      <td>5.886796e-06</td>\n",
       "      <td>2.323468e-04</td>\n",
       "      <td>chr7</td>\n",
       "      <td>37730729</td>\n",
       "      <td>37731163</td>\n",
       "      <td>chr7</td>\n",
       "      <td>37683842</td>\n",
       "      <td>37951941</td>\n",
       "      <td>EPDR1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-47172738-47173441</th>\n",
       "      <td>14.898486</td>\n",
       "      <td>2.549999</td>\n",
       "      <td>0.501550</td>\n",
       "      <td>5.084236</td>\n",
       "      <td>3.691096e-07</td>\n",
       "      <td>3.575889e-05</td>\n",
       "      <td>chr7</td>\n",
       "      <td>47172738</td>\n",
       "      <td>47173441</td>\n",
       "      <td>chr7</td>\n",
       "      <td>47000619</td>\n",
       "      <td>47079128</td>\n",
       "      <td>AC004870.3 &gt;10k</td>\n",
       "      <td>-93611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr7-96135276-96135704</th>\n",
       "      <td>16.918348</td>\n",
       "      <td>2.240484</td>\n",
       "      <td>0.463571</td>\n",
       "      <td>4.833097</td>\n",
       "      <td>1.344254e-06</td>\n",
       "      <td>8.264578e-05</td>\n",
       "      <td>chr7</td>\n",
       "      <td>96135276</td>\n",
       "      <td>96135704</td>\n",
       "      <td>chr7</td>\n",
       "      <td>96120219</td>\n",
       "      <td>96322147</td>\n",
       "      <td>SLC25A13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-122719587-122720117</th>\n",
       "      <td>77.087211</td>\n",
       "      <td>1.197703</td>\n",
       "      <td>0.265509</td>\n",
       "      <td>4.510960</td>\n",
       "      <td>6.453474e-06</td>\n",
       "      <td>2.456162e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>122719587</td>\n",
       "      <td>122720117</td>\n",
       "      <td>chr8</td>\n",
       "      <td>122700268</td>\n",
       "      <td>122703423</td>\n",
       "      <td>RP11-973F15.2 &gt;10k</td>\n",
       "      <td>-16165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-126423667-126424077</th>\n",
       "      <td>20.770155</td>\n",
       "      <td>2.110415</td>\n",
       "      <td>0.434101</td>\n",
       "      <td>4.861574</td>\n",
       "      <td>1.164563e-06</td>\n",
       "      <td>7.756475e-05</td>\n",
       "      <td>chr8</td>\n",
       "      <td>126423667</td>\n",
       "      <td>126424077</td>\n",
       "      <td>chr8</td>\n",
       "      <td>126474188</td>\n",
       "      <td>126492596</td>\n",
       "      <td>RP11-103H7.1 &gt;10k</td>\n",
       "      <td>50112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-60059789-60060461</th>\n",
       "      <td>59.040793</td>\n",
       "      <td>1.252303</td>\n",
       "      <td>0.300932</td>\n",
       "      <td>4.161413</td>\n",
       "      <td>3.162840e-05</td>\n",
       "      <td>8.090138e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>60059789</td>\n",
       "      <td>60060461</td>\n",
       "      <td>chr8</td>\n",
       "      <td>60049586</td>\n",
       "      <td>60074715</td>\n",
       "      <td>RP11-27P7.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-89835440-89836135</th>\n",
       "      <td>68.433462</td>\n",
       "      <td>1.134124</td>\n",
       "      <td>0.273877</td>\n",
       "      <td>4.140995</td>\n",
       "      <td>3.458027e-05</td>\n",
       "      <td>8.570009e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>89835440</td>\n",
       "      <td>89836135</td>\n",
       "      <td>chr8</td>\n",
       "      <td>89826592</td>\n",
       "      <td>89833564</td>\n",
       "      <td>SCb-64M4.1 &lt;5k</td>\n",
       "      <td>-1877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-90111245-90111950</th>\n",
       "      <td>88.183760</td>\n",
       "      <td>1.399074</td>\n",
       "      <td>0.283720</td>\n",
       "      <td>4.931178</td>\n",
       "      <td>8.173537e-07</td>\n",
       "      <td>6.527167e-05</td>\n",
       "      <td>chr8</td>\n",
       "      <td>90111245</td>\n",
       "      <td>90111950</td>\n",
       "      <td>chr8</td>\n",
       "      <td>90058607</td>\n",
       "      <td>90095475</td>\n",
       "      <td>CALB1 &gt;10k</td>\n",
       "      <td>-15771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr8-99498623-99499262</th>\n",
       "      <td>11.993932</td>\n",
       "      <td>-2.223092</td>\n",
       "      <td>0.541991</td>\n",
       "      <td>-4.101712</td>\n",
       "      <td>4.101050e-05</td>\n",
       "      <td>9.711894e-04</td>\n",
       "      <td>chr8</td>\n",
       "      <td>99498623</td>\n",
       "      <td>99499262</td>\n",
       "      <td>chr8</td>\n",
       "      <td>99013265</td>\n",
       "      <td>99877580</td>\n",
       "      <td>VPS13B</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-129482136-129483148</th>\n",
       "      <td>34.935162</td>\n",
       "      <td>1.652158</td>\n",
       "      <td>0.346597</td>\n",
       "      <td>4.766799</td>\n",
       "      <td>1.871758e-06</td>\n",
       "      <td>1.068573e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>129482136</td>\n",
       "      <td>129483148</td>\n",
       "      <td>chr9</td>\n",
       "      <td>129480604</td>\n",
       "      <td>129482538</td>\n",
       "      <td>RP11-65J3.14</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-14108024-14108385</th>\n",
       "      <td>27.240080</td>\n",
       "      <td>1.702473</td>\n",
       "      <td>0.374629</td>\n",
       "      <td>4.544418</td>\n",
       "      <td>5.508737e-06</td>\n",
       "      <td>2.229295e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>14108024</td>\n",
       "      <td>14108385</td>\n",
       "      <td>chr9</td>\n",
       "      <td>14081842</td>\n",
       "      <td>14398983</td>\n",
       "      <td>NFIB</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-77012350-77012850</th>\n",
       "      <td>10.838988</td>\n",
       "      <td>2.339247</td>\n",
       "      <td>0.540178</td>\n",
       "      <td>4.330512</td>\n",
       "      <td>1.487628e-05</td>\n",
       "      <td>4.755948e-04</td>\n",
       "      <td>chr9</td>\n",
       "      <td>77012350</td>\n",
       "      <td>77012850</td>\n",
       "      <td>chr9</td>\n",
       "      <td>77019654</td>\n",
       "      <td>77020953</td>\n",
       "      <td>FOXB2 &lt;10k</td>\n",
       "      <td>6805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chr9-82894830-82895765</th>\n",
       "      <td>30.553253</td>\n",
       "      <td>2.085754</td>\n",
       "      <td>0.377791</td>\n",
       "      <td>5.520923</td>\n",
       "      <td>3.372229e-08</td>\n",
       "      <td>5.133817e-06</td>\n",
       "      <td>chr9</td>\n",
       "      <td>82894830</td>\n",
       "      <td>82895765</td>\n",
       "      <td>chr9</td>\n",
       "      <td>82979584</td>\n",
       "      <td>83063177</td>\n",
       "      <td>RASEF &gt;10k</td>\n",
       "      <td>83820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-16646733-16647167</th>\n",
       "      <td>35.492881</td>\n",
       "      <td>1.477201</td>\n",
       "      <td>0.351474</td>\n",
       "      <td>4.202869</td>\n",
       "      <td>2.635535e-05</td>\n",
       "      <td>7.080510e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>16646733</td>\n",
       "      <td>16647167</td>\n",
       "      <td>chrX</td>\n",
       "      <td>16588002</td>\n",
       "      <td>16712936</td>\n",
       "      <td>CTPS2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-2401556-2402157</th>\n",
       "      <td>64.727904</td>\n",
       "      <td>1.260708</td>\n",
       "      <td>0.293313</td>\n",
       "      <td>4.298174</td>\n",
       "      <td>1.722111e-05</td>\n",
       "      <td>5.345233e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>2401556</td>\n",
       "      <td>2402157</td>\n",
       "      <td>chrX</td>\n",
       "      <td>2219515</td>\n",
       "      <td>2502805</td>\n",
       "      <td>DHRSX</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chrX-42996763-42997437</th>\n",
       "      <td>33.604302</td>\n",
       "      <td>1.661643</td>\n",
       "      <td>0.366548</td>\n",
       "      <td>4.533222</td>\n",
       "      <td>5.809084e-06</td>\n",
       "      <td>2.321455e-04</td>\n",
       "      <td>chrX</td>\n",
       "      <td>42996763</td>\n",
       "      <td>42997437</td>\n",
       "      <td>chrX</td>\n",
       "      <td>43000173</td>\n",
       "      <td>43000396</td>\n",
       "      <td>RP11-265D20.1 &lt;5k</td>\n",
       "      <td>2737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             baseMean  log2FoldChange     lfcSE      stat  \\\n",
       "chr1-23554502-23555267      36.815043        1.937300  0.352638  5.493741   \n",
       "chr1-241107385-241107900    17.759995        2.217401  0.492722  4.500304   \n",
       "chr1-79663720-79664316      23.204900       -2.290959  0.456155 -5.022321   \n",
       "chr1-940087-940533          15.942722        2.632742  0.494183  5.327463   \n",
       "chr1-941679-942163          21.176376        2.192637  0.448474  4.889104   \n",
       "chr1-98003331-98003783      22.674302        1.777791  0.420681  4.225979   \n",
       "chr1-98264707-98265270      21.383370        2.368028  0.462927  5.115339   \n",
       "chr10-106980477-106981236   53.528703        1.431117  0.336186  4.256915   \n",
       "chr10-110857529-110857863    9.833362       -2.426552  0.582929 -4.162687   \n",
       "chr10-120979821-120980276   45.948601        1.561263  0.342150  4.563099   \n",
       "chr10-61815474-61815897     16.380555        2.144756  0.456260  4.700738   \n",
       "chr10-61898371-61899049     51.614749        2.098488  0.302825  6.929701   \n",
       "chr10-62020173-62020779     46.102649        1.569926  0.321802  4.878549   \n",
       "chr11-103405490-103406121   50.155975        1.741827  0.319863  5.445546   \n",
       "chr11-103405490-103406121   50.155975        1.741827  0.319863  5.445546   \n",
       "chr11-107791610-107792176   10.646123       -2.407907  0.580509 -4.147925   \n",
       "chr11-7612703-7613151       18.375642       -2.395355  0.517728 -4.626666   \n",
       "chr12-16603425-16603853     14.509939        2.109033  0.494873  4.261767   \n",
       "chr12-16603425-16603853     14.509939        2.109033  0.494873  4.261767   \n",
       "chr12-32983338-32983771     14.706543       -2.471914  0.522813 -4.728099   \n",
       "chr12-65925790-65926469     10.247379       -2.472286  0.581089 -4.254571   \n",
       "chr12-89316161-89317192     44.982363        1.615861  0.326518  4.948765   \n",
       "chr12-89326259-89326976     29.923538        1.518029  0.366792  4.138668   \n",
       "chr12-93087338-93087894     17.866131       -2.964968  0.530265 -5.591484   \n",
       "chr12-95545264-95546260     68.520469        1.236363  0.280869  4.401925   \n",
       "chr12-95624532-95625137     33.435833        1.594608  0.355558  4.484806   \n",
       "chr13-91111988-91112526     12.705786        2.925034  0.546508  5.352223   \n",
       "chr13-91135805-91136373     20.731003        2.603067  0.461069  5.645719   \n",
       "chr14-21694265-21695042     93.309216        2.187702  0.265263  8.247301   \n",
       "chr14-21703297-21704214     47.987850        1.614550  0.314623  5.131701   \n",
       "...                               ...             ...       ...       ...   \n",
       "chr5-92145943-92146462      48.583832        1.888270  0.315789  5.979522   \n",
       "chr5-92147058-92148000      77.163450        1.866723  0.280751  6.649043   \n",
       "chr6-10380912-10381597      34.244896        1.815033  0.387594  4.682820   \n",
       "chr6-110501692-110502221    18.613787        1.803468  0.441170  4.087918   \n",
       "chr6-167291464-167292428    35.163590        1.381654  0.335485  4.118379   \n",
       "chr6-19804642-19805182      33.473596        1.766786  0.361832  4.882886   \n",
       "chr6-19804642-19805182      33.473596        1.766786  0.361832  4.882886   \n",
       "chr6-70270132-70270796      35.298990        2.434704  0.377653  6.446928   \n",
       "chr7-116810184-116811009   104.810055        1.729869  0.252750  6.844187   \n",
       "chr7-11742330-11743241      71.176579        1.578697  0.296087  5.331860   \n",
       "chr7-11833539-11834396      46.718441        1.432626  0.307411  4.660298   \n",
       "chr7-12619413-12619805       9.750199       -2.579428  0.590287 -4.369784   \n",
       "chr7-37548830-37549938     167.496939        1.211548  0.247204  4.901003   \n",
       "chr7-37730729-37731163      10.812459        2.611855  0.576516  4.530415   \n",
       "chr7-37730729-37731163      10.812459        2.611855  0.576516  4.530415   \n",
       "chr7-47172738-47173441      14.898486        2.549999  0.501550  5.084236   \n",
       "chr7-96135276-96135704      16.918348        2.240484  0.463571  4.833097   \n",
       "chr8-122719587-122720117    77.087211        1.197703  0.265509  4.510960   \n",
       "chr8-126423667-126424077    20.770155        2.110415  0.434101  4.861574   \n",
       "chr8-60059789-60060461      59.040793        1.252303  0.300932  4.161413   \n",
       "chr8-89835440-89836135      68.433462        1.134124  0.273877  4.140995   \n",
       "chr8-90111245-90111950      88.183760        1.399074  0.283720  4.931178   \n",
       "chr8-99498623-99499262      11.993932       -2.223092  0.541991 -4.101712   \n",
       "chr9-129482136-129483148    34.935162        1.652158  0.346597  4.766799   \n",
       "chr9-14108024-14108385      27.240080        1.702473  0.374629  4.544418   \n",
       "chr9-77012350-77012850      10.838988        2.339247  0.540178  4.330512   \n",
       "chr9-82894830-82895765      30.553253        2.085754  0.377791  5.520923   \n",
       "chrX-16646733-16647167      35.492881        1.477201  0.351474  4.202869   \n",
       "chrX-2401556-2402157        64.727904        1.260708  0.293313  4.298174   \n",
       "chrX-42996763-42997437      33.604302        1.661643  0.366548  4.533222   \n",
       "\n",
       "                                 pvalue          padj chrom_peak  start_peak  \\\n",
       "chr1-23554502-23555267     3.935076e-08  5.718381e-06       chr1    23554502   \n",
       "chr1-241107385-241107900   6.785621e-06  2.552192e-04       chr1   241107385   \n",
       "chr1-79663720-79664316     5.105073e-07  4.411059e-05       chr1    79663720   \n",
       "chr1-940087-940533         9.959398e-08  1.224623e-05       chr1      940087   \n",
       "chr1-941679-942163         1.012961e-06  7.482269e-05       chr1      941679   \n",
       "chr1-98003331-98003783     2.379040e-05  6.671747e-04       chr1    98003331   \n",
       "chr1-98264707-98265270     3.131774e-07  3.128838e-05       chr1    98264707   \n",
       "chr10-106980477-106981236  2.072674e-05  6.079211e-04      chr10   106980477   \n",
       "chr10-110857529-110857863  3.145247e-05  8.090138e-04      chr10   110857529   \n",
       "chr10-120979821-120980276  5.040394e-06  2.114307e-04      chr10   120979821   \n",
       "chr10-61815474-61815897    2.592235e-06  1.255500e-04      chr10    61815474   \n",
       "chr10-61898371-61899049    4.217321e-12  6.021301e-09      chr10    61898371   \n",
       "chr10-62020173-62020779    1.068694e-06  7.482269e-05      chr10    62020173   \n",
       "chr11-103405490-103406121  5.164680e-08  7.178906e-06      chr11   103405490   \n",
       "chr11-103405490-103406121  5.164680e-08  7.178906e-06      chr11   103405490   \n",
       "chr11-107791610-107792176  3.355027e-05  8.453377e-04      chr11   107791610   \n",
       "chr11-7612703-7613151      3.715996e-06  1.605411e-04      chr11     7612703   \n",
       "chr12-16603425-16603853    2.028170e-05  6.034104e-04      chr12    16603425   \n",
       "chr12-16603425-16603853    2.028170e-05  6.034104e-04      chr12    16603425   \n",
       "chr12-32983338-32983771    2.266313e-06  1.228034e-04      chr12    32983338   \n",
       "chr12-65925790-65926469    2.094506e-05  6.087395e-04      chr12    65925790   \n",
       "chr12-89316161-89317192    7.468594e-07  6.122332e-05      chr12    89316161   \n",
       "chr12-89326259-89326976    3.493273e-05  8.590765e-04      chr12    89326259   \n",
       "chr12-93087338-93087894    2.251372e-08  3.788229e-06      chr12    93087338   \n",
       "chr12-95545264-95546260    1.072947e-05  3.728492e-04      chr12    95545264   \n",
       "chr12-95624532-95625137    7.298045e-06  2.681822e-04      chr12    95624532   \n",
       "chr13-91111988-91112526    8.688040e-08  1.157319e-05      chr13    91111988   \n",
       "chr13-91135805-91136373    1.644926e-08  3.083867e-06      chr13    91135805   \n",
       "chr14-21694265-21695042    1.620125e-16  5.179540e-13      chr14    21694265   \n",
       "chr14-21703297-21704214    2.871356e-07  2.996632e-05      chr14    21703297   \n",
       "...                                 ...           ...        ...         ...   \n",
       "chr5-92145943-92146462     2.237931e-09  6.504243e-07       chr5    92145943   \n",
       "chr5-92147058-92148000     2.950053e-11  1.571887e-08       chr5    92147058   \n",
       "chr6-10380912-10381597     2.829547e-06  1.330303e-04       chr6    10380912   \n",
       "chr6-110501692-110502221   4.352626e-05  9.939533e-04       chr6   110501692   \n",
       "chr6-167291464-167292428   3.815469e-05  9.171469e-04       chr6   167291464   \n",
       "chr6-19804642-19805182     1.045446e-06  7.482269e-05       chr6    19804642   \n",
       "chr6-19804642-19805182     1.045446e-06  7.482269e-05       chr6    19804642   \n",
       "chr6-70270132-70270796     1.141403e-10  4.561332e-08       chr6    70270132   \n",
       "chr7-116810184-116811009   7.691154e-12  6.021301e-09       chr7   116810184   \n",
       "chr7-11742330-11743241     9.721170e-08  1.224623e-05       chr7    11742330   \n",
       "chr7-11833539-11834396     3.157515e-06  1.409493e-04       chr7    11833539   \n",
       "chr7-12619413-12619805     1.243695e-05  4.138703e-04       chr7    12619413   \n",
       "chr7-37548830-37549938     9.534864e-07  7.257848e-05       chr7    37548830   \n",
       "chr7-37730729-37731163     5.886796e-06  2.323468e-04       chr7    37730729   \n",
       "chr7-37730729-37731163     5.886796e-06  2.323468e-04       chr7    37730729   \n",
       "chr7-47172738-47173441     3.691096e-07  3.575889e-05       chr7    47172738   \n",
       "chr7-96135276-96135704     1.344254e-06  8.264578e-05       chr7    96135276   \n",
       "chr8-122719587-122720117   6.453474e-06  2.456162e-04       chr8   122719587   \n",
       "chr8-126423667-126424077   1.164563e-06  7.756475e-05       chr8   126423667   \n",
       "chr8-60059789-60060461     3.162840e-05  8.090138e-04       chr8    60059789   \n",
       "chr8-89835440-89836135     3.458027e-05  8.570009e-04       chr8    89835440   \n",
       "chr8-90111245-90111950     8.173537e-07  6.527167e-05       chr8    90111245   \n",
       "chr8-99498623-99499262     4.101050e-05  9.711894e-04       chr8    99498623   \n",
       "chr9-129482136-129483148   1.871758e-06  1.068573e-04       chr9   129482136   \n",
       "chr9-14108024-14108385     5.508737e-06  2.229295e-04       chr9    14108024   \n",
       "chr9-77012350-77012850     1.487628e-05  4.755948e-04       chr9    77012350   \n",
       "chr9-82894830-82895765     3.372229e-08  5.133817e-06       chr9    82894830   \n",
       "chrX-16646733-16647167     2.635535e-05  7.080510e-04       chrX    16646733   \n",
       "chrX-2401556-2402157       1.722111e-05  5.345233e-04       chrX     2401556   \n",
       "chrX-42996763-42997437     5.809084e-06  2.321455e-04       chrX    42996763   \n",
       "\n",
       "                            end_peak chrom_gene  start_gene   end_gene  \\\n",
       "chr1-23554502-23555267      23555267       chr1    23557917   23559794   \n",
       "chr1-241107385-241107900   241107900       chr1   240775513  241357230   \n",
       "chr1-79663720-79664316      79664316       chr1    79521079   79522203   \n",
       "chr1-940087-940533            940533       chr1      924879     944581   \n",
       "chr1-941679-942163            942163       chr1      924879     944581   \n",
       "chr1-98003331-98003783      98003783       chr1    97987999   98049863   \n",
       "chr1-98264707-98265270      98265270       chr1    98210746   98272658   \n",
       "chr10-106980477-106981236  106981236      chr10   106573662  107164534   \n",
       "chr10-110857529-110857863  110857863      chr10   110869742  110871594   \n",
       "chr10-120979821-120980276  120980276      chr10   120925546  120980700   \n",
       "chr10-61815474-61815897     61815897      chr10    61781744   61821246   \n",
       "chr10-61898371-61899049     61899049      chr10    61901299   62096944   \n",
       "chr10-62020173-62020779     62020779      chr10    61901299   62096944   \n",
       "chr11-103405490-103406121  103406121      chr11   103109430  103479863   \n",
       "chr11-103405490-103406121  103406121      chr11   103404308  103405834   \n",
       "chr11-107791610-107792176  107792176      chr11   107790990  107928293   \n",
       "chr11-7612703-7613151        7613151      chr11     7513297    7657127   \n",
       "chr12-16603425-16603853     16603853      chr12    16347141   16609259   \n",
       "chr12-16603425-16603853     16603853      chr12    16548372   16610594   \n",
       "chr12-32983338-32983771     32983771      chr12    32985837   32987070   \n",
       "chr12-65925790-65926469     65926469      chr12    65824130   65966295   \n",
       "chr12-89316161-89317192     89317192      chr12    89319363   89319649   \n",
       "chr12-89326259-89326976     89326976      chr12    89319363   89319649   \n",
       "chr12-93087338-93087894     93087894      chr12    93003414   93215679   \n",
       "chr12-95545264-95546260     95546260      chr12    95516559   95551490   \n",
       "chr12-95624532-95625137     95625137      chr12    95551581   95673999   \n",
       "chr13-91111988-91112526     91112526      chr13    91127612   91131407   \n",
       "chr13-91135805-91136373     91136373      chr13    91127612   91131407   \n",
       "chr14-21694265-21695042     21695042      chr14    21698953   21699151   \n",
       "chr14-21703297-21704214     21704214      chr14    21698953   21699151   \n",
       "...                              ...        ...         ...        ...   \n",
       "chr5-92145943-92146462      92146462       chr5    92082596   92479426   \n",
       "chr5-92147058-92148000      92148000       chr5    92082596   92479426   \n",
       "chr6-10380912-10381597      10381597       chr6    10393185   10419659   \n",
       "chr6-110501692-110502221   110502221       chr6   110477906  110479436   \n",
       "chr6-167291464-167292428   167292428       chr6   167271168  167316019   \n",
       "chr6-19804642-19805182      19805182       chr6    19534943   19839080   \n",
       "chr6-19804642-19805182      19805182       chr6    19802163   19804752   \n",
       "chr6-70270132-70270796      70270796       chr6    70215060   70303083   \n",
       "chr7-116810184-116811009   116811009       chr7   116811069  116922049   \n",
       "chr7-11742330-11743241      11743241       chr7    11370356   11832198   \n",
       "chr7-11833539-11834396      11834396       chr7    11370356   11832198   \n",
       "chr7-12619413-12619805      12619805       chr7    12570576   12660179   \n",
       "chr7-37548830-37549938      37549938       chr7    37585499   37586329   \n",
       "chr7-37730729-37731163      37731163       chr7    37683795   37833788   \n",
       "chr7-37730729-37731163      37731163       chr7    37683842   37951941   \n",
       "chr7-47172738-47173441      47173441       chr7    47000619   47079128   \n",
       "chr7-96135276-96135704      96135704       chr7    96120219   96322147   \n",
       "chr8-122719587-122720117   122720117       chr8   122700268  122703423   \n",
       "chr8-126423667-126424077   126424077       chr8   126474188  126492596   \n",
       "chr8-60059789-60060461      60060461       chr8    60049586   60074715   \n",
       "chr8-89835440-89836135      89836135       chr8    89826592   89833564   \n",
       "chr8-90111245-90111950      90111950       chr8    90058607   90095475   \n",
       "chr8-99498623-99499262      99499262       chr8    99013265   99877580   \n",
       "chr9-129482136-129483148   129483148       chr9   129480604  129482538   \n",
       "chr9-14108024-14108385      14108385       chr9    14081842   14398983   \n",
       "chr9-77012350-77012850      77012850       chr9    77019654   77020953   \n",
       "chr9-82894830-82895765      82895765       chr9    82979584   83063177   \n",
       "chrX-16646733-16647167      16647167       chrX    16588002   16712936   \n",
       "chrX-2401556-2402157         2402157       chrX     2219515    2502805   \n",
       "chrX-42996763-42997437      42997437       chrX    43000173   43000396   \n",
       "\n",
       "                                    gene_name  distance  \n",
       "chr1-23554502-23555267                ID3 <5k      2651  \n",
       "chr1-241107385-241107900                RGS7          0  \n",
       "chr1-79663720-79664316            ADH5P2 >10k   -141518  \n",
       "chr1-940087-940533                    SAMD11          0  \n",
       "chr1-941679-942163                    SAMD11          0  \n",
       "chr1-98003331-98003783              MIR137HG          0  \n",
       "chr1-98264707-98265270         RP5-1070A16.1          0  \n",
       "chr10-106980477-106981236             SORCS1          0  \n",
       "chr10-110857529-110857863   RP11-313D6.3 >10k     11880  \n",
       "chr10-120979821-120980276       RP11-95I16.2          0  \n",
       "chr10-61815474-61815897        RP11-491H19.1          0  \n",
       "chr10-61898371-61899049            ARID5B <5k      2251  \n",
       "chr10-62020173-62020779               ARID5B          0  \n",
       "chr11-103405490-103406121            DYNC2H1          0  \n",
       "chr11-103405490-103406121       RP11-37O16.3          0  \n",
       "chr11-107791610-107792176            SLC35F2          0  \n",
       "chr11-7612703-7613151                PPFIBP2          0  \n",
       "chr12-16603425-16603853                MGST1          0  \n",
       "chr12-16603425-16603853                 LMO3          0  \n",
       "chr12-32983338-32983771     RP11-267D19.2 <5k      2067  \n",
       "chr12-65925790-65926469                HMGA2          0  \n",
       "chr12-89316161-89317192           MRPS6P4 <5k      2172  \n",
       "chr12-89326259-89326976          MRPS6P4 <10k     -6611  \n",
       "chr12-93087338-93087894        RP11-511B23.2          0  \n",
       "chr12-95545264-95546260                USP44          0  \n",
       "chr12-95624532-95625137              PGAM1P5          0  \n",
       "chr13-91111988-91112526        LINC00379 >10k     15087  \n",
       "chr13-91135805-91136373         LINC00379 <5k     -4399  \n",
       "chr14-21694265-21695042       AE000658.30 <5k      3912  \n",
       "chr14-21703297-21704214       AE000658.30 <5k     -4147  \n",
       "...                                       ...       ...  \n",
       "chr5-92145943-92146462         RP11-348J24.2          0  \n",
       "chr5-92147058-92148000         RP11-348J24.2          0  \n",
       "chr6-10380912-10381597            TFAP2A >10k     11589  \n",
       "chr6-110501692-110502221     CTA-331P3.1 >10k    -22257  \n",
       "chr6-167291464-167292428              UNC93A          0  \n",
       "chr6-19804642-19805182           RP1-167F1.2          0  \n",
       "chr6-19804642-19805182          RP4-625H18.2          0  \n",
       "chr6-70270132-70270796                COL9A1          0  \n",
       "chr7-116810184-116811009           CAPZA2 <1k        61  \n",
       "chr7-11742330-11743241                THSD7A          0  \n",
       "chr7-11833539-11834396             THSD7A <5k     -1342  \n",
       "chr7-12619413-12619805                  SCIN          0  \n",
       "chr7-37548830-37549938          NECAP1P1 >10k     35562  \n",
       "chr7-37730729-37731163                GPR141          0  \n",
       "chr7-37730729-37731163                 EPDR1          0  \n",
       "chr7-47172738-47173441        AC004870.3 >10k    -93611  \n",
       "chr7-96135276-96135704              SLC25A13          0  \n",
       "chr8-122719587-122720117   RP11-973F15.2 >10k    -16165  \n",
       "chr8-126423667-126424077    RP11-103H7.1 >10k     50112  \n",
       "chr8-60059789-60060461           RP11-27P7.1          0  \n",
       "chr8-89835440-89836135         SCb-64M4.1 <5k     -1877  \n",
       "chr8-90111245-90111950             CALB1 >10k    -15771  \n",
       "chr8-99498623-99499262                VPS13B          0  \n",
       "chr9-129482136-129483148        RP11-65J3.14          0  \n",
       "chr9-14108024-14108385                  NFIB          0  \n",
       "chr9-77012350-77012850             FOXB2 <10k      6805  \n",
       "chr9-82894830-82895765             RASEF >10k     83820  \n",
       "chrX-16646733-16647167                 CTPS2          0  \n",
       "chrX-2401556-2402157                   DHRSX          0  \n",
       "chrX-42996763-42997437      RP11-265D20.1 <5k      2737  \n",
       "\n",
       "[152 rows x 14 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc1d99c7e90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc1d99c80d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc1d9d55c10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.transforms as mtransforms\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "sns.set_context(\"paper\")\n",
    "\n",
    "def abbreviate_distance(d):\n",
    "    if d == 0: return \"\"\n",
    "    if d < 1000: return \"<1k\"\n",
    "    if d < 5000: return \"<5k\"\n",
    "    if d < 10000: return \"<10k\"\n",
    "    if d >= 10000: return \">10k\" \n",
    "    \n",
    "\n",
    "\n",
    "# Config\n",
    "pval_thres = 0.001\n",
    "top_to_report = 50\n",
    "comparisons = [\n",
    "    \"Vorinostat_vs_DMSO\",\n",
    "    \"THZ531_vs_DMSO\",\n",
    "    \"Vorinostat_vs_THZ531\",\n",
    "#     \"dCas9_P300_g3_vs_Cascade_HBE_crRNA\"\n",
    "]\n",
    "\n",
    "for comparison in comparisons:\n",
    "    df = pd.read_csv(\"/data/reddylab/Hazel/chipseq/take2/processing/chip_seq/analysis/results/chip_seq/data/%s.rev.deseq2_results.txt\" % comparison,\n",
    "                    sep=\"\\t\")\n",
    "    df_closets = pd.read_csv(\"/data/reddylab/Hazel/chipseq/take2/processing/chip_seq/analysis/results/chip_seq/data/%s.rev.deseq2_results.closest_gene.txt\" % comparison,\n",
    "                        sep='\\s+',\n",
    "                        names=['chrom_peak', 'start_peak', 'end_peak', 'chrom_gene', 'start_gene', 'end_gene', 'gene_name', 'distance'])\n",
    "    df_closets.index = df_closets.loc[:, ['chrom_peak', 'start_peak', 'end_peak']].apply(lambda x: \"-\".join([str(xx) for xx in x]), axis=1)\n",
    "    df.index = df.index.str.replace(\" \", \"\")\n",
    "    \n",
    "    # Add binned distance to gene name\n",
    "    df_closets.loc[:, 'gene_name'] = df_closets.loc[:, ['gene_name', 'distance']].apply(lambda x: \" \".join([x['gene_name'], \n",
    "                                                                                                            abbreviate_distance(abs(x['distance']))]), \n",
    "                                                                                        axis=1)\n",
    "    \n",
    "    df = df.join(df_closets)\n",
    "    \n",
    "    # Plot MA\n",
    "    fig = plt.figure(figsize=(8, 8))\n",
    "    ax = plt.subplot(1, 1, 1)\n",
    "    df_non_sig = df[df.padj>pval_thres]\n",
    "    ax.set_xscale('log')\n",
    "    ax.plot(df_non_sig['baseMean'].values, \n",
    "            df_non_sig['log2FoldChange'].values, \n",
    "            'ko', alpha=0.2, label='non-sig. DEGs')\n",
    "\n",
    "    ylims = [np.ceil(df['log2FoldChange'].min()-1), \n",
    "             np.floor(df['log2FoldChange'].max()+1)]\n",
    "    df_sig = df[df.padj<=pval_thres]\n",
    "#     ax.plot(df_sig['baseMean'].values, df_sig['log2FoldChange'].values, 'ro', alpha=0.2)\n",
    "\n",
    "    # Annotate significant peaks\n",
    "    df_annotate = df_sig\n",
    "    ax.plot(df_annotate['baseMean'].values, df_annotate['log2FoldChange'].values, 'ro', label='sig. DEGs')\n",
    "\n",
    "    for x, y, t in zip(df_annotate['baseMean'].values, df_annotate['log2FoldChange'].values, df_annotate['gene_name'].values) :\n",
    "        ax.annotate('{}'.format(t), xy=(x, y), xytext=(5, 0), ha='left',\n",
    "                    textcoords='offset points')\n",
    "\n",
    "    plt.ylim(ylims)\n",
    "    plt.xlabel(\"mean of normalized counts\")\n",
    "    plt.ylabel(\"log2 fold-change\")\n",
    "    plt.title(\"%s\\n%d peaks diff. expressed (padj<=%.3f) - top %d annotated\" % (comparison, \n",
    "                                                                                np.count_nonzero(df.padj<=pval_thres), \n",
    "                                                                                pval_thres, \n",
    "                                                                                top_to_report))\n",
    "    plt.legend()\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    # Save annotated MA plot\n",
    "    plt.savefig(\"/data/reddylab/Hazel/chipseq/take2/processing/chip_seq/analysis/results/chip_seq/plots/degs%s.rev.with_genes.annotated_plot_MA.pdf\" % comparison)\n",
    "    \n",
    "    # Save annotated genes without pseudogenes\n",
    "    df_annotate.to_csv(\"/data/reddylab/Hazel/chipseq/take2/processing/chip_seq/analysis/results/chip_seq/plots/degs%s.rev.with_genes.sig_DE_no_pseudogenes.txt\" % comparison,\n",
    "                      sep='\\t',\n",
    "                      index=False)\n",
    "    \n",
    "    # print table of values \n",
    "    print \"======\", comparison, \"======\"\n",
    "    display(df_annotate)\n",
    "    \n",
    "   \n"
   ]
  }
 ],
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   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "pygments_lexer": "ipython2",
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