diff --git a/README.md b/README.md
index 58c80ac..37170b3 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,6 @@
 ![title](wcar.png)
 # Identifying the BACE1 interactome through BioID proximity assay
 
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mtinti/BACE1_pulldown/master)
-
 [![DOI](https://zenodo.org/badge/283470327.svg)](https://zenodo.org/badge/latestdoi/283470327)
 
 
@@ -12,7 +10,7 @@ This repository contains the data analysis of the BioID proximity assay used  to
 
 ## Installation
 
-Use the package manager [conda](https://anaconda.org/) to install the environment or start the mybinder server using the badge
+Use the package manager [conda](https://anaconda.org/) to install the environment or start the mybinder server using this badge [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mtinti/BACE1_pulldown/master)
 
 ```bash
 conda env create -f environment.yml
diff --git a/analysis_def.ipynb b/analysis_def.ipynb
index a3d8ab6..229849c 100644
--- a/analysis_def.ipynb
+++ b/analysis_def.ipynb
@@ -574,7 +574,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -628,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -813,7 +813,7 @@
        "144            sp|O09044|SNP23_MOUSE  2.228165e+06   1408800.0   5738900.0    892600.0   2043000.0   3134500.0   151190.0   55.6360      10.0"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1123,7 +1123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1148,7 +1148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1173,7 +1173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1182,7 +1182,7 @@
        "(7.480314960629921, 3.7401574803149606)"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1199,7 +1199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1220,7 +1220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1240,7 +1240,7 @@
        "Name: FDR, Length: 1598, dtype: float64"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1252,7 +1252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1272,7 +1272,7 @@
        "Name: FDR, Length: 1598, dtype: float64"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1284,15 +1284,156 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Gene_id</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>FDR</th>\n",
+       "      <th>sign</th>\n",
+       "      <th>log_FDR</th>\n",
+       "      <th>log_rank</th>\n",
+       "      <th>srank</th>\n",
+       "      <th>Protein IDs</th>\n",
+       "      <th>Majority protein IDs</th>\n",
+       "      <th>Peptide counts (all)</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Deamidation (NQ) site IDs</th>\n",
+       "      <th>Dioxidation (MW) site IDs</th>\n",
+       "      <th>Oxidation (M) site IDs</th>\n",
+       "      <th>Deamidation (NQ) site positions</th>\n",
+       "      <th>Dioxidation (MW) site positions</th>\n",
+       "      <th>Oxidation (M) site positions</th>\n",
+       "      <th>Taxonomy IDs</th>\n",
+       "      <th>unique_int</th>\n",
+       "      <th>desc</th>\n",
+       "      <th>exp_rank</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>BACE1-BirA</td>\n",
+       "      <td>269.452724</td>\n",
+       "      <td>-0.0</td>\n",
+       "      <td>+</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.430483</td>\n",
+       "      <td>269.452724</td>\n",
+       "      <td>BACE1-BirA;sp|P56818|BACE1_MOUSE;tr|Q8C4F4|Q8C...</td>\n",
+       "      <td>BACE1-BirA</td>\n",
+       "      <td>39;14;11;9;2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0;1;2;3;4;5;6;7;654;655</td>\n",
+       "      <td>20;21;22;23</td>\n",
+       "      <td>0;1;2;3;4;5;6</td>\n",
+       "      <td>153;270;522;530;574;681;726;727;738;742</td>\n",
+       "      <td>552;679;729;815</td>\n",
+       "      <td>63;79;537;715;717;747;816</td>\n",
+       "      <td>-1;-1;-1;-1;-1</td>\n",
+       "      <td>39</td>\n",
+       "      <td>none</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1 rows × 121 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Gene_id        rank  FDR sign  log_FDR  log_rank       srank                                        Protein IDs Majority protein IDs  \\\n",
+       "1  BACE1-BirA  269.452724 -0.0    +      3.0  2.430483  269.452724  BACE1-BirA;sp|P56818|BACE1_MOUSE;tr|Q8C4F4|Q8C...           BACE1-BirA   \n",
+       "\n",
+       "  Peptide counts (all)  ... Deamidation (NQ) site IDs Dioxidation (MW) site IDs Oxidation (M) site IDs          Deamidation (NQ) site positions  \\\n",
+       "1         39;14;11;9;2  ...   0;1;2;3;4;5;6;7;654;655               20;21;22;23          0;1;2;3;4;5;6  153;270;522;530;574;681;726;727;738;742   \n",
+       "\n",
+       "   Dioxidation (MW) site positions  Oxidation (M) site positions    Taxonomy IDs  unique_int  desc  exp_rank  \n",
+       "1                  552;679;729;815     63;79;537;715;717;747;816  -1;-1;-1;-1;-1          39  none       2.0  \n",
+       "\n",
+       "[1 rows x 121 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "main_ids = ['sp|Q80UU9|PGRC2_MOUSE', 'sp|Q9CQW1|YKT6_MOUSE',\n",
+    " 'sp|P63024|VAMP3_MOUSE', 'sp|P49817|CAV1_MOUSE',\n",
+    " 'sp|Q9CQW9|IFM3_MOUSE','BACE1-BirA']\n",
+    "\n",
+    "green_24 = ['tr|A0A0J9YTY0|A0A0J9YTY0_MOUSE', 'tr|A0A0R4J1G9|A0A0R4J1G9_MOUSE']\n",
+    "\n",
+    "green_48 =  ['sp|O54724|CAVN1_MOUSE', 'sp|P18572|BASI_MOUSE', 'sp|Q811D0|DLG1_MOUSE']\n",
+    " \n",
+    "\n",
+    "res_24[res_24['Gene_id'].str.contains('BACE1')] \n",
+    "res_24[res_24['Gene_id'].isin(['BACE1-BirA'])]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "([21, 20, 1, 0], [9, 17, 6, 0])"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list_genes_24= []\n",
+    "for n in ['BASI','EPHA2_MOUSE','BACE1-BirA','sp|Q80UU9|PGRC2_MOUSE']:\n",
+    "    temp = res_24[res_24['Protein IDs'].str.contains(n)]\n",
+    "    list_genes_24.append(temp.index.values[0])           \n",
+    "\n",
+    "list_genes_48= []\n",
+    "for n in ['BASI','EPHA2_MOUSE','BACE1-BirA','sp|Q80UU9|PGRC2_MOUSE']:\n",
+    "    temp = res_48[res_48['Protein IDs'].str.contains(n)]\n",
+    "    list_genes_48.append(temp.index.values[0])           \n",
+    "    \n",
+    "list_genes_24,list_genes_48"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "7\n",
-      "7\n",
+      "4\n",
+      "4\n",
       "no selection\n"
      ]
     },
@@ -1307,8 +1448,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "7\n",
-      "7\n",
+      "4\n",
+      "4\n",
       "no selection\n"
      ]
     },
@@ -1321,7 +1462,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 748x374 with 2 Axes>"
       ]
@@ -1350,12 +1491,17 @@
     "fig, axes=plt.subplots(figsize=(7.48,3.74), \n",
     "                     ncols=2, nrows=1)\n",
     "\n",
+    "#fig, axes=plt.subplots(figsize=(7.48,7.48), \n",
+    "#                     ncols=1, nrows=2)\n",
     "\n",
     "\n",
-    "ids = res_24.sort_values('srank',ascending=False).head(7)\n",
+    "ids = res_24.iloc[list_genes_24]#[res_24['Gene_id'].isin(main_ids+green_24+green_48)] #.sort_values('srank',ascending=False).head(7)\n",
     "_ids = ids.index.values\n",
     "_names = [n.split('|')[-1].replace('_MOUSE','') for n in ids['Gene_id'].values]\n",
     "_names = [name_dict.get(n,n) for n in _names]\n",
+    "\n",
+    "change_color = res_24[res_24['Gene_id'].isin(['BACE1-BirA'])].index.values\n",
+    "\n",
     "print(len(_ids))\n",
     "print(len(_names))\n",
     "ax=axes[0]\n",
@@ -1363,15 +1509,18 @@
     "             annot_index=_ids,\n",
     "             annot_names = _names,\n",
     "             title='',\n",
-    "             #fc_limit=70,\n",
+    "                  alpha_main=0.1,\n",
+    "                  color_main='grey',\n",
     "             fc_col='log_rank',\n",
-    "                  alpha_main=0.3,\n",
+    "                  \n",
     "             point_size_selection=5,\n",
     "             point_size_all=5,\n",
     "            text_size=8,\n",
     "                  fontdict=fontProperties_names,\n",
-    "                  expand_points=(1, 1),\n",
-    "                expand_text=(1.5, 1.5)\n",
+    "                  expand_points=(1.2, 1.2),\n",
+    "                expand_text=(1.1, 1.1),\n",
+    "                  #change_color = ([1],'green',5),\n",
+    "                  \n",
     "            )\n",
     "\n",
     "ax.set_title('BACE1 24h')\n",
@@ -1408,26 +1557,30 @@
     "\n",
     "\n",
     "ax=axes[1]\n",
-    "ids = res_48.sort_values('srank',ascending=False).head(7)\n",
+    "ids = res_48.iloc[list_genes_48]#.isin(main_ids+green_24+green_48)]#res_48.sort_values('srank',ascending=False).head(7)\n",
     "_ids = ids.index.values\n",
     "_names = [n.split('|')[-1].replace('_MOUSE','') for n in ids['Gene_id'].values]\n",
     "_names = [name_dict.get(n,n) for n in _names]\n",
     "print(len(_ids))\n",
     "print(len(_names))\n",
     "\n",
+    "change_color = res_48[res_48['Gene_id'].isin(main_ids+green_24+green_48)].index.values\n",
+    "\n",
     "PTUT.make_vulcano(res_48, ax, x='srank', y='FDR', \n",
     "             annot_index=_ids,\n",
     "             annot_names = _names,\n",
     "             title='',\n",
     "             #fc_limit=70,\n",
     "             fc_col='log_rank',\n",
-    "                  alpha_main=0.3,\n",
+    "                  alpha_main=0.1,\n",
+    "                  color_main='grey',\n",
     "             point_size_selection=5,\n",
     "             point_size_all=5,\n",
     "            text_size=8,\n",
     "                  fontdict=fontProperties_names,\n",
-    "                  expand_points=(1, 1),\n",
-    "                expand_text=(1.5, 1.5)\n",
+    "                  expand_points=(1.2, 1.2),\n",
+    "                expand_text=(1.1, 1.1),\n",
+    "                  #change_color = ([1], 'green', 5),\n",
     "            )\n",
     "\n",
     "ax.set_title('BACE1 48h')\n",
@@ -1468,9 +1621,9 @@
     "\n",
     "\n",
     "plt.tight_layout()\n",
-    "plt.savefig('Fig1.svg')\n",
+    "#plt.savefig('Fig1.svg')\n",
+    "plt.savefig('Fig1b.png')\n",
     "\n",
-    "plt.savefig('Fig1.png')\n",
     "plt.show()\n",
     "\n",
     "#w 190 mm \n",
@@ -1729,6 +1882,24 @@
     "res_48['FDR']=res_48['FDR']*-1"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10.0"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 32,
@@ -1795,7 +1966,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1839,7 +2010,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
@@ -1856,10 +2027,10 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x1299db220>"
+       "<IPython.lib.display.IFrame at 0x11f584ee0>"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2244,6 +2415,89 @@
     "!jupyter nbconvert --to html_toc analysis_def.ipynb"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!git add *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[master d8b2685] add coverage, lower stringency\n",
+      " 39 files changed, 489004 insertions(+), 14836 deletions(-)\n",
+      " rewrite Fig1.png (98%)\n",
+      " rewrite Fig2.png (98%)\n",
+      " rewrite MDS.png (99%)\n",
+      " rewrite analysis_def.ipynb (81%)\n",
+      " create mode 100644 analysis_def_files/analysis_def_11_0.png\n",
+      " rewrite analysis_def_files/analysis_def_14_0.png (99%)\n",
+      " create mode 100644 analysis_def_files/analysis_def_15_1.png\n",
+      " rewrite analysis_def_files/analysis_def_17_0.png (98%)\n",
+      " rewrite analysis_def_files/analysis_def_18_1.png (98%)\n",
+      " create mode 100644 analysis_def_files/analysis_def_37_4.png\n",
+      " create mode 100644 analysis_def_files/analysis_def_40_4.png\n",
+      " rewrite analysis_def_files/analysis_def_42_4.png (99%)\n",
+      " rewrite analysis_def_files/analysis_def_43_1.png (99%)\n",
+      " copy analysis_def_files/{analysis_def_42_4.png => analysis_def_44_4.png} (100%)\n",
+      " create mode 100644 analysis_def_files/analysis_def_45_4.png\n",
+      " create mode 100644 analysis_def_files/analysis_def_48_1.png\n",
+      " create mode 100644 analysis_def_files/analysis_def_48_4.png\n",
+      " create mode 100644 analysis_def_files/analysis_def_49_4.png\n",
+      " create mode 100644 analysis_def_files/analysis_def_51_1.png\n",
+      " create mode 100644 analysis_def_files/analysis_def_52_1.png\n",
+      " create mode 100644 database/README.txt\n",
+      " create mode 100644 database/bait.fa\n",
+      " create mode 100644 database/uniprot-proteome UP000000589.fasta\n",
+      " rewrite missing.png (99%)\n",
+      " rewrite res_24.csv (66%)\n",
+      " rewrite res_48.csv (66%)\n",
+      " create mode 100644 txt/peptides.zip\n",
+      " rewrite txt/prs-bait_vs_control_24.dat (98%)\n",
+      " rewrite txt/prs-bait_vs_control_48.dat (98%)\n",
+      " rewrite txt/value_distribution.png (99%)\n",
+      " rewrite venn.png (98%)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!git commit -m 'add coverage, lower stringency'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Counting objects: 38, done.\n",
+      "Delta compression using up to 8 threads.\n",
+      "Compressing objects: 100% (38/38), done.\n",
+      "Writing objects: 100% (38/38), 18.65 MiB | 823.00 KiB/s, done.\n",
+      "Total 38 (delta 9), reused 0 (delta 0)\n",
+      "remote: Resolving deltas: 100% (9/9), completed with 7 local objects.\u001b[K\n",
+      "To https://github.com/mtinti/BACE1_pulldown.git\n",
+      "   59662f7..d8b2685  master -> master\n",
+      "Branch master set up to track remote branch master from origin.\n"
+     ]
+    }
+   ],
+   "source": [
+    "!git push -u origin master"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,