DataManipulation.ipynb

{
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  {
   "cell_type": "code",
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   "metadata": {
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   },
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.io import push_notebook,show,output_notebook\n",
    "from ipywidgets import interact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-3-2c4a292bd5d8>, line 3)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-3-2c4a292bd5d8>\"\u001b[1;36m, line \u001b[1;32m3\u001b[0m\n\u001b[1;33m    seqs = re.(\".*\", uniprot[1:5000])\u001b[0m\n\u001b[1;37m              ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "with open(\"c_elegans_manual_plus_iso/\") as uniprot:\n",
    "    uniprot =uniprot.read()\n",
    "    seqs = re.(\".*\", uniprot[1:5000])\n",
    "    print(seqs)\n",
    "    #print(uniprot[1:1200])\n",
    "uni_subset =uniprot[1:10000]\n",
    "def uniprot_fasta_tableconv(fasta_file):\n",
    "    fasta_file = uni_subset.split(\">\")\n",
    "    for i in fasta_file:\n",
    "        tmp=i.split(\"|\")\n",
    "        tmp = [tmp[0]+tmp[1], tmp[2]]\n",
    "        tmp = \n",
    "        #tmp = i.split(\"OS=\")\n",
    "        #tmp[1] = tmp[1].split(\"GN=\")\n",
    "        #tmp[]\n",
    "    \n",
    "    \n",
    "    \n",
    "    \n",
    "        print(tmp)\n",
    "uniprot_fasta_tableconv(uni_subset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DDell\\Documents\\Programming\\Bioinformatics\\proteome_analysis_c_elegans\\c_elegans_manual_plus_iso\n"
     ]
    }
   ],
   "source": [
    "cd c_elegans_manual_plus_iso/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fifty_disord</th>\n",
       "      <th>pct_disord</th>\n",
       "      <th>protein</th>\n",
       "      <th>seg_disord</th>\n",
       "      <th>thirty_disord</th>\n",
       "      <th>tot_aa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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      "text/plain": [
       "   fifty_disord  pct_disord       protein  seg_disord  thirty_disord  tot_aa\n",
       "0             0       2.644  spA0A0K3AV08           2              0    1059"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "protein_stats(\"spA0A0K3AV08.fasta.stats\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def protein_stats(stats_file):\n",
    "    with open(stats_file) as stats:\n",
    "        stats = stats.read()\n",
    "        stats = stats.rstrip()\n",
    "        stats = stats.split(\"\\n\")\n",
    "       \n",
    "        \n",
    "        stats = [x.split(\":\") for x in stats]\n",
    "        count = -1\n",
    "        \n",
    "        \n",
    "        \n",
    "        #For each row replace the value in the second item with a stripped version\n",
    "       \n",
    "        #print(stats)\n",
    "        error = None\n",
    "        \n",
    "        for i in stats:\n",
    "            count += 1\n",
    "            value = stats[count][1]\n",
    "            stats[count][1] = value.lstrip()\n",
    "            if value == \"\":\n",
    "                stats[count][1] = None\n",
    "                continue\n",
    "            try:\n",
    "                float(i[1])\n",
    "            except:\n",
    "                \n",
    "                stats[count][1] = stats[count][1].split(\" \")\n",
    "        #if error != None\n",
    "        #    stats\n",
    "        #[float(x[1]) for x in stats]\n",
    "        #stats = [x[1].rstrip(\" \") for x in stats]\n",
    "        #stats = [x.rstrip(\" \") for x in stats if \" \" in x]\n",
    "        \n",
    "        pro_name = stats_file[:-12]    \n",
    "        \n",
    "        \"\"\"if stats[5][1]!= None:\n",
    "            df_range = len(stats[5][1])\n",
    "        else:\n",
    "            df_range = 1\"\"\"\n",
    "        stat_table = pd.DataFrame({\"protein\" : pd.Series(pro_name, index=list(range(1)), dtype=object),\n",
    "                                  \"tot_aa\"  : np.array(stats[0][1], dtype=\"int32\"),\n",
    "                                   \"pct_disord\" : np.array(stats[1][1], dtype=\"float32\"),\n",
    "                                   \"thirty_disord\" : np.array(stats[2][1], dtype=\"int32\"),\n",
    "                                   \"fifty_disord\" : np.array(stats[3][1], dtype=\"int32\"),\n",
    "                                   \"seg_disord\" : np.array(stats[4][1], dtype=\"int32\")#,\n",
    "                                   #\"len_dist\" : pd.Series(stats[5][1], dtype=\"float32\")\n",
    "                                       \n",
    "                                  \n",
    "                                })\n",
    "        #print(stats_file, \"successfully put into table form\")\n",
    "        return(stat_table)\n",
    "   "
   ]
  },
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   "execution_count": null,
   "metadata": {
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": false
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   "outputs": [],
   "source": [
    "datf=None\n",
    "#handle = open(\"c_elegans_manual_plus_iso/filenames.txt\")\n",
    "#[print(x) for x in handle]\n",
    "#row_index = [x[:-13] for x in handle]\n",
    "#row_index = pd.Index(row_index)\n",
    "#print(row_index)\n",
    "handle = open(\"filenames.txt\")\n",
    "counter = 0\n",
    "for i in handle:\n",
    "    #print(i)\n",
    "                \n",
    "    protein=i.rstrip()\n",
    "    #protein += \".stats\"\n",
    "    #print(protein)\n",
    "    #row_index = {x for x in protein}\n",
    "    #print(row_index)\n",
    "    try:\n",
    "        single_row = protein_stats(protein)\n",
    "    except:\n",
    "        #print(protein, \"failed\")\n",
    "        continue\n",
    "    \n",
    "    if datf is None:\n",
    "        datf = single_row\n",
    "    else:\n",
    "        datf = datf.append(single_row)\n",
    "    if counter == 20000: break\n",
    "    counter += 1\n",
    "        \n",
    "#print(datf)\n",
    "handle.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
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       "      <td>0</td>\n",
       "      <td>3.020000</td>\n",
       "      <td>spX5M5N0-10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3.581000</td>\n",
       "      <td>spX5M5N0-11</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3.329000</td>\n",
       "      <td>spX5M5N0-12</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3.072000</td>\n",
       "      <td>spX5M5N0-13</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.449000</td>\n",
       "      <td>spX5M5N0-14</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.749000</td>\n",
       "      <td>spX5M5N0-15</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.280000</td>\n",
       "      <td>spX5M5N0-16</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.702000</td>\n",
       "      <td>spX5M5N0-17</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.493000</td>\n",
       "      <td>spX5M5N0-18</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.935000</td>\n",
       "      <td>spX5M5N0-19</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.888000</td>\n",
       "      <td>spX5M5N0-20</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>9.844000</td>\n",
       "      <td>spX5M5N0-21</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>spX5M5N0-22</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>5.331000</td>\n",
       "      <td>spX5M5N0-2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4.054000</td>\n",
       "      <td>spX5M5N0-3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>4.649000</td>\n",
       "      <td>spX5M5N0-4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>5.163000</td>\n",
       "      <td>spX5M5N0-5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3.871000</td>\n",
       "      <td>spX5M5N0-6</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>spX5M5N0-7</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3.747000</td>\n",
       "      <td>spX5M5N0-8</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3.511000</td>\n",
       "      <td>spX5M5N0-9</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>6.324000</td>\n",
       "      <td>spX5M5N0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>spX5M8U1-2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>spX5M8U1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1088</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5130 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    fifty_disord  pct_disord         protein  seg_disord  thirty_disord  \\\n",
       "0              0    0.000000  spA0A078BQP2-2           0              0   \n",
       "0              0    0.000000    spA0A078BQP2           0              0   \n",
       "0              0    2.692000  spA0A0K3AV08-2           2              0   \n",
       "0              0    2.862000  spA0A0K3AV08-3           2              0   \n",
       "0              0    2.919000  spA0A0K3AV08-4           2              0   \n",
       "0              0    2.644000    spA0A0K3AV08           2              0   \n",
       "0              0    0.000000  spA0A0K3AWM6-2           0              0   \n",
       "0              0    0.000000    spA0A0K3AWM6           0              0   \n",
       "0              0    0.400000  spA0A131MCZ8-2           1              0   \n",
       "0              0    0.000000  spA0A131MCZ8-3           0              0   \n",
       "0              0    0.000000  spA0A131MCZ8-4           0              0   \n",
       "0              0    0.125000    spA0A131MCZ8           1              0   \n",
       "0              0    0.000000        spA0FLQ6           0              0   \n",
       "0              0    0.000000      spA0SQM0-2           0              0   \n",
       "0              0    0.000000        spA0SQM0           0              0   \n",
       "0              0    0.369000        spA3QM97           2              0   \n",
       "0              0    0.000000        spA3QMC8           0              0   \n",
       "0              0   54.900002        spA5JYQ9           2              1   \n",
       "0              0    1.794000      spA5JYW9-2           1              0   \n",
       "0              0    1.791000        spA5JYW9           1              0   \n",
       "0              0    0.000000      spA5Z2X3-2           0              0   \n",
       "0              0    0.000000        spA5Z2X3           0              0   \n",
       "0              0    6.428000        spA6ZJ55           2              0   \n",
       "0              3   19.780001        spA6ZJ71           5              3   \n",
       "0              0    0.000000      spA7IQW5-2           0              0   \n",
       "0              0    0.000000        spA7IQW5           0              0   \n",
       "0              0    5.696000        spA8WHT1           1              0   \n",
       "0              0    0.000000      spB1Q236-2           0              0   \n",
       "0              0    0.000000        spB1Q236           0              0   \n",
       "0              0    0.000000      spB1Q257-2           0              0   \n",
       "..           ...         ...             ...         ...            ...   \n",
       "0              0    0.000000      spU4PR86-4           0              0   \n",
       "0              0    0.000000      spU4PR86-5           0              0   \n",
       "0              0    0.000000      spU4PR86-6           0              0   \n",
       "0              0    0.000000      spU4PR86-7           0              0   \n",
       "0              0    0.000000      spU4PR86-8           0              0   \n",
       "0              0    0.000000        spU4PR86           0              0   \n",
       "0              0    3.020000     spX5M5N0-10           2              1   \n",
       "0              1    3.581000     spX5M5N0-11           2              1   \n",
       "0              1    3.329000     spX5M5N0-12           3              1   \n",
       "0              0    3.072000     spX5M5N0-13           2              1   \n",
       "0              2    6.449000     spX5M5N0-14           3              2   \n",
       "0              2    6.749000     spX5M5N0-15           2              2   \n",
       "0              2    6.280000     spX5M5N0-16           2              2   \n",
       "0              2    6.702000     spX5M5N0-17           2              2   \n",
       "0              2    6.493000     spX5M5N0-18           3              2   \n",
       "0              2    6.935000     spX5M5N0-19           3              2   \n",
       "0              2    6.888000     spX5M5N0-20           3              2   \n",
       "0              0    9.844000     spX5M5N0-21           3              0   \n",
       "0              1   35.000000     spX5M5N0-22           2              1   \n",
       "0              1    5.331000      spX5M5N0-2           3              2   \n",
       "0              1    4.054000      spX5M5N0-3           4              1   \n",
       "0              0    4.649000      spX5M5N0-4           2              2   \n",
       "0              1    5.163000      spX5M5N0-5           2              2   \n",
       "0              1    3.871000      spX5M5N0-6           3              1   \n",
       "0              0    4.700000      spX5M5N0-7           2              2   \n",
       "0              1    3.747000      spX5M5N0-8           3              1   \n",
       "0              1    3.511000      spX5M5N0-9           4              1   \n",
       "0              2    6.324000        spX5M5N0           2              2   \n",
       "0              0    0.000000      spX5M8U1-2           0              0   \n",
       "0              0    0.000000        spX5M8U1           0              0   \n",
       "\n",
       "    tot_aa  \n",
       "0      981  \n",
       "0     1034  \n",
       "0     1040  \n",
       "0      978  \n",
       "0      959  \n",
       "0     1059  \n",
       "0      568  \n",
       "0      570  \n",
       "0      250  \n",
       "0      766  \n",
       "0      219  \n",
       "0      797  \n",
       "0     1661  \n",
       "0      551  \n",
       "0      564  \n",
       "0      811  \n",
       "0      365  \n",
       "0      102  \n",
       "0     1505  \n",
       "0     1507  \n",
       "0      383  \n",
       "0      402  \n",
       "0      420  \n",
       "0     1607  \n",
       "0      167  \n",
       "0      206  \n",
       "0      474  \n",
       "0      703  \n",
       "0      730  \n",
       "0     1014  \n",
       "..     ...  \n",
       "0      702  \n",
       "0      459  \n",
       "0      455  \n",
       "0      462  \n",
       "0      458  \n",
       "0      706  \n",
       "0     1788  \n",
       "0     1843  \n",
       "0     1682  \n",
       "0     1790  \n",
       "0     1845  \n",
       "0     1689  \n",
       "0     1847  \n",
       "0     1686  \n",
       "0     1848  \n",
       "0     1687  \n",
       "0     1684  \n",
       "0      193  \n",
       "0      200  \n",
       "0     1838  \n",
       "0     1677  \n",
       "0     1785  \n",
       "0     1840  \n",
       "0     1679  \n",
       "0     1787  \n",
       "0     1841  \n",
       "0     1680  \n",
       "0     1850  \n",
       "0     1085  \n",
       "0     1088  \n",
       "\n",
       "[5130 rows x 6 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#plt.hist(datf['pct_disord'], bins = 100, )\n",
    "data_nn = datf[datf.pct_disord < 100]\n",
    "data_nn = datf[datf.pct_disord > 1]\n",
    "#data_nn = data_nn[data_nn.tot_aa < 2000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "plt.hist(data_nn['pct_disord'], bins = 150)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                 tot_aa   R-squared:                     -11.270\n",
      "Model:                            OLS   Adj. R-squared:                -11.272\n",
      "Method:                 Least Squares   F-statistic:                    -6477.\n",
      "Date:                Thu, 26 Jan 2017   Prob (F-statistic):               1.00\n",
      "Time:                        12:55:18   Log-Likelihood:                -61725.\n",
      "No. Observations:                7053   AIC:                         1.235e+05\n",
      "Df Residuals:                    7052   BIC:                         1.235e+05\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
      "------------------------------------------------------------------------------\n",
      "pct_disord    11.7978      0.401     29.422      0.000        11.012    12.584\n",
      "==============================================================================\n",
      "Omnibus:                     9258.571   Durbin-Watson:                   0.314\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):          1705916.214\n",
      "Skew:                           7.455   Prob(JB):                         0.00\n",
      "Kurtosis:                      77.717   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "results =sm.OLS(y, x).fit()\n",
    "print(results.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "plt.scatter(x,y)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "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>fifty_disord</th>\n",
       "      <th>pct_disord</th>\n",
       "      <th>protein</th>\n",
       "      <th>seg_disord</th>\n",
       "      <th>thirty_disord</th>\n",
       "      <th>tot_aa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1.160</td>\n",
       "      <td>spA0A078BQP2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>31.350</td>\n",
       "      <td>spA0A0K3AV08</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>1059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>spA0A0K3AWM6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>8.406</td>\n",
       "      <td>spA0A131MCZ8</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.361</td>\n",
       "      <td>spA0FLQ6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1661</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fifty_disord  pct_disord       protein  seg_disord  thirty_disord  tot_aa\n",
       "0             0       1.160  spA0A078BQP2           1              0    1034\n",
       "0             2      31.350  spA0A0K3AV08           5              2    1059\n",
       "0             0       0.000  spA0A0K3AWM6           0              0     570\n",
       "0             0       8.406  spA0A131MCZ8           3              1     797\n",
       "0             0       0.361      spA0FLQ6           1              0    1661"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:             pct_disord   R-squared:                       0.175\n",
      "Model:                            OLS   Adj. R-squared:                  0.175\n",
      "Method:                 Least Squares   F-statistic:                     1274.\n",
      "Date:                Thu, 26 Jan 2017   Prob (F-statistic):          2.86e-253\n",
      "Time:                        07:36:27   Log-Likelihood:                -29010.\n",
      "No. Observations:                6014   AIC:                         5.802e+04\n",
      "Df Residuals:                    6013   BIC:                         5.803e+04\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
      "------------------------------------------------------------------------------\n",
      "len_dist       0.0686      0.002     35.695      0.000         0.065     0.072\n",
      "==============================================================================\n",
      "Omnibus:                     4445.821   Durbin-Watson:                   0.601\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):           878963.841\n",
      "Skew:                          -2.583   Prob(JB):                         0.00\n",
      "Kurtosis:                      62.000   Cond. No.                         1.00\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
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iQAAAN4AAADeAAAA+ggAAPoIAAD6CAAA+ggAAHAAAADGAQAAxgEAANUBAABnAQAALAIAAEkBAABJAQAAbQAAAPIBAADyAQAAWgEAAFoBAADPAQAA6AAAAOgAAADPAAAAzwAAAM8AAAAWAwAAFgMAABYDAADwAAAA8AAAADkFAAA5BQAAOQUAAJgBAACYAQAAmAEAAJgBAADNAQAAzQEAAFgEAABYBAAAWAQAAFgEAADCAgAAOgcAADoHAAA6BwAAOgcAADoHAAA6BwAAOgcAADoHAAA6BwAAOgcAADoHAABABAAA\",\"dtype\":\"int32\",\"shape\":[7053]},\"y\":{\"__ndarray__\":\"                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         
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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            	   	   	   	   	   	   	   	   	                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            	   	   	   	   	   	   	   	   	                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         \",\"dtype\":\"int32\",\"shape\":[7053]}}},\"id\":\"d3c0b9e3-02c6-4228-a798-d995cc5b6a23\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"formatter\":{\"id\":\"4be2388f-e60c-4236-883f-2b207b573bb9\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"dc7bbf07-84bd-49d0-9bb9-2daa88a51aa7\",\"type\":\"BasicTicker\"}},\"id\":\"dba186c7-8d42-4c60-b8fe-d8cbe9a27c51\",\"type\":\"LinearAxis\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"3eadeb8a-6624-4733-aee1-17c3c12994b0\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"callback\":null},\"id\":\"ad96d6ef-bdcf-41eb-aa8b-55b6f11baa71\",\"type\":\"DataRange1d\"},{\"attributes\":{\"overlay\":{\"id\":\"3eadeb8a-6624-4733-aee1-17c3c12994b0\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"1c7aa065-fe10-4e1f-9d18-43afc3a814db\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"3e0679d4-1b2e-4e26-9eab-4953d44f9ccc\",\"type\":\"HelpTool\"},{\"attributes\":{\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"f538faea-8bac-402e-95b4-6839cc230a17\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"data_source\":{\"id\":\"d3c0b9e3-02c6-4228-a798-d995cc5b6a23\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"ffba90e2-f62a-4723-96dd-ab7e05d1b1c0\",\"type\":\"Circle\"},\"hover_glyph\":null,\"nonselection_glyph\":{\"id\":\"25b4fa02-e425-414c-ba4b-26387bdd2c2a\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"a5e64ab4-e21b-4a45-a130-983fa2d2546a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"ffbf85be-811b-48ef-8bc1-da265d64fd5f\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"dc7bbf07-84bd-49d0-9bb9-2daa88a51aa7\",\"type\":\"BasicTicker\"}},\"id\":\"edfd51a3-1e30-496a-ae64-873e120c47fc\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"dc7bbf07-84bd-49d0-9bb9-2daa88a51aa7\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"90c8ce07-3bfc-440f-82e3-59a1e835f77b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f9f92fb5-75f2-488e-b707-eeb637ce9099\",\"type\":\"BasicTicker\"}},\"id\":\"619ba263-d378-4821-b773-a7fab6d6da7d\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"03c94070-d5c5-454a-8256-bd452838224b\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"90c8ce07-3bfc-440f-82e3-59a1e835f77b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"9e5c2766-3282-4447-83e8-047ce6d5b619\",\"type\":\"SaveTool\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f9f92fb5-75f2-488e-b707-eeb637ce9099\",\"type\":\"BasicTicker\"}},\"id\":\"a49cde65-c745-4025-a5d5-4c9ef4d27d80\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null},\"id\":\"9f0ff914-e2c5-413d-9f7b-9ea92d700676\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"f9f92fb5-75f2-488e-b707-eeb637ce9099\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"6f28c652-b747-4775-826a-bb3bf8df8e59\",\"type\":\"ResetTool\"}],\"root_ids\":[\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.4\"}};\n",
       "            var render_items = [{\"docid\":\"844cbabd-6a39-4fd5-a9d2-acdc0b90d9bb\",\"elementid\":\"4cabaa9c-cd19-4964-95f3-e8b6854ba41d\",\"modelid\":\"1c496c6f-ee34-4510-beeb-9fdfded99b4e\",\"notebook_comms_target\":\"a37c5b1e-c698-4d98-b37b-bf58ef569b68\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"4cabaa9c-cd19-4964-95f3-e8b6854ba41d\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<p><code>&lt;Bokeh Notebook handle for <strong>In[61]</strong>&gt;</code></p>"
      ],
      "text/plain": [
       "<bokeh.io._CommsHandle at 0x1fae064b438>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def update(f):\n",
    "    if f == \"Percent Disorder\": func = data_nn.pct_disord\n",
    "    elif f == \"Number of Disorderd Segments\" : func = data_nn.seg_disord\n",
    "    elif f == \"30 Residues Disordered\" : func = data_nn.thirty_disord\n",
    "    r.data_source.data[\"y\"] = func\n",
    "    push_notebook\n",
    "\n",
    "\n",
    "show(bokeh_plot, notebook_handle=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function __main__.update>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interact(update, f = [\"Percent Disorder\", \"Number of Disorderd Segments\", \"30 Residues Disordered\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DDell\\Documents\\Programming\\Bioinformatics\\proteome_analysis_c_elegans\n"
     ]
    }
   ],
   "source": [
    "cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
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