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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- conda create -n rnaseq -c conda-forge python=3.7 numpy pandas matplotlib seaborn\n",
"- conda activate (or source activate) rnaseq\n",
"- conda install -c conda-forge jupyter\n",
"- pip install matplotlib_venn"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- First create a python environment named rnaseq with default channel conda-forge using python 3.7 and installing the packages numpy pandas matplotlib and seaborn\n",
"- Activate the environment\n",
"- Install jupyter in the environment\n",
"- install matplotlib_venn in the environment"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now just type \n",
"\n",
"jupyter notebook \n",
"\n",
"in the command line and it should bring up a page where you can create or view notebooks in the folder you're working in."
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 504x72 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Here we import the necessary modules\n",
"# and set up the plotting environment (matplotlib)\n",
"# this is just to make the plots look pretty\n",
"\n",
"import sys\n",
"import os\n",
"from glob import glob\n",
"import random\n",
"from collections import Counter\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"from scipy import stats\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib_venn as vn\n",
"from matplotlib.colors import ListedColormap\n",
"import seaborn as sns\n",
"import re\n",
"## Default plotting params\n",
"\n",
"%matplotlib inline\n",
"sns.set(font='Arial')\n",
"plt.rcParams['svg.fonttype'] = 'none'\n",
"style = sns.axes_style('white')\n",
"style.update(sns.axes_style('ticks'))\n",
"style['xtick.major.size'] = 2\n",
"style['ytick.major.size'] = 2\n",
"sns.set(font_scale=1.5, style=style)\n",
"pal = sns.color_palette(['#0072b2', '#d55e00', '#009e73', '#3fe442', '#cc79a7','#dd0000','#550000'])\n",
"cmap = ListedColormap(pal.as_hex())\n",
"sns.set_palette(pal)\n",
"sns.palplot(pal)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 130,
"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>readname</th>\n",
" <th>contig</th>\n",
" <th>position</th>\n",
" <th>leader_start</th>\n",
" <th>adapter_start</th>\n",
" <th>polya_start</th>\n",
" <th>transcript_start</th>\n",
" <th>read_rate</th>\n",
" <th>polya_length</th>\n",
" <th>qc_tag</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bdb6187f-a436-4657-a00d-098508ea42e4</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>1020</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" <td>2980.0</td>\n",
" <td>6858.0</td>\n",
" <td>125.50</td>\n",
" <td>156.54</td>\n",
" <td>PASS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1f9af6c8-06b9-4b90-bb42-4d8cff6ca4e9</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>14</td>\n",
" <td>414.0</td>\n",
" <td>741.0</td>\n",
" <td>5207.0</td>\n",
" <td>8827.0</td>\n",
" <td>115.85</td>\n",
" <td>134.19</td>\n",
" <td>PASS</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>29e3b66d-b1f6-4a1a-8d10-94df2f46e5c5</td>\n",
" <td>ENSMUST00000208660.1|ENSMUSG00000025900.12|OTT...</td>\n",
" <td>17</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" <td>6263.0</td>\n",
" <td>8666.0</td>\n",
" <td>130.96</td>\n",
" <td>99.43</td>\n",
" <td>SUFFCLIP</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>d98717fd-0e6c-448d-ab0c-05f8ae79520d</td>\n",
" <td>ENSMUST00000208660.1|ENSMUSG00000025900.12|OTT...</td>\n",
" <td>2280</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" <td>14489.0</td>\n",
" <td>17664.0</td>\n",
" <td>91.27</td>\n",
" <td>91.18</td>\n",
" <td>ADAPTER</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>6248d29b-3ab1-4fb4-9bce-06d1ed071e4e</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>1020</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" <td>6802.0</td>\n",
" <td>8603.0</td>\n",
" <td>111.56</td>\n",
" <td>61.67</td>\n",
" <td>PASS</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" readname \\\n",
"0 bdb6187f-a436-4657-a00d-098508ea42e4 \n",
"1 1f9af6c8-06b9-4b90-bb42-4d8cff6ca4e9 \n",
"2 29e3b66d-b1f6-4a1a-8d10-94df2f46e5c5 \n",
"3 d98717fd-0e6c-448d-ab0c-05f8ae79520d \n",
"4 6248d29b-3ab1-4fb4-9bce-06d1ed071e4e \n",
"\n",
" contig position leader_start \\\n",
"0 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 1020 2.0 \n",
"1 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 14 414.0 \n",
"2 ENSMUST00000208660.1|ENSMUSG00000025900.12|OTT... 17 2.0 \n",
"3 ENSMUST00000208660.1|ENSMUSG00000025900.12|OTT... 2280 2.0 \n",
"4 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 1020 2.0 \n",
"\n",
" adapter_start polya_start transcript_start read_rate polya_length \\\n",
"0 3.0 2980.0 6858.0 125.50 156.54 \n",
"1 741.0 5207.0 8827.0 115.85 134.19 \n",
"2 3.0 6263.0 8666.0 130.96 99.43 \n",
"3 3.0 14489.0 17664.0 91.27 91.18 \n",
"4 3.0 6802.0 8603.0 111.56 61.67 \n",
"\n",
" qc_tag \n",
"0 PASS \n",
"1 PASS \n",
"2 SUFFCLIP \n",
"3 ADAPTER \n",
"4 PASS "
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Read the tsv file into a pandas dataframe and\n",
"# display the first 5 lines\n",
"polya_lengths = pd.read_csv('Adult1_polyA_top1000.tsv',sep='\\t')\n",
"polya_lengths.head()"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'ENSMUST00000027035.9|ENSMUSG00000025902.13|OTTMUSG00000050014.7|OTTMUST00000127245.2|Sox17-201|Sox17|3127|protein_coding|'"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Examine what a typical contig looks like\n",
"polya_lengths['contig'][0]"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.755"
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# How many reads are useable?\n",
"sum(polya_lengths.qc_tag == 'PASS') / len(polya_lengths)"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [],
"source": [
"# Do quality control to only use genes that passed\n",
"# We seem from the above cell that 76% of reads were \n",
"# deemed as passing\n",
"polya_lengths = polya_lengths[polya_lengths['qc_tag'] == 'PASS']"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Example gene name: Sox17\n",
"Example transcript: Sox17-201\n"
]
}
],
"source": [
"# We want the information in the Sox17-201 and Sox17 regions\n",
"# We can split the contig by the | then looks for the\n",
"# 3th and 4th columns from the right\n",
"def grab_gene_name(contig):\n",
" return contig.split('|')[-4]\n",
"\n",
"def grab_gene_trans(contig):\n",
" return contig.split('|')[-5]\n",
"\n",
"\n",
"print(\"Example gene name: \" + grab_gene_name(polya_lengths['contig'][0]))\n",
"print(\"Example transcript: \" + grab_gene_trans(polya_lengths['contig'][0]))"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [],
"source": [
"# Make two new columns containing gene name and transcript\n",
"polya_lengths[\"gene_name\"] = polya_lengths[\"contig\"].map(grab_gene_name)\n",
"polya_lengths[\"transcript\"] = polya_lengths[\"contig\"].map(grab_gene_trans)"
]
},
{
"cell_type": "code",
"execution_count": 136,
"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>readname</th>\n",
" <th>contig</th>\n",
" <th>position</th>\n",
" <th>leader_start</th>\n",
" <th>adapter_start</th>\n",
" <th>polya_start</th>\n",
" <th>transcript_start</th>\n",
" <th>read_rate</th>\n",
" <th>polya_length</th>\n",
" <th>qc_tag</th>\n",
" <th>gene_name</th>\n",
" <th>transcript</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>bdb6187f-a436-4657-a00d-098508ea42e4</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>1020</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" <td>2980.0</td>\n",
" <td>6858.0</td>\n",
" <td>125.50</td>\n",
" <td>156.54</td>\n",
" <td>PASS</td>\n",
" <td>Sox17</td>\n",
" <td>Sox17-201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1f9af6c8-06b9-4b90-bb42-4d8cff6ca4e9</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>14</td>\n",
" <td>414.0</td>\n",
" <td>741.0</td>\n",
" <td>5207.0</td>\n",
" <td>8827.0</td>\n",
" <td>115.85</td>\n",
" <td>134.19</td>\n",
" <td>PASS</td>\n",
" <td>Sox17</td>\n",
" <td>Sox17-201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>6248d29b-3ab1-4fb4-9bce-06d1ed071e4e</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>1020</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" <td>6802.0</td>\n",
" <td>8603.0</td>\n",
" <td>111.56</td>\n",
" <td>61.67</td>\n",
" <td>PASS</td>\n",
" <td>Sox17</td>\n",
" <td>Sox17-201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>0d5fbe98-b8f6-4b4f-bfdb-f892cb31a3c9</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>1020</td>\n",
" <td>2.0</td>\n",
" <td>46.0</td>\n",
" <td>6391.0</td>\n",
" <td>13014.0</td>\n",
" <td>120.48</td>\n",
" <td>259.88</td>\n",
" <td>PASS</td>\n",
" <td>Sox17</td>\n",
" <td>Sox17-201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>bb0a4704-06db-4c97-90c7-3e09cc64daa6</td>\n",
" <td>ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT...</td>\n",
" <td>1028</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" <td>4125.0</td>\n",
" <td>5093.0</td>\n",
" <td>125.50</td>\n",
" <td>35.29</td>\n",
" <td>PASS</td>\n",
" <td>Sox17</td>\n",
" <td>Sox17-201</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" readname \\\n",
"0 bdb6187f-a436-4657-a00d-098508ea42e4 \n",
"1 1f9af6c8-06b9-4b90-bb42-4d8cff6ca4e9 \n",
"4 6248d29b-3ab1-4fb4-9bce-06d1ed071e4e \n",
"5 0d5fbe98-b8f6-4b4f-bfdb-f892cb31a3c9 \n",
"8 bb0a4704-06db-4c97-90c7-3e09cc64daa6 \n",
"\n",
" contig position leader_start \\\n",
"0 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 1020 2.0 \n",
"1 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 14 414.0 \n",
"4 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 1020 2.0 \n",
"5 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 1020 2.0 \n",
"8 ENSMUST00000027035.9|ENSMUSG00000025902.13|OTT... 1028 2.0 \n",
"\n",
" adapter_start polya_start transcript_start read_rate polya_length \\\n",
"0 3.0 2980.0 6858.0 125.50 156.54 \n",
"1 741.0 5207.0 8827.0 115.85 134.19 \n",
"4 3.0 6802.0 8603.0 111.56 61.67 \n",
"5 46.0 6391.0 13014.0 120.48 259.88 \n",
"8 3.0 4125.0 5093.0 125.50 35.29 \n",
"\n",
" qc_tag gene_name transcript \n",
"0 PASS Sox17 Sox17-201 \n",
"1 PASS Sox17 Sox17-201 \n",
"4 PASS Sox17 Sox17-201 \n",
"5 PASS Sox17 Sox17-201 \n",
"8 PASS Sox17 Sox17-201 "
]
},
"execution_count": 136,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Examine poly_lengths with the new columns\n",
"polya_lengths.head()"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"{'2610203C22Rik',\n",
" '4732440D04Rik',\n",
" 'Adhfe1',\n",
" 'Arfgef1',\n",
" 'Atp6v1h',\n",
" 'Cops5',\n",
" 'Eya1',\n",
" 'Gm26901',\n",
" 'Gm37567',\n",
" 'Lactb2',\n",
" 'Lypla1',\n",
" 'Mrpl15',\n",
" 'Msc',\n",
" 'Ncoa2',\n",
" 'Pcmtd1',\n",
" 'Prex2',\n",
" 'Rb1cc1',\n",
" 'Rpl7',\n",
" 'Rrs1',\n",
" 'Sbspon',\n",
" 'Sgk3',\n",
" 'Slco5a1',\n",
" 'Snhg6',\n",
" 'Sox17',\n",
" 'Sulf1',\n",
" 'Tcea1',\n",
" 'Terf1',\n",
" 'Tram1',\n",
" 'Vcpip1'}"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# What are the unique gene names?\n",
"display(set(polya_lengths['gene_name']))"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"{'2610203C22Rik-205',\n",
" '4732440D04Rik-202',\n",
" '4732440D04Rik-203',\n",
" 'Adhfe1-201',\n",
" 'Adhfe1-203',\n",
" 'Arfgef1-201',\n",
" 'Arfgef1-205',\n",
" 'Atp6v1h-201',\n",
" 'Cops5-201',\n",
" 'Eya1-201',\n",
" 'Gm26901-201',\n",
" 'Gm37567-201',\n",
" 'Lactb2-201',\n",
" 'Lypla1-201',\n",
" 'Mrpl15-202',\n",
" 'Mrpl15-203',\n",
" 'Mrpl15-205',\n",
" 'Mrpl15-206',\n",
" 'Msc-201',\n",
" 'Ncoa2-202',\n",
" 'Ncoa2-203',\n",
" 'Pcmtd1-201',\n",
" 'Prex2-201',\n",
" 'Prex2-206',\n",
" 'Rb1cc1-201',\n",
" 'Rb1cc1-205',\n",
" 'Rb1cc1-212',\n",
" 'Rpl7-201',\n",
" 'Rpl7-203',\n",
" 'Rrs1-201',\n",
" 'Sbspon-201',\n",
" 'Sgk3-202',\n",
" 'Sgk3-203',\n",
" 'Sgk3-204',\n",
" 'Sgk3-209',\n",
" 'Slco5a1-207',\n",
" 'Snhg6-201',\n",
" 'Snhg6-202',\n",
" 'Snhg6-203',\n",
" 'Snhg6-204',\n",
" 'Snhg6-205',\n",
" 'Sox17-201',\n",
" 'Sox17-208',\n",
" 'Sulf1-201',\n",
" 'Sulf1-202',\n",
" 'Sulf1-203',\n",
" 'Sulf1-204',\n",
" 'Tcea1-201',\n",
" 'Tcea1-202',\n",
" 'Terf1-201',\n",
" 'Terf1-203',\n",
" 'Tram1-201',\n",
" 'Vcpip1-201'}"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# What are the unique transcripts?\n",
"display(set(polya_lengths['transcript']))"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Mrpl15 112\n",
"Cops5 97\n",
"Lypla1 67\n",
"Snhg6 65\n",
"Adhfe1 58\n",
"Tcea1 37\n",
"Rpl7 36\n",
"Pcmtd1 36\n",
"Arfgef1 33\n",
"Tram1 33\n",
"Lactb2 28\n",
"Rb1cc1 23\n",
"Atp6v1h 22\n",
"Gm37567 22\n",
"Sulf1 21\n",
"Ncoa2 12\n",
"Rrs1 11\n",
"Prex2 9\n",
"Sox17 8\n",
"Vcpip1 7\n",
"Sgk3 6\n",
"Terf1 3\n",
"Msc 2\n",
"4732440D04Rik 2\n",
"Eya1 1\n",
"2610203C22Rik 1\n",
"Slco5a1 1\n",
"Sbspon 1\n",
"Gm26901 1\n",
"Name: gene_name, dtype: int64"
]
},
"execution_count": 139,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"polya_lengths.gene_name.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 146,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Mrpl15-206 104\n",
"Cops5-201 97\n",
"Lypla1-201 67\n",
"Adhfe1-203 50\n",
"Snhg6-203 45\n",
"Pcmtd1-201 36\n",
"Tram1-201 33\n",
"Arfgef1-201 32\n",
"Rpl7-201 29\n",
"Lactb2-201 28\n",
"Atp6v1h-201 22\n",
"Gm37567-201 22\n",
"Tcea1-202 20\n",
"Tcea1-201 17\n",
"Rb1cc1-212 11\n",
"Ncoa2-203 11\n",
"Rrs1-201 11\n",
"Snhg6-204 11\n",
"Sulf1-202 10\n",
"Rb1cc1-201 10\n",
"Prex2-201 8\n",
"Adhfe1-201 8\n",
"Vcpip1-201 7\n",
"Sox17-201 7\n",
"Rpl7-203 7\n",
"Mrpl15-202 6\n",
"Snhg6-202 6\n",
"Sulf1-201 4\n",
"Sulf1-204 4\n",
"Sulf1-203 3\n",
"Snhg6-205 2\n",
"Msc-201 2\n",
"Sgk3-203 2\n",
"Terf1-203 2\n",
"Rb1cc1-205 2\n",
"Sgk3-202 2\n",
"4732440D04Rik-202 1\n",
"Slco5a1-207 1\n",
"Mrpl15-203 1\n",
"Prex2-206 1\n",
"Sox17-208 1\n",
"Snhg6-201 1\n",
"2610203C22Rik-205 1\n",
"Terf1-201 1\n",
"Gm26901-201 1\n",
"Sbspon-201 1\n",
"Arfgef1-205 1\n",
"Sgk3-209 1\n",
"Eya1-201 1\n",
"4732440D04Rik-203 1\n",
"Sgk3-204 1\n",
"Mrpl15-205 1\n",
"Ncoa2-202 1\n",
"Name: transcript, dtype: int64"
]
},
"execution_count": 146,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"polya_lengths.transcript.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {},
"outputs": [],
"source": [
"# Choose the genes names you'd like to plot\n",
"genes_to_plot = {'Sox17','Rpl7'}"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 396x396 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(5.5, 5.5))\n",
"for idx,name in enumerate(genes_to_plot):\n",
" this_type_only = polya_lengths[polya_lengths.gene_name == name]\n",
" sns.histplot(this_type_only.dropna().polya_length,\n",
" kde=False,\n",
" bins=np.linspace(0, 200, 50),\n",
" stat='density',\n",
" color=pal[idx],\n",
" label=name)\n",
"ax.set_xlabel('Poly(A) tail length')\n",
"ax.set_ylabel('Reads (Frequency Density)')\n",
"#ax.set_xticks([0, 1, 2, 3])\n",
"#ax.set_xticklabels([1, 10, 100, 1000])\n",
"#ax.set_xlim(-1, 2.75)\n",
"ax.legend(fontsize=14)\n",
"plt.tight_layout()\n",
"plt.savefig('polya_tail_length_gene_name.svg', transparent=True)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {},
"outputs": [],
"source": [
"# transcripts you'd like to plot\n",
"trans_to_plot = {'Tcea1-202','Tcea1-201'}"
]
},
{
"cell_type": "code",
"execution_count": 149,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 396x396 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(5.5, 5.5))\n",
"for idx,name in enumerate(trans_to_plot):\n",
" this_type_only = polya_lengths[polya_lengths.transcript == name]\n",
" sns.histplot(this_type_only.dropna().polya_length,\n",
" kde=False,\n",
" bins=np.linspace(0, 200, 50),\n",
" stat='density',\n",
" color=pal[idx],\n",
" label=name)\n",
"ax.set_xlabel('Poly(A) tail length')\n",
"ax.set_ylabel('Reads (Frequency Density)')\n",
"#ax.set_xticks([0, 1, 2, 3])\n",
"#ax.set_xticklabels([1, 10, 100, 1000])\n",
"#ax.set_xlim(-1, 2.75)\n",
"ax.legend(fontsize=14)\n",
"plt.tight_layout()\n",
"plt.savefig('polya_tail_length_transcript.svg', transparent=True)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 151,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import time\n",
"fig, ax = plt.subplots(figsize=(12, 6))\n",
"sns.violinplot(x='gene_name',y='polya_length',\n",
" data=polya_lengths,\n",
" scale='width',\n",
" saturation=0.5,\n",
" color='#DDDDDD',\n",
" cut=0,\n",
" inner=None,\n",
" linewidth=2\n",
" )\n",
"#sns.boxplot(x='type',y='polya_length',\n",
"# data=polya_lengths,\n",
" \n",
"# )\n",
"sns.stripplot(x='gene_name',y='polya_length',\n",
" data=polya_lengths,\n",
" jitter=True,\n",
" linewidth=0.5\n",
" )\n",
"ax.set_xticklabels(ax.get_xticklabels(),rotation=45, ha='right', va='top', fontsize=14)\n",
"ax.set_xlabel('')\n",
"ax.set_ylabel('Poly(A) length estimate')\n",
"plt.tight_layout()\n",
"plt.savefig('ERCC_polya_length_boxplot.svg')\n",
"plt.savefig('ERCC_polya_length_boxplot.png')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.8"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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