From 84dbf23af489cc8e2efeb4101fb5f53f051ff30b Mon Sep 17 00:00:00 2001
From: Enching Luo <e1luo@ucsd.edu>
Date: Tue, 16 Feb 2016 06:05:20 -0800
Subject: [PATCH 1/3] hw2

---
 ..._compare_alignment_vs_quasialignment.ipynb | 4168 ++++++++++++++++-
 1 file changed, 3995 insertions(+), 173 deletions(-)

diff --git a/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb b/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
index 6c9fe1a..cd51c0c 100644
--- a/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
+++ b/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -67,9 +67,8 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "# Statistical plotting library we'll use\n",
-    "import seaborn as sns\n",
-    "\n",
-    "sns.set(style='ticks', context='notebook')\n",
+    "import seaborn as snsy\n",
+    "snsy.set(style='ticks', context='notebook')\n",
     "\n",
     "# This is necessary to show the plotted figures inside the notebook -- \"inline\" with the notebook cells\n",
     "%matplotlib inline"
@@ -93,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -105,7 +104,15 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/oasis/tscc/scratch/e1luo/shalek2013/processed_data\n"
+     ]
+    }
+   ],
    "source": [
     "cd ~/projects/shalek2013/processed_data"
    ]
@@ -128,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -140,7 +147,91 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>length</th>\n",
+       "      <th>eff_length</th>\n",
+       "      <th>est_counts</th>\n",
+       "      <th>tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|</th>\n",
+       "      <td>3634</td>\n",
+       "      <td>3389.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|</th>\n",
+       "      <td>3047</td>\n",
+       "      <td>2802.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|</th>\n",
+       "      <td>6869</td>\n",
+       "      <td>6624.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|</th>\n",
+       "      <td>3127</td>\n",
+       "      <td>2882.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|</th>\n",
+       "      <td>1977</td>\n",
+       "      <td>1732.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    length  eff_length  \\\n",
+       "target_id                                                                \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...    3634     3389.58   \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...    3047     2802.58   \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...    6869     6624.58   \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...    3127     2882.58   \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...    1977     1732.58   \n",
+       "\n",
+       "                                                    est_counts  tpm  \n",
+       "target_id                                                            \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...           0    0  \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...           0    0  \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...           0    0  \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...           0    0  \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...           0    0  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "s10_kallisto = pd.read_table('S10_kallisto/abundance.tsv', index_col='target_id')\n",
     "s10_kallisto.head()"
@@ -164,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -176,7 +267,91 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>length</th>\n",
+       "      <th>eff_length</th>\n",
+       "      <th>est_counts</th>\n",
+       "      <th>tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|mt-Nd4l-201|mt-Nd4l|297|CDS:1-297|</th>\n",
+       "      <td>297</td>\n",
+       "      <td>70.8467</td>\n",
+       "      <td>2438</td>\n",
+       "      <td>1204.930</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|mt-Nd4-201|mt-Nd4|1378|CDS:1-1378|</th>\n",
+       "      <td>1378</td>\n",
+       "      <td>1133.5800</td>\n",
+       "      <td>43114</td>\n",
+       "      <td>1331.720</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|mt-Nd5-201|mt-Nd5|1824|CDS:1-1824|</th>\n",
+       "      <td>1824</td>\n",
+       "      <td>1579.5800</td>\n",
+       "      <td>44220</td>\n",
+       "      <td>980.222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|mt-Nd6-201|mt-Nd6|519|CDS:1-519|</th>\n",
+       "      <td>519</td>\n",
+       "      <td>274.6980</td>\n",
+       "      <td>4520</td>\n",
+       "      <td>576.142</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|mt-Cytb-201|mt-Cytb|1144|CDS:1-1144|</th>\n",
+       "      <td>1144</td>\n",
+       "      <td>899.5790</td>\n",
+       "      <td>120234</td>\n",
+       "      <td>4679.880</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    length  eff_length  \\\n",
+       "target_id                                                                \n",
+       "ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|m...     297     70.8467   \n",
+       "ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|m...    1378   1133.5800   \n",
+       "ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|m...    1824   1579.5800   \n",
+       "ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|m...     519    274.6980   \n",
+       "ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|m...    1144    899.5790   \n",
+       "\n",
+       "                                                    est_counts       tpm  \n",
+       "target_id                                                                 \n",
+       "ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|m...        2438  1204.930  \n",
+       "ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|m...       43114  1331.720  \n",
+       "ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|m...       44220   980.222  \n",
+       "ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|m...        4520   576.142  \n",
+       "ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|m...      120234  4679.880  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "s10_kallisto.tail()"
    ]
@@ -201,7 +376,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -213,14 +388,206 @@
      "solution": true
     }
    },
-   "outputs": [],
-   "source": [
-    "# YOUR CODE HERE"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>length</th>\n",
+       "      <th>eff_length</th>\n",
+       "      <th>est_counts</th>\n",
+       "      <th>tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|</th>\n",
+       "      <td>3634</td>\n",
+       "      <td>3389.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|</th>\n",
+       "      <td>3047</td>\n",
+       "      <td>2802.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|</th>\n",
+       "      <td>6869</td>\n",
+       "      <td>6624.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|</th>\n",
+       "      <td>3127</td>\n",
+       "      <td>2882.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|</th>\n",
+       "      <td>1977</td>\n",
+       "      <td>1732.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000192650.5|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127247.2|Sox17-004|Sox17|3242|UTR5:1-1851|CDS:1852-2916|UTR3:2917-3242|</th>\n",
+       "      <td>3242</td>\n",
+       "      <td>2997.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000116652.7|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127246.1|Sox17-002|Sox17|1512|UTR5:1-249|CDS:250-1509|UTR3:1510-1512|</th>\n",
+       "      <td>1512</td>\n",
+       "      <td>1267.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000191647.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127267.2|Sox17-007|Sox17|406|UTR5:1-83|CDS:84-406|</th>\n",
+       "      <td>406</td>\n",
+       "      <td>163.270</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000191939.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127266.2|Sox17-006|Sox17|840|UTR5:1-329|CDS:330-840|</th>\n",
+       "      <td>840</td>\n",
+       "      <td>595.579</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000192913.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127248.2|Sox17-003|Sox17|1506|UTR5:1-997|CDS:998-1506|</th>\n",
+       "      <td>1506</td>\n",
+       "      <td>1261.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000130201.7|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072660.1|Mrpl15-002|Mrpl15|1894|UTR5:1-33|CDS:34-648|UTR3:649-1894|</th>\n",
+       "      <td>1894</td>\n",
+       "      <td>1649.580</td>\n",
+       "      <td>10.00000</td>\n",
+       "      <td>0.212263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000156816.6|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072659.1|Mrpl15-001|Mrpl15|4203|UTR5:1-62|CDS:63-950|UTR3:951-4203|</th>\n",
+       "      <td>4203</td>\n",
+       "      <td>3958.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000045689.13|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072661.1|Mrpl15-003|Mrpl15|497|UTR5:1-21|CDS:22-180|UTR3:181-497|</th>\n",
+       "      <td>497</td>\n",
+       "      <td>252.804</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|</th>\n",
+       "      <td>1569</td>\n",
+       "      <td>1324.580</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051163.2|Lypla1-002|Lypla1|1136|UTR5:1-126|CDS:127-801|UTR3:802-1136|</th>\n",
+       "      <td>1136</td>\n",
+       "      <td>891.579</td>\n",
+       "      <td>5.42556</td>\n",
+       "      <td>0.213075</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027036.10|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051162.1|Lypla1-001|Lypla1|2507|UTR5:1-91|CDS:92-784|UTR3:785-2507|</th>\n",
+       "      <td>2507</td>\n",
+       "      <td>2262.580</td>\n",
+       "      <td>518.90900</td>\n",
+       "      <td>8.030360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000150971.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051164.3|Lypla1-003|Lypla1|877|UTR5:1-84|CDS:85-750|UTR3:751-877|</th>\n",
+       "      <td>877</td>\n",
+       "      <td>632.579</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    length  eff_length  \\\n",
+       "target_id                                                                \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...    3634    3389.580   \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...    3047    2802.580   \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...    6869    6624.580   \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...    3127    2882.580   \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...    1977    1732.580   \n",
+       "ENSMUST00000192650.5|ENSMUSG00000025902.13|OTTM...    3242    2997.580   \n",
+       "ENSMUST00000116652.7|ENSMUSG00000025902.13|OTTM...    1512    1267.580   \n",
+       "ENSMUST00000191647.1|ENSMUSG00000025902.13|OTTM...     406     163.270   \n",
+       "ENSMUST00000191939.1|ENSMUSG00000025902.13|OTTM...     840     595.579   \n",
+       "ENSMUST00000192913.1|ENSMUSG00000025902.13|OTTM...    1506    1261.580   \n",
+       "ENSMUST00000130201.7|ENSMUSG00000033845.13|OTTM...    1894    1649.580   \n",
+       "ENSMUST00000156816.6|ENSMUSG00000033845.13|OTTM...    4203    3958.580   \n",
+       "ENSMUST00000045689.13|ENSMUSG00000033845.13|OTT...     497     252.804   \n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTM...    1569    1324.580   \n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTM...    1136     891.579   \n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTT...    2507    2262.580   \n",
+       "ENSMUST00000150971.7|ENSMUSG00000025903.14|OTTM...     877     632.579   \n",
+       "\n",
+       "                                                    est_counts       tpm  \n",
+       "target_id                                                                 \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...     0.00000  0.000000  \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000192650.5|ENSMUSG00000025902.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000116652.7|ENSMUSG00000025902.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000191647.1|ENSMUSG00000025902.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000191939.1|ENSMUSG00000025902.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000192913.1|ENSMUSG00000025902.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000130201.7|ENSMUSG00000033845.13|OTTM...    10.00000  0.212263  \n",
+       "ENSMUST00000156816.6|ENSMUSG00000033845.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000045689.13|ENSMUSG00000033845.13|OTT...     0.00000  0.000000  \n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTM...     0.00000  0.000000  \n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTM...     5.42556  0.213075  \n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTT...   518.90900  8.030360  \n",
+       "ENSMUST00000150971.7|ENSMUSG00000025903.14|OTTM...     0.00000  0.000000  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s10_kallisto.head(17)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -258,7 +625,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -270,9 +637,20 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(56504, 4)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "s13_kallisto.shape"
+    "s10_kallisto.shape"
    ]
   },
   {
@@ -295,7 +673,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -307,7 +685,91 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>length</th>\n",
+       "      <th>eff_length</th>\n",
+       "      <th>est_counts</th>\n",
+       "      <th>tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|</th>\n",
+       "      <td>3634</td>\n",
+       "      <td>3395.24</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.03967</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|</th>\n",
+       "      <td>3047</td>\n",
+       "      <td>2808.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|</th>\n",
+       "      <td>6869</td>\n",
+       "      <td>6630.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|</th>\n",
+       "      <td>3127</td>\n",
+       "      <td>2888.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|</th>\n",
+       "      <td>1977</td>\n",
+       "      <td>1738.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    length  eff_length  \\\n",
+       "target_id                                                                \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...    3634     3395.24   \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...    3047     2808.24   \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...    6869     6630.24   \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...    3127     2888.24   \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...    1977     1738.24   \n",
+       "\n",
+       "                                                    est_counts      tpm  \n",
+       "target_id                                                                \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...           2  0.03967  \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...           0  0.00000  \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...           0  0.00000  \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...           0  0.00000  \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...           0  0.00000  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "s13_kallisto = pd.read_table('S13_kallisto/abundance.tsv', index_col='target_id')\n",
     "s13_kallisto.head()"
@@ -333,7 +795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -345,14 +807,25 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(56504, 4)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "s13_kallisto.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -390,7 +863,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -403,9 +876,30 @@
     },
     "scrolled": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab747f2b198>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Wrm1mn70+TM+ePTe5bRbhl1LaBrgWGA0sBuamlO6NiD/WtmbV98KSLQ+/gQP6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\nRK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab747f2b080>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.jointplot(s10_kallisto['tpm'], s13_kallisto['tpm'])"
+    "snsy.jointplot(s10_kallisto['tpm'], s13_kallisto['tpm'])"
    ]
   },
   {
@@ -432,7 +926,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -444,9 +938,100 @@
      "solution": false
     }
    },
-   "outputs": [],
-   "source": [
-    "s10_kallisto['log2_tpm1000'] = np.log2(s10_kallisto['tpm']+10000)\n",
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>length</th>\n",
+       "      <th>eff_length</th>\n",
+       "      <th>est_counts</th>\n",
+       "      <th>tpm</th>\n",
+       "      <th>log2_tpm1</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|</th>\n",
+       "      <td>3634</td>\n",
+       "      <td>3389.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|</th>\n",
+       "      <td>3047</td>\n",
+       "      <td>2802.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|</th>\n",
+       "      <td>6869</td>\n",
+       "      <td>6624.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|</th>\n",
+       "      <td>3127</td>\n",
+       "      <td>2882.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|</th>\n",
+       "      <td>1977</td>\n",
+       "      <td>1732.58</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    length  eff_length  \\\n",
+       "target_id                                                                \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...    3634     3389.58   \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...    3047     2802.58   \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...    6869     6624.58   \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...    3127     2882.58   \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...    1977     1732.58   \n",
+       "\n",
+       "                                                    est_counts  tpm  log2_tpm1  \n",
+       "target_id                                                                       \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...           0    0          0  \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...           0    0          0  \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...           0    0          0  \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...           0    0          0  \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...           0    0          0  "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s10_kallisto['log2_tpm1'] = np.log2(s10_kallisto['tpm']+1)\n",
     "s10_kallisto.head()"
    ]
   },
@@ -468,7 +1053,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -481,16 +1066,116 @@
     },
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>length</th>\n",
+       "      <th>eff_length</th>\n",
+       "      <th>est_counts</th>\n",
+       "      <th>tpm</th>\n",
+       "      <th>log2_tpm1</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|</th>\n",
+       "      <td>3634</td>\n",
+       "      <td>3395.24</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.03967</td>\n",
+       "      <td>0.056126</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|</th>\n",
+       "      <td>3047</td>\n",
+       "      <td>2808.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|</th>\n",
+       "      <td>6869</td>\n",
+       "      <td>6630.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|</th>\n",
+       "      <td>3127</td>\n",
+       "      <td>2888.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|</th>\n",
+       "      <td>1977</td>\n",
+       "      <td>1738.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    length  eff_length  \\\n",
+       "target_id                                                                \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...    3634     3395.24   \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...    3047     2808.24   \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...    6869     6630.24   \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...    3127     2888.24   \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...    1977     1738.24   \n",
+       "\n",
+       "                                                    est_counts      tpm  \\\n",
+       "target_id                                                                 \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...           2  0.03967   \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...           0  0.00000   \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...           0  0.00000   \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...           0  0.00000   \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...           0  0.00000   \n",
+       "\n",
+       "                                                    log2_tpm1  \n",
+       "target_id                                                      \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...   0.056126  \n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...   0.000000  \n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...   0.000000  \n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...   0.000000  \n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...   0.000000  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
+    "s13_kallisto['log2_tpm1'] = np.log2(s13_kallisto['tpm']+1)\n",
     "\n",
     "s13_kallisto.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -505,8 +1190,7 @@
    "outputs": [],
    "source": [
     "gene_id = 'ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|'\n",
-    "\n",
-    "assert s13_kallisto.loc[gene_id, 'log2_tpm'] == 0.056126371311968043"
+    "assert s13_kallisto.loc[gene_id, 'log2_tpm1'] == 0.056126371311968043"
    ]
   },
   {
@@ -529,7 +1213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -541,16 +1225,37 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab74616cda0>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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eg4NYc8/lDCeaMBY/EBVRqavT0r3esNuHVRu6cPfqzQU5t0j7WgPDHu61RQXBHhNREZV6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\nERGRoTCYiIjIUBhMRERkKP8frMcd6EO3Qo8AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab74616c4e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "snsy.jointplot(s10_kallisto['log2_tpm1'], s13_kallisto['log2_tpm1'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
-    "collapsed": true,
+    "collapsed": false,
     "deletable": false,
     "nbgrader": {
      "checksum": "5e96f2e5cb4899f7fef9d47e5b1b0e27",
@@ -563,7 +1268,7 @@
    },
    "outputs": [],
    "source": [
-    "assert isinstance(_, sns.axisgrid.JointGrid)"
+    "assert isinstance(_, snsy.axisgrid.JointGrid)"
    ]
   },
   {
@@ -584,7 +1289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -596,11 +1301,32 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab74b0b72b0>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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3lW0PKF+rkGvDJlX4zJ/doioFzyftibROhzWpGk9RgDNmTEq5+2/i+UtP3XsF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\niIjIVP5/Yf0muFQECCoAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab74b0b74e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "from scipy.stats import spearmanr\n",
     "\n",
-    "sns.jointplot(s10_kallisto['log2_tpm'], s13_kallisto['log2_tpm'], stat_func=spearmanr)"
+    "snsy.jointplot(s10_kallisto['log2_tpm1'], s13_kallisto['log2_tpm1'], stat_func=spearmanr)"
    ]
   },
   {
@@ -621,7 +1347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -633,9 +1359,71 @@
      "solution": false
     }
    },
-   "outputs": [],
-   "source": [
-    "kallisto_log2_tpm = pd.concat([s10_kallisto['log2_tpm'], s13_kallisto['log2_tpm']], axis=1, keys=['s10', 's13'])\n",
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>s10</th>\n",
+       "      <th>s13</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.056126</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    s10       s13\n",
+       "target_id                                                        \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...    0  0.056126\n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...    0  0.000000\n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...    0  0.000000\n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...    0  0.000000\n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...    0  0.000000"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "kallisto_log2_tpm = pd.concat([s10_kallisto['log2_tpm1'], s13_kallisto['log2_tpm1']], axis=1, keys=['s10', 's13'])\n",
     "kallisto_log2_tpm.head()"
    ]
   },
@@ -657,7 +1445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -669,7 +1457,408 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>s10</th>\n",
+       "      <th>s13</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000192650.5|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127247.2|Sox17-004|Sox17|3242|UTR5:1-1851|CDS:1852-2916|UTR3:2917-3242|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000116652.7|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127246.1|Sox17-002|Sox17|1512|UTR5:1-249|CDS:250-1509|UTR3:1510-1512|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000191647.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127267.2|Sox17-007|Sox17|406|UTR5:1-83|CDS:84-406|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000191939.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127266.2|Sox17-006|Sox17|840|UTR5:1-329|CDS:330-840|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000192913.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127248.2|Sox17-003|Sox17|1506|UTR5:1-997|CDS:998-1506|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000130201.7|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072660.1|Mrpl15-002|Mrpl15|1894|UTR5:1-33|CDS:34-648|UTR3:649-1894|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000156816.6|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072659.1|Mrpl15-001|Mrpl15|4203|UTR5:1-62|CDS:63-950|UTR3:951-4203|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000045689.13|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072661.1|Mrpl15-003|Mrpl15|497|UTR5:1-21|CDS:22-180|UTR3:181-497|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051163.2|Lypla1-002|Lypla1|1136|UTR5:1-126|CDS:127-801|UTR3:802-1136|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027036.10|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051162.1|Lypla1-001|Lypla1|2507|UTR5:1-91|CDS:92-784|UTR3:785-2507|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000150971.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051164.3|Lypla1-003|Lypla1|877|UTR5:1-84|CDS:85-750|UTR3:751-877|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000119612.8|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051170.2|Lypla1-009|Lypla1|529|UTR5:1-18|CDS:19-297|UTR3:298-529|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000137887.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051168.2|Lypla1-007|Lypla1|444|UTR5:1-16|CDS:17-444|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000115529.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051169.1|Lypla1-008|Lypla1|930|UTR5:1-3|CDS:4-594|UTR3:595-930|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000131119.1|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051167.3|Lypla1-006|Lypla1|660|UTR5:1-234|CDS:235-660|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000155020.1|ENSMUSG00000104217.1|OTTMUSG00000050100.1|OTTMUST00000127419.1|Gm37988-001|Gm37988|825|UTR5:1-22|CDS:23-211|UTR3:212-825|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000081551.13|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111602.1|Tcea1-001|Tcea1|2547|UTR5:1-100|CDS:101-1006|UTR3:1007-2547|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000165720.2|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111603.1|Tcea1-002|Tcea1|2854|UTR5:1-370|CDS:371-1309|UTR3:1310-2854|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000002533.14|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072687.1|Rgs20-002|Rgs20|1778|UTR5:1-160|CDS:161-880|UTR3:881-1778|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000118000.7|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072688.2|Rgs20-001|Rgs20|2125|UTR5:1-108|CDS:109-1227|UTR3:1228-2125|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000119256.7|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072706.2|Rgs20-005|Rgs20|883|UTR5:1-184|CDS:185-811|UTR3:812-883|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000170566.1|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000092053.1|Rgs20-007|Rgs20|577|CDS:1-120|UTR3:121-577|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000147158.1|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072705.2|Rgs20-004|Rgs20|707|UTR5:1-105|CDS:106-707|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000192847.5|ENSMUSG00000033793.12|OTTMUSG00000050145.9|OTTMUST00000127492.1|Atp6v1h-003|Atp6v1h|1662|UTR5:1-161|CDS:162-1487|UTR3:1488-1662|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000178889.1|ENSMUSG00000095650.2|OTTMUSG00000042966.1|-|Gm20854-201|Gm20854|1002|UTR5:1-175|CDS:176-859|UTR3:860-1002|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000181549.1|ENSMUSG00000095650.2|OTTMUSG00000042966.1|OTTMUST00000112802.1|Gm20854-001|Gm20854|1156|UTR5:1-335|CDS:336-1019|UTR3:1020-1156|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000188754.1|ENSMUSG00000100240.1|OTTMUSG00000047031.1|OTTMUST00000121805.1|Gm20820-001|Gm20820|921|UTR5:1-58|CDS:59-727|UTR3:728-921|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000189543.6|ENSMUSG00000094399.7|OTTMUSG00000047083.1|OTTMUST00000121876.1|Gm21477-001|Gm21477|924|UTR5:1-58|CDS:59-727|UTR3:728-924|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000179970.1|ENSMUSG00000094399.7|OTTMUSG00000047083.1|-|Gm21477-201|Gm21477|498|CDS:1-498|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000186493.1|ENSMUSG00000099856.1|OTTMUSG00000047138.1|OTTMUST00000121968.1|Gm20906-001|Gm20906|923|UTR5:1-58|CDS:59-727|UTR3:728-923|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000187146.1|ENSMUSG00000101915.1|OTTMUSG00000047149.1|OTTMUST00000121980.1|Gm28102-001|Gm28102|924|UTR5:1-58|CDS:59-727|UTR3:728-924|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000186443.1|ENSMUSG00000102045.1|OTTMUSG00000047309.1|OTTMUST00000122306.1|Gm21294-001|Gm21294|934|UTR5:1-73|CDS:74-742|UTR3:743-934|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000188269.1|ENSMUSG00000100608.1|OTTMUSG00000047316.1|OTTMUST00000122318.1|Gm21996-001|Gm21996|931|UTR5:1-58|CDS:59-727|UTR3:728-931|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000190558.6|ENSMUSG00000096178.7|OTTMUSG00000047352.1|OTTMUST00000122361.1|Gm20837-001|Gm20837|844|UTR5:1-73|CDS:74-640|UTR3:641-844|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000178446.1|ENSMUSG00000096178.7|OTTMUSG00000047352.1|-|Gm20837-201|Gm20837|498|CDS:1-498|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000177893.1|ENSMUSG00000095366.1|-|-|Gm21860-201|Gm21860|309|CDS:1-309|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000179483.7|ENSMUSG00000096768.7|-|-|Erdr1-204|Erdr1|688|UTR5:1-70|CDS:71-688|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000177591.1|ENSMUSG00000096768.7|-|-|Erdr1-201|Erdr1|774|UTR5:1-229|CDS:230-757|UTR3:758-774|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000177671.7|ENSMUSG00000096768.7|-|-|Erdr1-202|Erdr1|708|UTR5:1-159|CDS:160-528|UTR3:529-708|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000179077.1|ENSMUSG00000096768.7|-|-|Erdr1-203|Erdr1|887|UTR5:1-74|CDS:75-512|UTR3:513-887|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000179623.1|ENSMUSG00000096850.1|-|-|Gm21748-201|Gm21748|309|CDS:1-309|</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082392.1|ENSMUSG00000064341.1|-|-|mt-Nd1-201|mt-Nd1|957|CDS:1-957|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082396.1|ENSMUSG00000064345.1|-|-|mt-Nd2-201|mt-Nd2|1038|CDS:1-1038|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082402.1|ENSMUSG00000064351.1|-|-|mt-Co1-201|mt-Co1|1545|CDS:1-1545|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082405.1|ENSMUSG00000064354.1|-|-|mt-Co2-201|mt-Co2|684|CDS:1-684|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082407.1|ENSMUSG00000064356.3|-|-|mt-Atp8-201|mt-Atp8|204|CDS:1-204|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082408.1|ENSMUSG00000064357.1|-|-|mt-Atp6-201|mt-Atp6|681|CDS:1-681|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082409.1|ENSMUSG00000064358.1|-|-|mt-Co3-201|mt-Co3|784|CDS:1-784|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082411.1|ENSMUSG00000064360.1|-|-|mt-Nd3-201|mt-Nd3|348|CDS:1-348|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|mt-Nd4l-201|mt-Nd4l|297|CDS:1-297|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|mt-Nd4-201|mt-Nd4|1378|CDS:1-1378|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|mt-Nd5-201|mt-Nd5|1824|CDS:1-1824|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|mt-Nd6-201|mt-Nd6|519|CDS:1-519|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|mt-Cytb-201|mt-Cytb|1144|CDS:1-1144|</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>56504 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                      s10    s13\n",
+       "target_id                                                       \n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMU...  False  False\n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTM...  False  False\n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTM...  False  False\n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTM...  False  False\n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTM...  False  False\n",
+       "ENSMUST00000192650.5|ENSMUSG00000025902.13|OTTM...  False  False\n",
+       "ENSMUST00000116652.7|ENSMUSG00000025902.13|OTTM...  False  False\n",
+       "ENSMUST00000191647.1|ENSMUSG00000025902.13|OTTM...  False  False\n",
+       "ENSMUST00000191939.1|ENSMUSG00000025902.13|OTTM...  False  False\n",
+       "ENSMUST00000192913.1|ENSMUSG00000025902.13|OTTM...  False  False\n",
+       "ENSMUST00000130201.7|ENSMUSG00000033845.13|OTTM...  False  False\n",
+       "ENSMUST00000156816.6|ENSMUSG00000033845.13|OTTM...  False  False\n",
+       "ENSMUST00000045689.13|ENSMUSG00000033845.13|OTT...  False  False\n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTM...  False   True\n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTM...  False   True\n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTT...   True   True\n",
+       "ENSMUST00000150971.7|ENSMUSG00000025903.14|OTTM...  False  False\n",
+       "ENSMUST00000119612.8|ENSMUSG00000025903.14|OTTM...  False  False\n",
+       "ENSMUST00000137887.7|ENSMUSG00000025903.14|OTTM...  False  False\n",
+       "ENSMUST00000115529.7|ENSMUSG00000025903.14|OTTM...  False  False\n",
+       "ENSMUST00000131119.1|ENSMUSG00000025903.14|OTTM...  False  False\n",
+       "ENSMUST00000155020.1|ENSMUSG00000104217.1|OTTMU...  False  False\n",
+       "ENSMUST00000081551.13|ENSMUSG00000033813.15|OTT...   True   True\n",
+       "ENSMUST00000165720.2|ENSMUSG00000033813.15|OTTM...  False  False\n",
+       "ENSMUST00000002533.14|ENSMUSG00000002459.17|OTT...   True   True\n",
+       "ENSMUST00000118000.7|ENSMUSG00000002459.17|OTTM...  False  False\n",
+       "ENSMUST00000119256.7|ENSMUSG00000002459.17|OTTM...  False  False\n",
+       "ENSMUST00000170566.1|ENSMUSG00000002459.17|OTTM...  False  False\n",
+       "ENSMUST00000147158.1|ENSMUSG00000002459.17|OTTM...  False  False\n",
+       "ENSMUST00000192847.5|ENSMUSG00000033793.12|OTTM...   True  False\n",
+       "...                                                   ...    ...\n",
+       "ENSMUST00000178889.1|ENSMUSG00000095650.2|OTTMU...  False  False\n",
+       "ENSMUST00000181549.1|ENSMUSG00000095650.2|OTTMU...  False  False\n",
+       "ENSMUST00000188754.1|ENSMUSG00000100240.1|OTTMU...  False  False\n",
+       "ENSMUST00000189543.6|ENSMUSG00000094399.7|OTTMU...  False  False\n",
+       "ENSMUST00000179970.1|ENSMUSG00000094399.7|OTTMU...  False  False\n",
+       "ENSMUST00000186493.1|ENSMUSG00000099856.1|OTTMU...  False  False\n",
+       "ENSMUST00000187146.1|ENSMUSG00000101915.1|OTTMU...  False  False\n",
+       "ENSMUST00000186443.1|ENSMUSG00000102045.1|OTTMU...  False  False\n",
+       "ENSMUST00000188269.1|ENSMUSG00000100608.1|OTTMU...  False  False\n",
+       "ENSMUST00000190558.6|ENSMUSG00000096178.7|OTTMU...  False  False\n",
+       "ENSMUST00000178446.1|ENSMUSG00000096178.7|OTTMU...  False  False\n",
+       "ENSMUST00000177893.1|ENSMUSG00000095366.1|-|-|G...  False  False\n",
+       "ENSMUST00000179483.7|ENSMUSG00000096768.7|-|-|E...  False  False\n",
+       "ENSMUST00000177591.1|ENSMUSG00000096768.7|-|-|E...  False  False\n",
+       "ENSMUST00000177671.7|ENSMUSG00000096768.7|-|-|E...  False  False\n",
+       "ENSMUST00000179077.1|ENSMUSG00000096768.7|-|-|E...  False  False\n",
+       "ENSMUST00000179623.1|ENSMUSG00000096850.1|-|-|G...  False  False\n",
+       "ENSMUST00000082392.1|ENSMUSG00000064341.1|-|-|m...   True   True\n",
+       "ENSMUST00000082396.1|ENSMUSG00000064345.1|-|-|m...   True   True\n",
+       "ENSMUST00000082402.1|ENSMUSG00000064351.1|-|-|m...   True   True\n",
+       "ENSMUST00000082405.1|ENSMUSG00000064354.1|-|-|m...   True   True\n",
+       "ENSMUST00000082407.1|ENSMUSG00000064356.3|-|-|m...   True   True\n",
+       "ENSMUST00000082408.1|ENSMUSG00000064357.1|-|-|m...   True   True\n",
+       "ENSMUST00000082409.1|ENSMUSG00000064358.1|-|-|m...   True   True\n",
+       "ENSMUST00000082411.1|ENSMUSG00000064360.1|-|-|m...   True   True\n",
+       "ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|m...   True   True\n",
+       "ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|m...   True   True\n",
+       "ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|m...   True   True\n",
+       "ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|m...   True   True\n",
+       "ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|m...   True   True\n",
+       "\n",
+       "[56504 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_log2_tpm > 1"
    ]
@@ -692,7 +1881,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -704,7 +1893,20 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "s10    6121\n",
+       "s13    6380\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "(kallisto_log2_tpm > 1).sum()"
    ]
@@ -727,7 +1929,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -739,7 +1941,80 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "target_id\n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|           0\n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|                0\n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|            0\n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|      0\n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|        0\n",
+       "ENSMUST00000192650.5|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127247.2|Sox17-004|Sox17|3242|UTR5:1-1851|CDS:1852-2916|UTR3:2917-3242|      0\n",
+       "ENSMUST00000116652.7|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127246.1|Sox17-002|Sox17|1512|UTR5:1-249|CDS:250-1509|UTR3:1510-1512|        0\n",
+       "ENSMUST00000191647.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127267.2|Sox17-007|Sox17|406|UTR5:1-83|CDS:84-406|                           0\n",
+       "ENSMUST00000191939.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127266.2|Sox17-006|Sox17|840|UTR5:1-329|CDS:330-840|                         0\n",
+       "ENSMUST00000192913.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127248.2|Sox17-003|Sox17|1506|UTR5:1-997|CDS:998-1506|                       0\n",
+       "ENSMUST00000130201.7|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072660.1|Mrpl15-002|Mrpl15|1894|UTR5:1-33|CDS:34-648|UTR3:649-1894|          0\n",
+       "ENSMUST00000156816.6|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072659.1|Mrpl15-001|Mrpl15|4203|UTR5:1-62|CDS:63-950|UTR3:951-4203|          0\n",
+       "ENSMUST00000045689.13|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072661.1|Mrpl15-003|Mrpl15|497|UTR5:1-21|CDS:22-180|UTR3:181-497|           0\n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|          1\n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051163.2|Lypla1-002|Lypla1|1136|UTR5:1-126|CDS:127-801|UTR3:802-1136|        1\n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051162.1|Lypla1-001|Lypla1|2507|UTR5:1-91|CDS:92-784|UTR3:785-2507|         2\n",
+       "ENSMUST00000150971.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051164.3|Lypla1-003|Lypla1|877|UTR5:1-84|CDS:85-750|UTR3:751-877|            0\n",
+       "ENSMUST00000119612.8|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051170.2|Lypla1-009|Lypla1|529|UTR5:1-18|CDS:19-297|UTR3:298-529|            0\n",
+       "ENSMUST00000137887.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051168.2|Lypla1-007|Lypla1|444|UTR5:1-16|CDS:17-444|                         0\n",
+       "ENSMUST00000115529.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051169.1|Lypla1-008|Lypla1|930|UTR5:1-3|CDS:4-594|UTR3:595-930|              0\n",
+       "ENSMUST00000131119.1|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051167.3|Lypla1-006|Lypla1|660|UTR5:1-234|CDS:235-660|                       0\n",
+       "ENSMUST00000155020.1|ENSMUSG00000104217.1|OTTMUSG00000050100.1|OTTMUST00000127419.1|Gm37988-001|Gm37988|825|UTR5:1-22|CDS:23-211|UTR3:212-825|           0\n",
+       "ENSMUST00000081551.13|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111602.1|Tcea1-001|Tcea1|2547|UTR5:1-100|CDS:101-1006|UTR3:1007-2547|       2\n",
+       "ENSMUST00000165720.2|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111603.1|Tcea1-002|Tcea1|2854|UTR5:1-370|CDS:371-1309|UTR3:1310-2854|        0\n",
+       "ENSMUST00000002533.14|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072687.1|Rgs20-002|Rgs20|1778|UTR5:1-160|CDS:161-880|UTR3:881-1778|         2\n",
+       "ENSMUST00000118000.7|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072688.2|Rgs20-001|Rgs20|2125|UTR5:1-108|CDS:109-1227|UTR3:1228-2125|        0\n",
+       "ENSMUST00000119256.7|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072706.2|Rgs20-005|Rgs20|883|UTR5:1-184|CDS:185-811|UTR3:812-883|            0\n",
+       "ENSMUST00000170566.1|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000092053.1|Rgs20-007|Rgs20|577|CDS:1-120|UTR3:121-577|                         0\n",
+       "ENSMUST00000147158.1|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072705.2|Rgs20-004|Rgs20|707|UTR5:1-105|CDS:106-707|                         0\n",
+       "ENSMUST00000192847.5|ENSMUSG00000033793.12|OTTMUSG00000050145.9|OTTMUST00000127492.1|Atp6v1h-003|Atp6v1h|1662|UTR5:1-161|CDS:162-1487|UTR3:1488-1662|    1\n",
+       "                                                                                                                                                        ..\n",
+       "ENSMUST00000178889.1|ENSMUSG00000095650.2|OTTMUSG00000042966.1|-|Gm20854-201|Gm20854|1002|UTR5:1-175|CDS:176-859|UTR3:860-1002|                          0\n",
+       "ENSMUST00000181549.1|ENSMUSG00000095650.2|OTTMUSG00000042966.1|OTTMUST00000112802.1|Gm20854-001|Gm20854|1156|UTR5:1-335|CDS:336-1019|UTR3:1020-1156|     0\n",
+       "ENSMUST00000188754.1|ENSMUSG00000100240.1|OTTMUSG00000047031.1|OTTMUST00000121805.1|Gm20820-001|Gm20820|921|UTR5:1-58|CDS:59-727|UTR3:728-921|           0\n",
+       "ENSMUST00000189543.6|ENSMUSG00000094399.7|OTTMUSG00000047083.1|OTTMUST00000121876.1|Gm21477-001|Gm21477|924|UTR5:1-58|CDS:59-727|UTR3:728-924|           0\n",
+       "ENSMUST00000179970.1|ENSMUSG00000094399.7|OTTMUSG00000047083.1|-|Gm21477-201|Gm21477|498|CDS:1-498|                                                      0\n",
+       "ENSMUST00000186493.1|ENSMUSG00000099856.1|OTTMUSG00000047138.1|OTTMUST00000121968.1|Gm20906-001|Gm20906|923|UTR5:1-58|CDS:59-727|UTR3:728-923|           0\n",
+       "ENSMUST00000187146.1|ENSMUSG00000101915.1|OTTMUSG00000047149.1|OTTMUST00000121980.1|Gm28102-001|Gm28102|924|UTR5:1-58|CDS:59-727|UTR3:728-924|           0\n",
+       "ENSMUST00000186443.1|ENSMUSG00000102045.1|OTTMUSG00000047309.1|OTTMUST00000122306.1|Gm21294-001|Gm21294|934|UTR5:1-73|CDS:74-742|UTR3:743-934|           0\n",
+       "ENSMUST00000188269.1|ENSMUSG00000100608.1|OTTMUSG00000047316.1|OTTMUST00000122318.1|Gm21996-001|Gm21996|931|UTR5:1-58|CDS:59-727|UTR3:728-931|           0\n",
+       "ENSMUST00000190558.6|ENSMUSG00000096178.7|OTTMUSG00000047352.1|OTTMUST00000122361.1|Gm20837-001|Gm20837|844|UTR5:1-73|CDS:74-640|UTR3:641-844|           0\n",
+       "ENSMUST00000178446.1|ENSMUSG00000096178.7|OTTMUSG00000047352.1|-|Gm20837-201|Gm20837|498|CDS:1-498|                                                      0\n",
+       "ENSMUST00000177893.1|ENSMUSG00000095366.1|-|-|Gm21860-201|Gm21860|309|CDS:1-309|                                                                         0\n",
+       "ENSMUST00000179483.7|ENSMUSG00000096768.7|-|-|Erdr1-204|Erdr1|688|UTR5:1-70|CDS:71-688|                                                                  0\n",
+       "ENSMUST00000177591.1|ENSMUSG00000096768.7|-|-|Erdr1-201|Erdr1|774|UTR5:1-229|CDS:230-757|UTR3:758-774|                                                   0\n",
+       "ENSMUST00000177671.7|ENSMUSG00000096768.7|-|-|Erdr1-202|Erdr1|708|UTR5:1-159|CDS:160-528|UTR3:529-708|                                                   0\n",
+       "ENSMUST00000179077.1|ENSMUSG00000096768.7|-|-|Erdr1-203|Erdr1|887|UTR5:1-74|CDS:75-512|UTR3:513-887|                                                     0\n",
+       "ENSMUST00000179623.1|ENSMUSG00000096850.1|-|-|Gm21748-201|Gm21748|309|CDS:1-309|                                                                         0\n",
+       "ENSMUST00000082392.1|ENSMUSG00000064341.1|-|-|mt-Nd1-201|mt-Nd1|957|CDS:1-957|                                                                           2\n",
+       "ENSMUST00000082396.1|ENSMUSG00000064345.1|-|-|mt-Nd2-201|mt-Nd2|1038|CDS:1-1038|                                                                         2\n",
+       "ENSMUST00000082402.1|ENSMUSG00000064351.1|-|-|mt-Co1-201|mt-Co1|1545|CDS:1-1545|                                                                         2\n",
+       "ENSMUST00000082405.1|ENSMUSG00000064354.1|-|-|mt-Co2-201|mt-Co2|684|CDS:1-684|                                                                           2\n",
+       "ENSMUST00000082407.1|ENSMUSG00000064356.3|-|-|mt-Atp8-201|mt-Atp8|204|CDS:1-204|                                                                         2\n",
+       "ENSMUST00000082408.1|ENSMUSG00000064357.1|-|-|mt-Atp6-201|mt-Atp6|681|CDS:1-681|                                                                         2\n",
+       "ENSMUST00000082409.1|ENSMUSG00000064358.1|-|-|mt-Co3-201|mt-Co3|784|CDS:1-784|                                                                           2\n",
+       "ENSMUST00000082411.1|ENSMUSG00000064360.1|-|-|mt-Nd3-201|mt-Nd3|348|CDS:1-348|                                                                           2\n",
+       "ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|mt-Nd4l-201|mt-Nd4l|297|CDS:1-297|                                                                         2\n",
+       "ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|mt-Nd4-201|mt-Nd4|1378|CDS:1-1378|                                                                         2\n",
+       "ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|mt-Nd5-201|mt-Nd5|1824|CDS:1-1824|                                                                         2\n",
+       "ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|mt-Nd6-201|mt-Nd6|519|CDS:1-519|                                                                           2\n",
+       "ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|mt-Cytb-201|mt-Cytb|1144|CDS:1-1144|                                                                       2\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "(kallisto_log2_tpm > 1).sum(axis=1)"
    ]
@@ -762,7 +2037,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -774,7 +2049,80 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "target_id\n",
+       "ENSMUST00000070533.4|ENSMUSG00000051951.5|OTTMUSG00000026353.2|OTTMUST00000065166.1|Xkr4-001|Xkr4|3634|UTR5:1-150|CDS:151-2094|UTR3:2095-3634|           False\n",
+       "ENSMUST00000194992.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127194.1|Rp1-002|Rp1|3047|UTR5:1-54|CDS:55-912|UTR3:913-3047|                False\n",
+       "ENSMUST00000027032.5|ENSMUSG00000025900.10|OTTMUSG00000049985.2|OTTMUST00000127195.2|Rp1-001|Rp1|6869|UTR5:1-127|CDS:128-6415|UTR3:6416-6869|            False\n",
+       "ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-001|Sox17|3127|UTR5:1-1082|CDS:1083-2342|UTR3:2343-3127|      False\n",
+       "ENSMUST00000195555.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127249.1|Sox17-005|Sox17|1977|UTR5:1-635|CDS:636-1511|UTR3:1512-1977|        False\n",
+       "ENSMUST00000192650.5|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127247.2|Sox17-004|Sox17|3242|UTR5:1-1851|CDS:1852-2916|UTR3:2917-3242|      False\n",
+       "ENSMUST00000116652.7|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127246.1|Sox17-002|Sox17|1512|UTR5:1-249|CDS:250-1509|UTR3:1510-1512|        False\n",
+       "ENSMUST00000191647.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127267.2|Sox17-007|Sox17|406|UTR5:1-83|CDS:84-406|                           False\n",
+       "ENSMUST00000191939.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127266.2|Sox17-006|Sox17|840|UTR5:1-329|CDS:330-840|                         False\n",
+       "ENSMUST00000192913.1|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127248.2|Sox17-003|Sox17|1506|UTR5:1-997|CDS:998-1506|                       False\n",
+       "ENSMUST00000130201.7|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072660.1|Mrpl15-002|Mrpl15|1894|UTR5:1-33|CDS:34-648|UTR3:649-1894|          False\n",
+       "ENSMUST00000156816.6|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072659.1|Mrpl15-001|Mrpl15|4203|UTR5:1-62|CDS:63-950|UTR3:951-4203|          False\n",
+       "ENSMUST00000045689.13|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072661.1|Mrpl15-003|Mrpl15|497|UTR5:1-21|CDS:22-180|UTR3:181-497|           False\n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|           True\n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051163.2|Lypla1-002|Lypla1|1136|UTR5:1-126|CDS:127-801|UTR3:802-1136|         True\n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051162.1|Lypla1-001|Lypla1|2507|UTR5:1-91|CDS:92-784|UTR3:785-2507|          True\n",
+       "ENSMUST00000150971.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051164.3|Lypla1-003|Lypla1|877|UTR5:1-84|CDS:85-750|UTR3:751-877|            False\n",
+       "ENSMUST00000119612.8|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051170.2|Lypla1-009|Lypla1|529|UTR5:1-18|CDS:19-297|UTR3:298-529|            False\n",
+       "ENSMUST00000137887.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051168.2|Lypla1-007|Lypla1|444|UTR5:1-16|CDS:17-444|                         False\n",
+       "ENSMUST00000115529.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051169.1|Lypla1-008|Lypla1|930|UTR5:1-3|CDS:4-594|UTR3:595-930|              False\n",
+       "ENSMUST00000131119.1|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051167.3|Lypla1-006|Lypla1|660|UTR5:1-234|CDS:235-660|                       False\n",
+       "ENSMUST00000155020.1|ENSMUSG00000104217.1|OTTMUSG00000050100.1|OTTMUST00000127419.1|Gm37988-001|Gm37988|825|UTR5:1-22|CDS:23-211|UTR3:212-825|           False\n",
+       "ENSMUST00000081551.13|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111602.1|Tcea1-001|Tcea1|2547|UTR5:1-100|CDS:101-1006|UTR3:1007-2547|        True\n",
+       "ENSMUST00000165720.2|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111603.1|Tcea1-002|Tcea1|2854|UTR5:1-370|CDS:371-1309|UTR3:1310-2854|        False\n",
+       "ENSMUST00000002533.14|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072687.1|Rgs20-002|Rgs20|1778|UTR5:1-160|CDS:161-880|UTR3:881-1778|          True\n",
+       "ENSMUST00000118000.7|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072688.2|Rgs20-001|Rgs20|2125|UTR5:1-108|CDS:109-1227|UTR3:1228-2125|        False\n",
+       "ENSMUST00000119256.7|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072706.2|Rgs20-005|Rgs20|883|UTR5:1-184|CDS:185-811|UTR3:812-883|            False\n",
+       "ENSMUST00000170566.1|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000092053.1|Rgs20-007|Rgs20|577|CDS:1-120|UTR3:121-577|                         False\n",
+       "ENSMUST00000147158.1|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072705.2|Rgs20-004|Rgs20|707|UTR5:1-105|CDS:106-707|                         False\n",
+       "ENSMUST00000192847.5|ENSMUSG00000033793.12|OTTMUSG00000050145.9|OTTMUST00000127492.1|Atp6v1h-003|Atp6v1h|1662|UTR5:1-161|CDS:162-1487|UTR3:1488-1662|     True\n",
+       "                                                                                                                                                         ...  \n",
+       "ENSMUST00000178889.1|ENSMUSG00000095650.2|OTTMUSG00000042966.1|-|Gm20854-201|Gm20854|1002|UTR5:1-175|CDS:176-859|UTR3:860-1002|                          False\n",
+       "ENSMUST00000181549.1|ENSMUSG00000095650.2|OTTMUSG00000042966.1|OTTMUST00000112802.1|Gm20854-001|Gm20854|1156|UTR5:1-335|CDS:336-1019|UTR3:1020-1156|     False\n",
+       "ENSMUST00000188754.1|ENSMUSG00000100240.1|OTTMUSG00000047031.1|OTTMUST00000121805.1|Gm20820-001|Gm20820|921|UTR5:1-58|CDS:59-727|UTR3:728-921|           False\n",
+       "ENSMUST00000189543.6|ENSMUSG00000094399.7|OTTMUSG00000047083.1|OTTMUST00000121876.1|Gm21477-001|Gm21477|924|UTR5:1-58|CDS:59-727|UTR3:728-924|           False\n",
+       "ENSMUST00000179970.1|ENSMUSG00000094399.7|OTTMUSG00000047083.1|-|Gm21477-201|Gm21477|498|CDS:1-498|                                                      False\n",
+       "ENSMUST00000186493.1|ENSMUSG00000099856.1|OTTMUSG00000047138.1|OTTMUST00000121968.1|Gm20906-001|Gm20906|923|UTR5:1-58|CDS:59-727|UTR3:728-923|           False\n",
+       "ENSMUST00000187146.1|ENSMUSG00000101915.1|OTTMUSG00000047149.1|OTTMUST00000121980.1|Gm28102-001|Gm28102|924|UTR5:1-58|CDS:59-727|UTR3:728-924|           False\n",
+       "ENSMUST00000186443.1|ENSMUSG00000102045.1|OTTMUSG00000047309.1|OTTMUST00000122306.1|Gm21294-001|Gm21294|934|UTR5:1-73|CDS:74-742|UTR3:743-934|           False\n",
+       "ENSMUST00000188269.1|ENSMUSG00000100608.1|OTTMUSG00000047316.1|OTTMUST00000122318.1|Gm21996-001|Gm21996|931|UTR5:1-58|CDS:59-727|UTR3:728-931|           False\n",
+       "ENSMUST00000190558.6|ENSMUSG00000096178.7|OTTMUSG00000047352.1|OTTMUST00000122361.1|Gm20837-001|Gm20837|844|UTR5:1-73|CDS:74-640|UTR3:641-844|           False\n",
+       "ENSMUST00000178446.1|ENSMUSG00000096178.7|OTTMUSG00000047352.1|-|Gm20837-201|Gm20837|498|CDS:1-498|                                                      False\n",
+       "ENSMUST00000177893.1|ENSMUSG00000095366.1|-|-|Gm21860-201|Gm21860|309|CDS:1-309|                                                                         False\n",
+       "ENSMUST00000179483.7|ENSMUSG00000096768.7|-|-|Erdr1-204|Erdr1|688|UTR5:1-70|CDS:71-688|                                                                  False\n",
+       "ENSMUST00000177591.1|ENSMUSG00000096768.7|-|-|Erdr1-201|Erdr1|774|UTR5:1-229|CDS:230-757|UTR3:758-774|                                                   False\n",
+       "ENSMUST00000177671.7|ENSMUSG00000096768.7|-|-|Erdr1-202|Erdr1|708|UTR5:1-159|CDS:160-528|UTR3:529-708|                                                   False\n",
+       "ENSMUST00000179077.1|ENSMUSG00000096768.7|-|-|Erdr1-203|Erdr1|887|UTR5:1-74|CDS:75-512|UTR3:513-887|                                                     False\n",
+       "ENSMUST00000179623.1|ENSMUSG00000096850.1|-|-|Gm21748-201|Gm21748|309|CDS:1-309|                                                                         False\n",
+       "ENSMUST00000082392.1|ENSMUSG00000064341.1|-|-|mt-Nd1-201|mt-Nd1|957|CDS:1-957|                                                                            True\n",
+       "ENSMUST00000082396.1|ENSMUSG00000064345.1|-|-|mt-Nd2-201|mt-Nd2|1038|CDS:1-1038|                                                                          True\n",
+       "ENSMUST00000082402.1|ENSMUSG00000064351.1|-|-|mt-Co1-201|mt-Co1|1545|CDS:1-1545|                                                                          True\n",
+       "ENSMUST00000082405.1|ENSMUSG00000064354.1|-|-|mt-Co2-201|mt-Co2|684|CDS:1-684|                                                                            True\n",
+       "ENSMUST00000082407.1|ENSMUSG00000064356.3|-|-|mt-Atp8-201|mt-Atp8|204|CDS:1-204|                                                                          True\n",
+       "ENSMUST00000082408.1|ENSMUSG00000064357.1|-|-|mt-Atp6-201|mt-Atp6|681|CDS:1-681|                                                                          True\n",
+       "ENSMUST00000082409.1|ENSMUSG00000064358.1|-|-|mt-Co3-201|mt-Co3|784|CDS:1-784|                                                                            True\n",
+       "ENSMUST00000082411.1|ENSMUSG00000064360.1|-|-|mt-Nd3-201|mt-Nd3|348|CDS:1-348|                                                                            True\n",
+       "ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|mt-Nd4l-201|mt-Nd4l|297|CDS:1-297|                                                                          True\n",
+       "ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|mt-Nd4-201|mt-Nd4|1378|CDS:1-1378|                                                                          True\n",
+       "ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|mt-Nd5-201|mt-Nd5|1824|CDS:1-1824|                                                                          True\n",
+       "ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|mt-Nd6-201|mt-Nd6|519|CDS:1-519|                                                                            True\n",
+       "ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|mt-Cytb-201|mt-Cytb|1144|CDS:1-1144|                                                                        True\n",
+       "dtype: bool"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "(kallisto_log2_tpm > 1).sum(axis=1) >= 1"
    ]
@@ -797,7 +2145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -810,7 +2158,408 @@
     },
     "scrolled": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>s10</th>\n",
+       "      <th>s13</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.952259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051163.2|Lypla1-002|Lypla1|1136|UTR5:1-126|CDS:127-801|UTR3:802-1136|</th>\n",
+       "      <td>0.278669</td>\n",
+       "      <td>2.769812</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027036.10|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051162.1|Lypla1-001|Lypla1|2507|UTR5:1-91|CDS:92-784|UTR3:785-2507|</th>\n",
+       "      <td>3.174784</td>\n",
+       "      <td>2.992448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000081551.13|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111602.1|Tcea1-001|Tcea1|2547|UTR5:1-100|CDS:101-1006|UTR3:1007-2547|</th>\n",
+       "      <td>6.947351</td>\n",
+       "      <td>1.058026</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000002533.14|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072687.1|Rgs20-002|Rgs20|1778|UTR5:1-160|CDS:161-880|UTR3:881-1778|</th>\n",
+       "      <td>2.795065</td>\n",
+       "      <td>4.141637</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000192847.5|ENSMUSG00000033793.12|OTTMUSG00000050145.9|OTTMUST00000127492.1|Atp6v1h-003|Atp6v1h|1662|UTR5:1-161|CDS:162-1487|UTR3:1488-1662|</th>\n",
+       "      <td>1.774490</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000159906.7|ENSMUSG00000025907.14|OTTMUSG00000033467.12|OTTMUST00000084214.2|Rb1cc1-009|Rb1cc1|656|UTR5:1-375|CDS:376-656|</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.568701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000088658.10|ENSMUSG00000025912.16|OTTMUSG00000034736.3|OTTMUST00000088260.1|Mybl1-001|Mybl1|4980|UTR5:1-255|CDS:256-2511|UTR3:2512-4980|</th>\n",
+       "      <td>0.775518</td>\n",
+       "      <td>1.389170</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000052843.11|ENSMUSG00000046101.16|OTTMUSG00000021854.3|OTTMUST00000051859.1|Mcmdc2-001|Mcmdc2|2826|UTR5:1-97|CDS:98-1141|UTR3:1142-2826|</th>\n",
+       "      <td>2.036728</td>\n",
+       "      <td>0.237117</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000118098.2|ENSMUSG00000046101.16|OTTMUSG00000021854.3|OTTMUST00000078010.2|Mcmdc2-003|Mcmdc2|2072|UTR5:1-405|CDS:406-1482|UTR3:1483-2072|</th>\n",
+       "      <td>0.234414</td>\n",
+       "      <td>2.070753</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000183059.1|ENSMUSG00000046101.16|OTTMUSG00000021854.3|OTTMUST00000113822.1|Mcmdc2-005|Mcmdc2|749|CDS:1-77|UTR3:78-749|</th>\n",
+       "      <td>7.079271</td>\n",
+       "      <td>8.468359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027050.9|ENSMUSG00000025917.9|OTTMUSG00000029459.3|OTTMUST00000072996.2|Cops5-001|Cops5|1698|UTR5:1-315|CDS:316-1320|UTR3:1321-1698|</th>\n",
+       "      <td>6.723326</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000186528.6|ENSMUSG00000025917.9|OTTMUSG00000029459.3|OTTMUST00000118982.1|Cops5-006|Cops5|962|UTR5:1-129|CDS:130-276|UTR3:277-962|</th>\n",
+       "      <td>4.856129</td>\n",
+       "      <td>0.246389</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000191012.6|ENSMUSG00000056763.16|OTTMUSG00000027401.8|OTTMUST00000118986.2|Cspp1-019|Cspp1|345|UTR5:1-135|CDS:136-345|</th>\n",
+       "      <td>4.375331</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000122156.7|ENSMUSG00000056763.16|OTTMUSG00000027401.8|OTTMUST00000067947.1|Cspp1-006|Cspp1|2535|UTR5:1-117|CDS:118-1077|UTR3:1078-2535|</th>\n",
+       "      <td>3.466614</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000155974.7|ENSMUSG00000056763.16|OTTMUSG00000027401.8|OTTMUST00000067949.4|Cspp1-008|Cspp1|445|UTR5:1-139|CDS:140-445|</th>\n",
+       "      <td>3.035826</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000188449.6|ENSMUSG00000056763.16|OTTMUSG00000027401.8|OTTMUST00000118993.1|Cspp1-024|Cspp1|538|CDS:1-317|UTR3:318-538|</th>\n",
+       "      <td>6.619077</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000088615.10|ENSMUSG00000067851.11|OTTMUSG00000033923.2|OTTMUST00000085577.1|Arfgef1-002|Arfgef1|6978|UTR5:1-176|CDS:177-5717|UTR3:5718-6978|</th>\n",
+       "      <td>6.223523</td>\n",
+       "      <td>2.219540</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027056.11|ENSMUSG00000048960.13|OTTMUSG00000047927.1|OTTMUST00000123246.1|Prex2-001|Prex2|11053|UTR5:1-328|CDS:329-5125|UTR3:5126-11053|</th>\n",
+       "      <td>1.736847</td>\n",
+       "      <td>0.056283</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000188154.1|ENSMUSG00000048960.13|OTTMUSG00000047927.1|OTTMUST00000123253.1|Prex2-006|Prex2|843|CDS:1-122|UTR3:123-843|</th>\n",
+       "      <td>1.547519</td>\n",
+       "      <td>5.895499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000171690.8|ENSMUSG00000057715.13|OTTMUSG00000033915.2|-|A830018L16Rik-201|A830018L16Rik|6158|UTR5:1-464|CDS:465-1331|UTR3:1332-6158|</th>\n",
+       "      <td>1.597393</td>\n",
+       "      <td>2.705801</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000188454.6|ENSMUSG00000025938.16|OTTMUSG00000022327.2|OTTMUST00000053228.2|Slco5a1-001|Slco5a1|8463|UTR5:1-591|CDS:592-3144|UTR3:3145-8463|</th>\n",
+       "      <td>0.056284</td>\n",
+       "      <td>3.506221</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000136197.7|ENSMUSG00000025938.16|OTTMUSG00000022327.2|OTTMUST00000053230.2|Slco5a1-003|Slco5a1|5123|UTR5:1-640|CDS:641-2617|UTR3:2618-5123|</th>\n",
+       "      <td>0.027134</td>\n",
+       "      <td>6.674800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027068.10|ENSMUSG00000025935.10|OTTMUSG00000049113.1|OTTMUST00000125384.1|Tram1-001|Tram1|2938|UTR5:1-188|CDS:189-1313|UTR3:1314-2938|</th>\n",
+       "      <td>5.431071</td>\n",
+       "      <td>0.201256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027071.6|ENSMUSG00000025937.6|OTTMUSG00000021599.3|OTTMUST00000051280.2|Lactb2-001|Lactb2|4494|UTR5:1-96|CDS:97-963|UTR3:964-4494|</th>\n",
+       "      <td>3.940599</td>\n",
+       "      <td>4.778224</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000041447.4|ENSMUSG00000032769.4|OTTMUSG00000049207.1|OTTMUST00000125545.1|Trpa1-001|Trpa1|4263|UTR5:1-27|CDS:28-3405|UTR3:3406-4263|</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.086301</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000188371.6|ENSMUSG00000025925.14|OTTMUSG00000047984.2|OTTMUST00000123359.2|Terf1-001|Terf1|2268|UTR5:1-32|CDS:33-1298|UTR3:1299-2268|</th>\n",
+       "      <td>0.535847</td>\n",
+       "      <td>5.333087</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000115367.7|ENSMUSG00000067795.13|OTTMUSG00000022165.2|OTTMUST00000052635.1|4930444P10Rik-003|4930444P10Rik|868|UTR5:1-163|CDS:164-721|UTR3:722-868|</th>\n",
+       "      <td>3.591404</td>\n",
+       "      <td>4.592032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000058437.13|ENSMUSG00000043716.13|OTTMUSG00000016936.3|OTTMUST00000041073.2|Rpl7-001|Rpl7|1163|UTR5:1-284|CDS:285-1097|UTR3:1098-1163|</th>\n",
+       "      <td>9.557749</td>\n",
+       "      <td>9.656554</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000149566.1|ENSMUSG00000043716.13|OTTMUSG00000016936.3|OTTMUST00000041075.2|Rpl7-003|Rpl7|838|CDS:1-838|</th>\n",
+       "      <td>8.027635</td>\n",
+       "      <td>7.302383</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000112172.3|ENSMUSG00000049775.16|OTTMUSG00000019572.3|OTTMUST00000046738.1|Tmsb4x-001|Tmsb4x|768|UTR5:1-225|CDS:226-360|UTR3:361-768|</th>\n",
+       "      <td>13.768288</td>\n",
+       "      <td>14.830347</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000112176.7|ENSMUSG00000049775.16|OTTMUSG00000019572.3|OTTMUST00000046739.2|Tmsb4x-002|Tmsb4x|698|UTR5:1-139|CDS:140-292|UTR3:293-698|</th>\n",
+       "      <td>4.358734</td>\n",
+       "      <td>6.675759</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000112175.1|ENSMUSG00000049775.16|OTTMUSG00000019572.3|OTTMUST00000046740.1|Tmsb4x-003|Tmsb4x|864|UTR5:1-502|CDS:503-655|UTR3:656-864|</th>\n",
+       "      <td>0.653129</td>\n",
+       "      <td>8.543295</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000112137.1|ENSMUSG00000031358.17|OTTMUSG00000019558.2|OTTMUST00000046702.2|Msl3-002|Msl3|2316|UTR5:1-163|CDS:164-1564|UTR3:1565-2316|</th>\n",
+       "      <td>0.094384</td>\n",
+       "      <td>1.071969</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000112129.7|ENSMUSG00000031355.16|OTTMUSG00000019560.4|OTTMUST00000046950.1|Arhgap6-006|Arhgap6|2487|UTR5:1-211|CDS:212-1369|UTR3:1370-2487|</th>\n",
+       "      <td>2.217563</td>\n",
+       "      <td>2.394953</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000154638.8|ENSMUSG00000031352.10|OTTMUSG00000019596.2|OTTMUST00000046816.2|Hccs-003|Hccs|3310|UTR5:1-239|CDS:240-521|UTR3:522-3310|</th>\n",
+       "      <td>0.693446</td>\n",
+       "      <td>1.291150</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000033717.8|ENSMUSG00000031352.10|OTTMUSG00000019596.2|OTTMUST00000046815.1|Hccs-002|Hccs|2320|UTR5:1-207|CDS:208-1026|UTR3:1027-2320|</th>\n",
+       "      <td>5.285036</td>\n",
+       "      <td>0.090573</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000115894.2|ENSMUSG00000069053.11|OTTMUSG00000045273.1|-|Uba1y-201|Uba1y|3981|UTR5:1-102|CDS:103-3279|UTR3:3280-3981|</th>\n",
+       "      <td>2.265662</td>\n",
+       "      <td>3.909082</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000189069.6|ENSMUSG00000056673.14|OTTMUSG00000045277.1|OTTMUST00000118912.1|Kdm5d-004|Kdm5d|2177|UTR5:1-178|CDS:179-1609|UTR3:1610-2177|</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.415645</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000055032.13|ENSMUSG00000056673.14|OTTMUSG00000045277.1|OTTMUST00000118913.1|Kdm5d-001|Kdm5d|7974|UTR5:1-176|CDS:177-4823|UTR3:4824-7974|</th>\n",
+       "      <td>3.009652</td>\n",
+       "      <td>3.433922</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000186726.6|ENSMUSG00000056673.14|OTTMUSG00000045277.1|OTTMUST00000118916.1|Kdm5d-002|Kdm5d|5916|UTR5:1-128|CDS:129-944|UTR3:945-5916|</th>\n",
+       "      <td>1.715568</td>\n",
+       "      <td>2.865436</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000143958.7|ENSMUSG00000068457.14|OTTMUSG00000032814.5|OTTMUST00000081730.2|Uty-002|Uty|2903|UTR5:1-126|CDS:127-363|UTR3:364-2903|</th>\n",
+       "      <td>1.169130</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000091190.11|ENSMUSG00000069045.11|OTTMUSG00000045279.1|OTTMUST00000118924.1|Ddx3y-001|Ddx3y|4600|UTR5:1-106|CDS:107-2083|UTR3:2084-4600|</th>\n",
+       "      <td>0.420181</td>\n",
+       "      <td>1.121188</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000091178.1|ENSMUSG00000069036.3|OTTMUSG00000045384.2|OTTMUST00000119113.2|Sry-001|Sry|1188|CDS:1-1188|</th>\n",
+       "      <td>2.305509</td>\n",
+       "      <td>1.958223</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000190391.1|ENSMUSG00000096706.2|OTTMUSG00000045647.2|OTTMUST00000119534.2|Gm21854-001|Gm21854|1480|UTR5:1-662|CDS:663-1361|UTR3:1362-1480|</th>\n",
+       "      <td>1.386447</td>\n",
+       "      <td>0.904086</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000185926.1|ENSMUSG00000096036.2|OTTMUSG00000045661.2|OTTMUST00000119556.2|Gm21778-001|Gm21778|1482|UTR5:1-660|CDS:661-1359|UTR3:1360-1482|</th>\n",
+       "      <td>3.411056</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000189201.1|ENSMUSG00000094484.2|OTTMUSG00000045867.2|OTTMUST00000119866.2|Gm21244-001|Gm21244|3115|UTR5:1-405|CDS:406-1089|UTR3:1090-3115|</th>\n",
+       "      <td>6.108443</td>\n",
+       "      <td>7.190151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082392.1|ENSMUSG00000064341.1|-|-|mt-Nd1-201|mt-Nd1|957|CDS:1-957|</th>\n",
+       "      <td>10.386110</td>\n",
+       "      <td>12.218548</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082396.1|ENSMUSG00000064345.1|-|-|mt-Nd2-201|mt-Nd2|1038|CDS:1-1038|</th>\n",
+       "      <td>9.128672</td>\n",
+       "      <td>11.083306</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082402.1|ENSMUSG00000064351.1|-|-|mt-Co1-201|mt-Co1|1545|CDS:1-1545|</th>\n",
+       "      <td>14.110687</td>\n",
+       "      <td>13.061822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082405.1|ENSMUSG00000064354.1|-|-|mt-Co2-201|mt-Co2|684|CDS:1-684|</th>\n",
+       "      <td>13.673254</td>\n",
+       "      <td>13.407600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082407.1|ENSMUSG00000064356.3|-|-|mt-Atp8-201|mt-Atp8|204|CDS:1-204|</th>\n",
+       "      <td>13.960626</td>\n",
+       "      <td>14.381415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082408.1|ENSMUSG00000064357.1|-|-|mt-Atp6-201|mt-Atp6|681|CDS:1-681|</th>\n",
+       "      <td>13.435566</td>\n",
+       "      <td>13.835251</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082409.1|ENSMUSG00000064358.1|-|-|mt-Co3-201|mt-Co3|784|CDS:1-784|</th>\n",
+       "      <td>13.366910</td>\n",
+       "      <td>13.871424</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082411.1|ENSMUSG00000064360.1|-|-|mt-Nd3-201|mt-Nd3|348|CDS:1-348|</th>\n",
+       "      <td>10.291689</td>\n",
+       "      <td>10.614544</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|mt-Nd4l-201|mt-Nd4l|297|CDS:1-297|</th>\n",
+       "      <td>10.235930</td>\n",
+       "      <td>11.969117</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|mt-Nd4-201|mt-Nd4|1378|CDS:1-1378|</th>\n",
+       "      <td>10.380158</td>\n",
+       "      <td>11.326160</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|mt-Nd5-201|mt-Nd5|1824|CDS:1-1824|</th>\n",
+       "      <td>9.938436</td>\n",
+       "      <td>10.430975</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|mt-Nd6-201|mt-Nd6|519|CDS:1-519|</th>\n",
+       "      <td>9.172783</td>\n",
+       "      <td>10.414791</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|mt-Cytb-201|mt-Cytb|1144|CDS:1-1144|</th>\n",
+       "      <td>12.192564</td>\n",
+       "      <td>12.669727</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9383 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                          s10        s13\n",
+       "target_id                                                               \n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTM...   0.000000   3.952259\n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTM...   0.278669   2.769812\n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTT...   3.174784   2.992448\n",
+       "ENSMUST00000081551.13|ENSMUSG00000033813.15|OTT...   6.947351   1.058026\n",
+       "ENSMUST00000002533.14|ENSMUSG00000002459.17|OTT...   2.795065   4.141637\n",
+       "ENSMUST00000192847.5|ENSMUSG00000033793.12|OTTM...   1.774490   0.000000\n",
+       "ENSMUST00000159906.7|ENSMUSG00000025907.14|OTTM...   0.000000   7.568701\n",
+       "ENSMUST00000088658.10|ENSMUSG00000025912.16|OTT...   0.775518   1.389170\n",
+       "ENSMUST00000052843.11|ENSMUSG00000046101.16|OTT...   2.036728   0.237117\n",
+       "ENSMUST00000118098.2|ENSMUSG00000046101.16|OTTM...   0.234414   2.070753\n",
+       "ENSMUST00000183059.1|ENSMUSG00000046101.16|OTTM...   7.079271   8.468359\n",
+       "ENSMUST00000027050.9|ENSMUSG00000025917.9|OTTMU...   6.723326   0.000000\n",
+       "ENSMUST00000186528.6|ENSMUSG00000025917.9|OTTMU...   4.856129   0.246389\n",
+       "ENSMUST00000191012.6|ENSMUSG00000056763.16|OTTM...   4.375331   0.000000\n",
+       "ENSMUST00000122156.7|ENSMUSG00000056763.16|OTTM...   3.466614   0.000000\n",
+       "ENSMUST00000155974.7|ENSMUSG00000056763.16|OTTM...   3.035826   0.000000\n",
+       "ENSMUST00000188449.6|ENSMUSG00000056763.16|OTTM...   6.619077   0.000000\n",
+       "ENSMUST00000088615.10|ENSMUSG00000067851.11|OTT...   6.223523   2.219540\n",
+       "ENSMUST00000027056.11|ENSMUSG00000048960.13|OTT...   1.736847   0.056283\n",
+       "ENSMUST00000188154.1|ENSMUSG00000048960.13|OTTM...   1.547519   5.895499\n",
+       "ENSMUST00000171690.8|ENSMUSG00000057715.13|OTTM...   1.597393   2.705801\n",
+       "ENSMUST00000188454.6|ENSMUSG00000025938.16|OTTM...   0.056284   3.506221\n",
+       "ENSMUST00000136197.7|ENSMUSG00000025938.16|OTTM...   0.027134   6.674800\n",
+       "ENSMUST00000027068.10|ENSMUSG00000025935.10|OTT...   5.431071   0.201256\n",
+       "ENSMUST00000027071.6|ENSMUSG00000025937.6|OTTMU...   3.940599   4.778224\n",
+       "ENSMUST00000041447.4|ENSMUSG00000032769.4|OTTMU...   0.000000   2.086301\n",
+       "ENSMUST00000188371.6|ENSMUSG00000025925.14|OTTM...   0.535847   5.333087\n",
+       "ENSMUST00000115367.7|ENSMUSG00000067795.13|OTTM...   3.591404   4.592032\n",
+       "ENSMUST00000058437.13|ENSMUSG00000043716.13|OTT...   9.557749   9.656554\n",
+       "ENSMUST00000149566.1|ENSMUSG00000043716.13|OTTM...   8.027635   7.302383\n",
+       "...                                                       ...        ...\n",
+       "ENSMUST00000112172.3|ENSMUSG00000049775.16|OTTM...  13.768288  14.830347\n",
+       "ENSMUST00000112176.7|ENSMUSG00000049775.16|OTTM...   4.358734   6.675759\n",
+       "ENSMUST00000112175.1|ENSMUSG00000049775.16|OTTM...   0.653129   8.543295\n",
+       "ENSMUST00000112137.1|ENSMUSG00000031358.17|OTTM...   0.094384   1.071969\n",
+       "ENSMUST00000112129.7|ENSMUSG00000031355.16|OTTM...   2.217563   2.394953\n",
+       "ENSMUST00000154638.8|ENSMUSG00000031352.10|OTTM...   0.693446   1.291150\n",
+       "ENSMUST00000033717.8|ENSMUSG00000031352.10|OTTM...   5.285036   0.090573\n",
+       "ENSMUST00000115894.2|ENSMUSG00000069053.11|OTTM...   2.265662   3.909082\n",
+       "ENSMUST00000189069.6|ENSMUSG00000056673.14|OTTM...   0.000000   1.415645\n",
+       "ENSMUST00000055032.13|ENSMUSG00000056673.14|OTT...   3.009652   3.433922\n",
+       "ENSMUST00000186726.6|ENSMUSG00000056673.14|OTTM...   1.715568   2.865436\n",
+       "ENSMUST00000143958.7|ENSMUSG00000068457.14|OTTM...   1.169130   0.000000\n",
+       "ENSMUST00000091190.11|ENSMUSG00000069045.11|OTT...   0.420181   1.121188\n",
+       "ENSMUST00000091178.1|ENSMUSG00000069036.3|OTTMU...   2.305509   1.958223\n",
+       "ENSMUST00000190391.1|ENSMUSG00000096706.2|OTTMU...   1.386447   0.904086\n",
+       "ENSMUST00000185926.1|ENSMUSG00000096036.2|OTTMU...   3.411056   0.000000\n",
+       "ENSMUST00000189201.1|ENSMUSG00000094484.2|OTTMU...   6.108443   7.190151\n",
+       "ENSMUST00000082392.1|ENSMUSG00000064341.1|-|-|m...  10.386110  12.218548\n",
+       "ENSMUST00000082396.1|ENSMUSG00000064345.1|-|-|m...   9.128672  11.083306\n",
+       "ENSMUST00000082402.1|ENSMUSG00000064351.1|-|-|m...  14.110687  13.061822\n",
+       "ENSMUST00000082405.1|ENSMUSG00000064354.1|-|-|m...  13.673254  13.407600\n",
+       "ENSMUST00000082407.1|ENSMUSG00000064356.3|-|-|m...  13.960626  14.381415\n",
+       "ENSMUST00000082408.1|ENSMUSG00000064357.1|-|-|m...  13.435566  13.835251\n",
+       "ENSMUST00000082409.1|ENSMUSG00000064358.1|-|-|m...  13.366910  13.871424\n",
+       "ENSMUST00000082411.1|ENSMUSG00000064360.1|-|-|m...  10.291689  10.614544\n",
+       "ENSMUST00000084013.1|ENSMUSG00000065947.3|-|-|m...  10.235930  11.969117\n",
+       "ENSMUST00000082414.1|ENSMUSG00000064363.1|-|-|m...  10.380158  11.326160\n",
+       "ENSMUST00000082418.1|ENSMUSG00000064367.1|-|-|m...   9.938436  10.430975\n",
+       "ENSMUST00000082419.1|ENSMUSG00000064368.1|-|-|m...   9.172783  10.414791\n",
+       "ENSMUST00000082421.1|ENSMUSG00000064370.1|-|-|m...  12.192564  12.669727\n",
+       "\n",
+       "[9383 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "expressed_genes = (kallisto_log2_tpm > 1).sum(axis=1) >= 1\n",
     "kallisto_log2_tpm.loc[expressed_genes]"
@@ -834,7 +2583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -846,7 +2595,76 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(9383, 2)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>s10</th>\n",
+       "      <th>s13</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.952259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051163.2|Lypla1-002|Lypla1|1136|UTR5:1-126|CDS:127-801|UTR3:802-1136|</th>\n",
+       "      <td>0.278669</td>\n",
+       "      <td>2.769812</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027036.10|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051162.1|Lypla1-001|Lypla1|2507|UTR5:1-91|CDS:92-784|UTR3:785-2507|</th>\n",
+       "      <td>3.174784</td>\n",
+       "      <td>2.992448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000081551.13|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111602.1|Tcea1-001|Tcea1|2547|UTR5:1-100|CDS:101-1006|UTR3:1007-2547|</th>\n",
+       "      <td>6.947351</td>\n",
+       "      <td>1.058026</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000002533.14|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072687.1|Rgs20-002|Rgs20|1778|UTR5:1-160|CDS:161-880|UTR3:881-1778|</th>\n",
+       "      <td>2.795065</td>\n",
+       "      <td>4.141637</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                         s10       s13\n",
+       "target_id                                                             \n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTM...  0.000000  3.952259\n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTM...  0.278669  2.769812\n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTT...  3.174784  2.992448\n",
+       "ENSMUST00000081551.13|ENSMUSG00000033813.15|OTT...  6.947351  1.058026\n",
+       "ENSMUST00000002533.14|ENSMUSG00000002459.17|OTT...  2.795065  4.141637"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_log2_tpm_expressed = kallisto_log2_tpm.loc[expressed_genes]\n",
     "print(kallisto_log2_tpm_expressed.shape)\n",
@@ -871,7 +2689,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -883,9 +2701,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab74b4a9d30>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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P4MzEwx4XQmwrx/EQEZExlSWUAHwfwHMANqruXyOEWFOmY6AK8PpD2LClG32DY+hsbcDy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\nTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab74b4a93c8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.jointplot('s10', 's13', kallisto_log2_tpm_expressed)"
+    "snsy.jointplot('s10', 's13', kallisto_log2_tpm_expressed)"
    ]
   },
   {
@@ -906,7 +2745,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -918,14 +2757,35 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab74b3b00f0>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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/7hmu+BMoC7GShVu1VbhWWXdnb3y+6GjvEFqaa5PLAoUjUcXCqqkVeKmhFo5E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\njDCXIMg0BJft8bcsma3YXDAUiSW3XFd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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab74b3b0a90>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "snsy.jointplot(kallisto_log2_tpm_expressed['s10'], kallisto_log2_tpm_expressed['s13'], stat_func=spearmanr)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -961,7 +2821,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -973,7 +2833,94 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(46984, 1)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th># Program:featureCounts v1.5.0; Command:\"featureCounts\" \"-T\" \"8\" \"-s\" \"-B\" \"--primary\" \"-a\" \"/projects/ps-yeolab/biom262-2016/genomes/mm10/gencode/m8/gencode.vM8.basic.annotation.gtf\" \"-o\" \"/home/e1luo/projects/shalek2013/processed_data/s10_featureCounts.txt\" \"/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam\"</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <td>/home/e1luo/projects/shalek2013/processed_data...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <th>chr1</th>\n",
+       "      <th>3073253</th>\n",
+       "      <th>3074322</th>\n",
+       "      <th>+</th>\n",
+       "      <th>1070</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <th>chr1</th>\n",
+       "      <th>3102016</th>\n",
+       "      <th>3102125</th>\n",
+       "      <th>+</th>\n",
+       "      <th>110</th>\n",
+       "      <td>980</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <th>chr1;chr1;chr1</th>\n",
+       "      <th>3214482;3421702;3670552</th>\n",
+       "      <th>3216968;3421901;3671498</th>\n",
+       "      <th>-;-;-</th>\n",
+       "      <th>3634</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <th>chr1</th>\n",
+       "      <th>3252757</th>\n",
+       "      <th>3253236</th>\n",
+       "      <th>+</th>\n",
+       "      <th>480</th>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                                                                  # Program:featureCounts v1.5.0; Command:\"featureCounts\" \"-T\" \"8\" \"-s\" \"-B\" \"--primary\" \"-a\" \"/projects/ps-yeolab/biom262-2016/genomes/mm10/gencode/m8/gencode.vM8.basic.annotation.gtf\" \"-o\" \"/home/e1luo/projects/shalek2013/processed_data/s10_featureCounts.txt\" \"/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam\" \n",
+       "Geneid               Chr            Start                   End                     Strand Length  /home/e1luo/projects/shalek2013/processed_data...                                                                                                                                                                                                                                                                                              \n",
+       "ENSMUSG00000102693.1 chr1           3073253                 3074322                 +      1070                                                    0                                                                                                                                                                                                                                                                                              \n",
+       "ENSMUSG00000064842.1 chr1           3102016                 3102125                 +      110                                                   980                                                                                                                                                                                                                                                                                              \n",
+       "ENSMUSG00000051951.5 chr1;chr1;chr1 3214482;3421702;3670552 3216968;3421901;3671498 -;-;-  3634                                                    0                                                                                                                                                                                                                                                                                              \n",
+       "ENSMUSG00000102851.1 chr1           3252757                 3253236                 +      480                                                     0                                                                                                                                                                                                                                                                                              "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "s10_featurecounts = pd.read_table('s10_featureCounts.txt')\n",
     "print(s10_featurecounts.shape)\n",
@@ -1001,7 +2948,124 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <th>/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3073253</td>\n",
+       "      <td>3074322</td>\n",
+       "      <td>+</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3102016</td>\n",
+       "      <td>3102125</td>\n",
+       "      <td>+</td>\n",
+       "      <td>110</td>\n",
+       "      <td>980</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <td>chr1;chr1;chr1</td>\n",
+       "      <td>3214482;3421702;3670552</td>\n",
+       "      <td>3216968;3421901;3671498</td>\n",
+       "      <td>-;-;-</td>\n",
+       "      <td>3634</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3252757</td>\n",
+       "      <td>3253236</td>\n",
+       "      <td>+</td>\n",
+       "      <td>480</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000103377.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3365731</td>\n",
+       "      <td>3368549</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2819</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Chr                    Start  \\\n",
+       "Geneid                                                          \n",
+       "ENSMUSG00000102693.1            chr1                  3073253   \n",
+       "ENSMUSG00000064842.1            chr1                  3102016   \n",
+       "ENSMUSG00000051951.5  chr1;chr1;chr1  3214482;3421702;3670552   \n",
+       "ENSMUSG00000102851.1            chr1                  3252757   \n",
+       "ENSMUSG00000103377.1            chr1                  3365731   \n",
+       "\n",
+       "                                          End Strand  Length  \\\n",
+       "Geneid                                                         \n",
+       "ENSMUSG00000102693.1                  3074322      +    1070   \n",
+       "ENSMUSG00000064842.1                  3102125      +     110   \n",
+       "ENSMUSG00000051951.5  3216968;3421901;3671498  -;-;-    3634   \n",
+       "ENSMUSG00000102851.1                  3253236      +     480   \n",
+       "ENSMUSG00000103377.1                  3368549      -    2819   \n",
+       "\n",
+       "                      /home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam  \n",
+       "Geneid                                                                                           \n",
+       "ENSMUSG00000102693.1                                                  0                          \n",
+       "ENSMUSG00000064842.1                                                980                          \n",
+       "ENSMUSG00000051951.5                                                  0                          \n",
+       "ENSMUSG00000102851.1                                                  0                          \n",
+       "ENSMUSG00000103377.1                                                  0                          "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s10_featurecounts = pd.read_table('s10_featureCounts.txt',header=1,skiprows=0,index_col=0)\n",
+    "s10_featurecounts.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1013,16 +3077,11 @@
      "solution": true
     }
    },
-   "outputs": [],
-   "source": [
-    "# YOUR CODE HERE\n",
-    "print(s10_featurecounts.shape)\n",
-    "s10_featurecounts.head()"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1065,7 +3124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1077,7 +3136,24 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Chr                                                                          object\n",
+       "Start                                                                        object\n",
+       "End                                                                          object\n",
+       "Strand                                                                       object\n",
+       "Length                                                                        int64\n",
+       "/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam     int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "s10_featurecounts.dtypes"
    ]
@@ -1100,7 +3176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1113,9 +3189,30 @@
     },
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab74e17b780>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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RB8USyg1FtxTNzDrkoFhCXjrKzKwYB8USqnqaNzOzQhwUS8jTvJmZFeOgWEIefWpmVoyD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\nRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab74b58aa58>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.distplot(s10_featurecounts['/home/ucsd-train01/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam'])"
+    "snsy.distplot(s10_featurecounts['/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam'])"
    ]
   },
   {
@@ -1131,12 +3228,12 @@
     }
    },
    "source": [
-    "For the next exercise ... remember that you can use convenient methods of \".sum()\" to get the sum of a column. This sums all the gene lengths in the data."
+    "##For the next exercise ... remember that you can use convenient methods of \".sum()\" to get the sum of a column. This sums all the gene lengths in the data."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1148,7 +3245,18 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "90730267"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "s10_featurecounts['Length'].sum()"
    ]
@@ -1173,7 +3281,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1185,9 +3293,130 @@
      "solution": false
     }
    },
-   "outputs": [],
-   "source": [
-    "reads = s10_featurecounts['/home/ucsd-train01/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam']\n",
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <th>/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam</th>\n",
+       "      <th>new_column</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3073253</td>\n",
+       "      <td>3074322</td>\n",
+       "      <td>+</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3102016</td>\n",
+       "      <td>3102125</td>\n",
+       "      <td>+</td>\n",
+       "      <td>110</td>\n",
+       "      <td>980</td>\n",
+       "      <td>44457830.83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <td>chr1;chr1;chr1</td>\n",
+       "      <td>3214482;3421702;3670552</td>\n",
+       "      <td>3216968;3421901;3671498</td>\n",
+       "      <td>-;-;-</td>\n",
+       "      <td>3634</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3252757</td>\n",
+       "      <td>3253236</td>\n",
+       "      <td>+</td>\n",
+       "      <td>480</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000103377.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3365731</td>\n",
+       "      <td>3368549</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2819</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Chr                    Start  \\\n",
+       "Geneid                                                          \n",
+       "ENSMUSG00000102693.1            chr1                  3073253   \n",
+       "ENSMUSG00000064842.1            chr1                  3102016   \n",
+       "ENSMUSG00000051951.5  chr1;chr1;chr1  3214482;3421702;3670552   \n",
+       "ENSMUSG00000102851.1            chr1                  3252757   \n",
+       "ENSMUSG00000103377.1            chr1                  3365731   \n",
+       "\n",
+       "                                          End Strand  Length  \\\n",
+       "Geneid                                                         \n",
+       "ENSMUSG00000102693.1                  3074322      +    1070   \n",
+       "ENSMUSG00000064842.1                  3102125      +     110   \n",
+       "ENSMUSG00000051951.5  3216968;3421901;3671498  -;-;-    3634   \n",
+       "ENSMUSG00000102851.1                  3253236      +     480   \n",
+       "ENSMUSG00000103377.1                  3368549      -    2819   \n",
+       "\n",
+       "                      /home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam  \\\n",
+       "Geneid                                                                                            \n",
+       "ENSMUSG00000102693.1                                                  0                           \n",
+       "ENSMUSG00000064842.1                                                980                           \n",
+       "ENSMUSG00000051951.5                                                  0                           \n",
+       "ENSMUSG00000102851.1                                                  0                           \n",
+       "ENSMUSG00000103377.1                                                  0                           \n",
+       "\n",
+       "                       new_column  \n",
+       "Geneid                             \n",
+       "ENSMUSG00000102693.1         0.00  \n",
+       "ENSMUSG00000064842.1  44457830.83  \n",
+       "ENSMUSG00000051951.5         0.00  \n",
+       "ENSMUSG00000102851.1         0.00  \n",
+       "ENSMUSG00000103377.1         0.00  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reads = s10_featurecounts['/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam']\n",
     "\n",
     "s10_featurecounts['new_column'] = (s10_featurecounts['Length'].sum() * reads)/2e3\n",
     "s10_featurecounts.head()"
@@ -1206,7 +3435,7 @@
     }
    },
    "source": [
-    "### Exercise 7: Calculate FPKM\n",
+    "# Exercise 7: Calculate FPKM\n",
     "\n",
     "Using your knowledge about [FPKM](https://haroldpimentel.wordpress.com/2014/05/08/what-the-fpkm-a-review-rna-seq-expression-units/), add a column called `'fpkm'` to `s10_featurecounts` that's the fragments per kilobase mapped. We're doing FPKM first because you can calculate the TPM from the FPKM easily.\n",
     "\n",
@@ -1215,7 +3444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1227,18 +3456,148 @@
      "solution": true
     }
    },
-   "outputs": [],
-   "source": [
-    "reads = s10_featurecounts['/home/ucsd-train01/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam']\n",
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <th>/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam</th>\n",
+       "      <th>new_column</th>\n",
+       "      <th>fpkm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3073253</td>\n",
+       "      <td>3074322</td>\n",
+       "      <td>+</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3102016</td>\n",
+       "      <td>3102125</td>\n",
+       "      <td>+</td>\n",
+       "      <td>110</td>\n",
+       "      <td>980</td>\n",
+       "      <td>44457830.83</td>\n",
+       "      <td>151.953838</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <td>chr1;chr1;chr1</td>\n",
+       "      <td>3214482;3421702;3670552</td>\n",
+       "      <td>3216968;3421901;3671498</td>\n",
+       "      <td>-;-;-</td>\n",
+       "      <td>3634</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3252757</td>\n",
+       "      <td>3253236</td>\n",
+       "      <td>+</td>\n",
+       "      <td>480</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000103377.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3365731</td>\n",
+       "      <td>3368549</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2819</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Chr                    Start  \\\n",
+       "Geneid                                                          \n",
+       "ENSMUSG00000102693.1            chr1                  3073253   \n",
+       "ENSMUSG00000064842.1            chr1                  3102016   \n",
+       "ENSMUSG00000051951.5  chr1;chr1;chr1  3214482;3421702;3670552   \n",
+       "ENSMUSG00000102851.1            chr1                  3252757   \n",
+       "ENSMUSG00000103377.1            chr1                  3365731   \n",
+       "\n",
+       "                                          End Strand  Length  \\\n",
+       "Geneid                                                         \n",
+       "ENSMUSG00000102693.1                  3074322      +    1070   \n",
+       "ENSMUSG00000064842.1                  3102125      +     110   \n",
+       "ENSMUSG00000051951.5  3216968;3421901;3671498  -;-;-    3634   \n",
+       "ENSMUSG00000102851.1                  3253236      +     480   \n",
+       "ENSMUSG00000103377.1                  3368549      -    2819   \n",
+       "\n",
+       "                      /home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam  \\\n",
+       "Geneid                                                                                            \n",
+       "ENSMUSG00000102693.1                                                  0                           \n",
+       "ENSMUSG00000064842.1                                                980                           \n",
+       "ENSMUSG00000051951.5                                                  0                           \n",
+       "ENSMUSG00000102851.1                                                  0                           \n",
+       "ENSMUSG00000103377.1                                                  0                           \n",
+       "\n",
+       "                       new_column        fpkm  \n",
+       "Geneid                                         \n",
+       "ENSMUSG00000102693.1         0.00    0.000000  \n",
+       "ENSMUSG00000064842.1  44457830.83  151.953838  \n",
+       "ENSMUSG00000051951.5         0.00    0.000000  \n",
+       "ENSMUSG00000102851.1         0.00    0.000000  \n",
+       "ENSMUSG00000103377.1         0.00    0.000000  "
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reads = s10_featurecounts['/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam']\n",
     "\n",
-    "# YOUR CODE HERE\n",
     "\n",
+    "# YOUR CODE HERE\n",
+    "reads_total = reads.sum()\n",
+    "s10_featurecounts['fpkm'] = reads* 1e9 /(s10_featurecounts['Length'] * reads_total)\n",
     "s10_featurecounts.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1256,6 +3615,17 @@
     "assert s10_featurecounts.loc['ENSMUSG00000064842.1', 'fpkm'] == 151.9538381109796"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#s10_featurecounts.loc['ENSMUSG00000064842.1', 'fpkm']"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -1274,7 +3644,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1286,9 +3656,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab74c1c0400>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab74c1d2668>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.distplot(s10_featurecounts['fpkm'])"
+    "snsy.distplot(s10_featurecounts['fpkm'])"
    ]
   },
   {
@@ -1313,7 +3704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1325,15 +3716,154 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <th>/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam</th>\n",
+       "      <th>new_column</th>\n",
+       "      <th>fpkm</th>\n",
+       "      <th>tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3073253</td>\n",
+       "      <td>3074322</td>\n",
+       "      <td>+</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3102016</td>\n",
+       "      <td>3102125</td>\n",
+       "      <td>+</td>\n",
+       "      <td>110</td>\n",
+       "      <td>980</td>\n",
+       "      <td>44457830.83</td>\n",
+       "      <td>151.953838</td>\n",
+       "      <td>260.827361</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <td>chr1;chr1;chr1</td>\n",
+       "      <td>3214482;3421702;3670552</td>\n",
+       "      <td>3216968;3421901;3671498</td>\n",
+       "      <td>-;-;-</td>\n",
+       "      <td>3634</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3252757</td>\n",
+       "      <td>3253236</td>\n",
+       "      <td>+</td>\n",
+       "      <td>480</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000103377.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3365731</td>\n",
+       "      <td>3368549</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2819</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Chr                    Start  \\\n",
+       "Geneid                                                          \n",
+       "ENSMUSG00000102693.1            chr1                  3073253   \n",
+       "ENSMUSG00000064842.1            chr1                  3102016   \n",
+       "ENSMUSG00000051951.5  chr1;chr1;chr1  3214482;3421702;3670552   \n",
+       "ENSMUSG00000102851.1            chr1                  3252757   \n",
+       "ENSMUSG00000103377.1            chr1                  3365731   \n",
+       "\n",
+       "                                          End Strand  Length  \\\n",
+       "Geneid                                                         \n",
+       "ENSMUSG00000102693.1                  3074322      +    1070   \n",
+       "ENSMUSG00000064842.1                  3102125      +     110   \n",
+       "ENSMUSG00000051951.5  3216968;3421901;3671498  -;-;-    3634   \n",
+       "ENSMUSG00000102851.1                  3253236      +     480   \n",
+       "ENSMUSG00000103377.1                  3368549      -    2819   \n",
+       "\n",
+       "                      /home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam  \\\n",
+       "Geneid                                                                                            \n",
+       "ENSMUSG00000102693.1                                                  0                           \n",
+       "ENSMUSG00000064842.1                                                980                           \n",
+       "ENSMUSG00000051951.5                                                  0                           \n",
+       "ENSMUSG00000102851.1                                                  0                           \n",
+       "ENSMUSG00000103377.1                                                  0                           \n",
+       "\n",
+       "                       new_column        fpkm         tpm  \n",
+       "Geneid                                                     \n",
+       "ENSMUSG00000102693.1         0.00    0.000000    0.000000  \n",
+       "ENSMUSG00000064842.1  44457830.83  151.953838  260.827361  \n",
+       "ENSMUSG00000051951.5         0.00    0.000000    0.000000  \n",
+       "ENSMUSG00000102851.1         0.00    0.000000    0.000000  \n",
+       "ENSMUSG00000103377.1         0.00    0.000000    0.000000  "
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
+    "rate = reads /s10_featurecounts['Length'] \n",
+    "s10_featurecounts['tpm'] = reads/ s10_featurecounts['Length'] * 1e6 /rate.sum()\n",
+    "\n",
+    "\n",
     "s10_featurecounts.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 40,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1348,7 +3878,18 @@
    },
    "outputs": [],
    "source": [
-    "assert s10_featurecounts.loc['ENSMUSG00000064842.1', 'tpm'] == 260.82736102245372"
+    "assert s10_featurecounts.loc['ENSMUSG00000064842.1', 'tpm'] == 260.82736102245417"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#s10_featurecounts.loc['ENSMUSG00000064842.1', 'tpm']"
    ]
   },
   {
@@ -1369,7 +3910,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1381,9 +3922,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77c4b2be0>"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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MhoJ6vitJUgsYDAXNrjFMGwySmstgKMhXYkhqA4OhoJnF5ymnkiQ1mMFQkIvPktrAYCjI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\nXkL6cR1dvAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77c43dc18>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.distplot(s10_featurecounts['tpm'])"
+    "snsy.distplot(s10_featurecounts['tpm'])"
    ]
   },
   {
@@ -1404,7 +3966,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1416,9 +3978,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab77c5ef940>"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77c5ef780>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.jointplot('fpkm', 'tpm', s10_featurecounts)"
+    "snsy.jointplot('fpkm', 'tpm', s10_featurecounts)"
    ]
   },
   {
@@ -1441,7 +4024,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1453,15 +4036,158 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <th>/home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam</th>\n",
+       "      <th>new_column</th>\n",
+       "      <th>fpkm</th>\n",
+       "      <th>tpm</th>\n",
+       "      <th>log2_tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3073253</td>\n",
+       "      <td>3074322</td>\n",
+       "      <td>+</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3102016</td>\n",
+       "      <td>3102125</td>\n",
+       "      <td>+</td>\n",
+       "      <td>110</td>\n",
+       "      <td>980</td>\n",
+       "      <td>44457830.83</td>\n",
+       "      <td>151.953838</td>\n",
+       "      <td>260.827361</td>\n",
+       "      <td>8.032472</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <td>chr1;chr1;chr1</td>\n",
+       "      <td>3214482;3421702;3670552</td>\n",
+       "      <td>3216968;3421901;3671498</td>\n",
+       "      <td>-;-;-</td>\n",
+       "      <td>3634</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3252757</td>\n",
+       "      <td>3253236</td>\n",
+       "      <td>+</td>\n",
+       "      <td>480</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000103377.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3365731</td>\n",
+       "      <td>3368549</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2819</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Chr                    Start  \\\n",
+       "Geneid                                                          \n",
+       "ENSMUSG00000102693.1            chr1                  3073253   \n",
+       "ENSMUSG00000064842.1            chr1                  3102016   \n",
+       "ENSMUSG00000051951.5  chr1;chr1;chr1  3214482;3421702;3670552   \n",
+       "ENSMUSG00000102851.1            chr1                  3252757   \n",
+       "ENSMUSG00000103377.1            chr1                  3365731   \n",
+       "\n",
+       "                                          End Strand  Length  \\\n",
+       "Geneid                                                         \n",
+       "ENSMUSG00000102693.1                  3074322      +    1070   \n",
+       "ENSMUSG00000064842.1                  3102125      +     110   \n",
+       "ENSMUSG00000051951.5  3216968;3421901;3671498  -;-;-    3634   \n",
+       "ENSMUSG00000102851.1                  3253236      +     480   \n",
+       "ENSMUSG00000103377.1                  3368549      -    2819   \n",
+       "\n",
+       "                      /home/e1luo/projects/shalek2013/processed_data/S10.Aligned.out.sorted.bam  \\\n",
+       "Geneid                                                                                            \n",
+       "ENSMUSG00000102693.1                                                  0                           \n",
+       "ENSMUSG00000064842.1                                                980                           \n",
+       "ENSMUSG00000051951.5                                                  0                           \n",
+       "ENSMUSG00000102851.1                                                  0                           \n",
+       "ENSMUSG00000103377.1                                                  0                           \n",
+       "\n",
+       "                       new_column        fpkm         tpm  log2_tpm  \n",
+       "Geneid                                                               \n",
+       "ENSMUSG00000102693.1         0.00    0.000000    0.000000  0.000000  \n",
+       "ENSMUSG00000064842.1  44457830.83  151.953838  260.827361  8.032472  \n",
+       "ENSMUSG00000051951.5         0.00    0.000000    0.000000  0.000000  \n",
+       "ENSMUSG00000102851.1         0.00    0.000000    0.000000  0.000000  \n",
+       "ENSMUSG00000103377.1         0.00    0.000000    0.000000  0.000000  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
+    "s10_featurecounts['log2_tpm'] =np.log2(s10_featurecounts['tpm']+1)\n",
     "s10_featurecounts.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1476,7 +4202,18 @@
    },
    "outputs": [],
    "source": [
-    "assert s10_featurecounts.loc['ENSMUSG00000064842.1', 'log2_tpm'] == 8.0324720569159176"
+    "assert s10_featurecounts.loc['ENSMUSG00000064842.1', 'log2_tpm'] == 8.0324720569159211"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#s10_featurecounts.loc['ENSMUSG00000064842.1', 'log2_tpm']"
    ]
   },
   {
@@ -1499,7 +4236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1511,7 +4248,69 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>s10</th>\n",
+       "      <th>s13</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>target_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.952259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051163.2|Lypla1-002|Lypla1|1136|UTR5:1-126|CDS:127-801|UTR3:802-1136|</th>\n",
+       "      <td>0.278669</td>\n",
+       "      <td>2.769812</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000027036.10|ENSMUSG00000025903.14|OTTMUSG00000021562.4|OTTMUST00000051162.1|Lypla1-001|Lypla1|2507|UTR5:1-91|CDS:92-784|UTR3:785-2507|</th>\n",
+       "      <td>3.174784</td>\n",
+       "      <td>2.992448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000081551.13|ENSMUSG00000033813.15|OTTMUSG00000042348.1|OTTMUST00000111602.1|Tcea1-001|Tcea1|2547|UTR5:1-100|CDS:101-1006|UTR3:1007-2547|</th>\n",
+       "      <td>6.947351</td>\n",
+       "      <td>1.058026</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUST00000002533.14|ENSMUSG00000002459.17|OTTMUSG00000029338.4|OTTMUST00000072687.1|Rgs20-002|Rgs20|1778|UTR5:1-160|CDS:161-880|UTR3:881-1778|</th>\n",
+       "      <td>2.795065</td>\n",
+       "      <td>4.141637</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                         s10       s13\n",
+       "target_id                                                             \n",
+       "ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTM...  0.000000  3.952259\n",
+       "ENSMUST00000134384.7|ENSMUSG00000025903.14|OTTM...  0.278669  2.769812\n",
+       "ENSMUST00000027036.10|ENSMUSG00000025903.14|OTT...  3.174784  2.992448\n",
+       "ENSMUST00000081551.13|ENSMUSG00000033813.15|OTT...  6.947351  1.058026\n",
+       "ENSMUST00000002533.14|ENSMUSG00000002459.17|OTT...  2.795065  4.141637"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_log2_tpm_expressed.head()"
    ]
@@ -1536,7 +4335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1548,7 +4347,28 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['ENSMUST00000146665.2',\n",
+       " 'ENSMUSG00000033845.13',\n",
+       " 'OTTMUSG00000029329.3',\n",
+       " 'OTTMUST00000072662.2',\n",
+       " 'Mrpl15-004',\n",
+       " 'Mrpl15',\n",
+       " '1569',\n",
+       " 'UTR5:1-62',\n",
+       " 'CDS:63-569',\n",
+       " 'UTR3:570-1569',\n",
+       " '']"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "s = 'ENSMUST00000146665.2|ENSMUSG00000033845.13|OTTMUSG00000029329.3|OTTMUST00000072662.2|Mrpl15-004|Mrpl15|1569|UTR5:1-62|CDS:63-569|UTR3:570-1569|'\n",
     "s.split('|')"
@@ -1572,7 +4392,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 49,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1584,7 +4404,20 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['ENSMUSG00000033845.13', 'ENSMUSG00000025903.14',\n",
+       "       'ENSMUSG00000025903.14', ..., 'ENSMUSG00000064367.1',\n",
+       "       'ENSMUSG00000064368.1', 'ENSMUSG00000064370.1'], dtype=object)"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_log2_tpm_expressed.index.map(lambda x: x.split('|')[1])"
    ]
@@ -1607,7 +4440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 50,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1619,7 +4452,70 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(9383, 2)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>s10</th>\n",
+       "      <th>s13</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000033845.13</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.952259</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000025903.14</th>\n",
+       "      <td>0.278669</td>\n",
+       "      <td>2.769812</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000025903.14</th>\n",
+       "      <td>3.174784</td>\n",
+       "      <td>2.992448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000033813.15</th>\n",
+       "      <td>6.947351</td>\n",
+       "      <td>1.058026</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000002459.17</th>\n",
+       "      <td>2.795065</td>\n",
+       "      <td>4.141637</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                            s10       s13\n",
+       "ENSMUSG00000033845.13  0.000000  3.952259\n",
+       "ENSMUSG00000025903.14  0.278669  2.769812\n",
+       "ENSMUSG00000025903.14  3.174784  2.992448\n",
+       "ENSMUSG00000033813.15  6.947351  1.058026\n",
+       "ENSMUSG00000002459.17  2.795065  4.141637"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_log2_tpm_expressed_genes = kallisto_log2_tpm_expressed.copy()\n",
     "kallisto_log2_tpm_expressed_genes.index = kallisto_log2_tpm_expressed.index.map(lambda x: x.split('|')[1])\n",
@@ -1649,7 +4545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1661,7 +4557,70 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(6733, 2)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>s10</th>\n",
+       "      <th>s13</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000000001.4</th>\n",
+       "      <td>0.273651</td>\n",
+       "      <td>6.259357</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000000056.7</th>\n",
+       "      <td>5.218173</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000000058.6</th>\n",
+       "      <td>11.609494</td>\n",
+       "      <td>0.344833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000000078.6</th>\n",
+       "      <td>2.723716</td>\n",
+       "      <td>4.196505</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000000085.16</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.360020</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                             s10       s13\n",
+       "ENSMUSG00000000001.4    0.273651  6.259357\n",
+       "ENSMUSG00000000056.7    5.218173  0.000000\n",
+       "ENSMUSG00000000058.6   11.609494  0.344833\n",
+       "ENSMUSG00000000078.6    2.723716  4.196505\n",
+       "ENSMUSG00000000085.16   0.000000  5.360020"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_log2_tpm_expressed_genes_summed = kallisto_log2_tpm_expressed_genes.groupby(level=0, axis=0).sum()\n",
     "print(kallisto_log2_tpm_expressed_genes_summed.shape)\n",
@@ -1686,7 +4645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1698,7 +4657,31 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "before aligning: (6733,) (46983,)\n",
+      "after aligning: (46983,) (46983,)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "ENSMUSG00000000001.4     0.273651\n",
+       "ENSMUSG00000000003.15         NaN\n",
+       "ENSMUSG00000000028.14         NaN\n",
+       "ENSMUSG00000000031.15         NaN\n",
+       "ENSMUSG00000000037.16         NaN\n",
+       "Name: s10, dtype: float64"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "x = kallisto_log2_tpm_expressed_genes_summed['s10']\n",
     "y = s10_featurecounts['log2_tpm']\n",
@@ -1727,7 +4710,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {
     "collapsed": true,
     "deletable": false,
@@ -1747,7 +4730,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1759,9 +4742,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab77c7765c0>"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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UayHJMtucWX5BSFmCKFkQWPqZt7Bh28G4qcnWjlDliUw64PFMpY3luYUYtWgN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\nAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77c776748>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.jointplot(x, y)"
+    "snsy.jointplot(x, y)"
    ]
   },
   {
@@ -1782,7 +4786,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 55,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1794,9 +4798,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab77cbd2cc0>"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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7n4zblBu5t2RTbqP9faWbphvvNFy+s+u0hjU5ZRKU1htjfgA8EP75SuDPuWuS\nFMJYpmZGSwNPpb6mIpqiDImd3Io169m5ryvpa+tqynnTnKl48ERr5iX7pt7ki9+t4O8P4Kj/Oua1\nkGSZbc4svyCkLEGULAgsv+ocXtx2KG5qsq0zVHkikw54IlNp43ltIUYtWsOanDIJSp8FvgzcE/75\nd8C/5axFUhBjmZr5yuqnx/z+ZV4P3/zc2/nxY1v58upn6PIP0lBXyaxp9dEOLrYNU33VBAnS3jUQ\n1wnGdo6r1m1K6BydFciTXYtM4QUhaUfr7IAvXzIvIbPNmeUH8dOFzY3V0ftJFgR8dZWcMXdays3D\nL247lHaacSJTaeN5bSFGLVrDmpwySQn3o+rdJS/TqZlO/yA79nWP+jyns+ZN58ePbY3rhNs6+6Mj\no2VXLM6oDek6x07/IC8nOWRw/pwmXtvTmXBsBZD0vZyfMRQY4eTZjfT2DzEwNEIwGIyr55fsG3xD\nXWV0TSeyjuQc4UX+6RwxQWiPUbppxolMpY3ntYUYtbhp07IbHDnSMSmKsqYMSsaYLwHd1trvOK5/\nGqiz1t6R68aJ+9z70MaMn1vm9TBnVmM0ky5ZjTsIdcrODa+ppOsc731oQ8Ihg5XlXj73oTNZ/sCz\ncSOZZJ1q5JrzsVd2tKWtBtHkq+a1PfHTe93+QZ7eF7+O5Mz6iwSH6+56KmkZJDdNVxVi1KIKEfFG\nRpJXRyk13jSPLeXoOlKsfwcuy01zxO2eT1PN22l4JMj1H3kzFeVentvcGpdtFqunb4jtu4/w9KZ9\n0RFMKs7OMPbnzTvaE54/a3p9tJKB83Wp3st5PdmUIEBVhZfzFs4EgglTd87Ami7ApOrg3TRddc3S\nhZy3cCZ/ddwxnLcwfQUMyY2mpuaS36ME6afvyqy1CSva1toBY0wOmyRu9equ9jGngd+8+hmmOI4i\nryz34qurpKGukoMdvXGjkNjOO9nieropnWCS1s2aVg+knwpyXnM+dygwzHNJ9mQ11FZGN+3GimTQ\n7YhJ2kgXYCKft/dQD93hdaSZ4bU2t9CoRfIlXVBqMMaUW2vj5i2MMRVAXW6bJW70pe+OPcHhcFc/\nJ8+O3+xXWVHGqSc2Jey3gdBUWGQDbew5SNt3H+H5zQe45/oL4/b+LH/g2ej0oDMmNfmqUmb6RSS7\n5nxul3+QVeFSRZGg0eUfjGbLOTkLpTqD4J6DPXx59TN09w7SUFvJbVefm7MOX3t9pNikC0qPEqre\n8AVr7TADtgOCAAAgAElEQVSAMcYL3AE8lo/GiXvsOdjDcJJD/EYTDIamv85bODOhbt1QIDRHXl9T\nQZAgC+Y0EySYMiNtMDDCp7/5v5yz4FgCgZG4Y8xj1VR5efOpM8Zc7LTJV0UgMIJ94whBgpgTmqgo\n80QzAG+7+tzo+znPaPKE/8/r8dAXrq2XKtB8efUz0dcOdPZz8+pn+MFX3p22neOlvT5SbNIFpRuB\n3wCvGWM2hK8tAvaQnUP+pIjcMI5RUkSkgsPn7nySnX1Hp7Re/ksbvTFHW5SXe0dd3B8eCQWtuprU\n/+r2DYzQ25+6NFGsdGc6bXj16LmTzjOKnAv/wfD/DQeDvPDqwbSZc9298bPihzv7o/XvUqWpj5f2\n+kixSflftrW2B3i7MeYdhIIRwHestU/kpWVSMJHRQ+x01ZHu5CfLJuM8qiKyntLt2HTrTHyIdMSj\nHcgH0N+fOhsOYIM9lFHlhrF00smqbe891MMbB7oTKqGne9+G2koGYkZZQYgLjNkc2WivT7xins6c\n9CnhEdba3xljngdOsdZuGO35Uvyco4exlP6B0J6kZJW4fXWVce9VXVkWl8IdmT6rqynHg4f5c5p4\nfksryf47zGQmMVlgcHZKzgoQmb5nZN0pVRWKdJ3/bVefy82rn+FwZ3/cMli6NPVURutks7nXp5g7\n9Ihins6cLCnhmVQJfw/wPWAYONEYcxZwi7X2b3PdOCmMiUzxnD1/Bp/90KKkndXMafVxGWlVlWW8\n6eSp0TUb5zrRa3s6kwakTCULDPc+tJHnwp+xffcR3nzqdM5bODOhYrnXA4vMdHbsPUJH92DK93T+\nrrye0BlN6Tr/WdPr+cFX3p1QkDby3mMZ2YzWyWYza66YO/SIYp7OnCwp4en2KUXcSugI9A4Aa+2f\ngZNz2SgprPFO8VRVeCgvD/0r1ekfZMWa9Vx311OsWLOeLv8g1yxdGHcoX3vXAK/sOBz91n2wI7Hw\n6Xi92UxLGhhe2RFf8eHV19tZdsViFp82I+76206fyfKrzuG+f7k47f6chD1NHg8v72jjnoc20pWi\nRmDkd/P6gS4qy72Ue6Gi3MOGVw+y0R5kSkMlc2b6MtoP5OxU94aP/4j9vWdLMXfoEen2uYk7ZHTI\nn7X2gGNvUuYLDOI6mU757D3Uk7JAajIDQ8GUayMbtx1k0dzpNDim8Px9gejzstWBejzQ3j3A5+98\nMm7Pj6+uMmEjbOTnVNNco400nCfiDo8E8fcFeG7zgZRrWkmTK0aCDAVCU5n+fpg/pzmjUYhzzSi2\nkkS2RzOlsD6l0kXul0lQ6jbGtBBOMDLGXACMvhItrpXplM+egz1cs2LseS3JvkFHgk+qNZz1Ww7g\nzWTcnkSZJ36NKRgkGkzbOvujU4bLrljM/DlNcRth589pAsY/zZWuVNDGbQf5/J1PJhSfzWSEkela\n0r7wMe+R99/nOP4jm6OZUujQtQnY/TIJSjcQ2rN0kjHm98BfAe/LZaMktzKdhrnu2+NLtEyXPTcw\nOExzY3XC1FyqEkSZqKmuSHs6LRw9aqLJV81b57dwsKOPbv8ghzr6Rj2OPBPJsgb9fQF29B0NjpFA\nmUmG4VjWkgBOPbEpmniRaSWJWJkkMahDL6wjRzro7OzE5/OV9NpSJtl3zxljLgTeRmiP4P9ZazVS\nKmKjTcN0+ge596GN9GVvOSKO8yC+WGVeD0GCjIwhRg0Pj56VFDlqAkK16foHh+npG0oYSY3XNUsX\nMhQYZvOO9lC5oyAJxWHh6FlKcLSsUG11OT19QwwMDuPxhLIOx7qWFPl5vKOZUkhiKHWVlZX8fsMe\nLm1sLOkj0dMGJWNMGbDeWnsmodGSlIDROq7V6zZFM9Syzd8fYNe+zpSPD48EGe1LoHMfVH+KUVZl\nuZfZ0+s52NGXcJieU+xx5ONJffbVVXLzJ8+O/uzMrIuInKU00Q4/1ReL8b53KSQxlLqpzS1U1xTf\nOt5YpQ1K1tphY0yPMabaWjv+VChxldE6rlx3SEOjbDJKlwb+ZjONV3YcjgtKqZ5/wrE+Vl57fsoA\nEcvfF4gmJmRj1BAJ9PsO9SSsKTmNJwheFj54MFI/7/Il88bUPqdSSGKQ0pDJmpIF/mCM+RnQE71o\n7Xdz1iopqJqqjJIyC+LF7W0J1RNSiXSsl8d04MFgqIZeMhttaN1pX1tP3PXRgnSyAquzptePGsgi\nwSj2kL9Mg+CPH9saVz9v7WNbJzz9CMWdxCClIZPepxzYDMR+FSv9WheTRLJv6S//JfH0ViePByrK\nvCk7+FwZLSBFpuymTQkdOXHdXU/FVRuH0JrSFF81r+/vimu/vz+QNAFhtFHDeAuspqq7N57svImO\nbpXEIG6RSaLDJ/LRECmMZFNVmXzjSDfiiFXmDS3cV5R52bjtEBkOcsZtMDDCzPAZSqmm7Kb4qo8W\niB1lH1ZzYzWXL5kXPU4j2fSas8Cq8+dUUgWSTKbOnNNtr+/v4gNfeiRupCZSjDIpM/SpZNc1fVca\nnB3jlh2Hs/r+wyNBXvrLYcq9+Rte/99L+9JOQR7u7KPLP8isafWjBqUpvmrWPrY1LnAPBUaoCFc0\nb2mqpa6mgoGho/vJG2qPBqx060XOwFJXU86iudMzmjqLnW6LHfHl+igMKZyO9sNU1fTR2XlMSaeF\nZzJ9FzumrwYuBP4EKCjlSS4LYTo7xvYxVAMfi3zO8o2kSMeOaO8aYNW6TXEd+679nQwFEsNmk6+a\njdsOxl17ZUdb9LTc7buP8GYzDa+nO25NKSJd0kSydZxM/15jp9s+8KVH4h7LdKQmxWVkJEBVVemn\nhY95+s4YcyzwnZy1SBLkcg9JbMfo9YB9o/S2oDlTyCF0v7Ed+96DPdy8+ploqaOWqbWcMMPHUGA4\n7rh2IKFUUVfvUMqRSaq1n2x+0XAehRE7UpPSMbW5hanTZuDvybz0VzEac2EXa+1+YG4O2iIp5HIP\nSaRjXnnt+SUZkACqq8oSrsWu2+w52MONq56mvauf4ZEgbzq5iW98+q9ZdsVi2rviR471NRXR0kTJ\n3ivd58T+HPmisX33EZ7etI9V6zaN+b4ibrv6XJobq6mq8NLcWB03UhMpNmNdU/ISms47mOLpkgOZ\nVGCY6LfuV3e1Z6WthVRR7mF4OJiQTDE4NEx1hYeh4dAZTgtObuaapQujlSviNgoHg2ywbdE9S87f\n/RlzQ9XHV8X8vp2JEJcvmcfax7aGj1gPlTWKHM8ROzKNNZEvGpGjMERKwVjXlALAFuALuWmOJJNJ\nBYaJTu/9y71/zEJLs6++poKpjdXsb/MTDI4w5Kgo5AHqairoGwgkXRMCGAoEidRzWGSmR383K9as\nT1m5Il3ZHmf6dOzm3O27j/D85gNxmYnNjdXRY9Qj0n3RKIXD9ETGK5OgtMJa+2rsBWPMqUDxf7Uu\nEmOtwDDWb92dWTwyYqqvmopyL/sPZ2eKcf6cJl7b05ky/TwIoxZjjRX7u0n3e5rqC537lMn+Hef7\nONva1tnP5+98kim+6miQSfdFY7xfMhTMSltH+2GCeOnr8xMMHl/o5uRMJkHpQeDMDK5JgUy0RMyt\n9z+dlXa8ac4UGutrErLVxqrM6+H4GQ3MmlZP70BgQof9OcX+btJV6w4mSWBP1elnUvW7rTO0gTc2\nyKQKNOP9kpEsmF29dKECVYkYGQkwMjLEyHDqzNJSkDIoGWOagelAtTFmHkRTjhqBujy0TTKU7lt3\nJt+et+/pzko7Xn6tg/ABxRMyPBKk2z9Ia1kvO/amLt6aqYpyD+VlHsq8ZQwFhqOFV69ZupBAYISX\nd7TR2x+Iq6HnTHCA1COYa5Yu5NVd7RkHz9GCzHi+ZHT6BxO+DLS296r6dwmJzb4r1T1KkH6kdBlw\nLTAT+E3M9U7gjlw2SsYm3RTTaJ3SnoM9SV9XaJGRxVh4PMmLs1aUldE7EABGeG5zazSJwVdXyU2f\nfCud/kGuvfPJuM+LBILYoL6/zR/3vpHg4qsL7U369Df/Ny71vL6mgmOb6xLKHI0WZMZTh271uk0J\nqestTbWq/i1FJ2VQstbeDdxtjLnRWvv1PLZJRjGWtYPROqUvfPvJnLUzl+prKnjTnKkECUYz215+\n7RCdPYnrS6GAdJTzd7B63aaE2niRQJCqPh3EB5e1j21N2At1xtxpLLtiMV3+wbhsvdGCzHjq0Dnv\nqb6mIpolGDvq2tfWk5VDDUVyJZPNs18HMMZMJ1TRIXL9jRy2S9KITWPevvsIgcAIN33yrUmfO9pU\nUP9gfguqTkSk2OrM8BEQzrOPenozm2t3Hsnu7NCn+KqjHbbzsbqacmY21ycEl1RBAfJT7DRZ6npk\nihKIViKPHEsPmsYTd8pkn9KFwBqgBRgGKoHDhNabJE9iO1/nOsvLO1JX9U43FeTWqbtUPB7iAhKk\nH8mkfB9HRYZ0gdv52KK50xM6807/IB1d8VONkaCQL6n+niMB8bq7noq7D03jiVtlkn33LeBi4CFC\nGXdXAifmsE2SRLrO19nJxkr3Lf3z33oiK23Ll4GhEZ7etC9uZLjv0NgD62FHAEkXuJ3HnA8FRqKJ\nEhHppv9yaSzTuDrEr/hFUsKDwUmafRfLWrvNGFNhrQ0C/26M+TNwc26bJrHSfbN1lr3JxB837GFw\nePTn5VuTrwp/3xADKY44B9j0l6NZZkd64rPkKso8o55sG9mDFJEucPvqKqkoL4vuhXpu84FookRE\nuum/XBpLZp0O8St+IyMB/D2dXHKewefzFbo5OZNJUIqsHO81xvwtsAsYey8oE+L8phs5qG68Hcwd\nP34hm83LmqmNNZx20tS0U3KDQ0eDTr8jiaGi3MvXP/02/vXeP6Y8Jj3ZHqR0RksWKdQoZCyZdTrE\nr/hNbW6huqaWxsbGSZsSHnG3MWYK8GVCm2YbUZmhvJvIMQdObl5LctaHa2mq5YVXW+kbiB3WBaNT\naB5v/H+cHq+HXz71WlxAclYJT7YHabQ2xQadjq7+uCm8Qo1CNCUnpSiT7Lv/DP/xeeCU3DZHUpnI\nN93YtYcmX3XKem9u0DcQ4J6HNsQVML3HUTR1eIToFNqb5jTHPVZVUcb6LfH3V11ZFne+kjP7bjTO\nzbFtnf1xU3iFGoVoSk5KUSbZd7XAjcAca+1HwnXvTrXW/iLnrZOsGE+GWqG88OrR9aLtu4+weUcb\ng0nWlyJTVZ/70KLoHiDnJtWIKkdQ2mAPjunocF9dJVN81XHv7YbsNU3JSSnKZPpuFbAfiHwN2wP8\nJ6CgVCTc0IGm4/WQcNxEREd38mKxyQqmXnfXU3GBo6rCy+LTZvD6ga64KbtQNfFg3NHho2WyZVLV\ne9+hHrr8gzTUVTJ9Sg0ePBzu6lfNOcmKyHHopVyMFTILSqdbaz9mjHk3gLW2xxgz5sMBpXAyKRha\nSKkCUjqDgdDIJzaYOPcKLT5tBsuuWMwnvvo/Kd8ncnT4aJlsmVb1htD03s59R08HVc05yYaRkUDJ\nF2OFzIJS3KqwMaaacZxYK4UT6UB3t3bz+oHsFF/NNq8HaqsrmDOzgc072hklq5ttb3QmrVnnzErs\n9A/SN5D6P+TI0eGjZbKlmyrLZCTqhtGqjrYobpHsu1LOvIPMgssfjDE3AlXGmAuAnwC/zGmrJKsi\nHWrrYXcGJAiNlnr6htjX1jtqQIJQWrdz0yqE9gitvPb8aMHVex/aELeeBKFyRc6jw1MdW56JTJ7r\nhsy4bB7BLpIrmYyUbgL+FegmVB38V8A3ctkoyZ7Yb8f9mZ+FlxeRbO7Y6bvIdJpTk68qbl1owZzm\npKMPZ3Xv9Vta4x4v83r4wVfeTZBQJ33ngy9EjzCH8WWyRZ4bWVOqqS4PbQAeHMbj8TB/TlPK98vn\n6EUVw6UYpDtP6U5r7fXA+621XwO+lr9mSba4OfOuprqcmsryuNFOQ20lAzE/19dUcMbcaVy+ZB5r\nH9sa13k7K2A3N1Zz+ZJ5rFizno3bDiYc5QBQXVWGr64y4QhzGP+aT7rj0QEqystSBpp8nnekfU1S\nDNKNlC4O//MG4Kd5aIvkQD6+DS84eQp7D/WOeVOqvy+Avy8Qtw6ULPhEOnRnZ+1MPrh8yTxuXv1M\n2nOYFsxpjr4m1t5DoSMdsjFiGcuIJJ+jF+1rkmKQLijtNca8DJxkjHne+aC19i3ZaIAxZhehgwNH\ngKFsva+E5CPz7uXXOqipGn/uS3fvIKee2BQNBJmOFJKNUFIFpDKvh3MWHBvtiJ2/l70He6IZcxMd\nsYxlRJLP0Yv2NRU3pYTD+wlVBV8L/EsO2zACXGCtnfg52pLgmqULOdzZy9ZduQ1MfQPjP5cpUv37\nxW2HOGPutIxGKcnWYtKNMo6f0ZAyxTvZptuJjFjGMiLR6EUyNelTwq21Q8Bzxpi/sdZuy2EbPCjF\nPGd8dZU5D0gRTb4qGmorM0o7ryz34vEQVw28p28o5QF0ziA0FBjmuc2hJIbISKPJUf07Vrd/kOvu\neirpFGFgeCQhKE1kxDKR0Z5IKpMlJTyT2ne5DEgAQeBxY8wwcL+19oEcf15JSTZiiGSWtbb30lBb\nkbe2tHcNZLyuFDlBNlkSRuwoJXJ/kZNTIRSEyhyFWEN1/RJr2tXVHE2maOvsZ/vuI3F17JK9V77O\nQxKRRBmdp5Rj51pr9xtjphEKTluttU8XulFu5qxiENvBRrg14y6itaOXaVNqeev8Fl7ZcTguUy52\nlJIqe3DYUQaipak26dHl99/wTpY/8GzcSMiZdh55r0imnzaVihROwYOStXZ/+J+HjDEPA28BUgYl\nY8xy4Jb8tK5w0u1fSZfmXSx7T/x9AZ7bfIDzFs7k/hveGS2q2tJUy6VvP5lPfPV/6O4dJJDBTtr6\nmoqkKeKL5k7HV1eZkEzgTDuPOLa5TlNpUlCTpX9LJ5Mq4VOB48I/7rbWHs7Wh4crkHvD9fTqgHcB\nt6Z7jbV2ObDc8T4nAjuz1S43SLd/JV3gmeqrprzc68pad2VeD5UV3rizkTZuO8jyB56lpamW5Ved\ng6+ukk989X9SZtF5PCQc3nfG3Gn46iq5fMk8Xt3VTnfvIA21ldENsclSx6+/56mEfUzatyOFlq5/\nm/TZd8aYk4H7CWXgRb6WzzTGbACuttZuz8LntwAPG2OC4bb82Fr72yy8b9FLt38l3XlAQYLRTvj/\nXto3rmKnuTI8EnQc1hcaMW3ffSQaRK9eupDDXUmOn6jw0lBbSWBkhCMxlcMry71cFt4wG7vuNNDZ\nz9rHtkbLDTlHQIvmTo8bbbptHUl16sRp0mffAWuA7wLvtNaOAISrg38k/Ng5E/1wa+1O4IyJvk8p\nck45Nfmqo5s7D3f2pXxde9cAvrpK3vamY8e1rlRTVZYQOHJhzkwfBzv6okEEQoF39bpNSY8xHxga\nYaCzn7rq+H9lZ0+v58ePbR01YcIpmyf55kI+Kz1IcVD2HUy11v449kI4OK01xtyc22aJs9McCgxn\nFGQiU1B3/PiFMX9mRRksPGUaf8rSybRNviqmNtawY29nQmLCkZ6BhOrdyZIVnJz/Qc6cVp/yNemm\n42JHT53+wbg1LTcEKNWpk8kq3f6gdmPMh40x0V7AGOMxxlwGuG/BosREOs1IxevRUq2rKryct3Bm\n9LiG8RgaJmsBCeCvjjuGldeez1nzWhIea+8aiAtUkbp16UaBAPPnNHHewpn81XHHRO/XGXzqasqj\nj2XCjdWzJ1K1XKSYpRspfQxYDXzHGLM3fG0W8GL4Mckj53ReZbmXwcDRjaeRA+0AbvuPP+W9fcm0\ndw3Q6R/EQyjJwTlaijXFV83ax7YmBN/6Gi9vmjM97QmuE52Kc+OoRJUeZLJKV9FhO3BxeP9QbPbd\noby0TOIkyyBzFi6NeOkvbYVqZpwmX1XCIXz1NRX0DQQy2mcUUsZNn3xr2s+ZaFUEN1bPVqUHmawy\nqehwCFAgKrBknVSyTit00mruExVSqSj3MHt6A7Om1RMIJJbvOba5jobaCjbEfLdprE++zwhC2YS5\nplGJFIOO9sM0Thl/jcliMa7Ns8aYl621C7LdGEkUSQ2OHCDXUFfJrGn1SaeoOv2DfGrF43ltn3Pf\n0FAgyKGOPmZNq6e1I3Hks7/NT1t5fLLCybMaWbVuE28c6Ep4v8hRE7mUy1GJUrslW3p7u3nfRQvw\n+XyFbkpOpdundFqa103NQVskCWf1hrbO/ugRC86OdOWDL9DlL/w+hkhhVWdNuchjTtve6Ex6vbmx\nms9+aFFO2pgvSu2WbGlqaqaxsXFSp4S/AuwiVMXbKfdfXwVIvejuvN7pH2TDqwfz0aQ4XiDVZGFk\n3aiuphwPnqSBB1JP0fUPDkerPRTrCMONSRQibpYuKO0C/tpau9f5gDFmd85aJHFSHdLnXIxfXaA0\n5im+6rQnvQLMbK6npak2oYLCFF81Tb4qtu8+kvTo8p6+obhqD8U4wnBjEoWIm6ULSuuAE4CEoAT8\nPDfNEadrli6MO2oBkpfE2XeoJ6/tKvNCmddLl3+QynIvLVNrmdlchwcPL+9oS6j6nSpte8Wa9XFp\n4JXlXmZNr+dgR2/ce0x0hFGotR0lUYiMTbqU8JSnzVprP5+b5oiTr66Su6+/cNSKA4eOpN90mm0j\nIzA8cjQTaHdrDzOb6/jYe+fz///6FTbvaCdIkAVzmtMec+4MNicc62PlteezYs36uJFVR1c/Xf7B\ncQeSQq3tKLVbsuXIkQ46Ozvx+Xwlva6UcfadMeYY4AJgp7W28FveJ5FUHVvk2//eQz109yZfr8mV\nZKtAz21u5bU9nXGjuvJyb9pAkmp6yzlCbOvsZ9W6TePu4J3Bb+O2gymDnDLmxI0qKyv5/YY9XNrY\nSGNjY6GbkzPpsu/WAt+01m4yxjQBm4AuoNkYc5O19t/z1cjJZCwdYrpzlQrFeYDe+i0HuO0//oQH\nT9KqDKmmt3x1lQnrVROZwnMGP39fIGWQU8acuFGkIGupSzdSOjNmRPRRYKu19l3GmNnArwEFpRwY\nrUOMDVr72/wFaWM6zgP0BoZGeG5za/Rn5z2lm97KZpLANUsXxh1tAZlnNipjTiR/0hVkjU2pOg94\nGMBau4fkszeSBaN1iLHFQ1OlWOeLB/B6QnXt6qrLeev8Fm67+lzOWziTqorU/2pl2slfs3RhQvHV\n8fLVVXLG3Glx11IFORVDFSmctGtKxpiZQAehtaTYI3qrc9imSc05Oujo6ue6u56KTm256Vv7KeEq\n4HB0BHfngy/Q0lTLGXOnxY2QYqXr5HO5npNpJpwy5kQKJ11Qup1QRfBB4Glr7RYAY8zZwBt5aNuk\nFNshHuzw09bZT1tnP9t3H6GvfyjlvqVCiA0uzmnHs+fPwOsh7uRbD3DuKCOeXK7nZJoJp4w5kcJJ\nOcdirf0pcDrwXuDvYx56A7gqx+2atGLPUerpjd9Q+uL2Nq5ZupDmxtwMVJOVBaosT/xXJNl5Rc4R\n3OGufpp88e2c2lgdPZ48Fa3niCTX0X6Y3t787kcshLTTd9baA8ABxzV3pXuVsKDjXPBgMJg0Ky1b\nkp13FAwmViWe2VyfMJJIlpRw/UfezM2rn6G7d5CG2kpuu/rcUdswkeQGpXJLKZv0BVml8I5pqIqr\ndnBMQxWQuvRQLgwlKWwXGyg6/YOsfPAFNm0LHUXhAc4006IB4QdfefeYPu/yJfN4dVd7NJBdvmRe\nxq9VKreUMhVklYL7+jXnJR1pXLN0Ic++vD/tSa65UFtVxoJTmuOm7Vav2xRXCDYIvH6gO+MRinN0\nMxQYjo4CBzr7WfvY1owDy15HqSXnzyLifgpKLjZren3SkUYQqKkqoydJEdNsaW5MnCI889SWhACR\nbM3HuYE2Hefopr6mIu7x9VsOsGLN+oym4rr9g2l/FhH3U1ByuWTrJCsffCHrAckDTPFVMTA4jMfj\n4fgZ9fT2D9Ebc4ptsqKvyaYSG2ozX8dxBjXnMRYDQyPRoDXaiMlXVxkXSLWeJFJ8FJRczjmScFYM\nz5aTZvqYOa0++lkbbFvCc3bu7+Ifb/pvPB4P8+c08bkPncllS+bxyo42jnSHRiWN9RUZJTREOIPa\ngjnNlJd7Wb/lAANDR5MsMsnCmzmtnh3hAxAjP4tIcVFQcpFkoyJnZ5yLgAShDny0jj8YBH9/aIT2\n3OZWVoXPcIoEJIAFJ09j1vTUwcB5j5FEhmRHWsTW9cskC0+bXqWUHTnSkZCRW4oUlFwkWfZYrjPt\nIhtaL1syjy+vfmZMr00WxEYLbJlmyI0nwGjTq5SykZFUZzyXFgUlF0m2cXT5VedE/9zR1Z/VkVJF\nuYd7r7+IWdPrWbFm/Zjf+3BnHwOOnPHRRjSZbo5VgBGJ19TUXPLp4KCg5Bqd/kE6uuKDQktTbVzn\n3OUf5LKvPJq1zxwZgYZwMkC6EU55mYeWKTUc7OhjaPjo9EHsHqr6mgrOmDtt1BGNjgcXkXTSVQmX\nPFq9btOoR55vf6Mjq585PBKMrgulCw6B4SADQyOcODP1wWLHNteNWkIIslv5W0RKj0ZKLuEcqXT3\nDrJq3SYuXzKPH/x6M6/saMOfYRq4r66cLn9mz41sMHWe9OrU3TvIqSc2pVzfammqzajMj6blRCQd\nBSWXcE5rRfbnbNl5OG6aLBOZBiSAI92hIOSrC1WMuHrFE0mf11BbGZd80OSrSjhNdlUWy/yojp1I\nPGXfSV5FOnzn/pyxBqSx6uge5P3/8iuqK8uoTHEwX2W5ly99bPGoo5xsVvhWHTuReJMl+05rSi4R\n6fAXnzYj7589PBLE3x+gozt5WZ7BwAjf+OF6rrvrKVasWU9XivI92Tyx1RnQXtx2aNTPFyllyr6T\ngoidItvX1pPxOlKuxR42CKFRSyYbYcci9v2cmYg9fUNs331EoyaREqeg5DKxU2TOqgb5VOb1pKxC\nHhnFZHuKLfb9IJSBOMVXnRCcdfCfSOnS9J2LXfr2k5Oe/JoPi+e1RFO3nSfdRqblsn1KrPP1U3zV\nrB2F7JwAAA6ZSURBVLz2fBbNnZ7080Wk9Gik5GIr1qxnMJB48ms21dWUM31KLZ09A/QPDDMwNExV\nhZcgwWjGW5c/lJ7unJbL9kbYVO+nmnYik4eCkouN5Vyi8XrTnKlUlJdRXualo6uf3oEAvQPD0YKr\nkQ2x2apPl06q99PeJhGlhIsLNNRWMpCjquAQWrPx4Em5bjXadFy2g4WCj0hqkyUlXEHJJZJtFv3M\nB89g+QN/yurnVJZ7mTW9nulTaoEgG7cdTPlcrd2IuIdSwiWvkmWyvfzaoax+RkW5h0VmGu1dA2zf\n3ZFyY25dTTmL5k7P2tqNqjOISKYUlFzCedT4vkM9dPYMZfUzyss8PLe5ddTnzWyuTzmNNp4Ao+oM\nIpIpBSWXcFYpeP1Ad9Y/Y3Aos0XSdNN24wkw2U4dF5HSpX1KLtHgGG2k2rg6Eenes8lXldFxEuMJ\nMNksPyQyWSn7TvJq1rR6du7rytn7J6vQ0OSrYmpjTdppOOd0XZOvKu7xTAKM9hmJTJyy7ySvRjvP\naCKaG6sZDAQSjrRwHmWejHO67uz5Mzhv4cwxBRileotMnLLvJK+2v9GRk4BUU+Xl1BObeP1AF13+\n+GQKf19g1CKnzum5l3e0cf8N71T2nIjkhNaUXGL5v2d3P1JE30DosMDWw+nXflKtDTmn5/x9gegR\n6iIi2aagNEmMVkMv1drQNUsXUl9TEXdN2XMikiuavhOaG6vj1oacyQ3z50zluc0Hoo8re05EckVB\naZI7pqGSk2c3svyBZ6OJC87khrfObxlzcoOIZNeOXbvZ8JKP+oaGQjdlfIJBTpt7InV16b/UKihN\nct3+oWiVh0jCg3N67lBHH9Om1LC/zc++th7ueWgjn/vQIiU7iOTRnBOPo79sGgN9xZmBNzDQz8zO\nLvcHJWPMEuAuQutb37fWrihwkyaVEcdmvMhoKPZcoy7/IDti9lA9t/kA/3T749H6ePkMTuMpc6Ta\ne1IKamrrlRKea8YYL3AfcDGwD1hvjPmltfbVQrZrUnFsEG870ktgeIQmXxUDg6F9TIeTpKr7+wLR\nKb5M9yBlIziMp8yRau+JFI9Cj5TeAmy31r4OYIz5L+BSQEEpT5xFSzq6B+nozvxwwdb2Xjr9g9z7\n0EZeea2N/sFhKis8nH7K9IQpvmwEh7GUOYoEwfVbDsRdV/agiHsVOijNAnbH/LyHUKCSIrF99xEu\n/8qjcdf6BoI8t/kAl33lUZZd/ma+/8hmuvyDCWnpT2/ax3PLfsWMqXXUV3t59Y0ugkHweOBfP/pm\nfv/CHl7+Sxt9A8N4vR6qK8uoqiyLe49Mi8dm+hoRKaxCByUpcSvWvpD28aFAkN2t8ZUmgkFYsSb+\ndcMjQfz9Afz9AZobq5niqx41E9A5Iqqq8LL4tBnKHhRxsUIHpb3A8TE/zw5fS8kYsxy4JYdtEpeb\n4qtm5bXnj/o8Z8LG4tNmaC1JXC1d/zbDN8T0xsyn1t0mGPQwtemYUZ9X6KC0HjjFGHMCsB/4R+DD\n6V5grV0OLI+9Zow5EdiZkxaK62Q6/abq5FJs0vVv5pSTmD17dgFalV8FDUrW2mFjzGeA33I0JXxr\nIdsk2VPuhesvfzPf/2VoTSkYDOL1hg4bDAIeoLzcM6Y1pQUnN2ccXFSdXKT4FHqkhLX2McAUuh2F\n9sidlxa6CTlz3sLxfbsb7+tEpHipIKuIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiG\ngpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKI\niLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiG\ngpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKI\niLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiG\ngpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLiGgpKIiLhGeaE+\n2BhzC3AVcDB86UZr7WOFao+IiBRewYJS2Epr7coCt0FERFyi0NN3ngJ/voiIuEihR0qfMcZ8FPgz\ncL21trPA7RERkQLKaVAyxjwOtMRc8gBB4Cbgu8BXrbVBY8xtwErgynF+VBnAgQMHJtBaEZH8uvji\ni08E9lhrA4Vui1t4gsFgoduAMeYE4BFr7ekZPHc5cEvOGyUikh8nWWt3waj9W/R5paxgQckYM8Na\neyD85y8Ai621Hxnne1UB/cApwHD2WlkQO4GTCt2ILCmVe9F9uE+p3MtOoCLdSMkYUw7MZpKMqAoZ\nlNYAZwAjwC7gn621rRN4v6C1tugTJ0rlPqB07kX34T6lci+lch/ZVLBEB2vtFYX6bBERcadCp4SL\niIhEKSiJiIhrlFJQurXQDciSUrkPKJ170X24T6ncS6ncR9a4IiVcREQESmukJCIiRU5BSUREXENB\nSUREXENBSUREXENBSUREXKPQR1dMiDHmA8ByYB6h2nkbYh67AfgkEAA+b639bUEaOQbGmCXAXYS+\nLHzfWruiwE3KiDHm+8B7gdZIUV1jzBTgIeAEQmWkPuj2o0mMMbOBNYQq248AD1hr7ynSe6kC/gBU\nEvrv/GfW2luL8V4AjDFeQkfc7LHWvq8Y78MYswvoJPTv1pC19i3FeB+5VuwjpZeBvwOeir1ojJkH\nfJBQsLoE+K4xxtX1pcL/0d0HvBuYD3zYGHNqYVuVsR8QanesLwG/s9Ya4H+BG/LeqrELANdZa+cD\n5wCfDv8dFN29WGsHgAuttYsI1Zi8xBjzForwXsI+D2yJ+bkY72MEuMBau8ha+5bwtWK8j5wq6qBk\nQ7aTeILtpcB/WWsD4VLv24G3OF/vMm8BtltrX7fWDgH/Reg+XM9a+zTQ4bh8KfDD8J9/CLw/r40a\nB2vtAWvti+E/9wBbCVVnLrp7AbDW9ob/WEVotBSkCO8lPIJ9D/DvMZeL7j4I9VPOPrcY7yOnijoo\npTEL2B3z897wNTdztnkP7m9zOtMjVd/DR5RML3B7xsQYcyKhEcafgJZivBdjjNcYsxE4ADxurV1P\ncd7Lt4F/IRRUI4rxPoLA48aY9caY/y98rRjvI6dcv6aU7vRaa+0jhWmVjEPRlA4xxtQDPyO0Ftlj\njHG2vSjuxVo7AiwyxviAh40x80lsu6vvxRjzN4TWKl80xlyQ5qmuvo+wc621+40x04DfGmMsRfb3\nkQ+uD0rW2neO42V7geNifp4dvuZme4HjY34uhjan02qMabHWthpjZgAHC92gTIQPVPsZ8CNr7S/D\nl4vyXiKstV3GmN8DSyi+ezkXeJ8x5j1ADdBgjPkRcKDI7gNr7f7wPw8ZY35BaMq+2P4+cq6Upu9i\n15V+BfyjMabSGHMSoRNpny9MszK2HjjFGHOCMaYS+EdC91EsPCT+HXw8/OePAb90vsCl/gPYYq29\nO+Za0d2LMabZGNMY/nMN8E5Ca2RFdS/W2huttcdba+cQ+m/if621HwUeoYjuwxhTGx6BY4ypA95F\nKFGrqP4+8qGoC7IaY94P3As0A0eAF621l4QfuwG4EhiiuFLC7+ZoSvg3CtykjBhjHgQuAKYCrcAt\nwC+AnxIasb5OKNX1SKHamAljzLmE0qhfJjSNEgRuJPSF5icU170sILRw7g3/7yFr7deMMU0U2b1E\nGGPOB64Pp4QX1X2Evxw/TOjfqXLgx9babxTbfeRDUQclEREpLaU0fSciIkVOQUlERFxDQUlERFxD\nQUlERFxDQUlERFxDQUlERFzD9RUdRACMMf/A0QrK1cAGa+3l4ce+CSwFTgTeZK3dEvO6vyK0X6cJ\nOAxcYa19Lcn73wLUWWv/dQxt+hjwXmvtP4T30HzLWrvYGHMssNZae3Ga154AvMta+0CmnycyGWik\nJK4XLr/yHUIB4Exr7WnAN2Oe8jDw14TOo3FaDdxrrT0V+C5wf5abF3T+2Vq7P11ACjsJ+Kcst0Wk\n6GmkJMVgBjBIzPEY1tpNMX/+PwDnmVnhwpeLCB0DAvCfwH3GmKnW2sOpPixcDWEt8Bng/4D/JjTS\nqiFU3eGfrbWBNK8/AfiztXZauMTPD4HTCFUXsdbafyR0dtaJxpgNwF+stR80xiwmVNGjFvATqkTy\n59F+OSKlRCMlKQabCNUGfMMY81NjzOfD5VlGcxyw11obGcGMAPuIL9YbxxhzMaGA9EFr7R+ttcPA\nh621b7HWLiD0Re6TGXx2ZAT1bqDBWvum8IF7/xy+/mlCNfbODAekCkKFYG+01p4BfAVYFy4QKzJp\nKCiJ61lrg9bavwPOJ3Q6598Am4wxx2T5o95N6Oyed1lrLURPBP5XY8xGY8xLwIWEzlnK1CZgnjHm\nXmPMBwiN+JIxwIC19vcA1tongIHwdZFJQ0FJioa1dou1dpW19l1AF6EisOnsBmZFpvXCAWYm8Ycp\nxtoGlBF/SvFHgLcROgvndGAVoUSLTNu8k9Dx9o8D7yAUTCszfLnzRGWRkqegJK5njJlpjDk75ufZ\nhCrD70z3OmvtIeBFQoGF8D83pFlP2knoSIHbw9l+AMcAbdba3vBREB9J8VqnSCCcBYxYa38FXBdu\ndxOhoNoY21ygMpzFhzHmIkJThTbDzxMpCZqvlmJQDtxqjDke6CfU4d8USXYwxtwN/D2hE4p/Z4w5\nHF7/AbgG+KEx5suEEiWuSPdB1tq94XWlx8JJCmuAS40xWwgdwPYHQgkPo/l/7d2xDcJAEETR6WYi\nqsE1IWJXx3VgiSYIsFPiFXqviX/aXemundItybNt8n0EPtZaR9t3knWOBF/nXmlLsre9Dh3uvw4q\n4B/5ugKAMYzvABhDlAAYQ5QAGEOUABhDlAAYQ5QAGEOUABhDlAAY4wMHa1QrN7NENAAAAABJRU5E\nrkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77cbd2c88>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.jointplot(x, y, stat_func=spearmanr)"
+    "snsy.jointplot(x, y, stat_func=spearmanr)"
    ]
   },
   {
@@ -1819,7 +4844,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {
     "collapsed": true,
     "deletable": false,
@@ -1857,7 +4882,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 57,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1869,7 +4894,23 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ENSMUSG00000000001.4     -5.985706\n",
+       "ENSMUSG00000000056.7      5.218173\n",
+       "ENSMUSG00000000058.6     11.264661\n",
+       "ENSMUSG00000000078.6     -1.472789\n",
+       "ENSMUSG00000000085.16    -5.360020\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_diff = kallisto_log2_tpm_expressed_genes_summed['s10'] - kallisto_log2_tpm_expressed_genes_summed['s13']\n",
     "kallisto_diff.head()"
@@ -1877,7 +4918,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1889,9 +4930,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77cd16c88>"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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se8Dd9y7UOZtg2A/sMrN2oBu4A7gzo89TwOeAJ8zsBuCcuydPxfxL4JC7fyW7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\nBYOIiKRRMIiISJr/DTs+ZmPfTvgQAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77caa8898>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.distplot(kallisto_diff)"
+    "snsy.distplot(kallisto_diff)"
    ]
   },
   {
@@ -1918,7 +4980,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 59,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1930,7 +4992,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(218,)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0    ENSMUSG00000000827.18\n",
+       "1    ENSMUSG00000001418.13\n",
+       "2    ENSMUSG00000002699.12\n",
+       "3    ENSMUSG00000002885.14\n",
+       "4    ENSMUSG00000002996.17\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_s10_specific = kallisto_diff > (kallisto_diff.mean() + 2*kallisto_diff.std())\n",
     "kallisto_s10_specific_genes = pd.Series(kallisto_s10_specific.index[kallisto_s10_specific])\n",
@@ -1960,7 +5045,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -1972,9 +5057,36 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(162,)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0    ENSMUSG00000000386.14\n",
+       "1    ENSMUSG00000000399.10\n",
+       "2     ENSMUSG00000000581.8\n",
+       "3    ENSMUSG00000000753.15\n",
+       "4    ENSMUSG00000001127.12\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
+    "kallisto_diff = kallisto_log2_tpm_expressed_genes_summed['s13'] - kallisto_log2_tpm_expressed_genes_summed['s10']\n",
+    "kallisto_diff.head()\n",
+    "kallisto_s13_specific = kallisto_diff > (kallisto_diff.mean() + 2*kallisto_diff.std())\n",
+    "kallisto_s13_specific_genes = pd.Series(kallisto_s13_specific.index[kallisto_s13_specific])\n",
     "\n",
     "print(kallisto_s13_specific_genes.shape)\n",
     "kallisto_s13_specific_genes.head()\n"
@@ -1982,9 +5094,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 61,
    "metadata": {
-    "collapsed": true,
+    "collapsed": false,
     "deletable": false,
     "nbgrader": {
      "checksum": "23353ecb34dd90a2c06220ae14bb9f66",
@@ -2022,7 +5134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -2034,7 +5146,23 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    ENSMUSG00000000386\n",
+       "1    ENSMUSG00000000399\n",
+       "2    ENSMUSG00000000581\n",
+       "3    ENSMUSG00000000753\n",
+       "4    ENSMUSG00000001127\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "kallisto_s10_specific_genes_ensembl = kallisto_s10_specific_genes.map(lambda x: x.split('.')[0])\n",
     "kallisto_s13_specific_genes_ensembl = kallisto_s13_specific_genes.map(lambda x: x.split('.')[0])\n",
@@ -2059,7 +5187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 63,
    "metadata": {
     "collapsed": true,
     "deletable": false,
@@ -2095,7 +5223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -2107,7 +5235,37 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "==> kallisto_s10_specific_genes.csv <==\r\n",
+      "ENSMUSG00000000827\r\n",
+      "ENSMUSG00000001418\r\n",
+      "ENSMUSG00000002699\r\n",
+      "ENSMUSG00000002885\r\n",
+      "ENSMUSG00000002996\r\n",
+      "ENSMUSG00000003662\r\n",
+      "ENSMUSG00000003721\r\n",
+      "ENSMUSG00000004266\r\n",
+      "ENSMUSG00000004609\r\n",
+      "ENSMUSG00000004610\r\n",
+      "\r\n",
+      "==> kallisto_s13_specific_genes.csv <==\r\n",
+      "ENSMUSG00000000386\r\n",
+      "ENSMUSG00000000399\r\n",
+      "ENSMUSG00000000581\r\n",
+      "ENSMUSG00000000753\r\n",
+      "ENSMUSG00000001127\r\n",
+      "ENSMUSG00000001289\r\n",
+      "ENSMUSG00000001794\r\n",
+      "ENSMUSG00000002845\r\n",
+      "ENSMUSG00000004296\r\n",
+      "ENSMUSG00000004530\r\n"
+     ]
+    }
+   ],
    "source": [
     "! head kallisto*specific_genes.csv"
    ]
@@ -2136,9 +5294,137 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 65,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>1</th>\n",
+       "      <th>7</th>\n",
+       "      <th>4.9%</th>\n",
+       "      <th>5.0%</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>transporter activity (GO:0005215)</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>translation regulator activity (GO:0045182)</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2.1%</td>\n",
+       "      <td>2.2%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>protein binding transcription factor activity (GO:0000988)</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.7%</td>\n",
+       "      <td>0.7%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>enzyme regulator activity (GO:0030234)</th>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4.2%</td>\n",
+       "      <td>4.3%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>catalytic activity (GO:0003824)</th>\n",
+       "      <td>5</td>\n",
+       "      <td>47</td>\n",
+       "      <td>33.1%</td>\n",
+       "      <td>33.8%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>channel regulator activity (GO:0016247)</th>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.7%</td>\n",
+       "      <td>0.7%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>receptor activity (GO:0004872)</th>\n",
+       "      <td>7</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.7%</td>\n",
+       "      <td>7.9%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nucleic acid binding transcription factor activity (GO:0001071)</th>\n",
+       "      <td>8</td>\n",
+       "      <td>9</td>\n",
+       "      <td>6.3%</td>\n",
+       "      <td>6.5%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>antioxidant activity (GO:0016209)</th>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.7%</td>\n",
+       "      <td>0.7%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>structural molecule activity (GO:0005198)</th>\n",
+       "      <td>10</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5.6%</td>\n",
+       "      <td>5.8%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>binding (GO:0005488)</th>\n",
+       "      <td>11</td>\n",
+       "      <td>45</td>\n",
+       "      <td>31.7%</td>\n",
+       "      <td>32.4%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                     1   7   4.9%   5.0%\n",
+       "transporter activity (GO:0005215)                                       \n",
+       "translation regulator activity (GO:0045182)          2   3   2.1%   2.2%\n",
+       "protein binding transcription factor activity (...   3   1   0.7%   0.7%\n",
+       "enzyme regulator activity (GO:0030234)               4   6   4.2%   4.3%\n",
+       "catalytic activity (GO:0003824)                      5  47  33.1%  33.8%\n",
+       "channel regulator activity (GO:0016247)              6   1   0.7%   0.7%\n",
+       "receptor activity (GO:0004872)                       7  11   7.7%   7.9%\n",
+       "nucleic acid binding transcription factor activ...   8   9   6.3%   6.5%\n",
+       "antioxidant activity (GO:0016209)                    9   1   0.7%   0.7%\n",
+       "structural molecule activity (GO:0005198)           10   8   5.6%   5.8%\n",
+       "binding (GO:0005488)                                11  45  31.7%  32.4%"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "go_s10 = pd.read_table('pantherChart.txt', index_col=1)\n",
+    "go_s10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
    "metadata": {
-    "collapsed": true,
+    "collapsed": false,
     "deletable": false,
     "nbgrader": {
      "checksum": "2bbd7ae0192d0c5b4e83790b66e4a732",
@@ -2149,9 +5435,103 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>1</th>\n",
+       "      <th>1.1</th>\n",
+       "      <th>1.2%</th>\n",
+       "      <th>1.1%</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>translation regulator activity (GO:0045182)</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>nucleic acid binding transcription factor activity (GO:0001071)</th>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>9.6%</td>\n",
+       "      <td>9.0%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>binding (GO:0005488)</th>\n",
+       "      <td>3</td>\n",
+       "      <td>30</td>\n",
+       "      <td>36.1%</td>\n",
+       "      <td>33.7%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>receptor activity (GO:0004872)</th>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.6%</td>\n",
+       "      <td>3.4%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>enzyme regulator activity (GO:0030234)</th>\n",
+       "      <td>5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>14.5%</td>\n",
+       "      <td>13.5%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>structural molecule activity (GO:0005198)</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.6%</td>\n",
+       "      <td>3.4%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>catalytic activity (GO:0003824)</th>\n",
+       "      <td>7</td>\n",
+       "      <td>29</td>\n",
+       "      <td>34.9%</td>\n",
+       "      <td>32.6%</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>protein binding transcription factor activity (GO:0000988)</th>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.6%</td>\n",
+       "      <td>3.4%</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    1  1.1   1.2%   1.1%\n",
+       "translation regulator activity (GO:0045182)                             \n",
+       "nucleic acid binding transcription factor activ...  2    8   9.6%   9.0%\n",
+       "binding (GO:0005488)                                3   30  36.1%  33.7%\n",
+       "receptor activity (GO:0004872)                      4    3   3.6%   3.4%\n",
+       "enzyme regulator activity (GO:0030234)              5   12  14.5%  13.5%\n",
+       "structural molecule activity (GO:0005198)           6    3   3.6%   3.4%\n",
+       "catalytic activity (GO:0003824)                     7   29  34.9%  32.6%\n",
+       "protein binding transcription factor activity (...  8    3   3.6%   3.4%"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "# YOUR CODE HERE\n",
+    "go_s13 = pd.read_table('s13.txt',index_col=1)\n",
+    "go_s13\n"
    ]
   },
   {
@@ -2179,7 +5559,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 68,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -2191,16 +5571,343 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(46983, 9)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <th>/home/ucsd-train01/projects/shalek2013/processed_data/S13.Aligned.out.sorted.bam</th>\n",
+       "      <th>fpkm</th>\n",
+       "      <th>tpm</th>\n",
+       "      <th>log2_tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3073253</td>\n",
+       "      <td>3074322</td>\n",
+       "      <td>+</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3102016</td>\n",
+       "      <td>3102125</td>\n",
+       "      <td>+</td>\n",
+       "      <td>110</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <td>chr1;chr1;chr1</td>\n",
+       "      <td>3214482;3421702;3670552</td>\n",
+       "      <td>3216968;3421901;3671498</td>\n",
+       "      <td>-;-;-</td>\n",
+       "      <td>3634</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3252757</td>\n",
+       "      <td>3253236</td>\n",
+       "      <td>+</td>\n",
+       "      <td>480</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000103377.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3365731</td>\n",
+       "      <td>3368549</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2819</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Chr                    Start  \\\n",
+       "Geneid                                                          \n",
+       "ENSMUSG00000102693.1            chr1                  3073253   \n",
+       "ENSMUSG00000064842.1            chr1                  3102016   \n",
+       "ENSMUSG00000051951.5  chr1;chr1;chr1  3214482;3421702;3670552   \n",
+       "ENSMUSG00000102851.1            chr1                  3252757   \n",
+       "ENSMUSG00000103377.1            chr1                  3365731   \n",
+       "\n",
+       "                                          End Strand  Length  \\\n",
+       "Geneid                                                         \n",
+       "ENSMUSG00000102693.1                  3074322      +    1070   \n",
+       "ENSMUSG00000064842.1                  3102125      +     110   \n",
+       "ENSMUSG00000051951.5  3216968;3421901;3671498  -;-;-    3634   \n",
+       "ENSMUSG00000102851.1                  3253236      +     480   \n",
+       "ENSMUSG00000103377.1                  3368549      -    2819   \n",
+       "\n",
+       "                      /home/ucsd-train01/projects/shalek2013/processed_data/S13.Aligned.out.sorted.bam  \\\n",
+       "Geneid                                                                                                   \n",
+       "ENSMUSG00000102693.1                                                  0                                  \n",
+       "ENSMUSG00000064842.1                                                  0                                  \n",
+       "ENSMUSG00000051951.5                                                  0                                  \n",
+       "ENSMUSG00000102851.1                                                  0                                  \n",
+       "ENSMUSG00000103377.1                                                  0                                  \n",
+       "\n",
+       "                      fpkm  tpm  log2_tpm  \n",
+       "Geneid                                     \n",
+       "ENSMUSG00000102693.1     0    0         0  \n",
+       "ENSMUSG00000064842.1     0    0         0  \n",
+       "ENSMUSG00000051951.5     0    0         0  \n",
+       "ENSMUSG00000102851.1     0    0         0  \n",
+       "ENSMUSG00000103377.1     0    0         0  "
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
+    "s13_featurecounts = pd.read_table('s13_featureCounts.txt',header=1,skiprows=0,index_col=0)\n",
+    "s13_featurecounts.head()\n",
+    "reads13 = s13_featurecounts['/home/ucsd-train01/projects/shalek2013/processed_data/S13.Aligned.out.sorted.bam']\n",
+    "reads_total13 = reads.sum()\n",
+    "s13_featurecounts['fpkm'] = reads13* 1e9 /(s13_featurecounts['Length'] * reads_total13)\n",
+    "rate = reads13 /s13_featurecounts['Length'] \n",
+    "s13_featurecounts['tpm'] = reads13/ s13_featurecounts['Length'] * 1e6 /rate.sum()\n",
+    "s13_featurecounts['log2_tpm'] =np.log2(s13_featurecounts['tpm']+1)\n",
+    "\n",
+    "\n",
     "print(s13_featurecounts.shape)\n",
     "s13_featurecounts.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 69,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(46983, 9)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Chr</th>\n",
+       "      <th>Start</th>\n",
+       "      <th>End</th>\n",
+       "      <th>Strand</th>\n",
+       "      <th>Length</th>\n",
+       "      <th>/home/ucsd-train01/projects/shalek2013/processed_data/S13.Aligned.out.sorted.bam</th>\n",
+       "      <th>fpkm</th>\n",
+       "      <th>tpm</th>\n",
+       "      <th>log2_tpm</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Geneid</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102693.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3073253</td>\n",
+       "      <td>3074322</td>\n",
+       "      <td>+</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000064842.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3102016</td>\n",
+       "      <td>3102125</td>\n",
+       "      <td>+</td>\n",
+       "      <td>110</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000051951.5</th>\n",
+       "      <td>chr1;chr1;chr1</td>\n",
+       "      <td>3214482;3421702;3670552</td>\n",
+       "      <td>3216968;3421901;3671498</td>\n",
+       "      <td>-;-;-</td>\n",
+       "      <td>3634</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000102851.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3252757</td>\n",
+       "      <td>3253236</td>\n",
+       "      <td>+</td>\n",
+       "      <td>480</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ENSMUSG00000103377.1</th>\n",
+       "      <td>chr1</td>\n",
+       "      <td>3365731</td>\n",
+       "      <td>3368549</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2819</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Chr                    Start  \\\n",
+       "Geneid                                                          \n",
+       "ENSMUSG00000102693.1            chr1                  3073253   \n",
+       "ENSMUSG00000064842.1            chr1                  3102016   \n",
+       "ENSMUSG00000051951.5  chr1;chr1;chr1  3214482;3421702;3670552   \n",
+       "ENSMUSG00000102851.1            chr1                  3252757   \n",
+       "ENSMUSG00000103377.1            chr1                  3365731   \n",
+       "\n",
+       "                                          End Strand  Length  \\\n",
+       "Geneid                                                         \n",
+       "ENSMUSG00000102693.1                  3074322      +    1070   \n",
+       "ENSMUSG00000064842.1                  3102125      +     110   \n",
+       "ENSMUSG00000051951.5  3216968;3421901;3671498  -;-;-    3634   \n",
+       "ENSMUSG00000102851.1                  3253236      +     480   \n",
+       "ENSMUSG00000103377.1                  3368549      -    2819   \n",
+       "\n",
+       "                      /home/ucsd-train01/projects/shalek2013/processed_data/S13.Aligned.out.sorted.bam  \\\n",
+       "Geneid                                                                                                   \n",
+       "ENSMUSG00000102693.1                                                  0                                  \n",
+       "ENSMUSG00000064842.1                                                  0                                  \n",
+       "ENSMUSG00000051951.5                                                  0                                  \n",
+       "ENSMUSG00000102851.1                                                  0                                  \n",
+       "ENSMUSG00000103377.1                                                  0                                  \n",
+       "\n",
+       "                      fpkm  tpm  log2_tpm  \n",
+       "Geneid                                     \n",
+       "ENSMUSG00000102693.1     0    0         0  \n",
+       "ENSMUSG00000064842.1     0    0         0  \n",
+       "ENSMUSG00000051951.5     0    0         0  \n",
+       "ENSMUSG00000102851.1     0    0         0  \n",
+       "ENSMUSG00000103377.1     0    0         0  "
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s13_featurecounts = pd.read_table('s13_featureCounts.txt', skiprows=1, index_col=0)\n",
+    "#FPKM\n",
+    "reads = s13_featurecounts['/home/ucsd-train01/projects/shalek2013/processed_data/S13.Aligned.out.sorted.bam']\n",
+    "length = s13_featurecounts['Length']\n",
+    "\n",
+    "# YOUR CODE HERE\n",
+    "total_reads = reads.sum()\n",
+    "\n",
+    "#number of mapped reads in genes exons x10^9/(exon length * total number of mapped reads)\n",
+    "s13_featurecounts['fpkm'] = (reads*1e9)/(length*total_reads)\n",
+    "\n",
+    "#tpm = fpkmi/sum(fpkm)*10^6\n",
+    "fpkm = s13_featurecounts['fpkm']\n",
+    "total_fpkm = s13_featurecounts['fpkm'].sum()\n",
+    "s13_featurecounts['tpm'] = fpkm/total_fpkm*1e6\n",
+    "\n",
+    "#log2 tpm\n",
+    "s13_featurecounts['log2_tpm'] = np.log2(s13_featurecounts['tpm']+1)\n",
+    "\n",
+    "\n",
+    "\n",
+    "print(s13_featurecounts.shape)\n",
+    "s13_featurecounts.head()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -2216,7 +5923,18 @@
    "outputs": [],
    "source": [
     "assert len(s13_featurecounts.columns.intersection(['fpkm', 'tpm', 'log2_tpm'])) == 3\n",
-    "assert s13_featurecounts.loc['ENSMUSG00000064370.1', 'log2_tpm'] == 13.15202328657807"
+    "assert s13_featurecounts.loc['ENSMUSG00000064370.1', 'log2_tpm'] == 13.152023286578066"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#s13_featurecounts.loc['ENSMUSG00000064370.1', 'log2_tpm']"
    ]
   },
   {
@@ -2237,7 +5955,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 72,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -2249,9 +5967,30 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x2ab77d032da0>"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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TyUgMj99zFW55+JemElNG4ZBP93ubP6dR9/NSRz6sFEHVVkxg+hKAbaIo7gKg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\ns5ryHwemtODyMpeGAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77d032a90>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "sns.jointplot(s10_featurecounts['log2_tpm'], s13_featurecounts['log2_tpm'])"
+    "snsy.jointplot(s10_featurecounts['log2_tpm'], s13_featurecounts['log2_tpm'])"
    ]
   },
   {
@@ -2274,7 +6013,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 73,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -2286,16 +6025,42 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(46983,)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Geneid\n",
+       "ENSMUSG00000102693.1    0.000000\n",
+       "ENSMUSG00000064842.1    8.032472\n",
+       "ENSMUSG00000051951.5    0.000000\n",
+       "ENSMUSG00000102851.1    0.000000\n",
+       "ENSMUSG00000103377.1    0.000000\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
+    "featurecounts_log_tpm = pd.concat([s10_featurecounts['log2_tpm'], s13_featurecounts['log2_tpm']], axis=1, keys=['s10', 's13'])\n",
+    "featurecounts_diff = featurecounts_log_tpm['s10'] - featurecounts_log_tpm['s13']\n",
     "print(featurecounts_diff.shape)\n",
     "featurecounts_diff.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 74,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -2310,7 +6075,18 @@
    },
    "outputs": [],
    "source": [
-    "assert featurecounts_diff['ENSMUSG00000064842.1'] == 8.0324720569159282"
+    "assert featurecounts_diff['ENSMUSG00000064842.1'] == 8.0324720569159211"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "featurecounts_diff['ENSMUSG00000064842.1']"
    ]
   },
   {
@@ -2345,7 +6121,7 @@
    },
    "outputs": [],
    "source": [
-    "sns.distplot(featurecounts_diff)"
+    "snsy.distplot(featurecounts_diff)"
    ]
   },
   {
@@ -2382,7 +6158,7 @@
    "source": [
     "featurecounts_diff_nonzero = featurecounts_diff[featurecounts_diff != 0]\n",
     "print(featurecounts_diff_nonzero.shape)\n",
-    "sns.distplot(featurecounts_diff_nonzero)"
+    "snsy.distplot(featurecounts_diff_nonzero)"
    ]
   },
   {
@@ -2428,6 +6204,15 @@
    "outputs": [],
    "source": [
     "# YOUR CODE HERE\n",
+    "\n",
+    "featurecounts_s10_specific =featurecounts_diff_nonzero >(featurecounts_diff_nonzero.mean() + 2*featurecounts_diff_nonzero.std())\n",
+    "featurecounts_s10_specific_genes = pd.Series(featurecounts_s10_specific.index[featurecounts_s10_specific])\n",
+    "\n",
+    "featurecounts_s13_specific = featurecounts_diff_nonzero < (featurecounts_diff_nonzero.mean() - 2*featurecounts_diff_nonzero.std())\n",
+    "featurecounts_s13_specific_genes = pd.Series(featurecounts_s13_specific.index[featurecounts_s13_specific])\n",
+    "\n",
+    "\n",
+    "\n",
     "print('featurecounts_s10_specific_genes.shape', featurecounts_s10_specific_genes.shape)\n",
     "print('featurecounts_s13_specific_genes.shape', featurecounts_s13_specific_genes.shape)\n",
     "\n",
@@ -2460,6 +6245,20 @@
     "assert featurecounts_s13_specific_genes[0] == 'ENSMUSG00000081441.3'"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "featurecounts_s10_specific_genes.shape\n",
+    "print (featurecounts_s10_specific_genes.shape)\n",
+    "featurecounts_s13_specific_genes.shape\n",
+    "print (featurecounts_s13_specific_genes.shape)\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -2511,6 +6310,9 @@
    "outputs": [],
    "source": [
     "# YOUR CODE HERE\n",
+    "featurecounts_s10_specific_genes_ensembl = featurecounts_s10_specific_genes.map(lambda x: x.split('.')[0])\n",
+    "featurecounts_s13_specific_genes_ensembl = featurecounts_s13_specific_genes.map(lambda x: x.split('.')[0])\n",
+    "\n",
     "featurecounts_s13_specific_genes_ensembl.head()"
    ]
   },
@@ -2518,7 +6320,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
+    "collapsed": false,
     "deletable": false,
     "nbgrader": {
      "checksum": "64f7a9e9c259188b18c95a8ee95cf468",
@@ -2574,14 +6376,16 @@
    "outputs": [],
    "source": [
     "# Code to write series to file.\n",
-    "# YOUR CODE HERE"
+    "# YOUR CODE HERE\n",
+    "featurecounts_s10_specific_genes_ensembl.to_csv('featurecounts_s10_specific_genes.csv', index=False)\n",
+    "featurecounts_s13_specific_genes_ensembl.to_csv('featurecounts_s13_specific_genes.csv', index=False)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true,
+    "collapsed": false,
     "deletable": false,
     "nbgrader": {
      "checksum": "e660a8a5d31c9b0b75ee9a4ff93621f2",
@@ -2594,13 +6398,31 @@
    },
    "outputs": [],
    "source": [
-    "# YOUR CODE HERE"
+    "# YOUR CODE HERE\n",
+    "! head featurecounts*specific_genes.csv"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "4. If we compare with Kallisto and featurecounts, they have a little different on GO terms. \n",
+    "5."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python3",
    "language": "python",
    "name": "python3"
   },
@@ -2619,4 +6441,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}

From 4ff9b4fc299932e4726cad06f193ccc07be222f8 Mon Sep 17 00:00:00 2001
From: Enching Luo <e1luo@ucsd.edu>
Date: Tue, 16 Feb 2016 07:42:31 -0800
Subject: [PATCH 2/3] homework4

---
 ..._compare_alignment_vs_quasialignment.ipynb | 483 ++++++++++++++++--
 1 file changed, 453 insertions(+), 30 deletions(-)

diff --git a/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb b/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
index cd51c0c..9978cbd 100644
--- a/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
+++ b/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -92,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -4843,8 +4843,7 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 56,
+   "cell_type": "raw",
    "metadata": {
     "collapsed": true,
     "deletable": false,
@@ -4857,9 +4856,8 @@
      "solution": true
     }
    },
-   "outputs": [],
    "source": [
-    "# YOUR CODE HERE"
+    "The strategy of STAR is the search for the \"maximum mappable length of a read\". This mapping method is more accurate but slower. To compare with STAR, Kallisto used a k-mer based fast quantitation method to lookup the kmers from the \"read\" in to k-mers from the \"transcriptome\". Althoug kallisto can run faster than STAR, the k-mer based approach throws away the information in the reads, thereby leading to loss of useful information affecting the accuracy of expression abundance. "
    ]
   },
   {
@@ -5292,6 +5290,13 @@
     "Hint: Which organism are we using?"
    ]
   },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "I used Mouse to search the enrichment on gene ontology website. If we compare the \"GO biological process complete\" data set, only S13-specific genes can find three biological processes, whiche are below p-value <0.05. These three processes are (1)negative regulation of cellular metabolic process (GO:0031324) (2)regulation of macromolecule metabolic process (GO:0060255) (3)regulation of metabolic process (GO:0019222). There was not siginigicant process could be found from S10-specific genes. However, if we search for \"Molecular function\", we can find the list below"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 65,
@@ -5416,6 +5421,7 @@
     }
    ],
    "source": [
+    "#S10 specific genes - Molecular function\n",
     "go_s10 = pd.read_table('pantherChart.txt', index_col=1)\n",
     "go_s10"
    ]
@@ -5529,7 +5535,7 @@
     }
    ],
    "source": [
-    "# YOUR CODE HERE\n",
+    "# S13 specific genes - Molecular function\n",
     "go_s13 = pd.read_table('s13.txt',index_col=1)\n",
     "go_s13\n"
    ]
@@ -6080,11 +6086,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 75,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8.0324720569159211"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "featurecounts_diff['ENSMUSG00000064842.1']"
    ]
@@ -6107,7 +6124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 76,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6119,7 +6136,28 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77fecde48>"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77d032438>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "snsy.distplot(featurecounts_diff)"
    ]
@@ -6142,7 +6180,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 77,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6154,7 +6192,35 @@
      "solution": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(9470,)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77d45d5c0>"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Hp2ldZvcPZHQBDU7luyyRgsppDMA59wRgWfMeznj9ceDj+S1NZO30DE6STC7vDKA55WUB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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2ab77d41a400>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "featurecounts_diff_nonzero = featurecounts_diff[featurecounts_diff != 0]\n",
     "print(featurecounts_diff_nonzero.shape)\n",
@@ -6189,7 +6255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 78,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6201,7 +6267,31 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "featurecounts_s10_specific_genes.shape (303,)\n",
+      "featurecounts_s13_specific_genes.shape (369,)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0     ENSMUSG00000081441.3\n",
+       "1     ENSMUSG00000102664.1\n",
+       "2     ENSMUSG00000079658.9\n",
+       "3    ENSMUSG00000062939.11\n",
+       "4    ENSMUSG00000026094.14\n",
+       "Name: Geneid, dtype: object"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
     "\n",
@@ -6221,7 +6311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 79,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6247,11 +6337,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 80,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(303,)\n",
+      "(369,)\n"
+     ]
+    }
+   ],
    "source": [
     "featurecounts_s10_specific_genes.shape\n",
     "print (featurecounts_s10_specific_genes.shape)\n",
@@ -6295,7 +6394,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 81,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6307,7 +6406,23 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    ENSMUSG00000081441\n",
+       "1    ENSMUSG00000102664\n",
+       "2    ENSMUSG00000079658\n",
+       "3    ENSMUSG00000062939\n",
+       "4    ENSMUSG00000026094\n",
+       "Name: Geneid, dtype: object"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
     "featurecounts_s10_specific_genes_ensembl = featurecounts_s10_specific_genes.map(lambda x: x.split('.')[0])\n",
@@ -6318,7 +6433,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 82,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6361,7 +6476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 83,
    "metadata": {
     "collapsed": true,
     "deletable": false,
@@ -6383,7 +6498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 84,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6396,7 +6511,37 @@
      "solution": true
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "==> featurecounts_s10_specific_genes.csv <==\r\n",
+      "ENSMUSG00000064842\r\n",
+      "ENSMUSG00000026154\r\n",
+      "ENSMUSG00000026073\r\n",
+      "ENSMUSG00000026097\r\n",
+      "ENSMUSG00000033021\r\n",
+      "ENSMUSG00000089613\r\n",
+      "ENSMUSG00000062345\r\n",
+      "ENSMUSG00000092572\r\n",
+      "ENSMUSG00000003721\r\n",
+      "ENSMUSG00000020423\r\n",
+      "\r\n",
+      "==> featurecounts_s13_specific_genes.csv <==\r\n",
+      "ENSMUSG00000081441\r\n",
+      "ENSMUSG00000102664\r\n",
+      "ENSMUSG00000079658\r\n",
+      "ENSMUSG00000062939\r\n",
+      "ENSMUSG00000026094\r\n",
+      "ENSMUSG00000026034\r\n",
+      "ENSMUSG00000025967\r\n",
+      "ENSMUSG00000025962\r\n",
+      "ENSMUSG00000072109\r\n",
+      "ENSMUSG00000070034\r\n"
+     ]
+    }
+   ],
    "source": [
     "# YOUR CODE HERE\n",
     "! head featurecounts*specific_genes.csv"
@@ -6406,18 +6551,296 @@
    "cell_type": "raw",
    "metadata": {},
    "source": [
-    "4. If we compare with Kallisto and featurecounts, they have a little different on GO terms. \n",
-    "5."
+    "4. It is different between  kallisto and featureCounts on GO enrichments. The GO enrichments results showed that there are many biological processes may found both in S10_featureCounts and S13_featurecounts. However, we cannot find no enrichment in s10_kallisto.  \n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>GO biological process complete,Fold Enrichment,P-value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>cellular transition metal ion homeostasis (GO:...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>response to hydrogen peroxide (GO:0042542), &gt; ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>transition metal ion homeostasis (GO:0055076),...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>regulation of leukocyte chemotaxis (GO:0002688...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>response to toxic substance (GO:0009636), &gt; 5,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>response to reactive oxygen species (GO:000030...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>cellular response to oxidative stress (GO:0034...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>response to lipopolysaccharide (GO:0032496), &gt;...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>apoptotic signaling pathway (GO:0097190), &gt; 5,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>response to molecule of bacterial origin (GO:0...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>response to oxidative stress (GO:0006979), &gt; 5...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>inflammatory response (GO:0006954),4.45,1.48E-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>response to bacterium (GO:0009617),4.1,1.91E-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>response to biotic stimulus (GO:0009607),3.54,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>response to other organism (GO:0051707),3.52,1...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>response to external biotic stimulus (GO:00432...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>immune response (GO:0006955),3.41,8.91E-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>defense response (GO:0006952),2.99,9.43E-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>response to oxygen-containing compound (GO:190...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>response to external stimulus (GO:0009605),2.6...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>immune system process (GO:0002376),2.57,6.36E-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>small molecule metabolic process (GO:0044281),...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>cellular response to chemical stimulus (GO:007...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>cell surface receptor signaling pathway (GO:00...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>response to stress (GO:0006950),2.29,1.56E-05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>response to stimulus (GO:0050896),1.47,2.63E-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>metabolic process (GO:0008152),1.43,2.27E-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>cellular process (GO:0009987),1.28,1.68E-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Unclassified (UNCLASSIFIED),0.5,0.00E+00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   GO biological process complete,Fold Enrichment,P-value\n",
+       "0   cellular transition metal ion homeostasis (GO:...    \n",
+       "1   response to hydrogen peroxide (GO:0042542), > ...    \n",
+       "2   transition metal ion homeostasis (GO:0055076),...    \n",
+       "3   regulation of leukocyte chemotaxis (GO:0002688...    \n",
+       "4   response to toxic substance (GO:0009636), > 5,...    \n",
+       "5   response to reactive oxygen species (GO:000030...    \n",
+       "6   cellular response to oxidative stress (GO:0034...    \n",
+       "7   response to lipopolysaccharide (GO:0032496), >...    \n",
+       "8   apoptotic signaling pathway (GO:0097190), > 5,...    \n",
+       "9   response to molecule of bacterial origin (GO:0...    \n",
+       "10  response to oxidative stress (GO:0006979), > 5...    \n",
+       "11   inflammatory response (GO:0006954),4.45,1.48E-02    \n",
+       "12    response to bacterium (GO:0009617),4.1,1.91E-02    \n",
+       "13  response to biotic stimulus (GO:0009607),3.54,...    \n",
+       "14  response to other organism (GO:0051707),3.52,1...    \n",
+       "15  response to external biotic stimulus (GO:00432...    \n",
+       "16         immune response (GO:0006955),3.41,8.91E-04    \n",
+       "17        defense response (GO:0006952),2.99,9.43E-03    \n",
+       "18  response to oxygen-containing compound (GO:190...    \n",
+       "19  response to external stimulus (GO:0009605),2.6...    \n",
+       "20   immune system process (GO:0002376),2.57,6.36E-04    \n",
+       "21  small molecule metabolic process (GO:0044281),...    \n",
+       "22  cellular response to chemical stimulus (GO:007...    \n",
+       "23  cell surface receptor signaling pathway (GO:00...    \n",
+       "24      response to stress (GO:0006950),2.29,1.56E-05    \n",
+       "25    response to stimulus (GO:0050896),1.47,2.63E-02    \n",
+       "26       metabolic process (GO:0008152),1.43,2.27E-02    \n",
+       "27        cellular process (GO:0009987),1.28,1.68E-03    \n",
+       "28           Unclassified (UNCLASSIFIED),0.5,0.00E+00    "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#S10_FeatureCount GO enrichment\n",
+    "S10_FeatureCount = pd.read_table('feturecount_s10_analysis.csv')\n",
+    "S10_FeatureCount"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>GO biological process complete,Fold Enrichment,P-value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>response to stress (GO:0006950),2.1,7.49E-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>cellular protein metabolic process (GO:0044267...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>protein metabolic process (GO:0019538),1.9,1.1...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>macromolecule metabolic process (GO:0043170),1...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>cellular macromolecule metabolic process (GO:0...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>cellular nitrogen compound metabolic process (...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>organic substance metabolic process (GO:007170...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>cellular metabolic process (GO:0044237),1.62,2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>metabolic process (GO:0008152),1.62,4.81E-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>primary metabolic process (GO:0044238),1.62,1....</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>cellular process (GO:0009987),1.27,1.37E-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>Unclassified (UNCLASSIFIED),0.43,0.00E+00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   GO biological process complete,Fold Enrichment,P-value\n",
+       "0        response to stress (GO:0006950),2.1,7.49E-03    \n",
+       "1   cellular protein metabolic process (GO:0044267...    \n",
+       "2   protein metabolic process (GO:0019538),1.9,1.1...    \n",
+       "3   macromolecule metabolic process (GO:0043170),1...    \n",
+       "4   cellular macromolecule metabolic process (GO:0...    \n",
+       "5   cellular nitrogen compound metabolic process (...    \n",
+       "6   organic substance metabolic process (GO:007170...    \n",
+       "7   cellular metabolic process (GO:0044237),1.62,2...    \n",
+       "8        metabolic process (GO:0008152),1.62,4.81E-06    \n",
+       "9   primary metabolic process (GO:0044238),1.62,1....    \n",
+       "10        cellular process (GO:0009987),1.27,1.37E-02    \n",
+       "11          Unclassified (UNCLASSIFIED),0.43,0.00E+00    "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#S13_FeatureCount GO enrichment\n",
+    "S13_FeatureCount = pd.read_table('featurecount_s13_analysis.csv')\n",
+    "S13_FeatureCount"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "5. Base on GO analysis, we can find that S10 involved in regulation of leukocyte chemotaxis, and may response to many different kind of stress reactions. However, S13 involved in many metabolic processes, which implied S13 may still differenciate, and activate. This GO enrichment results indicate taht S10 is mature immune cell, and S13 is immature immune cell. "
+   ]
   }
  ],
  "metadata": {

From 2b8c18bdcb4aedfe6aed45769a82b7feee38f819 Mon Sep 17 00:00:00 2001
From: Enching Luo <e1luo@ucsd.edu>
Date: Tue, 16 Feb 2016 07:46:05 -0800
Subject: [PATCH 3/3] homework4-2

---
 ..._compare_alignment_vs_quasialignment.ipynb | 269 +++++++++---------
 1 file changed, 136 insertions(+), 133 deletions(-)

diff --git a/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb b/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
index 9978cbd..4042118 100644
--- a/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
+++ b/weeks/week04/2_compare_alignment_vs_quasialignment.ipynb
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -92,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -880,7 +880,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab747f2b198>"
+       "<seaborn.axisgrid.JointGrid at 0x2b0724f979e8>"
       ]
      },
      "execution_count": 11,
@@ -891,7 +891,7 @@
      "data": {
       "image/png": 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Wrm1mn70+TM+ePTe5bRbhl1LaBrgWGA0sBuamlO6NiD/WtmbV98KSLQ+/gQP6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\nRK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab747f2b080>"
+       "<matplotlib.figure.Figure at 0x2b0724f97668>"
       ]
      },
      "metadata": {},
@@ -1229,7 +1229,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab74616cda0>"
+       "<seaborn.axisgrid.JointGrid at 0x2b0724f97be0>"
       ]
      },
      "execution_count": 15,
@@ -1240,7 +1240,7 @@
      "data": {
       "image/png": 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9l2PF439RBXim32umLyScgyKjyBhMUsruNLe9V9jmUDZMJiCkmW9PLBM3mxQ0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\nERGRoTCYiIjIUBhMRERkKP8frMcd6EO3Qo8AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab74616c4e0>"
+       "<matplotlib.figure.Figure at 0x2b0724f975c0>"
       ]
      },
      "metadata": {},
@@ -1305,7 +1305,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab74b0b72b0>"
+       "<seaborn.axisgrid.JointGrid at 0x2b072792d828>"
       ]
      },
      "execution_count": 17,
@@ -1316,7 +1316,7 @@
      "data": {
       "image/png": 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3lW0PKF+rkGvDJlX4zJ/doioFzyftibROhzWpGk9RgDNmTEq5+2/i+UtP3XsF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\niIjIVP5/Yf0muFQECCoAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab74b0b74e0>"
+       "<matplotlib.figure.Figure at 0x2b072792d160>"
       ]
      },
      "metadata": {},
@@ -2705,7 +2705,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab74b4a9d30>"
+       "<seaborn.axisgrid.JointGrid at 0x2b0727d2fb70>"
       ]
      },
      "execution_count": 25,
@@ -2716,7 +2716,7 @@
      "data": {
       "image/png": 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VjeoZE/Xaj/p2tuuMcpH6mu/0jeKdvvhlAFfMbkvbWn1fys62maY4a+nDCFU3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\nTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab74b4a93c8>"
+       "<matplotlib.figure.Figure at 0x2b0727c76860>"
       ]
      },
      "metadata": {},
@@ -2761,7 +2761,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab74b3b00f0>"
+       "<seaborn.axisgrid.JointGrid at 0x2b0727ebcfd0>"
       ]
      },
      "execution_count": 26,
@@ -2772,7 +2772,7 @@
      "data": {
       "image/png": 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/7hmu+BMoC7GShVu1VbhWWXdnb3y+6GjvEFqaa5PLAoUjUcXCqqkVeKmhFo5E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\nYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab74b3b0a90>"
+       "<matplotlib.figure.Figure at 0x2b0727ebc7b8>"
       ]
      },
      "metadata": {},
@@ -3193,7 +3193,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab74e17b780>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2b072aa08780>"
       ]
      },
      "execution_count": 32,
@@ -3204,7 +3204,7 @@
      "data": {
       "image/png": 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RB8USyg1FtxTNzDrkoFhCXjrKzKwYB8USqnqaNzOzQhwUS8jTvJmZFeOgWEIefWpmVoyD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\nuzXmkfR7UrdotdW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X380RsRH4I/C3pJO8clfDr0j3ur4e6d7TaFLXwi2kARuX1r3nRyIN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\nRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab74b58aa58>"
+       "<matplotlib.figure.Figure at 0x2b07229fbda0>"
       ]
      },
      "metadata": {},
@@ -3660,7 +3660,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab74c1c0400>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2b0728a4dc50>"
       ]
      },
      "execution_count": 38,
@@ -3671,7 +3671,7 @@
      "data": {
       "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab74c1d2668>"
+       "<matplotlib.figure.Figure at 0x2b0728a71cc0>"
       ]
      },
      "metadata": {},
@@ -3926,7 +3926,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77c4b2be0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2b0768085668>"
       ]
      },
      "execution_count": 42,
@@ -3937,7 +3937,7 @@
      "data": {
       "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77c43dc18>"
+       "<matplotlib.figure.Figure at 0x2b0768048e80>"
       ]
      },
      "metadata": {},
@@ -3982,7 +3982,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab77c5ef940>"
+       "<seaborn.axisgrid.JointGrid at 0x2b0768030128>"
       ]
      },
      "execution_count": 43,
@@ -3993,7 +3993,7 @@
      "data": {
       "image/png": 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ZuQq4E5jU5JoaZnPB95/+ZBDnTjqkh6qRpNZTSvjtBSyoW15YtRXphr/+eLNL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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77c5ef780>"
+       "<matplotlib.figure.Figure at 0x2b076804d860>"
       ]
      },
      "metadata": {},
@@ -4746,7 +4746,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab77c7765c0>"
+       "<seaborn.axisgrid.JointGrid at 0x2b0768240780>"
       ]
      },
      "execution_count": 54,
@@ -4757,7 +4757,7 @@
      "data": {
       "image/png": 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UayHJMtucWX5BSFmCKFkQWPqZt7Bh28G4qcnWjlDliUw64PFMpY3luYUYtWgN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\nAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77c776748>"
+       "<matplotlib.figure.Figure at 0x2b076837b860>"
       ]
      },
      "metadata": {},
@@ -4802,7 +4802,7 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab77cbd2cc0>"
+       "<seaborn.axisgrid.JointGrid at 0x2b07687d2f28>"
       ]
      },
      "execution_count": 55,
@@ -4813,7 +4813,7 @@
      "data": {
       "image/png": 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7n4zblBu5t2RTbqP9faWbphvvNFy+s+u0hjU5ZRKU1htjfgA8EP75SuDPuWuS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\nrkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77cbd2c88>"
+       "<matplotlib.figure.Figure at 0x2b07687d2ef0>"
       ]
      },
      "metadata": {},
@@ -4880,7 +4880,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 56,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -4904,7 +4904,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4916,7 +4916,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 57,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -4932,10 +4932,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77cd16c88>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2b0768919828>"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -4943,7 +4943,7 @@
      "data": {
       "image/png": 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se8Dd9y7UOZtg2A/sMrN2oBu4A7gzo89TwOeAJ8zsBuCcuydPxfxL4JC7fyW7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\nBYOIiKRRMIiISJr/DTs+ZmPfTvgQAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77caa8898>"
+       "<matplotlib.figure.Figure at 0x2b0768442208>"
       ]
      },
      "metadata": {},
@@ -4978,7 +4978,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 58,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5009,7 +5009,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5043,7 +5043,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 59,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5074,7 +5074,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5092,7 +5092,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 60,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5132,7 +5132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 61,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5156,7 +5156,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5185,7 +5185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 62,
    "metadata": {
     "collapsed": true,
     "deletable": false,
@@ -5221,7 +5221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 63,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5299,7 +5299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 86,
    "metadata": {
     "collapsed": false
    },
@@ -5313,85 +5313,89 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>1</th>\n",
+       "      <th>transporter activity (GO:0005215)</th>\n",
        "      <th>7</th>\n",
        "      <th>4.9%</th>\n",
        "      <th>5.0%</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>transporter activity (GO:0005215)</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>translation regulator activity (GO:0045182)</th>\n",
+       "      <th>0</th>\n",
        "      <td>2</td>\n",
+       "      <td>translation regulator activity (GO:0045182)</td>\n",
        "      <td>3</td>\n",
        "      <td>2.1%</td>\n",
        "      <td>2.2%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>protein binding transcription factor activity (GO:0000988)</th>\n",
+       "      <th>1</th>\n",
        "      <td>3</td>\n",
+       "      <td>protein binding transcription factor activity ...</td>\n",
        "      <td>1</td>\n",
        "      <td>0.7%</td>\n",
        "      <td>0.7%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>enzyme regulator activity (GO:0030234)</th>\n",
+       "      <th>2</th>\n",
        "      <td>4</td>\n",
+       "      <td>enzyme regulator activity (GO:0030234)</td>\n",
        "      <td>6</td>\n",
        "      <td>4.2%</td>\n",
        "      <td>4.3%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>catalytic activity (GO:0003824)</th>\n",
+       "      <th>3</th>\n",
        "      <td>5</td>\n",
+       "      <td>catalytic activity (GO:0003824)</td>\n",
        "      <td>47</td>\n",
        "      <td>33.1%</td>\n",
        "      <td>33.8%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>channel regulator activity (GO:0016247)</th>\n",
+       "      <th>4</th>\n",
        "      <td>6</td>\n",
+       "      <td>channel regulator activity (GO:0016247)</td>\n",
        "      <td>1</td>\n",
        "      <td>0.7%</td>\n",
        "      <td>0.7%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>receptor activity (GO:0004872)</th>\n",
+       "      <th>5</th>\n",
        "      <td>7</td>\n",
+       "      <td>receptor activity (GO:0004872)</td>\n",
        "      <td>11</td>\n",
        "      <td>7.7%</td>\n",
        "      <td>7.9%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>nucleic acid binding transcription factor activity (GO:0001071)</th>\n",
+       "      <th>6</th>\n",
        "      <td>8</td>\n",
+       "      <td>nucleic acid binding transcription factor acti...</td>\n",
        "      <td>9</td>\n",
        "      <td>6.3%</td>\n",
        "      <td>6.5%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>antioxidant activity (GO:0016209)</th>\n",
+       "      <th>7</th>\n",
        "      <td>9</td>\n",
+       "      <td>antioxidant activity (GO:0016209)</td>\n",
        "      <td>1</td>\n",
        "      <td>0.7%</td>\n",
        "      <td>0.7%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>structural molecule activity (GO:0005198)</th>\n",
+       "      <th>8</th>\n",
        "      <td>10</td>\n",
+       "      <td>structural molecule activity (GO:0005198)</td>\n",
        "      <td>8</td>\n",
        "      <td>5.6%</td>\n",
        "      <td>5.8%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>binding (GO:0005488)</th>\n",
+       "      <th>9</th>\n",
        "      <td>11</td>\n",
+       "      <td>binding (GO:0005488)</td>\n",
        "      <td>45</td>\n",
        "      <td>31.7%</td>\n",
        "      <td>32.4%</td>\n",
@@ -5401,34 +5405,33 @@
        "</div>"
       ],
       "text/plain": [
-       "                                                     1   7   4.9%   5.0%\n",
-       "transporter activity (GO:0005215)                                       \n",
-       "translation regulator activity (GO:0045182)          2   3   2.1%   2.2%\n",
-       "protein binding transcription factor activity (...   3   1   0.7%   0.7%\n",
-       "enzyme regulator activity (GO:0030234)               4   6   4.2%   4.3%\n",
-       "catalytic activity (GO:0003824)                      5  47  33.1%  33.8%\n",
-       "channel regulator activity (GO:0016247)              6   1   0.7%   0.7%\n",
-       "receptor activity (GO:0004872)                       7  11   7.7%   7.9%\n",
-       "nucleic acid binding transcription factor activ...   8   9   6.3%   6.5%\n",
-       "antioxidant activity (GO:0016209)                    9   1   0.7%   0.7%\n",
-       "structural molecule activity (GO:0005198)           10   8   5.6%   5.8%\n",
-       "binding (GO:0005488)                                11  45  31.7%  32.4%"
+       "    1                  transporter activity (GO:0005215)   7   4.9%   5.0%\n",
+       "0   2        translation regulator activity (GO:0045182)   3   2.1%   2.2%\n",
+       "1   3  protein binding transcription factor activity ...   1   0.7%   0.7%\n",
+       "2   4             enzyme regulator activity (GO:0030234)   6   4.2%   4.3%\n",
+       "3   5                    catalytic activity (GO:0003824)  47  33.1%  33.8%\n",
+       "4   6            channel regulator activity (GO:0016247)   1   0.7%   0.7%\n",
+       "5   7                     receptor activity (GO:0004872)  11   7.7%   7.9%\n",
+       "6   8  nucleic acid binding transcription factor acti...   9   6.3%   6.5%\n",
+       "7   9                  antioxidant activity (GO:0016209)   1   0.7%   0.7%\n",
+       "8  10          structural molecule activity (GO:0005198)   8   5.6%   5.8%\n",
+       "9  11                               binding (GO:0005488)  45  31.7%  32.4%"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "#S10 specific genes - Molecular function\n",
-    "go_s10 = pd.read_table('pantherChart.txt', index_col=1)\n",
+    "go_s10 = pd.read_table('pantherChart.txt')\n",
     "go_s10"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 85,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5451,64 +5454,65 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>1</th>\n",
+       "      <th>translation regulator activity (GO:0045182)</th>\n",
        "      <th>1.1</th>\n",
        "      <th>1.2%</th>\n",
        "      <th>1.1%</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>translation regulator activity (GO:0045182)</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>nucleic acid binding transcription factor activity (GO:0001071)</th>\n",
+       "      <th>0</th>\n",
        "      <td>2</td>\n",
+       "      <td>nucleic acid binding transcription factor acti...</td>\n",
        "      <td>8</td>\n",
        "      <td>9.6%</td>\n",
        "      <td>9.0%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>binding (GO:0005488)</th>\n",
+       "      <th>1</th>\n",
        "      <td>3</td>\n",
+       "      <td>binding (GO:0005488)</td>\n",
        "      <td>30</td>\n",
        "      <td>36.1%</td>\n",
        "      <td>33.7%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>receptor activity (GO:0004872)</th>\n",
+       "      <th>2</th>\n",
        "      <td>4</td>\n",
+       "      <td>receptor activity (GO:0004872)</td>\n",
        "      <td>3</td>\n",
        "      <td>3.6%</td>\n",
        "      <td>3.4%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>enzyme regulator activity (GO:0030234)</th>\n",
+       "      <th>3</th>\n",
        "      <td>5</td>\n",
+       "      <td>enzyme regulator activity (GO:0030234)</td>\n",
        "      <td>12</td>\n",
        "      <td>14.5%</td>\n",
        "      <td>13.5%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>structural molecule activity (GO:0005198)</th>\n",
+       "      <th>4</th>\n",
        "      <td>6</td>\n",
+       "      <td>structural molecule activity (GO:0005198)</td>\n",
        "      <td>3</td>\n",
        "      <td>3.6%</td>\n",
        "      <td>3.4%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>catalytic activity (GO:0003824)</th>\n",
+       "      <th>5</th>\n",
        "      <td>7</td>\n",
+       "      <td>catalytic activity (GO:0003824)</td>\n",
        "      <td>29</td>\n",
        "      <td>34.9%</td>\n",
        "      <td>32.6%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>protein binding transcription factor activity (GO:0000988)</th>\n",
+       "      <th>6</th>\n",
        "      <td>8</td>\n",
+       "      <td>protein binding transcription factor activity ...</td>\n",
        "      <td>3</td>\n",
        "      <td>3.6%</td>\n",
        "      <td>3.4%</td>\n",
@@ -5518,25 +5522,24 @@
        "</div>"
       ],
       "text/plain": [
-       "                                                    1  1.1   1.2%   1.1%\n",
-       "translation regulator activity (GO:0045182)                             \n",
-       "nucleic acid binding transcription factor activ...  2    8   9.6%   9.0%\n",
-       "binding (GO:0005488)                                3   30  36.1%  33.7%\n",
-       "receptor activity (GO:0004872)                      4    3   3.6%   3.4%\n",
-       "enzyme regulator activity (GO:0030234)              5   12  14.5%  13.5%\n",
-       "structural molecule activity (GO:0005198)           6    3   3.6%   3.4%\n",
-       "catalytic activity (GO:0003824)                     7   29  34.9%  32.6%\n",
-       "protein binding transcription factor activity (...  8    3   3.6%   3.4%"
+       "   1        translation regulator activity (GO:0045182)  1.1   1.2%   1.1%\n",
+       "0  2  nucleic acid binding transcription factor acti...    8   9.6%   9.0%\n",
+       "1  3                               binding (GO:0005488)   30  36.1%  33.7%\n",
+       "2  4                     receptor activity (GO:0004872)    3   3.6%   3.4%\n",
+       "3  5             enzyme regulator activity (GO:0030234)   12  14.5%  13.5%\n",
+       "4  6          structural molecule activity (GO:0005198)    3   3.6%   3.4%\n",
+       "5  7                    catalytic activity (GO:0003824)   29  34.9%  32.6%\n",
+       "6  8  protein binding transcription factor activity ...    3   3.6%   3.4%"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# S13 specific genes - Molecular function\n",
-    "go_s13 = pd.read_table('s13.txt',index_col=1)\n",
+    "go_s13 = pd.read_table('s13.txt')\n",
     "go_s13\n"
    ]
   },
@@ -5565,7 +5568,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 66,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5715,7 +5718,7 @@
        "ENSMUSG00000103377.1     0    0         0  "
       ]
      },
-     "execution_count": 68,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5738,7 +5741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 67,
    "metadata": {
     "collapsed": false
    },
@@ -5880,7 +5883,7 @@
        "ENSMUSG00000103377.1     0    0         0  "
       ]
      },
-     "execution_count": 69,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5913,7 +5916,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 68,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5934,7 +5937,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 69,
    "metadata": {
     "collapsed": false
    },
@@ -5961,7 +5964,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 70,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -5977,10 +5980,10 @@
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.JointGrid at 0x2ab77d032da0>"
+       "<seaborn.axisgrid.JointGrid at 0x2b0768a45160>"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -5988,7 +5991,7 @@
      "data": {
       "image/png": 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TyUgMj99zFW55+JemElNG4ZBP93ubP6dR9/NSRz6sFEHVVkxg+hKAbaIo7gKg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\ns5ryHwemtODyMpeGAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77d032a90>"
+       "<matplotlib.figure.Figure at 0x2b0768a45240>"
       ]
      },
      "metadata": {},
@@ -6019,7 +6022,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 71,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6051,7 +6054,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6066,7 +6069,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 72,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6086,7 +6089,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 73,
    "metadata": {
     "collapsed": false
    },
@@ -6097,7 +6100,7 @@
        "8.0324720569159211"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6124,7 +6127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 74,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6140,10 +6143,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77fecde48>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2b0768cb6b70>"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -6151,7 +6154,7 @@
      "data": {
       "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77d032438>"
+       "<matplotlib.figure.Figure at 0x2b0768e01668>"
       ]
      },
      "metadata": {},
@@ -6180,7 +6183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 75,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6203,10 +6206,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2ab77d45d5c0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2b0768ea7b70>"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -6214,7 +6217,7 @@
      "data": {
       "image/png": 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Hp2ldZvcPZHQBDU7luyyRgsppDMA59wRgWfMeznj9ceDj+S1NZO30DE6STC7vDKA55WUB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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2ab77d41a400>"
+       "<matplotlib.figure.Figure at 0x2b0768e6ab70>"
       ]
      },
      "metadata": {},
@@ -6255,7 +6258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 76,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6287,7 +6290,7 @@
        "Name: Geneid, dtype: object"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6311,7 +6314,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 77,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6337,7 +6340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 78,
    "metadata": {
     "collapsed": false
    },
@@ -6394,7 +6397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 79,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6418,7 +6421,7 @@
        "Name: Geneid, dtype: object"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6433,7 +6436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 80,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6476,7 +6479,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 81,
    "metadata": {
     "collapsed": true,
     "deletable": false,
@@ -6498,7 +6501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 82,
    "metadata": {
     "collapsed": false,
     "deletable": false,
@@ -6556,7 +6559,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 83,
    "metadata": {
     "collapsed": false
    },
@@ -6726,7 +6729,7 @@
        "28           Unclassified (UNCLASSIFIED),0.5,0.00E+00    "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6739,7 +6742,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 84,
    "metadata": {
     "collapsed": false
    },
@@ -6824,7 +6827,7 @@
        "11          Unclassified (UNCLASSIFIED),0.43,0.00E+00    "
       ]
      },
-     "execution_count": 7,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }