ORFans_domains_and_conservation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f2f0b84c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy.stats as ss\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fd3a9ce-0f26-421b-9e20-bc9a7e4f2006",
   "metadata": {},
   "source": [
    "loading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b7c63125",
   "metadata": {},
   "outputs": [],
   "source": [
    "orfan1 = pd.read_csv(\"./orfan1pr.csv\", header=None, index_col=0).T[\"Conservation\"].iloc[:-1].astype(float).values  # drop last value\n",
    "orfan2 = pd.read_csv(\"./orfan2pr.csv\", header=None, index_col=0).T[\"Conservation\"].iloc[:-1].astype(float).values  # drop last value\n",
    "orfan3 = pd.read_csv(\"./orfan3pr.csv\", header=None, index_col=0).T[\"Conservation\"].iloc[:-1].astype(float).values  # drop last value\n",
    "co1 = pd.read_csv(\"./co1.csv\", header=None, index_col=0).T[\"Conservation\"].iloc[:-1].astype(float).values  # drop last value\n",
    "nad6 = pd.read_csv(\"./nad6.csv\", header=None, index_col=0).T[\"Conservation\"].iloc[:-1].astype(float).values  # drop last value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bc58072c",
   "metadata": {},
   "outputs": [],
   "source": [
    "hid1 = pd.read_csv(\"./orfan1pr.csv\", header=None, index_col=0).T[\"Conservation\"].iloc[:-1].astype(float).values  # drop last value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8a0e8a93",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>orfan</th>\n",
       "      <th>organism</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>domen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>wsbs</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>brevipalpa</td>\n",
       "      <td>12</td>\n",
       "      <td>36</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>bocardiela</td>\n",
       "      <td>13</td>\n",
       "      <td>39</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>wsbs</td>\n",
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       "      <td>57</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>41</td>\n",
       "      <td>58</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
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       "      <td>67</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "      <th>8</th>\n",
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       "      <td>75</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "      <th>9</th>\n",
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       "      <td>76</td>\n",
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       "      <th>10</th>\n",
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       "      <td>wsbs</td>\n",
       "      <td>63</td>\n",
       "      <td>79</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>64</td>\n",
       "      <td>83</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>87</td>\n",
       "      <td>104</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>wsbs</td>\n",
       "      <td>114</td>\n",
       "      <td>138</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>bocardiela</td>\n",
       "      <td>118</td>\n",
       "      <td>138</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>125</td>\n",
       "      <td>144</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>brevipalpa</td>\n",
       "      <td>125</td>\n",
       "      <td>145</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>126</td>\n",
       "      <td>146</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>bocardiela</td>\n",
       "      <td>144</td>\n",
       "      <td>168</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>wsbs</td>\n",
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       "      <td>173</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>150</td>\n",
       "      <td>174</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>brevipalpa</td>\n",
       "      <td>151</td>\n",
       "      <td>170</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>152</td>\n",
       "      <td>177</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>brevipalpa</td>\n",
       "      <td>80</td>\n",
       "      <td>99</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>80</td>\n",
       "      <td>102</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2</td>\n",
       "      <td>wsbs</td>\n",
       "      <td>80</td>\n",
       "      <td>101</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2</td>\n",
       "      <td>websteri</td>\n",
       "      <td>81</td>\n",
       "      <td>102</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    orfan    organism  start  end          domen\n",
       "0       1        wsbs      5   27  TRANSMEMBRANE\n",
       "1       1     hoplura      6   28  TRANSMEMBRANE\n",
       "2       1    websteri      6   28  TRANSMEMBRANE\n",
       "3       1  brevipalpa     12   36  TRANSMEMBRANE\n",
       "4       1  bocardiela     13   39  TRANSMEMBRANE\n",
       "5       1        wsbs     40   57  TRANSMEMBRANE\n",
       "6       1    websteri     41   58  TRANSMEMBRANE\n",
       "7       1     hoplura     41   67  TRANSMEMBRANE\n",
       "8       1  brevipalpa     42   75  TRANSMEMBRANE\n",
       "9       1  bocardiela     45   76  TRANSMEMBRANE\n",
       "10      1        wsbs     63   79  TRANSMEMBRANE\n",
       "11      1    websteri     64   83  TRANSMEMBRANE\n",
       "12      1     hoplura     87  104  TRANSMEMBRANE\n",
       "13      1        wsbs    114  138  TRANSMEMBRANE\n",
       "14      1  bocardiela    118  138  TRANSMEMBRANE\n",
       "15      1     hoplura    125  144  TRANSMEMBRANE\n",
       "16      1  brevipalpa    125  145  TRANSMEMBRANE\n",
       "17      1    websteri    126  146  TRANSMEMBRANE\n",
       "18      1  bocardiela    144  168  TRANSMEMBRANE\n",
       "19      1        wsbs    144  173  TRANSMEMBRANE\n",
       "20      1     hoplura    150  174  TRANSMEMBRANE\n",
       "21      1  brevipalpa    151  170  TRANSMEMBRANE\n",
       "22      1    websteri    152  177  TRANSMEMBRANE\n",
       "23      2  brevipalpa     80   99  TRANSMEMBRANE\n",
       "24      2     hoplura     80  102  TRANSMEMBRANE\n",
       "25      2        wsbs     80  101  TRANSMEMBRANE\n",
       "26      2    websteri     81  102  TRANSMEMBRANE"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmds = pd.read_csv(\"./domain.csv\")\n",
    "tmds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "27c28ca3",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>orfan</th>\n",
       "      <th>organism</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
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       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>WSBS $Polydora$</td>\n",
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       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ hoplura$</td>\n",
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       "      <th>2</th>\n",
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       "      <th>3</th>\n",
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       "      <td>brevipalpa</td>\n",
       "      <td>12</td>\n",
       "      <td>36</td>\n",
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       "      <th>4</th>\n",
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       "      <td>13</td>\n",
       "      <td>39</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
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       "      <th>5</th>\n",
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       "      <td>57</td>\n",
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       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
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       "      <td>58</td>\n",
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       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>41</td>\n",
       "      <td>67</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ hoplura$</td>\n",
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       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>brevipalpa</td>\n",
       "      <td>42</td>\n",
       "      <td>75</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ brevipalpa$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>bocardiela</td>\n",
       "      <td>45</td>\n",
       "      <td>76</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Bocardiela\\ hamata$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>wsbs</td>\n",
       "      <td>63</td>\n",
       "      <td>79</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>WSBS $Polydora$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>64</td>\n",
       "      <td>83</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ websteri$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>87</td>\n",
       "      <td>104</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ hoplura$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>wsbs</td>\n",
       "      <td>114</td>\n",
       "      <td>138</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>WSBS $Polydora$</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>bocardiela</td>\n",
       "      <td>118</td>\n",
       "      <td>138</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Bocardiela\\ hamata$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>125</td>\n",
       "      <td>144</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ hoplura$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>brevipalpa</td>\n",
       "      <td>125</td>\n",
       "      <td>145</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ brevipalpa$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>126</td>\n",
       "      <td>146</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ websteri$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>bocardiela</td>\n",
       "      <td>144</td>\n",
       "      <td>168</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Bocardiela\\ hamata$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>wsbs</td>\n",
       "      <td>144</td>\n",
       "      <td>173</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>WSBS $Polydora$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>150</td>\n",
       "      <td>174</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ hoplura$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>brevipalpa</td>\n",
       "      <td>151</td>\n",
       "      <td>170</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ brevipalpa$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>websteri</td>\n",
       "      <td>152</td>\n",
       "      <td>177</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ websteri$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2</td>\n",
       "      <td>brevipalpa</td>\n",
       "      <td>80</td>\n",
       "      <td>99</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ brevipalpa$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2</td>\n",
       "      <td>hoplura</td>\n",
       "      <td>80</td>\n",
       "      <td>102</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ hoplura$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2</td>\n",
       "      <td>wsbs</td>\n",
       "      <td>80</td>\n",
       "      <td>101</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>WSBS $Polydora$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2</td>\n",
       "      <td>websteri</td>\n",
       "      <td>81</td>\n",
       "      <td>102</td>\n",
       "      <td>TRANSMEMBRANE</td>\n",
       "      <td>$Polydora\\ websteri$</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    orfan    organism  start  end          domen                 species\n",
       "0       1        wsbs      5   27  TRANSMEMBRANE         WSBS $Polydora$\n",
       "1       1     hoplura      6   28  TRANSMEMBRANE     $Polydora\\ hoplura$\n",
       "2       1    websteri      6   28  TRANSMEMBRANE    $Polydora\\ websteri$\n",
       "3       1  brevipalpa     12   36  TRANSMEMBRANE  $Polydora\\ brevipalpa$\n",
       "4       1  bocardiela     13   39  TRANSMEMBRANE    $Bocardiela\\ hamata$\n",
       "5       1        wsbs     40   57  TRANSMEMBRANE         WSBS $Polydora$\n",
       "6       1    websteri     41   58  TRANSMEMBRANE    $Polydora\\ websteri$\n",
       "7       1     hoplura     41   67  TRANSMEMBRANE     $Polydora\\ hoplura$\n",
       "8       1  brevipalpa     42   75  TRANSMEMBRANE  $Polydora\\ brevipalpa$\n",
       "9       1  bocardiela     45   76  TRANSMEMBRANE    $Bocardiela\\ hamata$\n",
       "10      1        wsbs     63   79  TRANSMEMBRANE         WSBS $Polydora$\n",
       "11      1    websteri     64   83  TRANSMEMBRANE    $Polydora\\ websteri$\n",
       "12      1     hoplura     87  104  TRANSMEMBRANE     $Polydora\\ hoplura$\n",
       "13      1        wsbs    114  138  TRANSMEMBRANE         WSBS $Polydora$\n",
       "14      1  bocardiela    118  138  TRANSMEMBRANE    $Bocardiela\\ hamata$\n",
       "15      1     hoplura    125  144  TRANSMEMBRANE     $Polydora\\ hoplura$\n",
       "16      1  brevipalpa    125  145  TRANSMEMBRANE  $Polydora\\ brevipalpa$\n",
       "17      1    websteri    126  146  TRANSMEMBRANE    $Polydora\\ websteri$\n",
       "18      1  bocardiela    144  168  TRANSMEMBRANE    $Bocardiela\\ hamata$\n",
       "19      1        wsbs    144  173  TRANSMEMBRANE         WSBS $Polydora$\n",
       "20      1     hoplura    150  174  TRANSMEMBRANE     $Polydora\\ hoplura$\n",
       "21      1  brevipalpa    151  170  TRANSMEMBRANE  $Polydora\\ brevipalpa$\n",
       "22      1    websteri    152  177  TRANSMEMBRANE    $Polydora\\ websteri$\n",
       "23      2  brevipalpa     80   99  TRANSMEMBRANE  $Polydora\\ brevipalpa$\n",
       "24      2     hoplura     80  102  TRANSMEMBRANE     $Polydora\\ hoplura$\n",
       "25      2        wsbs     80  101  TRANSMEMBRANE         WSBS $Polydora$\n",
       "26      2    websteri     81  102  TRANSMEMBRANE    $Polydora\\ websteri$"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SPECIES_DICT = {\"wsbs\": \"WSBS $Polydora$\",\n",
    "                \"hoplura\": \"$Polydora\\ hoplura$\",\n",
    "                \"websteri\": \"$Polydora\\ websteri$\",\n",
    "                \"brevipalpa\": \"$Polydora\\ brevipalpa$\",\n",
    "                \"bocardiela\": \"$Bocardiela\\ hamata$\"}\n",
    "\n",
    "INVERSE_SPECIES_DICT = {v: k for k, v in SPECIES_DICT.items()}\n",
    "\n",
    "tmds[\"species\"] = tmds[\"organism\"].map(SPECIES_DICT)\n",
    "tmds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cf36f2a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "titles = {\"ORFan1\": orfan1,\n",
    "          \"ORFan2\": orfan2,\n",
    "          \"ORFan3\": orfan3,\n",
    "          \"NAD6\": nad6,\n",
    "          \"CO1\": co1}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70f8348d-51a4-429f-b5ac-27181c0f766e",
   "metadata": {},
   "source": [
    "parsing files of hydrophobicity profile "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a907439c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_weird(path):\n",
    "    with open(path, \"rt\") as file:\n",
    "        dat = dict()\n",
    "        for line in file:\n",
    "            pos, score = re.match(r\"Position:\\s+(\\d+)\\s+Score:\\s*([^\\s]+)\\s*\", line).group(1, 2)\n",
    "            pos = int(pos)\n",
    "            score = float(score)\n",
    "            dat[pos] = score\n",
    "    return pd.Series(dat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1348d39b",
   "metadata": {},
   "outputs": [],
   "source": [
    "supdata = {\n",
    "    1: {\n",
    "        \"wsbs\": load_weird(\"./1wsbsparse.txt\"),\n",
    "        \"hoplura\": load_weird(\"./1hoppars.txt\"),\n",
    "        \"websteri\": load_weird(\"./1webpars.txt\"),\n",
    "        \"brevipalpa\": load_weird(\"./1polbrepars.txt\"),\n",
    "        \"bocardiela\": load_weird(\"./1bocardpars.txt\")\n",
    "    },\n",
    "    2: {\n",
    "        \"wsbs\": load_weird(\"./2parswsbs.txt\"),\n",
    "        \"hoplura\": load_weird(\"./2parshop.txt\"),\n",
    "        \"websteri\": load_weird(\"./2parspolweb.txt\"),\n",
    "        \"brevipalpa\": load_weird(\"./2brevpars.txt\"),\n",
    "        \"bocardiela\": load_weird(\"./2bocardpars.txt\")\n",
    "    },\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5e568896",
   "metadata": {},
   "outputs": [],
   "source": [
    "STEP = 1\n",
    "COLORS = [\"#819F00\", \"#BF9B30\", \"#A62F00\", \"#25567B\", \"#710067\"]\n",
    "\n",
    "color_map = mpl.colors.LinearSegmentedColormap(\n",
    "    \"my_map\",\n",
    "    {\n",
    "        \"red\": [(0, 1.0, 1.0),\n",
    "                (1.0, .5, .5)],\n",
    "        \"green\": [(0, 0.5, 0.5),\n",
    "                  (1.0, 0, 0)],\n",
    "        \"blue\": [(0, 0.50, 0.5),\n",
    "                 (1.0, 0, 0)]\n",
    "    }\n",
    ")\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "72bf5d69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(7, 1, figsize=(20, len(titles) * 2), sharex=True, gridspec_kw=dict(height_ratios=[1, 3, 1, 3, 1, 1, 1]))\n",
    "axes_plots = axes.ravel()[[0, 2, 4, 5, 6]]\n",
    "axes_domains = axes.ravel()[[1, 3]]\n",
    "plt.rcParams['font.size'] = '11'\n",
    "for i, ((title, data), ax) in enumerate(zip(titles.items(), axes_plots), 0):\n",
    "    limit = data.max()\n",
    "    agg = data.copy()\n",
    "    for roll_step in range(1, STEP):\n",
    "        agg += np.roll(data, roll_step)\n",
    "    agg = agg[STEP::STEP] / (limit * STEP) * 100\n",
    "    agg = np.array(agg)\n",
    "    x_coords = np.arange(1, data.shape[0] - STEP + 1, STEP)\n",
    "    data_normalizer = mpl.colors.Normalize()\n",
    "    color_map = mpl.colors.LinearSegmentedColormap.from_list(\"my_map\", [\"#eeeeee\", COLORS[i]])\n",
    "    color_agg = color_map(data_normalizer(agg))\n",
    "    ax.bar(x_coords, agg, width=STEP, align=\"center\", color=color_agg, linewidth=0.5, edgecolor=COLORS[i])\n",
    "\n",
    "           #color=COLORS[i])\n",
    "    ax.set_xlim(0, x_coords[-1])\n",
    "    ax.set_ylabel(title)\n",
    "\n",
    "# Domain architecture 1\n",
    "rect_h = 0.5\n",
    "rect_text = \"TMD\"\n",
    "for i, ax in enumerate(axes_domains, 1):\n",
    "    data_domain = tmds[tmds[\"orfan\"] == i]\n",
    "    uniq_sp = data_domain[\"species\"].nunique()\n",
    "    rectangles = list()\n",
    "    species_names = list()\n",
    "    y_ticks = np.linspace(1, uniq_sp, uniq_sp)\n",
    "    colormap = mpl.colors.LinearSegmentedColormap.from_list(\"my_map\", [\"#eeeeee\", COLORS[i - 1]])\n",
    "    color_edge = COLORS[i - 1]\n",
    "    color_face = colormap(0.6)\n",
    "    #print(color_edge, color_face)\n",
    "    for (species, subdata), y_coord in zip(data_domain.groupby(\"species\"), y_ticks):\n",
    "        species_names.append(species)\n",
    "        for _, row in subdata.iterrows():\n",
    "            # row contains info about a rectangle\n",
    "            rect_x = row[\"end\"]\n",
    "            rect_y = y_coord - rect_h / 2\n",
    "            rect_w = row[\"start\"] - row[\"end\"]\n",
    "            rect = mpl.patches.Rectangle((rect_x, rect_y), rect_w, rect_h,\n",
    "                                         facecolor=color_face, edgecolor=color_edge)\n",
    "            rectangles.append(rect)\n",
    "    \n",
    "    for species, y_coord in zip(species_names, y_ticks):\n",
    "        code = INVERSE_SPECIES_DICT[species]\n",
    "        data = supdata[i][code]\n",
    "        # -1 - 1 scaling, preserving 0:\n",
    "        data = data / data.abs().max()\n",
    "        # 0 - 1 scaling:\n",
    "        #data = (data - data.min()) / (data.max() - data.min())\n",
    "        data /= 2\n",
    "        data += y_coord\n",
    "        ax.plot(data.index, data.values, color=\"k\")\n",
    "    \n",
    "    for y in y_ticks:\n",
    "        ax.axhline(y, color=\"k\", lw=1, zorder=-10)\n",
    "    \n",
    "    for rect in rectangles:\n",
    "        ax.add_artist(rect)\n",
    "        rect_x, rect_y = rect.get_xy()\n",
    "        text_x = rect_x + rect.get_width() / 2.0\n",
    "        text_y = rect_y + rect.get_height() / 2.0\n",
    "        ax.annotate(rect_text, (text_x, text_y), color='w', weight='bold',\n",
    "                    fontsize=6, ha='center', va='center')\n",
    "    \n",
    "    ax.set_ylim(1 - rect_h, uniq_sp + rect_h)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['bottom'].set_visible(False)\n",
    "    ax.spines['left'].set_visible(False)\n",
    "    #ax.get_xaxis().set_ticks([])\n",
    "    ax.get_yaxis().set_ticks(y_ticks, species_names)\n",
    "    \n",
    "        \n",
    "\n",
    "\n",
    "\n",
    "plt.suptitle(f\"Conservation of positions, averaged in window of {STEP}\" if STEP != 1 else f\"Raw conservation of positions\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"all_step={STEP}.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd1c104e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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