diff --git a/VennDiagram.ipynb b/VennDiagram.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..9756504ba8f76f668be0fee15bf4fec0933d5974
--- /dev/null
+++ b/VennDiagram.ipynb
@@ -0,0 +1,100 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    " # Import graphics\n",
+    "import pandas as pd\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib_venn import venn2, venn2_circles\n",
+    "import seaborn as sns\n",
+    "import mygene\n",
+    "import numpy as np\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import Cluster Data\n",
+    "\n",
+    "# GRO-seq\n",
+    "\n",
+    "gro_cluster_pre = pd.read_csv(\"GRO_seq_TFSEE/cluster_3_tfs.csv\")\n",
+    "gro_cluster_late = pd.read_csv(\"GRO_seq_TFSEE/cluster_4_tfs.csv\")\n",
+    "\n",
+    "# Histone \n",
+    "\n",
+    "histone_cluster_pre = pd.read_csv(\"Histone_TFSEE/cluster_2_tfs.csv\")\n",
+    "histone_cluster_late = pd.read_csv(\"Histone_TFSEE/cluster_3_tfs.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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w31zou66BvpUMea8cnugMH20Fs7aCBV1gTen/fp23BuKTIfEehK8DL1prm/j3JtlCZagJ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\nCG5TuMqLjwYA1IXlp8PEB2D60bAryIymaOWC8xwcNQJO+wWOjUAKgEA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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11daf8d30>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Make Venn Diagrams Myoblast\n",
+    "plt.figure(figsize=(10,10))\n",
+    "pre_universe = [set(gro_cluster_pre.symbol), set(histone_cluster_pre.symbol)]\n",
+    "pre_universe_venn = venn2(subsets=pre_universe, set_labels=('GRO-seq', 'Histone'))\n",
+    "pre_universe_subsets = venn2_circles(subsets=pre_universe, linestyle='solid', linewidth=2.0)\n",
+    "pre_universe_venn.get_patch_by_id('10').set_color('red')\n",
+    "pre_universe_venn.get_patch_by_id('01').set_color('blue')\n",
+    "pre_universe_venn.get_patch_by_id('11').set_color('#e098e1')\n",
+    "plt.savefig('pre_venn.eps')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/late_venn.eps b/late_venn.eps
new file mode 100644
index 0000000000000000000000000000000000000000..1142b56ba77f433c6bde5c0ba88da74234072093
--- /dev/null
+++ b/late_venn.eps
@@ -0,0 +1,512 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%%Title: late_venn.eps
+%%Creator: matplotlib version 2.0.2, http://matplotlib.org/
+%%CreationDate: Sun Oct 21 17:42:35 2018
+%%Orientation: portrait
+%%BoundingBox: -54 36 666 756
+%%EndComments
+%%BeginProlog
+/mpldict 8 dict def
+mpldict begin
+/m { moveto } bind def
+/l { lineto } bind def
+/r { rlineto } bind def
+/c { curveto } bind def
+/cl { closepath } bind def
+/box {
+m
+1 index 0 r
+0 exch r
+neg 0 r
+cl
+} bind def
+/clipbox {
+box
+clip
+newpath
+} bind def
+%!PS-Adobe-3.0 Resource-Font
+%%Title: DejaVu Sans
+%%Copyright: Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved. DejaVu changes are in public domain 
+%%Creator: Converted from TrueType to type 3 by PPR
+25 dict begin
+/_d{bind def}bind def
+/_m{moveto}_d
+/_l{lineto}_d
+/_cl{closepath eofill}_d
+/_c{curveto}_d
+/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d
+/_e{exec}_d
+/FontName /DejaVuSans def
+/PaintType 0 def
+/FontMatrix[.001 0 0 .001 0 0]def
+/FontBBox[-1021 -463 1793 1232]def
+/FontType 3 def
+/Encoding [ /hyphen /one /two /G /H /O /R /e /i /n /o /q /s /t ] def
+/FontInfo 10 dict dup begin
+/FamilyName (DejaVu Sans) def
+/FullName (DejaVu Sans) def
+/Notice (Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved. DejaVu changes are in public domain ) def
+/Weight (Book) def
+/Version (Version 2.35) def
+/ItalicAngle 0.0 def
+/isFixedPitch false def
+/UnderlinePosition -130 def
+/UnderlineThickness 90 def
+end readonly def
+/CharStrings 14 dict dup begin
+/hyphen{361 0 49 234 312 314 _sc
+49 314 _m
+312 314 _l
+312 234 _l
+49 234 _l
+49 314 _l
+_cl}_d
+/one{636 0 110 0 544 729 _sc
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+544 0 _l
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+_cl}_d
+/two{{636 0 73 0 536 742 _sc
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+}_e{359 742 419 723 464 685 _c
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+_cl}_e}_d
+/G{{775 0 56 -13 693 742 _sc
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+}_e{338 661 271 636 227 586 _c
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+_cl}_e}_d
+/H{752 0 98 0 654 729 _sc
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+/O{787 0 56 -13 731 742 _sc
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