diff --git a/notebooks/CHIP_april08_2021_Croker/MTblacklist/NOT STARTED - cellrTrue mgatk Variants -  Combine Samples.ipynb b/notebooks/CHIP_april08_2021_Croker/MTblacklist/NOT STARTED - cellrTrue mgatk Variants -  Combine Samples.ipynb
index 8bfed7fe..55d1b543 100644
--- a/notebooks/CHIP_april08_2021_Croker/MTblacklist/NOT STARTED - cellrTrue mgatk Variants -  Combine Samples.ipynb	
+++ b/notebooks/CHIP_april08_2021_Croker/MTblacklist/NOT STARTED - cellrTrue mgatk Variants -  Combine Samples.ipynb	
@@ -5,10 +5,10 @@
    "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-21T23:00:36.433427Z",
-     "start_time": "2021-05-21T23:00:36.422421Z"
+     "end_time": "2021-05-25T20:41:12.405114Z",
+     "start_time": "2021-05-25T20:41:12.393445Z"
     },
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [
     {
@@ -31,8 +31,8 @@
    "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-21T23:00:37.220244Z",
-     "start_time": "2021-05-21T23:00:36.435346Z"
+     "end_time": "2021-05-25T20:41:12.778014Z",
+     "start_time": "2021-05-25T20:41:12.415512Z"
     },
     "scrolled": true
    },
@@ -48,8 +48,8 @@
    "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-21T23:00:37.724916Z",
-     "start_time": "2021-05-21T23:00:37.222706Z"
+     "end_time": "2021-05-25T20:41:13.012131Z",
+     "start_time": "2021-05-25T20:41:12.780127Z"
     },
     "scrolled": true
    },
@@ -81,8 +81,8 @@
    "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-21T23:00:39.435344Z",
-     "start_time": "2021-05-21T23:00:37.727398Z"
+     "end_time": "2021-05-25T20:41:13.651737Z",
+     "start_time": "2021-05-25T20:41:13.014690Z"
     }
    },
    "outputs": [],
@@ -100,8 +100,8 @@
    "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-21T23:00:39.455551Z",
-     "start_time": "2021-05-21T23:00:39.437289Z"
+     "end_time": "2021-05-25T20:41:13.670269Z",
+     "start_time": "2021-05-25T20:41:13.653966Z"
     }
    },
    "outputs": [],
@@ -128,8 +128,8 @@
    "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-21T23:00:39.476555Z",
-     "start_time": "2021-05-21T23:00:39.457382Z"
+     "end_time": "2021-05-25T20:41:13.689280Z",
+     "start_time": "2021-05-25T20:41:13.672263Z"
     }
    },
    "outputs": [],
@@ -142,8 +142,8 @@
    "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-21T23:00:39.497255Z",
-     "start_time": "2021-05-21T23:00:39.478374Z"
+     "end_time": "2021-05-25T20:41:13.710172Z",
+     "start_time": "2021-05-25T20:41:13.691194Z"
     }
    },
    "outputs": [],
@@ -159,21 +159,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-25T03:35:05.300195Z",
-     "start_time": "2021-05-25T03:34:17.434230Z"
-    }
+     "end_time": "2021-05-25T20:45:08.944541Z",
+     "start_time": "2021-05-25T20:44:21.584469Z"
+    },
+    "scrolled": true
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of variants after mean heteroplasmy of 0.001: 49704\n",
-      "Number of variants after mean heteroplasmy of 0.001: 49704\n",
-      "Number of variants after mean heteroplasmy of 0.001: 49704\n"
+      "Number of variants after mean heteroplasmy of 0.001: 123\n",
+      "Number of variants after mean heteroplasmy of 0.001: 256\n",
+      "Number of variants after mean heteroplasmy of 0.001: 173\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/isshamie/software/anaconda2/envs/mito_trace/lib/python3.7/site-packages/ipykernel_launcher.py:18: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
+      "of pandas will change to not sort by default.\n",
+      "\n",
+      "To accept the future behavior, pass 'sort=False'.\n",
+      "\n",
+      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
+      "\n"
      ]
     }
    ],
@@ -182,13 +196,15 @@
     "concat_dirs={}\n",
     "filter_mgatk_variants = {}\n",
     "afs={}\n",
+    "mgatk_afs = {}\n",
     "for s in samples:\n",
     "    indirs[s] = join(indir, in_prefix, s,mapq,f\"cellr_{cellr}\")\n",
     "    concat_dirs[s] = join(indirs[s],f\"{s}_{num_reads}\")\n",
     "    filter_mgatk_variants[s] = join(concat_dirs[s], \"filters\",filt_id,\"filter_mgatk\")\n",
     "    afs[s] = pd.read_csv(join(filter_mgatk_variants[s], f\"{s}.af.tsv\"),sep=\"\\t\")\n",
-    "    #afs[s] = afs[s].loc[(afs[s].mean(axis=1)>=het)]\n",
-    "    print(f\"Number of variants after mean heteroplasmy of {het}: {afs[s].shape[0]}\")\n",
+    "    mgatk_afs[s] = pd.read_csv(join(filter_mgatk_variants[s], f\"{s}.af.mgatk.tsv\"),sep=\"\\t\")\n",
+    "    afs[s] = afs[s].loc[mgatk_afs[s].index]\n",
+    "    print(f\"Number of variants after mean heteroplasmy of {het}: {mgatk_afs[s].shape[0]}\")\n",
     "\n",
     "## Add labels to the names\n",
     "for s in afs:\n",
@@ -198,11 +214,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-25T03:35:05.361421Z",
-     "start_time": "2021-05-25T03:35:05.302674Z"
+     "end_time": "2021-05-25T20:45:08.996976Z",
+     "start_time": "2021-05-25T20:45:08.946638Z"
     }
    },
    "outputs": [
@@ -252,124 +268,124 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1G&gt;A</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>10302A&gt;T</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3T&gt;A</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>10398A&gt;G</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.951595</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.104439</td>\n",
+       "      <td>0.018799</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.001452</td>\n",
+       "      <td>0.458447</td>\n",
+       "      <td>0.003831</td>\n",
+       "      <td>0.016747</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4C&gt;A</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>103G&gt;A</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6C&gt;A</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>10400C&gt;T</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.945312</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.108571</td>\n",
+       "      <td>0.018930</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.001550</td>\n",
+       "      <td>0.441512</td>\n",
+       "      <td>0.004108</td>\n",
+       "      <td>0.015044</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8G&gt;A</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>1040T&gt;C</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -396,265 +412,265 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16564A&gt;T</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>9545A&gt;G</th>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.001871</td>\n",
+       "      <td>0.996065</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.00214</td>\n",
+       "      <td>0.115965</td>\n",
+       "      <td>0.020828</td>\n",
+       "      <td>0.000429</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.465913</td>\n",
+       "      <td>0.001287</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16565C&gt;T</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>9590A&gt;T</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16566G&gt;T</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>9640C&gt;T</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16567A&gt;T</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>983C&gt;T</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16569G&gt;T</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>9899T&gt;C</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.998833</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.091391</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.036762</td>\n",
+       "      <td>0.994806</td>\n",
+       "      <td>0.148197</td>\n",
+       "      <td>0.000644</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000758</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>49704 rows × 4798 columns</p>\n",
+       "<p>339 rows × 4798 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "          AAACTGCTCTCGCGGA-1_Control  AAAGATGCAGCAACGA-1_Control  \\\n",
-       "1G>A                             0.0                         0.0   \n",
-       "3T>A                             0.0                         0.0   \n",
-       "4C>A                             0.0                         0.0   \n",
-       "6C>A                             0.0                         0.0   \n",
-       "8G>A                             0.0                         0.0   \n",
+       "10302A>T                         NaN                         NaN   \n",
+       "10398A>G                         0.0                         0.0   \n",
+       "103G>A                           NaN                         NaN   \n",
+       "10400C>T                         0.0                         0.0   \n",
+       "1040T>C                          NaN                         NaN   \n",
        "...                              ...                         ...   \n",
-       "16564A>T                         0.0                         0.0   \n",
-       "16565C>T                         0.0                         0.0   \n",
-       "16566G>T                         0.0                         0.0   \n",
-       "16567A>T                         0.0                         0.0   \n",
-       "16569G>T                         0.0                         0.0   \n",
+       "9545A>G                          0.0                         0.0   \n",
+       "9590A>T                          NaN                         NaN   \n",
+       "9640C>T                          NaN                         NaN   \n",
+       "983C>T                           NaN                         NaN   \n",
+       "9899T>C                          1.0                         1.0   \n",
        "\n",
        "          AAAGGATGTGCTGTGC-1_Control  AAAGGATTCAAAGTAG-1_Control  \\\n",
-       "1G>A                             0.0                         0.0   \n",
-       "3T>A                             0.0                         0.0   \n",
-       "4C>A                             0.0                         0.0   \n",
-       "6C>A                             0.0                         0.0   \n",
-       "8G>A                             0.0                         0.0   \n",
+       "10302A>T                         NaN                         NaN   \n",
+       "10398A>G                    0.000000                    0.951595   \n",
+       "103G>A                           NaN                         NaN   \n",
+       "10400C>T                    0.000000                    0.945312   \n",
+       "1040T>C                          NaN                         NaN   \n",
        "...                              ...                         ...   \n",
-       "16564A>T                         0.0                         0.0   \n",
-       "16565C>T                         0.0                         0.0   \n",
-       "16566G>T                         0.0                         0.0   \n",
-       "16567A>T                         0.0                         0.0   \n",
-       "16569G>T                         0.0                         0.0   \n",
+       "9545A>G                     0.001871                    0.996065   \n",
+       "9590A>T                          NaN                         NaN   \n",
+       "9640C>T                          NaN                         NaN   \n",
+       "983C>T                           NaN                         NaN   \n",
+       "9899T>C                     0.000000                    0.000000   \n",
        "\n",
        "          AAATGCCCAGAAAGAG-1_Control  AAATGCCGTAAGGTCG-1_Control  \\\n",
-       "1G>A                             0.0                         0.0   \n",
-       "3T>A                             0.0                         0.0   \n",
-       "4C>A                             0.0                         0.0   \n",
-       "6C>A                             0.0                         0.0   \n",
-       "8G>A                             0.0                         0.0   \n",
+       "10302A>T                         NaN                         NaN   \n",
+       "10398A>G                         0.0                         1.0   \n",
+       "103G>A                           NaN                         NaN   \n",
+       "10400C>T                         0.0                         1.0   \n",
+       "1040T>C                          NaN                         NaN   \n",
        "...                              ...                         ...   \n",
-       "16564A>T                         0.0                         0.0   \n",
-       "16565C>T                         0.0                         0.0   \n",
-       "16566G>T                         0.0                         0.0   \n",
-       "16567A>T                         0.0                         0.0   \n",
-       "16569G>T                         0.0                         0.0   \n",
+       "9545A>G                          0.0                         1.0   \n",
+       "9590A>T                          NaN                         NaN   \n",
+       "9640C>T                          NaN                         NaN   \n",
+       "983C>T                           NaN                         NaN   \n",
+       "9899T>C                          0.0                         0.0   \n",
        "\n",
        "          AACAAAGAGCGATACG-1_Control  AACAAAGTCAGAGTGG-1_Control  \\\n",
-       "1G>A                             0.0                         0.0   \n",
-       "3T>A                             0.0                         0.0   \n",
-       "4C>A                             0.0                         0.0   \n",
-       "6C>A                             0.0                         0.0   \n",
-       "8G>A                             0.0                         0.0   \n",
+       "10302A>T                         NaN                         NaN   \n",
+       "10398A>G                    0.000000                         1.0   \n",
+       "103G>A                           NaN                         NaN   \n",
+       "10400C>T                    0.000000                         1.0   \n",
+       "1040T>C                          NaN                         NaN   \n",
        "...                              ...                         ...   \n",
-       "16564A>T                         0.0                         0.0   \n",
-       "16565C>T                         0.0                         0.0   \n",
-       "16566G>T                         0.0                         0.0   \n",
-       "16567A>T                         0.0                         0.0   \n",
-       "16569G>T                         0.0                         0.0   \n",
+       "9545A>G                     0.000000                         1.0   \n",
+       "9590A>T                          NaN                         NaN   \n",
+       "9640C>T                          NaN                         NaN   \n",
+       "983C>T                           NaN                         NaN   \n",
+       "9899T>C                     0.998833                         0.0   \n",
        "\n",
        "          AACAAAGTCTTACGGA-1_Control  AACATCGCATCGAGTT-1_Control  ...  \\\n",
-       "1G>A                             0.0                         0.0  ...   \n",
-       "3T>A                             0.0                         0.0  ...   \n",
-       "4C>A                             0.0                         0.0  ...   \n",
-       "6C>A                             0.0                         0.0  ...   \n",
-       "8G>A                             0.0                         0.0  ...   \n",
+       "10302A>T                         NaN                         NaN  ...   \n",
+       "10398A>G                         0.0                         1.0  ...   \n",
+       "103G>A                           NaN                         NaN  ...   \n",
+       "10400C>T                         0.0                         1.0  ...   \n",
+       "1040T>C                          NaN                         NaN  ...   \n",
        "...                              ...                         ...  ...   \n",
-       "16564A>T                         0.0                         0.0  ...   \n",
-       "16565C>T                         0.0                         0.0  ...   \n",
-       "16566G>T                         0.0                         0.0  ...   \n",
-       "16567A>T                         0.0                         0.0  ...   \n",
-       "16569G>T                         0.0                         0.0  ...   \n",
+       "9545A>G                          0.0                         1.0  ...   \n",
+       "9590A>T                          NaN                         NaN  ...   \n",
+       "9640C>T                          NaN                         NaN  ...   \n",
+       "983C>T                           NaN                         NaN  ...   \n",
+       "9899T>C                          0.0                         0.0  ...   \n",
        "\n",
        "          TTCGGTCTCTCTTCCT-1_Input  TTGCAGAAGTACGACG-1_Input  \\\n",
-       "1G>A                           0.0                       0.0   \n",
-       "3T>A                           0.0                       0.0   \n",
-       "4C>A                           0.0                       0.0   \n",
-       "6C>A                           0.0                       0.0   \n",
-       "8G>A                           0.0                       0.0   \n",
+       "10302A>T                       NaN                       NaN   \n",
+       "10398A>G                   0.00000                  0.104439   \n",
+       "103G>A                         NaN                       NaN   \n",
+       "10400C>T                   0.00000                  0.108571   \n",
+       "1040T>C                        NaN                       NaN   \n",
        "...                            ...                       ...   \n",
-       "16564A>T                       0.0                       0.0   \n",
-       "16565C>T                       0.0                       0.0   \n",
-       "16566G>T                       0.0                       0.0   \n",
-       "16567A>T                       0.0                       0.0   \n",
-       "16569G>T                       0.0                       0.0   \n",
+       "9545A>G                    0.00214                  0.115965   \n",
+       "9590A>T                        NaN                       NaN   \n",
+       "9640C>T                        NaN                       NaN   \n",
+       "983C>T                         NaN                       NaN   \n",
+       "9899T>C                    0.00000                  0.091391   \n",
        "\n",
        "          TTGCGAACATGGATGG-1_Input  TTGCTATTCCCGTAGG-1_Input  \\\n",
-       "1G>A                           0.0                       0.0   \n",
-       "3T>A                           0.0                       0.0   \n",
-       "4C>A                           0.0                       0.0   \n",
-       "6C>A                           0.0                       0.0   \n",
-       "8G>A                           0.0                       0.0   \n",
+       "10302A>T                       NaN                       NaN   \n",
+       "10398A>G                  0.018799                  0.000000   \n",
+       "103G>A                         NaN                       NaN   \n",
+       "10400C>T                  0.018930                  0.000000   \n",
+       "1040T>C                        NaN                       NaN   \n",
        "...                            ...                       ...   \n",
-       "16564A>T                       0.0                       0.0   \n",
-       "16565C>T                       0.0                       0.0   \n",
-       "16566G>T                       0.0                       0.0   \n",
-       "16567A>T                       0.0                       0.0   \n",
-       "16569G>T                       0.0                       0.0   \n",
+       "9545A>G                   0.020828                  0.000429   \n",
+       "9590A>T                        NaN                       NaN   \n",
+       "9640C>T                        NaN                       NaN   \n",
+       "983C>T                         NaN                       NaN   \n",
+       "9899T>C                   0.000000                  0.000000   \n",
        "\n",
        "          TTGCTTAGTATTCTCT-1_Input  TTGCTTATCGGTTCCT-1_Input  \\\n",
-       "1G>A                           0.0                       0.0   \n",
-       "3T>A                           0.0                       0.0   \n",
-       "4C>A                           0.0                       0.0   \n",
-       "6C>A                           0.0                       0.0   \n",
-       "8G>A                           0.0                       0.0   \n",
+       "10302A>T                       NaN                       NaN   \n",
+       "10398A>G                  0.000000                  0.001452   \n",
+       "103G>A                         NaN                       NaN   \n",
+       "10400C>T                  0.000000                  0.001550   \n",
+       "1040T>C                        NaN                       NaN   \n",
        "...                            ...                       ...   \n",
-       "16564A>T                       0.0                       0.0   \n",
-       "16565C>T                       0.0                       0.0   \n",
-       "16566G>T                       0.0                       0.0   \n",
-       "16567A>T                       0.0                       0.0   \n",
-       "16569G>T                       0.0                       0.0   \n",
+       "9545A>G                   0.000000                  0.000000   \n",
+       "9590A>T                        NaN                       NaN   \n",
+       "9640C>T                        NaN                       NaN   \n",
+       "983C>T                         NaN                       NaN   \n",
+       "9899T>C                   0.036762                  0.994806   \n",
        "\n",
        "          TTGTCTAAGCACGTAG-1_Input  TTTACGTCAGCCACGT-1_Input  \\\n",
-       "1G>A                           0.0                       0.0   \n",
-       "3T>A                           0.0                       0.0   \n",
-       "4C>A                           0.0                       0.0   \n",
-       "6C>A                           0.0                       0.0   \n",
-       "8G>A                           0.0                       0.0   \n",
+       "10302A>T                       NaN                       NaN   \n",
+       "10398A>G                  0.458447                  0.003831   \n",
+       "103G>A                         NaN                       NaN   \n",
+       "10400C>T                  0.441512                  0.004108   \n",
+       "1040T>C                        NaN                       NaN   \n",
        "...                            ...                       ...   \n",
-       "16564A>T                       0.0                       0.0   \n",
-       "16565C>T                       0.0                       0.0   \n",
-       "16566G>T                       0.0                       0.0   \n",
-       "16567A>T                       0.0                       0.0   \n",
-       "16569G>T                       0.0                       0.0   \n",
+       "9545A>G                   0.465913                  0.001287   \n",
+       "9590A>T                        NaN                       NaN   \n",
+       "9640C>T                        NaN                       NaN   \n",
+       "983C>T                         NaN                       NaN   \n",
+       "9899T>C                   0.148197                  0.000644   \n",
        "\n",
        "          TTTGAGGTCTGGGCGT-1_Input  TTTGCGCGTTGAATAG-1_Input  \n",
-       "1G>A                           0.0                       0.0  \n",
-       "3T>A                           0.0                       0.0  \n",
-       "4C>A                           0.0                       0.0  \n",
-       "6C>A                           0.0                       0.0  \n",
-       "8G>A                           0.0                       0.0  \n",
+       "10302A>T                       NaN                       NaN  \n",
+       "10398A>G                  0.016747                  0.000000  \n",
+       "103G>A                         NaN                       NaN  \n",
+       "10400C>T                  0.015044                  0.000000  \n",
+       "1040T>C                        NaN                       NaN  \n",
        "...                            ...                       ...  \n",
-       "16564A>T                       0.0                       0.0  \n",
-       "16565C>T                       0.0                       0.0  \n",
-       "16566G>T                       0.0                       0.0  \n",
-       "16567A>T                       0.0                       0.0  \n",
-       "16569G>T                       0.0                       0.0  \n",
+       "9545A>G                   0.000000                  0.000000  \n",
+       "9590A>T                        NaN                       NaN  \n",
+       "9640C>T                        NaN                       NaN  \n",
+       "983C>T                         NaN                       NaN  \n",
+       "9899T>C                   0.000000                  0.000758  \n",
        "\n",
-       "[49704 rows x 4798 columns]"
+       "[339 rows x 4798 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -663,6 +679,22 @@
     "all_cells"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-05-25T20:47:32.913014Z",
+     "start_time": "2021-05-25T20:47:32.884336Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "variants_set = dict()\n",
+    "for s in mgatk_afs:\n",
+    "    variants_set[s] = mgatk_afs[s].index\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -672,11 +704,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-25T03:35:06.690243Z",
-     "start_time": "2021-05-25T03:35:06.649496Z"
+     "end_time": "2021-05-25T20:47:34.087364Z",
+     "start_time": "2021-05-25T20:47:34.058340Z"
     }
    },
    "outputs": [],
@@ -686,11 +718,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-25T03:35:34.264560Z",
-     "start_time": "2021-05-25T03:35:07.848195Z"
+     "end_time": "2021-05-25T20:47:34.737562Z",
+     "start_time": "2021-05-25T20:47:34.523554Z"
     }
    },
    "outputs": [
@@ -699,7 +731,58 @@
      "output_type": "stream",
      "text": [
       "variants\n",
-      "['1G>A' '3T>A' '4C>A' ... '16566G>T' '16567A>T' '16569G>T']\n"
+      "['10302A>T' '10398A>G' '103G>A' '10400C>T' '1040T>C' '10463T>C' '10516T>A'\n",
+      " '10559A>G' '10571A>T' '10626T>C' '10646G>A' '10671G>A' '1082A>G'\n",
+      " '10873T>C' '11137T>C' '11204T>A' '11204T>C' '11238T>C' '11251A>G'\n",
+      " '11332C>T' '11339T>C' '1134G>A' '11382C>A' '11467A>G' '11655C>G'\n",
+      " '11684T>C' '11689C>T' '11711G>A' '11719G>A' '1174T>C' '11812A>G'\n",
+      " '11838T>A' '11914G>A' '1192C>A' '11944T>C' '1199G>T' '12079C>T'\n",
+      " '12105T>C' '12283G>A' '12283G>T' '12297T>C' '12308A>G' '12372G>A'\n",
+      " '1252G>A' '12705C>T' '12723A>C' '12723A>G' '12736G>A' '12790T>A'\n",
+      " '12790T>C' '12913T>C' '1291T>C' '12944T>A' '13042G>A' '13053C>A'\n",
+      " '13063G>A' '13094T>A' '13108T>A' '13121G>A' '13246T>A' '13246T>C'\n",
+      " '13263A>G' '13263A>T' '13305C>T' '13339T>A' '1334G>A' '13368G>A'\n",
+      " '13369T>C' '13422A>T' '13436C>A' '13443T>A' '13443T>C' '13619T>A'\n",
+      " '13781T>C' '13850A>T' '13931T>C' '14050T>C' '14233A>G' '14274A>G'\n",
+      " '14318T>C' '14524A>C' '14614A>T' '14620C>T' '146T>C' '1471A>G' '1471A>T'\n",
+      " '14766C>T' '14783T>C' '14861G>A' '14905G>A' '14962C>T' '14991T>A'\n",
+      " '14991T>C' '15043G>A' '15051T>C' '150C>T' '15122A>G' '15153G>A'\n",
+      " '15171G>A' '15184T>C' '15235A>C' '15235A>G' '15301G>A' '15452C>A'\n",
+      " '15487A>T' '1551G>T' '15536A>C' '15607A>G' '15672T>C' '15693T>C'\n",
+      " '15758A>G' '15784T>C' '15789C>T' '15821T>A' '1589C>G' '15924A>G'\n",
+      " '15928G>A' '16051A>G' '16066A>T' '16086T>C' '16126T>C' '16129G>A'\n",
+      " '16131T>C' '16150C>T' '16189T>C' '16220A>C' '16220A>G' '16223C>T'\n",
+      " '16227A>T' '16262C>T' '16294C>T' '16296C>A' '16296C>T' '16298T>C'\n",
+      " '16304T>C' '16325T>C' '16327C>T' '16356T>A' '16356T>C' '16362T>C'\n",
+      " '16387A>G' '16433A>T' '16465C>T' '16477G>A' '16512T>A' '16512T>C'\n",
+      " '16519T>A' '16519T>C' '1779A>G' '1811A>G' '1847T>A' '1888G>A' '1945A>G'\n",
+      " '1949G>A' '195T>C' '204T>C' '2083T>C' '2231A>G' '2264A>G' '2291A>T'\n",
+      " '248A>G' '2514C>A' '2529T>C' '2623A>G' '2651A>G' '2653C>A' '2653C>T'\n",
+      " '2694A>T' '2702G>A' '2706A>G' '2707A>G' '2723A>G' '2723A>T' '2778T>C'\n",
+      " '2786T>C' '2833A>G' '2863T>A' '2871T>C' '2875A>G' '2875A>T' '287A>C'\n",
+      " '290A>T' '3003A>G' '3010G>A' '3106C>A' '310T>C' '3144A>G' '318T>A'\n",
+      " '3203A>G' '3242G>A' '3243A>G' '3243A>T' '3244G>A' '3296T>A' '3402A>T'\n",
+      " '3412G>A' '3488T>C' '3514C>A' '3542T>C' '3552T>A' '3561A>C' '3599T>C'\n",
+      " '3630C>A' '3630C>T' '3655C>A' '3672A>G' '368A>G' '3735A>T' '3801T>C'\n",
+      " '3820C>A' '3820C>T' '4100T>A' '4100T>C' '4117T>C' '4216T>C' '4248T>C'\n",
+      " '4428G>A' '4516G>A' '4631A>T' '4646T>C' '4715A>G' '477T>C' '478A>C'\n",
+      " '478A>G' '4806T>A' '4820G>T' '4831G>A' '4837C>A' '4855T>A' '4858T>A'\n",
+      " '489T>C' '4917A>G' '4972G>A' '499G>A' '513G>A' '5147G>A' '515A>G'\n",
+      " '5214C>A' '5214C>T' '5231G>A' '523A>C' '5252G>A' '5273A>T' '5335A>G'\n",
+      " '5337C>A' '5357A>C' '5361T>C' '5370T>C' '5442T>C' '5496A>G' '5580T>C'\n",
+      " '5585G>A' '5585G>T' '5610G>A' '5622C>T' '5698G>A' '5774T>C' '5817C>T'\n",
+      " '585A>G' '5999T>C' '6043T>A' '6047A>G' '6050T>C' '6142A>G' '6142A>T'\n",
+      " '6207T>A' '6221T>C' '627G>A' '6293T>C' '62G>A' '6364G>A' '6371C>A'\n",
+      " '639C>T' '6456G>A' '6513G>A' '6529T>G' '6795G>A' '6797C>T' '6891A>T'\n",
+      " '6904G>A' '6904G>C' '7028C>T' '7032T>A' '7032T>C' '709G>A' '7158A>G'\n",
+      " '7196C>A' '7218C>T' '73A>G' '747A>G' '7579T>C' '7589G>A' '7609T>C'\n",
+      " '7639A>T' '7689G>A' '7697G>A' '769G>T' '7704A>C' '7704A>G' '7705T>C'\n",
+      " '7775G>A' '7808C>T' '7818T>C' '7849C>T' '7950T>C' '8108A>G' '8118G>A'\n",
+      " '8153G>A' '8276C>A' '8285C>A' '8352C>A' '8467C>T' '8584G>A' '8609C>A'\n",
+      " '8642A>G' '8652A>C' '8697G>A' '8701A>G' '875T>C' '8770A>T' '8902G>A'\n",
+      " '8908T>A' '8926C>T' '892A>C' '8989G>A' '8998G>A' '9023C>T' '9087C>A'\n",
+      " '9173T>A' '9270C>A' '930G>A' '9344C>A' '9476A>T' '9540T>C' '9545A>G'\n",
+      " '9590A>T' '9640C>T' '983C>T' '9899T>C']\n"
      ]
     },
     {
@@ -732,44 +815,44 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1G&gt;A</th>\n",
-       "      <td>1</td>\n",
-       "      <td>G</td>\n",
+       "      <th>10302A&gt;T</th>\n",
+       "      <td>10302</td>\n",
        "      <td>A</td>\n",
-       "      <td>Transition</td>\n",
-       "      <td>G&gt;A</td>\n",
+       "      <td>T</td>\n",
+       "      <td>Transversion</td>\n",
+       "      <td>A&gt;T</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3T&gt;A</th>\n",
-       "      <td>3</td>\n",
-       "      <td>T</td>\n",
+       "      <th>10398A&gt;G</th>\n",
+       "      <td>10398</td>\n",
        "      <td>A</td>\n",
-       "      <td>Transversion</td>\n",
-       "      <td>T&gt;A</td>\n",
+       "      <td>G</td>\n",
+       "      <td>Transition</td>\n",
+       "      <td>A&gt;G</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4C&gt;A</th>\n",
-       "      <td>4</td>\n",
-       "      <td>C</td>\n",
+       "      <th>103G&gt;A</th>\n",
+       "      <td>103</td>\n",
+       "      <td>G</td>\n",
        "      <td>A</td>\n",
-       "      <td>Transversion</td>\n",
-       "      <td>C&gt;A</td>\n",
+       "      <td>Transition</td>\n",
+       "      <td>G&gt;A</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6C&gt;A</th>\n",
-       "      <td>6</td>\n",
+       "      <th>10400C&gt;T</th>\n",
+       "      <td>10400</td>\n",
        "      <td>C</td>\n",
-       "      <td>A</td>\n",
-       "      <td>Transversion</td>\n",
-       "      <td>C&gt;A</td>\n",
+       "      <td>T</td>\n",
+       "      <td>Transition</td>\n",
+       "      <td>C&gt;T</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8G&gt;A</th>\n",
-       "      <td>8</td>\n",
-       "      <td>G</td>\n",
-       "      <td>A</td>\n",
+       "      <th>1040T&gt;C</th>\n",
+       "      <td>1040</td>\n",
+       "      <td>T</td>\n",
+       "      <td>C</td>\n",
        "      <td>Transition</td>\n",
-       "      <td>G&gt;A</td>\n",
+       "      <td>T&gt;C</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -780,68 +863,68 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16564A&gt;T</th>\n",
-       "      <td>16564</td>\n",
+       "      <th>9545A&gt;G</th>\n",
+       "      <td>9545</td>\n",
+       "      <td>A</td>\n",
+       "      <td>G</td>\n",
+       "      <td>Transition</td>\n",
+       "      <td>A&gt;G</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9590A&gt;T</th>\n",
+       "      <td>9590</td>\n",
        "      <td>A</td>\n",
        "      <td>T</td>\n",
        "      <td>Transversion</td>\n",
        "      <td>A&gt;T</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16565C&gt;T</th>\n",
-       "      <td>16565</td>\n",
+       "      <th>9640C&gt;T</th>\n",
+       "      <td>9640</td>\n",
        "      <td>C</td>\n",
        "      <td>T</td>\n",
        "      <td>Transition</td>\n",
        "      <td>C&gt;T</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16566G&gt;T</th>\n",
-       "      <td>16566</td>\n",
-       "      <td>G</td>\n",
-       "      <td>T</td>\n",
-       "      <td>Transversion</td>\n",
-       "      <td>G&gt;T</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16567A&gt;T</th>\n",
-       "      <td>16567</td>\n",
-       "      <td>A</td>\n",
+       "      <th>983C&gt;T</th>\n",
+       "      <td>983</td>\n",
+       "      <td>C</td>\n",
        "      <td>T</td>\n",
-       "      <td>Transversion</td>\n",
-       "      <td>A&gt;T</td>\n",
+       "      <td>Transition</td>\n",
+       "      <td>C&gt;T</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16569G&gt;T</th>\n",
-       "      <td>16569</td>\n",
-       "      <td>G</td>\n",
+       "      <th>9899T&gt;C</th>\n",
+       "      <td>9899</td>\n",
        "      <td>T</td>\n",
-       "      <td>Transversion</td>\n",
-       "      <td>G&gt;T</td>\n",
+       "      <td>C</td>\n",
+       "      <td>Transition</td>\n",
+       "      <td>T&gt;C</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>49704 rows × 5 columns</p>\n",
+       "<p>339 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "         position ref alt  variant type variant change\n",
-       "1G>A            1   G   A    Transition            G>A\n",
-       "3T>A            3   T   A  Transversion            T>A\n",
-       "4C>A            4   C   A  Transversion            C>A\n",
-       "6C>A            6   C   A  Transversion            C>A\n",
-       "8G>A            8   G   A    Transition            G>A\n",
+       "10302A>T    10302   A   T  Transversion            A>T\n",
+       "10398A>G    10398   A   G    Transition            A>G\n",
+       "103G>A        103   G   A    Transition            G>A\n",
+       "10400C>T    10400   C   T    Transition            C>T\n",
+       "1040T>C      1040   T   C    Transition            T>C\n",
        "...           ...  ..  ..           ...            ...\n",
-       "16564A>T    16564   A   T  Transversion            A>T\n",
-       "16565C>T    16565   C   T    Transition            C>T\n",
-       "16566G>T    16566   G   T  Transversion            G>T\n",
-       "16567A>T    16567   A   T  Transversion            A>T\n",
-       "16569G>T    16569   G   T  Transversion            G>T\n",
+       "9545A>G      9545   A   G    Transition            A>G\n",
+       "9590A>T      9590   A   T  Transversion            A>T\n",
+       "9640C>T      9640   C   T    Transition            C>T\n",
+       "983C>T        983   C   T    Transition            C>T\n",
+       "9899T>C      9899   T   C    Transition            T>C\n",
        "\n",
-       "[49704 rows x 5 columns]"
+       "[339 rows x 5 columns]"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -857,15 +940,15 @@
    "execution_count": 21,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-25T03:36:06.773595Z",
-     "start_time": "2021-05-25T03:36:06.585670Z"
+     "end_time": "2021-05-25T20:47:37.727897Z",
+     "start_time": "2021-05-25T20:47:37.568732Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7feb409e85f8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbf539f3cc0>"
       ]
      },
      "execution_count": 21,
@@ -874,7 +957,7 @@
     },
     {
      "data": {
-      "image/png": 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gkSR1YpBIkjoxSCRJnRgkkqRODBJJUicGiSSpE4NEktSJQSJJ6sQgkSR1YpBIkjoxSCRJnRgkkqRODBJJUicGiSSpE4NEktSJQSJJ6sQgkSR1YpBIkjqZkSBJcneS25KsTzLaavsnuTbJN9vrfn3bn51kU5I7k5zUVz+u7WdTkvOTZCaOR5Lmspk8I3lRVS2pqqXt/VnAdVW1GLiuvSfJkcBK4ChgOXBBkj1bnwuB1cDitiyfxvFLkti9Lm2tANa29lrg5L76uqp6rKruAjYBy5IcAuxTVTdUVQGX9vWRJE2TmQqSAj6X5OYkq1vt4Kq6H6C9HtTq84F7+/pubrX5rT2+LkmaRvNm6HNPqKr7khwEXJvkGxNsO+i+R01Qf+IOemG1GuDQQw99qmOVJE1gRs5Iquq+9vog8ElgGfBAu1xFe32wbb4ZWNjXfQFwX6svGFAf9HkXVdXSqlo6MjIylYciSXPetAdJkp9J8pyxNvBS4HbgamBV22wVcFVrXw2sTLJXksPo3VS/qV3+2prk+Pa01ml9fSRJ02QmLm0dDHyyPak7D/hoVX02ydeAK5KcDtwDnApQVRuSXAFsBLYBZ1bV9ravM4BLgL2Ba9oiSZpG0x4kVfUt4JgB9e8CJ+6kzxpgzYD6KHD0VI9RkjR5u9Pjv5KkWcggkSR1YpBIkjoxSCRJnRgkkqRODBJJUicGiSSpE4NEktSJQSJJ6sQgkSR1YpBIkjoxSCRJnRgkkqRODBJJUicGiSSpE4NEktSJQSJJ6sQgkSR1YpBIkjoxSCRJnRgkkqRODBJJUicGiSSpk1kfJEmWJ7kzyaYkZ830eCRprpnVQZJkT+AvgX8HHAm8IsmRMzsqSZpbZnWQAMuATVX1rar6F2AdsGKGxyRJc8q8mR5AR/OBe/vebwZeMH6jJKuB1e3tD5LcOQ1jmysOBL4z04PYHeTdq2Z6CNqRv5tj3pap2MvP7WzFbA+SQT+dekKh6iLgouEPZ+5JMlpVS2d6HNJ4/m5On9l+aWszsLDv/QLgvhkaiyTNSbM9SL4GLE5yWJJnAiuBq2d4TJI0p8zqS1tVtS3J64C/B/YEPlRVG2Z4WHONlwy1u/J3c5qk6gm3FCRJmrTZfmlLkjTDDBJJUicGydNYkgOSrG/LPyf5dt/7Zw7h8xYmuby1fyXJ8r51L0/y5qn+TO2+pvv3b1iSfDjJL8z0OHZn3iOZI5KcA/ygqt49rh56vwc/neLPezVwdFW9cSr3q9lpun//nqok86pq20yOYTbzjGQOSnJEktuT/C/gFuCQJBclGU2yIclb+7bdnOScJF9PcmuSn2/1Fyf5x/avy1uS/Ezb7/okewNvBX6/vT8lyauTvK/1PSzJ59v+rk2yoNX/Osn7k3wlybeSvHz6fzoatiH+/n08yUv7+v51khVJ5iV5b5Kb2j5e3da/JMk/JFkHfD3Jc5Jc0/Z7e5JT2nZfTrKktV+Z5La2/p2tNi/J95K8q/W9IclB0/YD3Q0YJHPXkcDFVXVsVX0bOKt9C/gY4DfHTX75QFUdC3wQ+ONWezOwuqqWAL8BPDq2cVX9GHg78JGqWlJVV4777AuAD1bVLwN/A7yvb91BwAnAycCfTdGxavczjN+/dcDvASR5FvBvgc/Smx7pwapaBvxr4Mwkh7b9HA/8l6r6JeBlwN1VdUxVHQ1c2z/g9g+ePwVeBBwLnJDkP7TV+wJfrKpjgBuAP+z+I5o9DJK56/9W1df63r8iyS30/oX4fHr/oY/5RHu9GVjU2v8HeF+S1wP7VNX2p/DZL6D3Hz3ApcCv9637VPXcSm8uNT09DeP37+/ohdAzgH8PXF9VjwEvBV6VZD1wI/BcYHHbzw1VdU9r3wosb2cWJ1TVI+PG/IK2z+9U1U+Aj9ILMYAfV9U1A8Y5Jxgkc9cPxxpJFgNvAF7czhI+Czyrb9vH2ut22pdYq+pPgdcAzwa+1vYxFR7ra0/JTHPaLU35719V/YhewPwmvTOTsX+sBHhtOzteUlWHVdV148dRVXcAS4ENwF8kecu4MU/0+/gvfe3/P865wiARwD7AVuD7SQ4BTnqyDkkOr6pbq+rPgK8D459q2Qo8Zyfdvwr8bmu/EvjSLo1aTxdT+fu3Djgd+FXgH1rt74HXJpnX+v5Cu483fp/z6T0QcBnwXuBXxm3yVeBF7Wm0efSmZPriUzvUp6c5lZraqVuAjcDtwLfo/avuyfxJkl8HfkrvksDngEP71l8PvDnJ14E14/q+Drg4ydnAA8Crug1fs9xU/f5B72xmLfA37fITwP+m97u5vveQGA8y+O8WHQO8K8lP6Z1h/Kf+lVW1uT0I8AV6Zyd/W1V/NxZQc5mP/0qSOvHSliSpE4NEktSJQSJJ6sQgkSR1YpBIkjoxSKQhSPKZJM/dxb4nj5siZFLrpJlikEhTKD17VNXLqup7u7ibk9lxipDJrpNmhEEijZPk3CSv7Xt/TpI3JXl2kuvabLO3JVnR1i9KckeSC+h9uW5hkruTHNjWfyrJzW1m29V9+/1BkjVtxtivJjk4ya8Bv01vio71SQ7v2/4J69r8VGPrFye5ubXvbsdxU1uOaPWRNkvu19pywjB/lpojqsrFxaVvoTez6xf73m+k983oefQmCAQ4ENhE7xvOi+h9w/r4vj53Awe29v7tdW96394+oL0v4Lda+8+B/9balwCn7GRsO6wDPg8sae13Aq/v+/z/2tqnAZ9u7Y8C/6a1DwXumOmft8vsX+b8V/ul8arq60kOSvI8YAR4uKruabPKvjPJb9ALjvnAwa3bP1XVV3eyyz/K439bZSG9mWe/S28ajk+3+s30Jht8qj5Ib2bbP6Y3UeGyvnUf63s9r7VfAhzZpgoB2CfJc6pq6y58tgQ415a0M1cCpwA/y+OzyP4+vWA5rqp+kuRuHp+l9odP2AOQ5IX0/uf9q1X1oyRf6Ovzk6oam6NoV2eM/TjwNnpzm91cVd/tW1cD2nu0sfx4Fz5LGsh7JNJg6+jN7noKvVCB3h8verCFyIuAn5vEfvald0bzoyS/SO8PKT2ZiWZO3mFdVT1Kb3bbC4EPj9v29/peb2jtz9GbNBOAsb/8J3VhkEgDVNUGev/D/nZV3d/KHwGWJhmld3byjUns6rPAvCS3Au+gNxX5k1lHmzm5/2b7BOs+Qu+M43Pjtt0ryY30/tbHf261P2rHcGuSjYyb4VbaFc7+K81ySf4E2Leq/ntf7W5gaVV9Z8YGpjnDeyTSLJbkk8DhwItneiyauzwjkSR14j0SSVInBokkqRODRJLUiUEiSerEIJEkdfL/APEsUgaq4LTsAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -895,15 +978,15 @@
    "execution_count": 22,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-25T03:36:09.993592Z",
-     "start_time": "2021-05-25T03:36:09.757387Z"
+     "end_time": "2021-05-25T20:47:43.301117Z",
+     "start_time": "2021-05-25T20:47:42.996288Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7feb409e88d0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbf5388e048>"
       ]
      },
      "execution_count": 22,
@@ -912,7 +995,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -930,27 +1013,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 27,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-25T03:36:25.438913Z",
-     "start_time": "2021-05-25T03:36:14.459449Z"
+     "end_time": "2021-05-25T20:48:08.385994Z",
+     "start_time": "2021-05-25T20:48:08.139545Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x7feb40ebe3c8>"
+       "<seaborn.axisgrid.FacetGrid at 0x7fbf4a531ac8>"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -963,32 +1046,32 @@
    ],
    "source": [
     "sns.catplot(x=\"variant type\",y=\"Total coverage\",\n",
-    "            data=pd.concat((variant_df,all_cells.sum(axis=1)), axis=1).rename({0:\"Total coverage\"}, axis=1))"
+    "            data=pd.concat((variant_df,all_cells.fillna(0).sum(axis=1)), axis=1).rename({0:\"Total coverage\"}, axis=1))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 28,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-17T01:05:16.129182Z",
-     "start_time": "2021-05-17T01:05:15.785289Z"
+     "end_time": "2021-05-25T20:48:10.349067Z",
+     "start_time": "2021-05-25T20:48:10.006939Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x7f5bd4a3d668>"
+       "<seaborn.axisgrid.FacetGrid at 0x7fbf53951048>"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -1006,57 +1089,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-17T01:05:16.187659Z",
-     "start_time": "2021-05-17T01:05:16.164349Z"
+     "start_time": "2021-05-25T20:49:58.105Z"
     }
    },
    "outputs": [],
    "source": [
-    "cell_colors = pd.Series(cell_inds).map(colors)"
+    "cells_meta = pd.DataFrame([x.split(\"_\")[-1] for x in all_cells.columns], columns=[\"Condition\"])\n",
+    "cells_meta"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 30,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2021-05-17T01:05:45.147755Z",
-     "start_time": "2021-05-17T01:05:16.189266Z"
+     "end_time": "2021-05-25T20:48:23.825408Z",
+     "start_time": "2021-05-25T20:48:23.773635Z"
     }
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "clustering\n",
-      "cmap None\n"
+     "ename": "NameError",
+     "evalue": "name 'cell_colors' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-30-b74692d33ea8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m cluster_help.plot_cluster(df=all_cells.fillna(0).transpose(), \n\u001b[0;32m----> 2\u001b[0;31m                  \u001b[0mfsave\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mto_z\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mto_col_clust\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrow_meta\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcell_colors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Sample\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m                  \u001b[0mto_row_clust\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcol_names\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m                  row_names=True, to_legend=True, method=\"average\", white_name=None, metric='jaccard')\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'cell_colors' is not defined"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<seaborn.matrix.ClusterGrid at 0x7f5bd26fa6a0>"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x720 with 5 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
     }
    ],
    "source": [