analyze_seqs_stats.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "49bd8ded-6475-49f8-980e-a432c63e2f8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from Bio import SeqIO\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b2c9849d-dd21-4cc1-8c7e-f0d145cb1a9e",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>seq_name</th>\n",
       "      <th>len_in_nucleotides</th>\n",
       "      <th>diff_in_nucleotides</th>\n",
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      "text/plain": [
       "        Unnamed: 0                                           seq_name  \\\n",
       "76192        76192  ENST00000316603.12|ENSG00000168259.17|OTTHUMG0...   \n",
       "135478      135478  ENST00000697004.1|ENSG00000142687.19|OTTHUMG00...   \n",
       "110758      110758  ENST00000395679.3|ENSG00000213690.3|OTTHUMG000...   \n",
       "\n",
       "        len_in_nucleotides  diff_in_nucleotides  diff_in_amino_acids  \\\n",
       "76192                 1713                   17                   15   \n",
       "135478                4319                   43                   23   \n",
       "110758                 510                    5                    4   \n",
       "\n",
       "        diff_in_tokens  len_in_tokens_mutated  len_in_tokens_true  \n",
       "76192              283                    346                 349  \n",
       "135478             244                    512                 512  \n",
       "110758              58                    107                 106  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_stats = pd.read_csv('train_stats.csv')\n",
    "train_stats.sample(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "89aca4d0-4777-4030-a1d5-a52d906daaa3",
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   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>seq_name</th>\n",
       "      <th>len_in_nucleotides</th>\n",
       "      <th>diff_in_nucleotides</th>\n",
       "      <th>diff_in_amino_acids</th>\n",
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       "<p>203256 rows × 8 columns</p>\n",
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      ],
      "text/plain": [
       "        Unnamed: 0                                           seq_name  \\\n",
       "0                0  ENST00000610331.1|ENSG00000276334.1|OTTHUMG000...   \n",
       "1                1  ENST00000609885.1|ENSG00000237054.9|OTTHUMG000...   \n",
       "2                2  ENST00000398238.8|ENSG00000073969.19|OTTHUMG00...   \n",
       "3                3  ENST00000531439.5|ENSG00000137693.14|OTTHUMG00...   \n",
       "4                4  ENST00000678821.1|ENSG00000104218.16|OTTHUMG00...   \n",
       "...            ...                                                ...   \n",
       "203251      203251  ENST00000527837.1|ENSG00000254455.1|OTTHUMG000...   \n",
       "203252      203252  ENST00000493812.2|ENSG00000223776.5|OTTHUMG000...   \n",
       "203253      203253  ENST00000486291.1|ENSG00000115993.13|OTTHUMG00...   \n",
       "203254      203254  ENST00000689140.2|ENSG00000281103.4|OTTHUMG000...   \n",
       "203255      203255  ENST00000459976.2|ENSG00000177479.20|OTTHUMG00...   \n",
       "\n",
       "        len_in_nucleotides  diff_in_nucleotides  diff_in_amino_acids  \\\n",
       "0                     1621                   16                   12   \n",
       "1                      858                    8                    7   \n",
       "2                     3983                   39                   30   \n",
       "3                     1490                   14                   12   \n",
       "4                     3199                   31                   24   \n",
       "...                    ...                  ...                  ...   \n",
       "203251                 282                    2                    2   \n",
       "203252                1430                   14                   11   \n",
       "203253                 883                    8                    6   \n",
       "203254                 482                    4                    4   \n",
       "203255                 432                    4                    1   \n",
       "\n",
       "        diff_in_tokens  len_in_tokens_mutated  len_in_tokens_true  \n",
       "0                  200                    310                 311  \n",
       "1                   13                    171                 171  \n",
       "2                  337                    512                 512  \n",
       "3                  265                    304                 302  \n",
       "4                  475                    512                 512  \n",
       "...                ...                    ...                 ...  \n",
       "203251               2                     62                  62  \n",
       "203252             240                    297                 294  \n",
       "203253              35                    182                 181  \n",
       "203254              58                    100                  98  \n",
       "203255              82                     89                  85  \n",
       "\n",
       "[203256 rows x 8 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "162b0ce1-7648-40fc-9d34-efc5c3a5295c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='DNA sequnce length', ylabel='number of SNP mutations'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_stats.plot.scatter(x='len_in_nucleotides', y='diff_in_nucleotides', alpha=0.1, xlabel='DNA sequnce length', ylabel='number of SNP mutations',ylim=(-10,500), xlim=(-1000,50_000))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6e5d1601-ea51-4ef5-b500-74201fcf65a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    203256.000000\n",
       "mean         16.983179\n",
       "std          22.292453\n",
       "min           0.000000\n",
       "25%           5.000000\n",
       "50%           9.000000\n",
       "75%          22.000000\n",
       "max        3475.000000\n",
       "Name: diff_in_nucleotides, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_stats.diff_in_nucleotides.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "92c0bc0e-9e8f-456a-b116-3bb38629fb68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='number of SNP mutations', ylabel='number of tokens changed'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_stats.plot.scatter(x='diff_in_nucleotides', y='diff_in_tokens', alpha=0.005, xlim=(-10,500), xlabel='number of SNP mutations', ylabel='number of tokens changed', color='red') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "112a6119-05eb-4ed5-ab28-fe53c6417d80",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5c226cf5-0833-4356-bc5d-2db731f4e46d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='length in tokens', ylabel='diff_in_tokens'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_stats.plot.scatter(x='len_in_tokens_true', y='diff_in_tokens', alpha=0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "082294f6-6c28-4199-9710-cf1b909c989e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='diff_in_nucleotides', ylabel='diff_in_amino_acids'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_stats.plot.scatter(x='diff_in_nucleotides', y='diff_in_amino_acids', alpha=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "75f185b3-b71c-421c-a672-c811004e4b01",
   "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>Unnamed: 0</th>\n",
       "      <th>seq_name</th>\n",
       "      <th>len_in_nucleotides</th>\n",
       "      <th>diff_in_nucleotides</th>\n",
       "      <th>diff_in_amino_acids</th>\n",
       "      <th>diff_in_tokens</th>\n",
       "      <th>len_in_tokens_mutated</th>\n",
       "      <th>len_in_tokens_true</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>147</td>\n",
       "      <td>ENST00000650361.1|ENSG00000285912.1|-|-|5S_rRN...</td>\n",
       "      <td>119</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>459</td>\n",
       "      <td>ENST00000528546.1|ENSG00000255037.1|OTTHUMG000...</td>\n",
       "      <td>258</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>54</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>725</td>\n",
       "      <td>ENST00000516528.1|ENSG00000252337.1|-|-|ENST00...</td>\n",
       "      <td>139</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>842</th>\n",
       "      <td>842</td>\n",
       "      <td>ENST00000602325.1|ENSG00000269970.1|OTTHUMG000...</td>\n",
       "      <td>221</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>864</td>\n",
       "      <td>ENST00000678079.1|ENSG00000183735.11|OTTHUMG00...</td>\n",
       "      <td>234</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202558</th>\n",
       "      <td>202558</td>\n",
       "      <td>ENST00000635931.1|ENSG00000101901.13|OTTHUMG00...</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202639</th>\n",
       "      <td>202639</td>\n",
       "      <td>ENST00000411095.1|ENSG00000223027.1|-|-|ENST00...</td>\n",
       "      <td>141</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202755</th>\n",
       "      <td>202755</td>\n",
       "      <td>ENST00000411164.1|ENSG00000223096.1|-|-|RNU5E-...</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202765</th>\n",
       "      <td>202765</td>\n",
       "      <td>ENST00000603299.1|ENSG00000270321.2|OTTHUMG000...</td>\n",
       "      <td>193</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202925</th>\n",
       "      <td>202925</td>\n",
       "      <td>ENST00000408479.1|ENSG00000221406.1|-|-|MIR320...</td>\n",
       "      <td>138</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1574 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0                                           seq_name  \\\n",
       "147            147  ENST00000650361.1|ENSG00000285912.1|-|-|5S_rRN...   \n",
       "459            459  ENST00000528546.1|ENSG00000255037.1|OTTHUMG000...   \n",
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       "864            864  ENST00000678079.1|ENSG00000183735.11|OTTHUMG00...   \n",
       "...            ...                                                ...   \n",
       "202558      202558  ENST00000635931.1|ENSG00000101901.13|OTTHUMG00...   \n",
       "202639      202639  ENST00000411095.1|ENSG00000223027.1|-|-|ENST00...   \n",
       "202755      202755  ENST00000411164.1|ENSG00000223096.1|-|-|RNU5E-...   \n",
       "202765      202765  ENST00000603299.1|ENSG00000270321.2|OTTHUMG000...   \n",
       "202925      202925  ENST00000408479.1|ENSG00000221406.1|-|-|MIR320...   \n",
       "\n",
       "        len_in_nucleotides  diff_in_nucleotides  diff_in_amino_acids  \\\n",
       "147                    119                    1                    0   \n",
       "459                    258                    2                    0   \n",
       "725                    139                    1                    0   \n",
       "842                    221                    2                    0   \n",
       "864                    234                    2                    0   \n",
       "...                    ...                  ...                  ...   \n",
       "202558                 100                    1                    0   \n",
       "202639                 141                    1                    0   \n",
       "202755                 104                    1                    0   \n",
       "202765                 193                    1                    0   \n",
       "202925                 138                    1                    0   \n",
       "\n",
       "        diff_in_tokens  len_in_tokens_mutated  len_in_tokens_true  \n",
       "147                  1                     27                  27  \n",
       "459                 22                     54                  55  \n",
       "725                  1                     29                  29  \n",
       "842                  3                     43                  43  \n",
       "864                  6                     48                  48  \n",
       "...                ...                    ...                 ...  \n",
       "202558               2                     23                  23  \n",
       "202639               1                     31                  31  \n",
       "202755               2                     25                  25  \n",
       "202765              37                     40                  41  \n",
       "202925               3                     30                  30  \n",
       "\n",
       "[1574 rows x 8 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_stats[(train_stats.diff_in_amino_acids==0) & (train_stats.diff_in_nucleotides!=0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "496b96f6-b252-46b1-b9bd-3038faaabb05",
   "metadata": {},
   "outputs": [
    {
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       "      <td>ENST00000398238.8|ENSG00000073969.19|OTTHUMG00...</td>\n",
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       "      <td>39</td>\n",
       "      <td>30</td>\n",
       "      <td>337</td>\n",
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       "      <td>31</td>\n",
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       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>178</td>\n",
       "      <td>178</td>\n",
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       "    <tr>\n",
       "      <th>203249</th>\n",
       "      <td>203249</td>\n",
       "      <td>ENST00000511912.6|ENSG00000171503.13|OTTHUMG00...</td>\n",
       "      <td>3111</td>\n",
       "      <td>31</td>\n",
       "      <td>25</td>\n",
       "      <td>341</td>\n",
       "      <td>512</td>\n",
       "      <td>512</td>\n",
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       "      <th>203252</th>\n",
       "      <td>203252</td>\n",
       "      <td>ENST00000493812.2|ENSG00000223776.5|OTTHUMG000...</td>\n",
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       "      <td>294</td>\n",
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       "      <td>ENST00000486291.1|ENSG00000115993.13|OTTHUMG00...</td>\n",
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      ],
      "text/plain": [
       "        Unnamed: 0                                           seq_name  \\\n",
       "0                0  ENST00000610331.1|ENSG00000276334.1|OTTHUMG000...   \n",
       "1                1  ENST00000609885.1|ENSG00000237054.9|OTTHUMG000...   \n",
       "2                2  ENST00000398238.8|ENSG00000073969.19|OTTHUMG00...   \n",
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       "203249      203249  ENST00000511912.6|ENSG00000171503.13|OTTHUMG00...   \n",
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       "203253      203253  ENST00000486291.1|ENSG00000115993.13|OTTHUMG00...   \n",
       "203255      203255  ENST00000459976.2|ENSG00000177479.20|OTTHUMG00...   \n",
       "\n",
       "        len_in_nucleotides  diff_in_nucleotides  diff_in_amino_acids  \\\n",
       "0                     1621                   16                   12   \n",
       "1                      858                    8                    7   \n",
       "2                     3983                   39                   30   \n",
       "3                     1490                   14                   12   \n",
       "4                     3199                   31                   24   \n",
       "...                    ...                  ...                  ...   \n",
       "203248                 920                    9                    6   \n",
       "203249                3111                   31                   25   \n",
       "203252                1430                   14                   11   \n",
       "203253                 883                    8                    6   \n",
       "203255                 432                    4                    1   \n",
       "\n",
       "        diff_in_tokens  len_in_tokens_mutated  len_in_tokens_true  \n",
       "0                  200                    310                 311  \n",
       "1                   13                    171                 171  \n",
       "2                  337                    512                 512  \n",
       "3                  265                    304                 302  \n",
       "4                  475                    512                 512  \n",
       "...                ...                    ...                 ...  \n",
       "203248              15                    178                 178  \n",
       "203249             341                    512                 512  \n",
       "203252             240                    297                 294  \n",
       "203253              35                    182                 181  \n",
       "203255              82                     89                  85  \n",
       "\n",
       "[175982 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_stats[train_stats.diff_in_nucleotides > train_stats.diff_in_amino_acids]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4c499f7f-8aca-49d0-bd67-e162d64fb0ab",
   "metadata": {},
   "outputs": [
    {
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       "      <td>5</td>\n",
       "      <td>67</td>\n",
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       "      <th>203222</th>\n",
       "      <td>203222</td>\n",
       "      <td>ENST00000615072.1|ENSG00000277001.1|-|-|Metazo...</td>\n",
       "      <td>282</td>\n",
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       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>51</td>\n",
       "      <td>50</td>\n",
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       "      <th>203250</th>\n",
       "      <td>203250</td>\n",
       "      <td>ENST00000462060.1|ENSG00000101928.13|OTTHUMG00...</td>\n",
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       "      <td>ENST00000689140.2|ENSG00000281103.4|OTTHUMG000...</td>\n",
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      ],
      "text/plain": [
       "        Unnamed: 0                                           seq_name  \\\n",
       "19              19  ENST00000560307.5|ENSG00000131876.18|OTTHUMG00...   \n",
       "23              23  ENST00000566267.1|ENSG00000005844.19|OTTHUMG00...   \n",
       "41              41  ENST00000431388.3|ENSG00000224877.4|OTTHUMG000...   \n",
       "45              45  ENST00000562868.1|ENSG00000180979.10|OTTHUMG00...   \n",
       "56              56  ENST00000570455.1|ENSG00000198920.11|OTTHUMG00...   \n",
       "...            ...                                                ...   \n",
       "203217      203217  ENST00000531682.1|ENSG00000149428.21|OTTHUMG00...   \n",
       "203222      203222  ENST00000615072.1|ENSG00000277001.1|-|-|Metazo...   \n",
       "203250      203250  ENST00000462060.1|ENSG00000101928.13|OTTHUMG00...   \n",
       "203251      203251  ENST00000527837.1|ENSG00000254455.1|OTTHUMG000...   \n",
       "203254      203254  ENST00000689140.2|ENSG00000281103.4|OTTHUMG000...   \n",
       "\n",
       "        len_in_nucleotides  diff_in_nucleotides  diff_in_amino_acids  \\\n",
       "19                     433                    4                    4   \n",
       "23                     537                    5                    5   \n",
       "41                     565                    5                    5   \n",
       "45                     531                    5                    5   \n",
       "56                     447                    4                    4   \n",
       "...                    ...                  ...                  ...   \n",
       "203217                 319                    3                    3   \n",
       "203222                 282                    2                    2   \n",
       "203250                 574                    5                    5   \n",
       "203251                 282                    2                    2   \n",
       "203254                 482                    4                    4   \n",
       "\n",
       "        diff_in_tokens  len_in_tokens_mutated  len_in_tokens_true  \n",
       "19                  27                     89                  90  \n",
       "23                   9                    113                 113  \n",
       "41                   9                    120                 120  \n",
       "45                  80                    108                 106  \n",
       "56                  74                     91                  90  \n",
       "...                ...                    ...                 ...  \n",
       "203217               5                     67                  67  \n",
       "203222               6                     51                  50  \n",
       "203250               9                    114                 114  \n",
       "203251               2                     62                  62  \n",
       "203254              58                    100                  98  \n",
       "\n",
       "[27274 rows x 8 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_stats[train_stats.diff_in_nucleotides == train_stats.diff_in_amino_acids]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "225945dc-c7da-44a6-b6dd-c5bbc021277f",
   "metadata": {},
   "source": [
    "# Filter train, test and validation to keep only sequences with diff in nucleotides==diff in tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5e925982-98dc-4495-84a4-55d24c025a3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(203256, 974, 0.004791986460424292)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_stats), len(set(stats[stats.diff_in_tokens == stats.diff_in_nucleotides].index)), len(set(stats[stats.diff_in_tokens == stats.diff_in_nucleotides].index))/len(train_stats)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ace4f637-dbc9-4520-9bff-85a481e5adbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "def filter_fasta_by_set_of_indices(in_fasta, out_fasta, set_of_indices):\n",
    "    records = [seq for i,seq in enumerate(SeqIO.parse(in_fasta, \"fasta\")) if i in set_of_indices]\n",
    "    SeqIO.write(records, out_fasta, \"fasta\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e1346c66-0ed8-4691-ba05-5743ed8a02f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train\n",
      "val\n",
      "test\n"
     ]
    }
   ],
   "source": [
    "path_pattern = '/sci/backup/morani/lab/Projects/mutations_detection_temp/data/{dataset}_{in_or_labels}.fasta'\n",
    "for dataset in ['train', 'val', 'test']: \n",
    "    print(dataset)\n",
    "    stats = pd.read_csv(f'{dataset}_stats.csv')\n",
    "    simple_cases = set(stats[stats.diff_in_tokens == stats.diff_in_nucleotides].index)\n",
    "    for in_or_labels in ['input', 'labels']:\n",
    "        filter_fasta_by_set_of_indices(path_pattern.format(dataset=dataset,in_or_labels=in_or_labels),\n",
    "                                       path_pattern.format(dataset='simple_' + dataset,in_or_labels=in_or_labels),\n",
    "                                       simple_cases)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90a0ad65-f607-4b43-b132-5aace14c0839",
   "metadata": {},
   "source": [
    "# create fine tuning datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "21adde33-c24e-4357-b0aa-efdb92c84861",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train\n"
     ]
    }
   ],
   "source": [
    "## create fine tuning datasets\n",
    "in_fasta = '/sci/backup/morani/lab/Projects/mutations_detection_temp/data/{dataset}_input.fasta'\n",
    "out_csv = '/sci/backup/morani/lab/Projects/mutations_detection_temp/data/{dataset}_{in_or_labels}.fasta'\n",
    "\n",
    "for dataset in ['train', 'val', 'test']: \n",
    "    print(dataset)\n",
    "    stats = pd.read_csv(f'{dataset}_stats.csv')\n",
    "    diff_in_nucs = stats.diff_in_nucleotides.tolist()\n",
    "    seqs = [str(seq) for seq in SeqIO.parse(in_fasta.forma(), \"fasta\")]\n",
    "    pd.DataFrame({'sequence':seqs, 'label':diff_in_nucs}).to_csv(out_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d8b2232e-f334-4843-9e65-f638f4d7589c",
   "metadata": {},
   "outputs": [
    {
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       "      <th>seq_name</th>\n",
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       "      <th>len_in_tokens_true</th>\n",
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       "        Unnamed: 0                                           seq_name  \\\n",
       "66              66  ENST00000581190.1|ENSG00000265993.1|-|-|MIR569...   \n",
       "124            124  ENST00000385128.1|ENSG00000207863.1|-|-|MIR125...   \n",
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       "202953      202953  ENST00000383952.1|ENSG00000206679.1|-|-|Y_RNA....   \n",
       "203092      203092  ENST00000628177.1|ENSG00000281010.1|-|-|ENST00...   \n",
       "\n",
       "        len_in_nucleotides  diff_in_nucleotides  diff_in_amino_acids  \\\n",
       "66                      76                    0                    0   \n",
       "124                     89                    0                    0   \n",
       "250                     97                    0                    0   \n",
       "412                     80                    0                    0   \n",
       "501                     63                    0                    0   \n",
       "...                    ...                  ...                  ...   \n",
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       "202945                  42                    0                    0   \n",
       "202953                  99                    0                    0   \n",
       "203092                  80                    0                    0   \n",
       "\n",
       "        diff_in_tokens  len_in_tokens_mutated  len_in_tokens_true  \n",
       "66                   0                     19                  19  \n",
       "124                  0                     21                  21  \n",
       "250                  0                     22                  22  \n",
       "412                  0                     19                  19  \n",
       "501                  0                     15                  15  \n",
       "...                ...                    ...                 ...  \n",
       "202800               0                     18                  18  \n",
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       "202945               0                     14                  14  \n",
       "202953               0                     20                  20  \n",
       "203092               0                     21                  21  \n",
       "\n",
       "[2446 rows x 8 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[stats.diff_in_nucleotides==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7a924e54-7c5f-4372-9056-5101751ef1f3",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "        Unnamed: 0                                           seq_name  \\\n",
       "0                0  ENST00000610331.1|ENSG00000276334.1|OTTHUMG000...   \n",
       "1                1  ENST00000609885.1|ENSG00000237054.9|OTTHUMG000...   \n",
       "2                2  ENST00000398238.8|ENSG00000073969.19|OTTHUMG00...   \n",
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       "203253      203253  ENST00000486291.1|ENSG00000115993.13|OTTHUMG00...   \n",
       "203254      203254  ENST00000689140.2|ENSG00000281103.4|OTTHUMG000...   \n",
       "203255      203255  ENST00000459976.2|ENSG00000177479.20|OTTHUMG00...   \n",
       "\n",
       "        len_in_nucleotides  diff_in_nucleotides  diff_in_amino_acids  \\\n",
       "0                     1621                   16                   12   \n",
       "1                      858                    8                    7   \n",
       "2                     3983                   39                   30   \n",
       "3                     1490                   14                   12   \n",
       "4                     3199                   31                   24   \n",
       "...                    ...                  ...                  ...   \n",
       "203251                 282                    2                    2   \n",
       "203252                1430                   14                   11   \n",
       "203253                 883                    8                    6   \n",
       "203254                 482                    4                    4   \n",
       "203255                 432                    4                    1   \n",
       "\n",
       "        diff_in_tokens  len_in_tokens_mutated  len_in_tokens_true  \n",
       "0                  200                    310                 311  \n",
       "1                   13                    171                 171  \n",
       "2                  337                    512                 512  \n",
       "3                  265                    304                 302  \n",
       "4                  475                    512                 512  \n",
       "...                ...                    ...                 ...  \n",
       "203251               2                     62                  62  \n",
       "203252             240                    297                 294  \n",
       "203253              35                    182                 181  \n",
       "203254              58                    100                  98  \n",
       "203255              82                     89                  85  \n",
       "\n",
       "[200810 rows x 8 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[stats.diff_in_nucleotides>0]"
   ]
  }
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