scripts/NP_highCTG_supp_figs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Globals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "matplotlib.use('agg')\n",
    "from IPython.display import Image, display\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import os\n",
    "import sys\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pyfaidx\n",
    "sns.set_style('ticks')\n",
    "sns.set_context('paper')\n",
    "\n",
    "matplotlib.rcParams['svg.fonttype'] = 'none'\n",
    "matplotlib.rc('font', family='sans-serif') \n",
    "matplotlib.rc('font', serif='Helvetica') \n",
    "matplotlib.rc('font', size=8)\n",
    "matplotlib.rc('xtick', labelsize=6)    # fontsize of the tick labels\n",
    "matplotlib.rc('ytick', labelsize=6)    # fontsize of the tick labels\n",
    "matplotlib.rc('legend', fontsize=9)\n",
    "matplotlib.rc('axes', linewidth=.6)\n",
    "matplotlib.rc('xtick.major', width=.6)\n",
    "matplotlib.rc('xtick.major', size=2.5)\n",
    "matplotlib.rc('ytick.major', width=.6)\n",
    "matplotlib.rc('ytick.major', size=2.5)\n",
    "\n",
    "flu_gtf_file = \"../data/genomes/influenza/lowctgnp_wsn_pr8.gtf.tsv\"\n",
    "flu_fasta_file = \"../data/genomes/influenza/lowctgnp_wsn_pr8.fasta\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read in NP alignment files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "### read in NP alignment files\n",
    "vir_samples=['cyclo_vir','cyclo_ifn_vir','ltm_vir','ltm_ifn_vir']\n",
    "\n",
    "directory='/fh/fast/subramaniam_a/user/rasi/analysis/riboseq/20180329_heather_a549_wsn_ifn_ltm_r2/processeddata/'\n",
    "data=[]\n",
    "for sample in vir_samples:\n",
    "    np_align=pd.read_csv('%s%s/np_alignments.tsv'%(directory,sample),sep='\\t')\n",
    "    np_align['sample']=sample\n",
    "    data.append(np_align)\n",
    "np_align=pd.concat(data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert to CDS coordinates and trim to P-site"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# NP start site from GTF file\n",
    "flu_gtf = pd.read_csv(\n",
    "    flu_gtf_file, \n",
    "    sep='\\t', \n",
    "    header=None,\n",
    "    names=['seqid', 'source', 'type', 'start', 'end', 'score', 'strand', 'phase', 'attributes'])\n",
    "flu_gtf = flu_gtf[flu_gtf['source'].notnull()]\n",
    "start=flu_gtf.query('seqid==\"NP\" & type == \"start_codon\"').start.values[0]  ### this is based on 1 numbering\n",
    "\n",
    "\n",
    "# convert to 1 numbering and cds numbering (this is assuming input NP file is in 1 numbering)\n",
    "np_align['start']=np_align['start']+1-start\n",
    "np_align['end']=np_align['end']+1-start\n",
    "\n",
    "#calculate read length (this is assuming that the end value is not inclusive - makefile allows reads from 25- 40 nucleotides\n",
    "#but when I don't add 1 to read length I get read lengths that are 24-29 nt)\n",
    "np_align['alignment length']=np_align['end']-np_align['start']+1 \n",
    "\n",
    "# determine 13 or 14 nucleotide trim to p-site based on read length (14 nt for reads greater than 32, 13 nt for less than 33 nt\n",
    "## these trimming parameters produce data with local peak at 322\n",
    "np_align['trim paramter']=np.where(np_align['alignment length']>=33, 14, 13)\n",
    "np_align['psite_position']=np_align['start']+np_align['trim paramter']\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make histogram of read 3' end for reads with p-site at position 322 for highCTG NP reads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 250
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#subset site 322 to plot read 3' end\n",
    "sub=np_align.query('seqname == \"NPhighCTG\" & psite_position ==322')\n",
    "\n",
    "#plot\n",
    "plot_order=vir_samples\n",
    "plot_titles=['ribo, +vir','ribo, +ifn +vir','ribo +LTM, +vir','ribo +LTM, +ifn +vir']\n",
    "fig, ax = matplotlib.pyplot.subplots()\n",
    "g = sns.FacetGrid(sub, col=\"sample\", col_wrap=2,col_order=plot_order,margin_titles=True)\n",
    "bins = np.linspace(320, 341, 22)\n",
    "g.map(plt.hist, \"end\", bins=bins, lw=0,color=\"grey\")\n",
    "g.fig.text(0.02, 0.5, 'read count', va='center', rotation='vertical')\n",
    "g.fig.text(0.1, 0.04, \"3' end of reads with p-site at position 322\", va='center', rotation='horizontal')\n",
    "g.set_xlabels('').set_titles('').set(xticks=[320,325, 330,335, 340])\n",
    "c=0\n",
    "for axax in g.axes.ravel():\n",
    "    axax.set_title(plot_titles[c])\n",
    "    c+=1\n",
    "    axax.scatter([322,328], [40,40],marker='v', color='white',edgecolors='black',linewidths=1)    \n",
    "    \n",
    "g.fig.set_size_inches(2.7,2.4)\n",
    "g.fig.tight_layout(pad=1.5)\n",
    "filepath = '../figures/NP_322_readend_histogram.svg' \n",
    "plt.savefig(filepath)\n",
    "png = filepath.rstrip('.svg') + '.png'\n",
    "!convert -density 192 -trim $filepath $png\n",
    "display(Image(png, width=250))\n",
    "sys.stdout.flush()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## make histogram of read lengths for all NP reads and for high CTG NP reads with p-site at 322 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "flu_genome = pyfaidx.Fasta(flu_fasta_file)\n",
    "snp_list=[]\n",
    "for index,base in enumerate(str(flu_genome['NPlowCTG'])):\n",
    "    if base != str(flu_genome['NPhighCTG'][index]):\n",
    "        #convert to CDS: subtract start (which is in cds coord), add 2\n",
    "        snp_cds=index - NPstart + 2\n",
    "        snp_list.append(snp_cds)\n",
    "low_snp=[]\n",
    "for sample in vir_samples:\n",
    "    sample_low_reads=[]\n",
    "    for snp in snp_list:\n",
    "        sub_low=np_align.query('sample ==@sample & seqname == \"NPlowCTG\" & start <=@snp & end >=@snp')\n",
    "        sample_low_reads.append(sub_low)\n",
    "    sample_lowdf=pd.concat(sample_low_reads)\n",
    "    sample_lowdf=sample_lowdf.drop_duplicates()\n",
    "    low_snp.append(sample_lowdf)\n",
    "sub_low=pd.concat(low_snp)\n",
    "sub_high=np_align.query(' seqname == \"NPhighCTG\"')\n",
    "all_np=pd.concat([sub_high,sub_low])\n",
    "sub=np_align.query('seqname == \"NPhighCTG\" & psite_position ==322')\n",
    "df = pd.merge(np_align, sub, on=['names','sample','seqname','start','end','alignment length','trim paramter','psite_position'], how='left', indicator='Exist')\n",
    "#df.drop('Rating', inplace=True, axis=1)\n",
    "df['Exist'] = np.where(df.Exist == 'both', True, False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_order=['cyclo_vir','ltm_vir','cyclo_ifn_vir','ltm_ifn_vir']\n",
    "plot_titles=['ribo, +vir','ribo +LTM, +vir','ribo, +ifn +vir','ribo +LTM, +ifn +vir']\n",
    "fig, ax = matplotlib.pyplot.subplots()\n",
    "g = sns.FacetGrid(df, col=\"sample\", row='Exist',col_order=plot_order,margin_titles=False,sharey=False)\n",
    "bins = np.linspace(24, 41, 18)\n",
    "\n",
    "g.map(plt.hist, \"alignment length\", color=\"gray\", bins=bins, lw=0)\n",
    "\n",
    "g.set_xlabels('').set_titles('').set(xticks=[25, 30,35, 40])\n",
    "c=0\n",
    "for axax in g.axes.ravel():\n",
    "    axax.set_title(plot_titles[c])\n",
    "    c+=1\n",
    "    if c==4:\n",
    "        c=0\n",
    "g.fig.text(0.01, 0.7, 'NP read count', va='center', rotation='vertical')\n",
    "g.fig.text(0.01, 0.3, 'high CTG NP 322 \\np-site read count', va='center', rotation='vertical')\n",
    "g.fig.text(0.4, 0.04, 'alignment length (nt)', va='center', rotation='horizontal')\n",
    "\n",
    "\n",
    "g.fig.set_size_inches(4.5,2.4)\n",
    "g.fig.tight_layout(pad=1.5)\n",
    "filepath = '../figures/NP_readlength_histogram.svg' \n",
    "plt.savefig(filepath)\n",
    "png = filepath.rstrip('.svg') + '.png'\n",
    "!convert -density 192 -trim $filepath $png\n",
    "display(Image(png, width=500))\n",
    "sys.stdout.flush()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}