{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculating CpG ratio for the *Acropora palmata* transcriptome"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This workflow calculates CpG ratio, or CpG O/E, for contigs in the *Acropora palmata* [transcriptome](https://usegalaxy.org/datasets/cb51c4a06d7ae94e/display?to_ext=fasta). CpG ratio is an estimate of germline DNA methylation.\n",
    "\n",
    "This workflow is an extension of another IPython notebook workflow, `Apalm_blast_anno.ipynb`, that generates an annotation of the same transcriptome. This workflow assumes that you have created the directories and files specified in the annotation workflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/jd/Documents/Projects/Coral-CpG-ratio-MS/data/Apalm\n"
     ]
    }
   ],
   "source": [
    "cd .data/Apalm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ">AOKF1013_g2_c length=710 Acc=Q9DE13 Description=Bromodomainadjacenttozincfingerdomainprotein2B\n",
      "AGGGCAATTGAGTCGCAAAGAAAACAAGAGGAGCGTGAAAGATTAAAGGAAGAGAAAAAAATGGAAAAGGAACTTCAAAGAGAGAAAAAGCTTGAGCAAAAGAGAAGGGAGATGATTTTAGCCCGTGAACTGAAAAAGCCAGTAGAAGATATGGTTTTAAAGGATAGCAAGACACTTCCTGCTTTCTCCAGAGTTGTGGGCCTTAAAATACCAGGGGACGCATTTGCTGACTTGTTGATGGTTCAGGAATTTGTGCACAATTTTAGTGAAGCCTTGGAACTTGATTCCAACGAAGTCCCTTCCTTGTGGGAAATGCAGTTGTCATTGTTAAATGACAGCAGTGAGGATGTCCTCGTGCCACTTTGTCAGAGTCTTCTGATGTCTGCATTAGAGGATCCTGGCTGTGAGGGGCCTGATTCATTCACAATGCTTGGAGTTGCATTAGCCAAAGTGGAATTGAATGAAACAAACTTCTCTGAAGTCTTGAGGCTGTTTATAATTTCAAGAAATGCTGGTGACCCTCATCCTTTGGCAGAAGCTTTCATCAGTACACCTTTCCAAGCACTCACCATGTCAGCTAAGGCTGGAGTCTTGGGTTACCTGTGCAATGAACTGCTGTGCAGTAGAACAATATGCAAGGAAATAGAGAATAGTATTGAACACATGTCAAATTTACGTCGAGATAAGTGGGTTGTGGAAGGCAAGTTTGG\n",
      "\n",
      "number of seqs =\n",
      "88020\n"
     ]
    }
   ],
   "source": [
    "#fasta file generated in Apalm_blast_anno.ipynb\n",
    "!head -2 Apalmata_assembled.fasta\n",
    "!echo \n",
    "!echo number of seqs =\n",
    "!fgrep -c \">\" Apalmata_assembled.fasta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ">AOKF1013_g2_c\n",
      "AGGGCAATTGAGTCGCAAAGAAAACAAGAGGAGCGTGAAAGATTAAAGGAAGAGAAAAAAATGGAAAAGGAACTTCAAAGAGAGAAAAAGCTTGAGCAAAAGAGAAGGGAGATGATTTTAGCCCGTGAACTGAAAAAGCCAGTAGAAGATATGGTTTTAAAGGATAGCAAGACACTTCCTGCTTTCTCCAGAGTTGTGGGCCTTAAAATACCAGGGGACGCATTTGCTGACTTGTTGATGGTTCAGGAATTTGTGCACAATTTTAGTGAAGCCTTGGAACTTGATTCCAACGAAGTCCCTTCCTTGTGGGAAATGCAGTTGTCATTGTTAAATGACAGCAGTGAGGATGTCCTCGTGCCACTTTGTCAGAGTCTTCTGATGTCTGCATTAGAGGATCCTGGCTGTGAGGGGCCTGATTCATTCACAATGCTTGGAGTTGCATTAGCCAAAGTGGAATTGAATGAAACAAACTTCTCTGAAGTCTTGAGGCTGTTTATAATTTCAAGAAATGCTGGTGACCCTCATCCTTTGGCAGAAGCTTTCATCAGTACACCTTTCCAAGCACTCACCATGTCAGCTAAGGCTGGAGTCTTGGGTTACCTGTGCAATGAACTGCTGTGCAGTAGAACAATATGCAAGGAAATAGAGAATAGTATTGAACACATGTCAAATTTACGTCGAGATAAGTGGGTTGTGGAAGGCAAGTTTGG\n",
      ">AOKF1022_b2_c\n",
      "GGGCAAAACGAACAAATTTTGACAATAATCTCTCAAATCTGTCAAGTCACGGCAGGGCTGCAAATAGCTATCGGGGAGGCGCCGGTCACGTCCGGTCAAACATGATTTTGCTCGGACAAGACCCGCTTTTGGCCGGTCAAATTTTAACAGTCGTAACTCTTACGATAGTGAACCCAGATTGCGCAGTAATCCTTTTATAACTACAAAACAATTGAATCCAAGTCGGTTTGGCAATAAAAGGTACTACTTTTACCACTCTTTGCTTTTCGCACTTTGCAATAAATTCTACGTAGAGGATTCTTGGTGTAGCGAGATTATTCTTCGTGGGAGTGCTTTCCGATCATTCAATCAATCAATCAATCACTTTATTTGTGAGTCAATCACGGTATCTCTCCAAAGATAAAACCCTCTACCAAGTGGGAACACCTAAGGCTAATAAAAATAACGGACGACTCGATGATTTGCCGTCGTGACAGGACTTGATGACATCGTGGAAATTTTCTAGTACCGGGAATTTCACTACCAAGAATTTGTCTAGTTTTATATTCGTTTTTTTTTATCATACATGTCCCTCGTGATTATCAAATAGTTAAAACTTAAAACTTGTCTGAACGAGTGAATAAAGGGTT\n",
      ">AOKF1022_g2_c\n",
      "TTTGGGGGGGGGCCGGTCCCGTCCGGTCAAACATGATTTTGCTCGGACAAGACCCGCTTTTGGCCGGTCAAATTTTAACAGTGGTAACTCTTTCGATAGGGAACCCAGATTGGGCCGTAATCCTTTTTTAACTTCAAAACAATTGAATCCAAGTCGGTTTGGCAATAAAAGGGACTACTTTTACCCCTCTTTGCTTTTCGCCCTTTGCAAAAAATTTTACGTAGGGGGTTTTTGGGGTAGGGGGATTTTTTTTTGGGGGGGGGGTTTCCGGTCATTCAATCAATCAATCAATCCCTTTTTTTGGGGGGCAATCCCGGGATTTCTCCAAAGATAAAACCCTTTTCCAAGGGGGGACCCCTAAGGGTAATAAAAAAAACGGGCGGCCCGATGATTTGCCGTCGTGACAGGACTTGAAGACATCGGGGAAATTTTTTAGTTCCGGGAATTTCCCTCCCAAGAATTTGTCTAGTTTTAAATTCGTTTTTTTTTATCAAACAAGTCCCCCGGGGTTTTCAAAAAGTTAAAACTTAAAACTTGTTTGAACGGGGGAATAAAGGGTTTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaagccgg\n",
      ">AOKF1024_g2_c\n",
      "TTTTTTTAAACCCCTTTTTTTAAACGGTAGGGGGCCAAAAAATGTTGTTAAAAATTCCTTTAACTAAGGGTTTTTTTTGGGAAAAAAAAAAAAGGGGGGCCTTGTCCTTTTTTTTTTTTTTTTTTTTTTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaccc\n",
      ">AOKF1029_g2_c\n",
      "TAAGCTGCTCCAACCACTGGTACATACATTAAATTTTATTTCCACTGAAAGGGTATAAATGACCCGATCAATTTTCATGTTTTTTTCCCCTCAAAGACAGTATGCCAACTATGGTATTTTCCATTTTACACGATTCCTTGTTCTTTTTTTTTTTGAGAGACCTTGTTTCTGTAACATGCAAATTGTCCCCAAGCTGAGGTAGGCATAAGTGTCCTACTGTTGTGATGATTTTCTCTTAATATATTTTAACTGGACATCATTGTATAGTTGCATATAGTTGTTTGGCTTTGCCTAGAACAAGAGGGTAAGACATTTTCTAACCTACCGACCTATAATCTGACTTTTAATATAGAAGAATTTTCATGAATAAACTGTTTCATGTCTCTAGTTCACTAACATAACATGTTTCATAAAAAAGTTCTTTTGAAAGTAAAATAAAGCCATTATTGACTTCTTTCATAATTTTAAAAATTAATCCAGGAAAAATTTATTTGCAAAAAGAGAAAATGGAAACATCAATAAATCACCATCAGCTACTTTCTTTTAATCTCTTTATGCAAAACCAAAATTTGCATTGGTTGTAAATTAGTCTGGTAACTAAAGTTTCTACCAGTTTCAAAACTGGCAGCTTTGAGTACCAACTCGATACCAATAGTAAATCTGTTTAGATCTAATCCAGCTGTAATGATTGTCGAAGACCAGAGCGTACTGCCCTGCATCAACTAACCCCC\n",
      ">F66KHFO02JZYYU\n",
      "ACTAAGTCTGGATATTCTAGCTTGGACTGCAGGGATATTATTAATCAACACAATAGATAATAATAATAATAATATTATTACTTCAACATTTGACTGACTGATTGGCTGACAAATGGGAAATAGTACCCATAATAGTCTGTAACATGATTTACACAGATTTCTCCTCAGGGACAATACAGTTGCGAAAATGATTCAGTTTCATGGGTGGGAGCAGTCTCCATCTGAGAGATGGCTTCCAGTAGTGGAAGCTCACGACGTTGTTTCTCAGGAATCAAACCTTCACACTGCAACTCAGCTGTTAAACCAAAACATTAGCATGCATGCAATTCCTGACCTCAATGAAAATAATAACCTTGAATCAACTTTGTATCTGGAAACTGCCATTTCAAATTCCTCTGGCAGTAAAAGAACAACAGCACATGCAGTCTTCGACATCTGATTCACATTTGTNCAGATGACTTGGTCAATC\n",
      ">F66KHFO02JZZ42\n",
      "ATTTAACTCAGTATCAGAATTCATCCGCTCTACTTGTTTTGCACCGTGACAAGTTGTTTTCGGGTGAAAGGATTTCAAGCGGAACTGAGCTTCATCTCGCTTTCAACCCACTACACAGTGGCTGAAAGACGAGCCTTAAGCTCTCTAATAACGCAACAGCAATAAGGAGAAATGAACGCTGGGAGAACAGAAGACGAGTTTTTCTGCGAAGGAGATTCAAGAAGGCACCACCGCTCCGTCTCCCATTTGTGGCGCGTCTGGCACTTATACGAGGAATTTGGCTTCCTCTAATGTCCCTCATCTACTCAGCTTGTCGGGTGGCGAGGAAACACTATTATAAGAGCCCCCACATCAACTCAACAGGTGGTTCCTCTTTGTTTAACTTGGCAACAACTTTGTGGACTCATACCCGTAATTTTAGCTCTTTAGTAGAATAAACATCATGTCCACCACTTATGACATATGATTGATATTATTCTGGTATTT\n",
      ">F66KHFO02JZZ9J\n",
      "GCAACAATGAAGTGGACAAAAACACTGACAAGTTTGCGACTTGTCCAGGAATGCACTTTAACGAAATAAAAAACATTCAATAAGCATAATCAAATGAAGTCCAAGAAGGGCCGTGAATGAGATTGCGAATACTACAAAATTGCAAAATTTACAATAAATAGGATCAGGACAGTTAGGTAAATAGTCTGAGAAAAAGAACAAAAGTTATACAAAACCGAAATAAGGCCCTGAAGGGAAGGCTATACCTCTTGATACTTGATAAATGGTGTACATAGCAGCTGGTACTCCGGAGTTCAAACGACATGAATGATTAAAGCAATTTTGGGTAGGTTTATTTAAGCAAGGACTTTCTTGGGTGTTAAAAAAAATGAGAGGATTCAGGATAGTTTCCACGTATCCCTGAGTG\n",
      ">F66KHFO02JZZML\n",
      "ACTTTCATTCAAGGGAGNACCAAAGACAGCCTTCCACACAGTAAGATGTAAGACTGCATCTCTATGTTTCATAAAACTATTGCAATTTAACTGCCGCATTCCTCTCAATTTCCGCGGTCAAAAACACAGCTGTTTATAACCCCTTATATACTTTCTGTGAAATTCACACGCAAAGTTAAATTCTTGATCTTTGTATTGAAATTTACTTGTAAGTGGACGGGTATTCTGCAATCTAGCCTTTGCTTCTATTCATTTTAGATGTGAGAACTTGTCTACCGGCGAAGAAGATAATTTTACATTATATTTTTTCCGGCGTTTAAGCATAATTAGGAATAATTATGGTGAAAGATGAAACAGGATGTTGATCCGACAAAGCAGGAGCCATCTGGCTGTTCAGCGAGACC\n",
      ">F66KHFO02JZZVO\n",
      "GTGAATTTCCAACTGATAAGCTCTTCCTTTATCACTCAAAGTTCACTCGTGTGAGGCACACAGTCCTGGATGACCGCATTGTATGTCCGGAAGACTTTGTTCTTGATCTAAACCAAAGTTTCTAAGATCATGTTACCAATTTGAAATTTCGGCATTTGGAGCTTCTTTATCTTCTGCCACAAGAATCTTTGGAACTGTAACTCGAGGTGAAGGGGTACGACTAACACCCATCTTTGCAAACTCAAATTTAAACCCAGGCGTGTGGTGAAAGGGTACCACTAACACTCATCTTTGACAAACTCAAATTCAAACCCAGGTGTCTATTACTATATTTTACTCTAGCGGCAAGCGAACATCAAAGCCGAATGTATTGCCAAGAAAATCGCACCAAGCAAAATACCAAAAGGGGCGTACTATACAGAGACCAAAGTGACATTTAAATCGTGTTTATTGATTGATCTCGTAAACTGCAAATAAACGATAAAACGCAGGTATAAGACGTCTA\n"
     ]
    }
   ],
   "source": [
    "#I remembered that this fasta is full of \" marks before some of the \">\"\n",
    "#Removing \" from fasta and printing first line w/out comments and looking at contig names\n",
    "!sed 's/\"//g' Apalmata_assembled.fasta | awk '{print $1}' > Apalm.fasta\n",
    "!head -10 Apalm.fasta\n",
    "!tail -10 Apalm.fasta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Converted 88020 FASTA records in 176040 lines to tabular format\r\n",
      "Total sequence length: 63829400\r\n",
      "\r\n"
     ]
    }
   ],
   "source": [
    "#Converting FASTA to tabular format and placing output file in analyses directory\n",
    "!perl -e '$count=0; $len=0; while(<>) {s/\\r?\\n//; s/\\t/ /g; if (s/^>//) { if ($. != 1) {print \"\\n\"} s/ |$/\\t/; $count++; $_ .= \"\\t\";} else {s/ //g; $len += length($_)} print $_;} print \"\\n\"; warn \"\\nConverted $count FASTA records in $. lines to tabular format\\nTotal sequence length: $len\\n\\n\";' \\\n",
    "Apalm.fasta > ../../analyses/Apalm/fasta2tab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/jd/Documents/Projects/Coral-CpG-ratio-MS/analyses/Apalm\n"
     ]
    }
   ],
   "source": [
    "cd ../../analyses/Apalm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c\t\tAGGGCAATTGAGTCGCAAAGAAAACAAGAGGAGCGTGAAAGATTAAAGGAAGAGAAAAAAATGGAAAAGGAACTTCAAAGAGAGAAAAAGCTTGAGCAAAAGAGAAGGGAGATGATTTTAGCCCGTGAACTGAAAAAGCCAGTAGAAGATATGGTTTTAAAGGATAGCAAGACACTTCCTGCTTTCTCCAGAGTTGTGGGCCTTAAAATACCAGGGGACGCATTTGCTGACTTGTTGATGGTTCAGGAATTTGTGCACAATTTTAGTGAAGCCTTGGAACTTGATTCCAACGAAGTCCCTTCCTTGTGGGAAATGCAGTTGTCATTGTTAAATGACAGCAGTGAGGATGTCCTCGTGCCACTTTGTCAGAGTCTTCTGATGTCTGCATTAGAGGATCCTGGCTGTGAGGGGCCTGATTCATTCACAATGCTTGGAGTTGCATTAGCCAAAGTGGAATTGAATGAAACAAACTTCTCTGAAGTCTTGAGGCTGTTTATAATTTCAAGAAATGCTGGTGACCCTCATCCTTTGGCAGAAGCTTTCATCAGTACACCTTTCCAAGCACTCACCATGTCAGCTAAGGCTGGAGTCTTGGGTTACCTGTGCAATGAACTGCTGTGCAGTAGAACAATATGCAAGGAAATAGAGAATAGTATTGAACACATGTCAAATTTACGTCGAGATAAGTGGGTTGTGGAAGGCAAGTTTGG\n",
      "AOKF1022_b2_c\t\tGGGCAAAACGAACAAATTTTGACAATAATCTCTCAAATCTGTCAAGTCACGGCAGGGCTGCAAATAGCTATCGGGGAGGCGCCGGTCACGTCCGGTCAAACATGATTTTGCTCGGACAAGACCCGCTTTTGGCCGGTCAAATTTTAACAGTCGTAACTCTTACGATAGTGAACCCAGATTGCGCAGTAATCCTTTTATAACTACAAAACAATTGAATCCAAGTCGGTTTGGCAATAAAAGGTACTACTTTTACCACTCTTTGCTTTTCGCACTTTGCAATAAATTCTACGTAGAGGATTCTTGGTGTAGCGAGATTATTCTTCGTGGGAGTGCTTTCCGATCATTCAATCAATCAATCAATCACTTTATTTGTGAGTCAATCACGGTATCTCTCCAAAGATAAAACCCTCTACCAAGTGGGAACACCTAAGGCTAATAAAAATAACGGACGACTCGATGATTTGCCGTCGTGACAGGACTTGATGACATCGTGGAAATTTTCTAGTACCGGGAATTTCACTACCAAGAATTTGTCTAGTTTTATATTCGTTTTTTTTTATCATACATGTCCCTCGTGATTATCAAATAGTTAAAACTTAAAACTTGTCTGAACGAGTGAATAAAGGGTT\n",
      "F66KHFO02JZZML\t\tACTTTCATTCAAGGGAGNACCAAAGACAGCCTTCCACACAGTAAGATGTAAGACTGCATCTCTATGTTTCATAAAACTATTGCAATTTAACTGCCGCATTCCTCTCAATTTCCGCGGTCAAAAACACAGCTGTTTATAACCCCTTATATACTTTCTGTGAAATTCACACGCAAAGTTAAATTCTTGATCTTTGTATTGAAATTTACTTGTAAGTGGACGGGTATTCTGCAATCTAGCCTTTGCTTCTATTCATTTTAGATGTGAGAACTTGTCTACCGGCGAAGAAGATAATTTTACATTATATTTTTTCCGGCGTTTAAGCATAATTAGGAATAATTATGGTGAAAGATGAAACAGGATGTTGATCCGACAAAGCAGGAGCCATCTGGCTGTTCAGCGAGACC\n",
      "F66KHFO02JZZVO\t\tGTGAATTTCCAACTGATAAGCTCTTCCTTTATCACTCAAAGTTCACTCGTGTGAGGCACACAGTCCTGGATGACCGCATTGTATGTCCGGAAGACTTTGTTCTTGATCTAAACCAAAGTTTCTAAGATCATGTTACCAATTTGAAATTTCGGCATTTGGAGCTTCTTTATCTTCTGCCACAAGAATCTTTGGAACTGTAACTCGAGGTGAAGGGGTACGACTAACACCCATCTTTGCAAACTCAAATTTAAACCCAGGCGTGTGGTGAAAGGGTACCACTAACACTCATCTTTGACAAACTCAAATTCAAACCCAGGTGTCTATTACTATATTTTACTCTAGCGGCAAGCGAACATCAAAGCCGAATGTATTGCCAAGAAAATCGCACCAAGCAAAATACCAAAAGGGGCGTACTATACAGAGACCAAAGTGACATTTAAATCGTGTTTATTGATTGATCTCGTAAACTGCAAATAAACGATAAAACGCAGGTATAAGACGTCTA\n"
     ]
    }
   ],
   "source": [
    "#Checking header on new tabular format file\n",
    "!head -2 fasta2tab\n",
    "!tail -2 fasta2tab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Added column with length of column 2 for 88020 lines.\r\n",
      "\r\n"
     ]
    }
   ],
   "source": [
    "#Add column with length of sequence\n",
    "!perl -e '$col = 2;' -e 'while (<>) { s/\\r?\\n//; @F = split /\\t/, $_; $len = length($F[$col]); print \"$_\\t$len\\n\" } warn \"\\nAdded column with length of column $col for $. lines.\\n\\n\";' \\\n",
    "fasta2tab > tab_1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   88020  264060 65591859 tab_1\r\n"
     ]
    }
   ],
   "source": [
    "!wc tab_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#The file used to count Cs and Gs will only include the sequence\n",
    "!awk '{print $2}' tab_1 > tab_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#This counts CGs - both cases\n",
    "!echo \"CG\" | awk -F\\[Cc][Gg] '{print NF-1}' tab_2 > CG "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Counts Cs\n",
    "!echo \"C\" | awk -F\\[Cc] '{print NF-1}' tab_2 > C "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Counts Gs\n",
    "!echo \"G\" | awk -F\\[Gg] '{print NF-1}' tab_2 > G "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c\t\tAGGGCAATTGAGTCGCAAAGAAAACAAGAGGAGCGTGAAAGATTAAAGGAAGAGAAAAAAATGGAAAAGGAACTTCAAAGAGAGAAAAAGCTTGAGCAAAAGAGAAGGGAGATGATTTTAGCCCGTGAACTGAAAAAGCCAGTAGAAGATATGGTTTTAAAGGATAGCAAGACACTTCCTGCTTTCTCCAGAGTTGTGGGCCTTAAAATACCAGGGGACGCATTTGCTGACTTGTTGATGGTTCAGGAATTTGTGCACAATTTTAGTGAAGCCTTGGAACTTGATTCCAACGAAGTCCCTTCCTTGTGGGAAATGCAGTTGTCATTGTTAAATGACAGCAGTGAGGATGTCCTCGTGCCACTTTGTCAGAGTCTTCTGATGTCTGCATTAGAGGATCCTGGCTGTGAGGGGCCTGATTCATTCACAATGCTTGGAGTTGCATTAGCCAAAGTGGAATTGAATGAAACAAACTTCTCTGAAGTCTTGAGGCTGTTTATAATTTCAAGAAATGCTGGTGACCCTCATCCTTTGGCAGAAGCTTTCATCAGTACACCTTTCCAAGCACTCACCATGTCAGCTAAGGCTGGAGTCTTGGGTTACCTGTGCAATGAACTGCTGTGCAGTAGAACAATATGCAAGGAAATAGAGAATAGTATTGAACACATGTCAAATTTACGTCGAGATAAGTGGGTTGTGGAAGGCAAGTTTGG\t710\t8\t119\t183\r\n"
     ]
    }
   ],
   "source": [
    "#Combining counts\n",
    "!paste tab_1 \\\n",
    "CG \\\n",
    "C \\\n",
    "G \\\n",
    "> comb\n",
    "!head -1 comb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculating CpGo/e based on [Gavery and Roberts (2010)](http://www.biomedcentral.com/1471-2164/11/483)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://eagle.fish.washington.edu/cnidarian/skitch/BMC_Genomics___Full_text___DNA_methylation_patterns_provide_insight_into_epigenetic_regulation_in_the_Pacific_oyster__Crassostrea_gigas__1A0683A5.png\" alt=\"BMC_Genomics___Full_text___DNA_methylation_patterns_provide_insight_into_epigenetic_regulation_in_the_Pacific_oyster__Crassostrea_gigas__1A0683A5.png\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Calculation of CpG o/e\n",
    "!awk '{print $1, \"\\t\", (($4)/($5*$6))*(($3^2)/($3-1))}' comb > ID_CpG  #use ^ instead of ** for exponent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c \t 0.261194\r\n",
      "AOKF1022_b2_c \t 1.21084\r\n",
      "AOKF1022_g2_c \t 0.933676\r\n",
      "AOKF1024_g2_c \t 0.46793\r\n",
      "AOKF1029_g2_c \t 0.305319\r\n",
      "AOKF1031_g2_c \t 0.476647\r\n",
      "AOKF1034_g2_c \t 0.250371\r\n",
      "AOKF1040_g2_c \t 1.11148\r\n",
      "AOKF1045_g2_c \t 0.415524\r\n",
      "AOKF1046_g2_c \t 0.278746\r\n"
     ]
    }
   ],
   "source": [
    "!head ID_CpG"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now joining CpG to annotation, but first must sort files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1031_g2_c\tsp\tQ66I12\tCCD47_DANRE\t46.03\t239\t126\t3\t8\t721\t229\t465\t3e-48\t  171\r\n",
      "AOKF1045_g2_c\tsp\tB5DFQ4\tRHG26_XENTR\t45.99\t237\t126\t1\t2\t712\t74\t308\t1e-60\t  208\r\n",
      "AOKF1050_b2_c\tsp\tP81004\tVDAC2_XENLA\t67.41\t135\t44\t0\t315\t719\t3\t137\t5e-60\t  197\r\n",
      "AOKF1057_b2_c\tsp\tP56616\tUBE2C_XENLA\t55.48\t146\t60\t4\t109\t537\t34\t177\t3e-49\t  166\r\n",
      "AOKF1062_g2_c\tsp\tQ5PR73\tDIRA2_MOUSE\t37.35\t166\t99\t4\t4\t501\t7\t167\t2e-29\t  113\r\n",
      "AOKF1091_g2_c\tsp\tA2RRV3\tPATL1_DANRE\t38.69\t168\t83\t4\t195\t695\t402\t550\t4e-26\t  111\r\n",
      "AOKF1100_g2_c\tsp\tL0N7N1\tKIF14_MOUSE\t54.02\t87\t40\t0\t397\t657\t424\t510\t1e-26\t  112\r\n",
      "AOKF1114_g2_c\tsp\tQ9BX66\tSRBS1_HUMAN\t47.17\t53\t28\t0\t188\t346\t798\t850\t2e-10\t63.9\r\n",
      "AOKF1132_g2_c\tsp\tQ8VDS4\tRPR1A_MOUSE\t53.04\t247\t111\t2\t2\t727\t20\t266\t8e-84\t  259\r\n",
      "AOKF1164_g2_c\tsp\tQ9VHH9\tJHD1_DROME\t67.72\t127\t41\t0\t2\t382\t250\t376\t1e-59\t  209\r\n"
     ]
    }
   ],
   "source": [
    "#Sorting Apalm Uniprot/Swissprot annotation file. This file was the result of work done in another notebook: \n",
    "#Apalm_blast_anno.ipynb\n",
    "!sort Apalm_blastx_uniprot_sql.tab | tail -n +2 > Apalm_blastx_uniprot_sql.tab.sorted\n",
    "!head Apalm_blastx_uniprot_sql.tab.sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1045_g2_c\tcell organization and biogenesis\r",
      "\r\n",
      "AOKF1045_g2_c\tother biological processes\r",
      "\r\n",
      "AOKF1045_g2_c\tsignal transduction\r",
      "\r\n",
      "AOKF1050_b2_c\ttransport\r",
      "\r\n",
      "AOKF1057_b2_c\tcell cycle and proliferation\r",
      "\r\n",
      "AOKF1057_b2_c\tcell organization and biogenesis\r",
      "\r\n",
      "AOKF1057_b2_c\tother biological processes\r",
      "\r\n",
      "AOKF1057_b2_c\tprotein metabolism\r",
      "\r\n",
      "AOKF1062_g2_c\tother biological processes\r",
      "\r\n",
      "AOKF1062_g2_c\tother metabolic processes\r",
      "\r\n"
     ]
    }
   ],
   "source": [
    "#Sorting Ahya GOSlim annotation file. This file was the result of work done in another notebook: Apalm_blast_anno.ipynb\n",
    "!sort Apalm_GOSlim.tab | tail -n +2 > Apalm_GOSlim.sorted\n",
    "!head Apalm_GOSlim.sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c \t 0.261194\r\n",
      "AOKF1022_b2_c \t 1.21084\r\n",
      "AOKF1022_g2_c \t 0.933676\r\n",
      "AOKF1024_g2_c \t 0.46793\r\n",
      "AOKF1029_g2_c \t 0.305319\r\n",
      "AOKF1031_g2_c \t 0.476647\r\n",
      "AOKF1034_g2_c \t 0.250371\r\n",
      "AOKF1040_g2_c \t 1.11148\r\n",
      "AOKF1045_g2_c \t 0.415524\r\n",
      "AOKF1046_g2_c \t 0.278746\r\n"
     ]
    }
   ],
   "source": [
    "#Sorting Ahya CpG file\n",
    "!sort ID_CpG > ID_CpG.sorted\n",
    "!head ID_CpG.sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "!join ID_CpG.sorted Apalm_blastx_uniprot_sql.tab.sorted | awk '{print $1, \"\\t\", $2}' > Apalm_cpg_anno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1031_g2_c \t 0.476647\r\n",
      "AOKF1045_g2_c \t 0.415524\r\n",
      "AOKF1050_b2_c \t 0.405247\r\n",
      "AOKF1057_b2_c \t 0.337031\r\n",
      "AOKF1062_g2_c \t 1.00104\r\n",
      "AOKF1091_g2_c \t 0.503552\r\n",
      "AOKF1100_g2_c \t 0.616876\r\n",
      "AOKF1114_g2_c \t 0.964931\r\n",
      "AOKF1132_g2_c \t 0.228244\r\n",
      "AOKF1164_g2_c \t 0.905474\r\n"
     ]
    }
   ],
   "source": [
    "!head Apalm_cpg_anno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "!join ID_CpG.sorted Apalm_GOSlim.sorted > Apalm_cpg_GOslim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1045_g2_c 0.415524 cell organization and biogenesis\r",
      "\r\n",
      "AOKF1045_g2_c 0.415524 other biological processes\r",
      "\r\n",
      "AOKF1045_g2_c 0.415524 signal transduction\r",
      "\r\n",
      "AOKF1050_b2_c 0.405247 transport\r",
      "\r\n",
      "AOKF1057_b2_c 0.337031 cell cycle and proliferation\r",
      "\r\n",
      "AOKF1057_b2_c 0.337031 cell organization and biogenesis\r",
      "\r\n",
      "AOKF1057_b2_c 0.337031 other biological processes\r",
      "\r\n",
      "AOKF1057_b2_c 0.337031 protein metabolism\r",
      "\r\n",
      "AOKF1062_g2_c 1.00104 other biological processes\r",
      "\r\n",
      "AOKF1062_g2_c 1.00104 other metabolic processes\r",
      "\r\n"
     ]
    }
   ],
   "source": [
    "!head Apalm_cpg_GOslim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1045_g2_c \t 0.415524 \t cell organization and biogenesis\r",
      "\r\n",
      "AOKF1045_g2_c \t 0.415524 \t other biological processes\r",
      " \r\n",
      "AOKF1045_g2_c \t 0.415524 \t signal transduction\r",
      "  \r\n",
      "AOKF1050_b2_c \t 0.405247 \t transport\r",
      "   \r\n",
      "AOKF1057_b2_c \t 0.337031 \t cell cycle and proliferation\r",
      "\r\n",
      "AOKF1057_b2_c \t 0.337031 \t cell organization and biogenesis\r",
      "\r\n",
      "AOKF1057_b2_c \t 0.337031 \t other biological processes\r",
      " \r\n",
      "AOKF1057_b2_c \t 0.337031 \t protein metabolism\r",
      "  \r\n",
      "AOKF1062_g2_c \t 1.00104 \t other biological processes\r",
      " \r\n",
      "AOKF1062_g2_c \t 1.00104 \t other metabolic processes\r",
      " \r\n"
     ]
    }
   ],
   "source": [
    "#Putting tabs in between columns\n",
    "!awk '{print $1, \"\\t\", $2, \"\\t\", $3, $4, $5, $6}' Apalm_cpg_GOslim > Apalm_cpg_GOslim.tab\n",
    "!head Apalm_cpg_GOslim.tab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now time to plot data using pandas and matplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>0</th>\n",
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       "      <th>2</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0     </th>\n",
       "      <td>  AOKF1045_g2_c </td>\n",
       "      <td> 0.415524</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1     </th>\n",
       "      <td>  AOKF1045_g2_c </td>\n",
       "      <td> 0.415524</td>\n",
       "      <td>        other biological processes</td>\n",
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       "    <tr>\n",
       "      <th>2     </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
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       "    <tr>\n",
       "      <th>3     </th>\n",
       "      <td>  AOKF1045_g2_c </td>\n",
       "      <td> 0.415524</td>\n",
       "      <td>               signal transduction</td>\n",
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       "    <tr>\n",
       "      <th>4     </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
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       "    <tr>\n",
       "      <th>5     </th>\n",
       "      <td>  AOKF1050_b2_c </td>\n",
       "      <td> 0.405247</td>\n",
       "      <td>                         transport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6     </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7     </th>\n",
       "      <td>  AOKF1057_b2_c </td>\n",
       "      <td> 0.337031</td>\n",
       "      <td>      cell cycle and proliferation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8     </th>\n",
       "      <td>  AOKF1057_b2_c </td>\n",
       "      <td> 0.337031</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9     </th>\n",
       "      <td>  AOKF1057_b2_c </td>\n",
       "      <td> 0.337031</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11    </th>\n",
       "      <td>  AOKF1057_b2_c </td>\n",
       "      <td> 0.337031</td>\n",
       "      <td>                protein metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13    </th>\n",
       "      <td>  AOKF1062_g2_c </td>\n",
       "      <td> 1.001040</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15    </th>\n",
       "      <td>  AOKF1062_g2_c </td>\n",
       "      <td> 1.001040</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17    </th>\n",
       "      <td>  AOKF1062_g2_c </td>\n",
       "      <td> 1.001040</td>\n",
       "      <td>               signal transduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19    </th>\n",
       "      <td>  AOKF1091_g2_c </td>\n",
       "      <td> 0.503552</td>\n",
       "      <td>                    RNA metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21    </th>\n",
       "      <td>  AOKF1091_g2_c </td>\n",
       "      <td> 0.503552</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22    </th>\n",
       "      <td>  AOKF1114_g2_c </td>\n",
       "      <td> 0.964931</td>\n",
       "      <td>                     cell adhesion</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24    </th>\n",
       "      <td>  AOKF1114_g2_c </td>\n",
       "      <td> 0.964931</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25    </th>\n",
       "      <td>  AOKF1114_g2_c </td>\n",
       "      <td> 0.964931</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27    </th>\n",
       "      <td>  AOKF1114_g2_c </td>\n",
       "      <td> 0.964931</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28    </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29    </th>\n",
       "      <td>  AOKF1114_g2_c </td>\n",
       "      <td> 0.964931</td>\n",
       "      <td>               signal transduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133709</th>\n",
       "      <td> F66KHFO02JZND7 </td>\n",
       "      <td> 0.645784</td>\n",
       "      <td>                protein metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133710</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133711</th>\n",
       "      <td> F66KHFO02JZND7 </td>\n",
       "      <td> 0.645784</td>\n",
       "      <td>               signal transduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133712</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133713</th>\n",
       "      <td> F66KHFO02JZO8X </td>\n",
       "      <td> 0.858204</td>\n",
       "      <td>                    RNA metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133714</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133715</th>\n",
       "      <td> F66KHFO02JZO8X </td>\n",
       "      <td> 0.858204</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133716</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133717</th>\n",
       "      <td> F66KHFO02JZO8X </td>\n",
       "      <td> 0.858204</td>\n",
       "      <td>                   stress response</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133718</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133719</th>\n",
       "      <td> F66KHFO02JZOT7 </td>\n",
       "      <td> 0.657806</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133720</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133721</th>\n",
       "      <td> F66KHFO02JZQBN </td>\n",
       "      <td> 0.852378</td>\n",
       "      <td>                protein metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133722</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133723</th>\n",
       "      <td> F66KHFO02JZTL8 </td>\n",
       "      <td> 0.713145</td>\n",
       "      <td>                             death</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133724</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133725</th>\n",
       "      <td> F66KHFO02JZTL8 </td>\n",
       "      <td> 0.713145</td>\n",
       "      <td>                         transport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133726</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133727</th>\n",
       "      <td> F66KHFO02JZV0J </td>\n",
       "      <td> 0.375928</td>\n",
       "      <td>                protein metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133728</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133729</th>\n",
       "      <td> F66KHFO02JZWQ6 </td>\n",
       "      <td> 0.488831</td>\n",
       "      <td>                         transport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133730</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133731</th>\n",
       "      <td> F66KHFO02JZX3R </td>\n",
       "      <td> 0.916672</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133732</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133733</th>\n",
       "      <td> F66KHFO02JZX9S </td>\n",
       "      <td> 0.545160</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133734</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133735</th>\n",
       "      <td> F66KHFO02JZXKF </td>\n",
       "      <td> 0.926412</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133736</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133737</th>\n",
       "      <td> F66KHFO02JZXKF </td>\n",
       "      <td> 0.926412</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133738</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>133739 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      0         1                                  2\n",
       "0        AOKF1045_g2_c   0.415524   cell organization and biogenesis\n",
       "1        AOKF1045_g2_c   0.415524         other biological processes\n",
       "2                             NaN                                NaN\n",
       "3        AOKF1045_g2_c   0.415524                signal transduction\n",
       "4                             NaN                                NaN\n",
       "5        AOKF1050_b2_c   0.405247                          transport\n",
       "6                             NaN                                NaN\n",
       "7        AOKF1057_b2_c   0.337031       cell cycle and proliferation\n",
       "8        AOKF1057_b2_c   0.337031   cell organization and biogenesis\n",
       "9        AOKF1057_b2_c   0.337031         other biological processes\n",
       "10                            NaN                                NaN\n",
       "11       AOKF1057_b2_c   0.337031                 protein metabolism\n",
       "12                            NaN                                NaN\n",
       "13       AOKF1062_g2_c   1.001040         other biological processes\n",
       "14                            NaN                                NaN\n",
       "15       AOKF1062_g2_c   1.001040          other metabolic processes\n",
       "16                            NaN                                NaN\n",
       "17       AOKF1062_g2_c   1.001040                signal transduction\n",
       "18                            NaN                                NaN\n",
       "19       AOKF1091_g2_c   0.503552                     RNA metabolism\n",
       "20                            NaN                                NaN\n",
       "21       AOKF1091_g2_c   0.503552   cell organization and biogenesis\n",
       "22       AOKF1114_g2_c   0.964931                      cell adhesion\n",
       "23                            NaN                                NaN\n",
       "24       AOKF1114_g2_c   0.964931   cell organization and biogenesis\n",
       "25       AOKF1114_g2_c   0.964931         other biological processes\n",
       "26                            NaN                                NaN\n",
       "27       AOKF1114_g2_c   0.964931          other metabolic processes\n",
       "28                            NaN                                NaN\n",
       "29       AOKF1114_g2_c   0.964931                signal transduction\n",
       "...                 ...       ...                                ...\n",
       "133709  F66KHFO02JZND7   0.645784                 protein metabolism\n",
       "133710                        NaN                                NaN\n",
       "133711  F66KHFO02JZND7   0.645784                signal transduction\n",
       "133712                        NaN                                NaN\n",
       "133713  F66KHFO02JZO8X   0.858204                     RNA metabolism\n",
       "133714                        NaN                                NaN\n",
       "133715  F66KHFO02JZO8X   0.858204         other biological processes\n",
       "133716                        NaN                                NaN\n",
       "133717  F66KHFO02JZO8X   0.858204                    stress response\n",
       "133718                        NaN                                NaN\n",
       "133719  F66KHFO02JZOT7   0.657806          other metabolic processes\n",
       "133720                        NaN                                NaN\n",
       "133721  F66KHFO02JZQBN   0.852378                 protein metabolism\n",
       "133722                        NaN                                NaN\n",
       "133723  F66KHFO02JZTL8   0.713145                              death\n",
       "133724                        NaN                                NaN\n",
       "133725  F66KHFO02JZTL8   0.713145                          transport\n",
       "133726                        NaN                                NaN\n",
       "133727  F66KHFO02JZV0J   0.375928                 protein metabolism\n",
       "133728                        NaN                                NaN\n",
       "133729  F66KHFO02JZWQ6   0.488831                          transport\n",
       "133730                        NaN                                NaN\n",
       "133731  F66KHFO02JZX3R   0.916672          other metabolic processes\n",
       "133732                        NaN                                NaN\n",
       "133733  F66KHFO02JZX9S   0.545160         other biological processes\n",
       "133734                        NaN                                NaN\n",
       "133735  F66KHFO02JZXKF   0.926412         other biological processes\n",
       "133736                        NaN                                NaN\n",
       "133737  F66KHFO02JZXKF   0.926412          other metabolic processes\n",
       "133738                        NaN                                NaN\n",
       "\n",
       "[133739 rows x 3 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jData = pd.read_table('Apalm_cpg_GOslim.tab', header=None)\n",
    "jData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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SJihJW8+V9HNJy0g6AliLtELlbfm8nSXdrSSRfbmkYYX6ti60+R1JbZLukfTOGnZNknSh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\nKmkxca5s4555f7Kkh3P5U3pyDUEQBEF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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1086d0490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jData.groupby(2)[1].mean().plot(kind='barh', color=list('myb'))\n",
    "plt.axis([0.55, 0.75, -1, 14])\n",
    "plt.xlabel('')\n",
    "plt.ylabel('')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0    </th>\n",
       "      <td>  AOKF1031_g2_c </td>\n",
       "      <td> 0.476647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1    </th>\n",
       "      <td>  AOKF1045_g2_c </td>\n",
       "      <td> 0.415524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2    </th>\n",
       "      <td>  AOKF1050_b2_c </td>\n",
       "      <td> 0.405247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3    </th>\n",
       "      <td>  AOKF1057_b2_c </td>\n",
       "      <td> 0.337031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4    </th>\n",
       "      <td>  AOKF1062_g2_c </td>\n",
       "      <td> 1.001040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5    </th>\n",
       "      <td>  AOKF1091_g2_c </td>\n",
       "      <td> 0.503552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6    </th>\n",
       "      <td>  AOKF1100_g2_c </td>\n",
       "      <td> 0.616876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7    </th>\n",
       "      <td>  AOKF1114_g2_c </td>\n",
       "      <td> 0.964931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8    </th>\n",
       "      <td>  AOKF1132_g2_c </td>\n",
       "      <td> 0.228244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9    </th>\n",
       "      <td>  AOKF1164_g2_c </td>\n",
       "      <td> 0.905474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10   </th>\n",
       "      <td>  AOKF1206_g2_c </td>\n",
       "      <td> 0.820971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11   </th>\n",
       "      <td>  AOKF1221_g2_c </td>\n",
       "      <td> 0.424964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12   </th>\n",
       "      <td>  AOKF1230_g2_c </td>\n",
       "      <td> 0.716592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13   </th>\n",
       "      <td>  AOKF1238_g2_c </td>\n",
       "      <td> 0.487211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14   </th>\n",
       "      <td>  AOKF1251_g2_c </td>\n",
       "      <td> 0.253120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15   </th>\n",
       "      <td>  AOKF1269_g2_c </td>\n",
       "      <td> 0.330159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16   </th>\n",
       "      <td>  AOKF1336_g2_c </td>\n",
       "      <td> 0.368121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17   </th>\n",
       "      <td>  AOKF1356_g2_c </td>\n",
       "      <td> 0.461341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18   </th>\n",
       "      <td>  AOKF1427_b2_c </td>\n",
       "      <td> 0.764298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19   </th>\n",
       "      <td>  AOKF1478_g2_c </td>\n",
       "      <td> 0.936591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20   </th>\n",
       "      <td>  AOKF1514_g2_c </td>\n",
       "      <td> 0.295433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21   </th>\n",
       "      <td>  AOKF1531_b2_c </td>\n",
       "      <td> 0.237932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22   </th>\n",
       "      <td>  AOKF1549_b2_c </td>\n",
       "      <td> 0.881497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23   </th>\n",
       "      <td>  AOKF1585_g2_c </td>\n",
       "      <td> 0.720776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24   </th>\n",
       "      <td>  AOKF1597_g2_c </td>\n",
       "      <td> 0.435898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25   </th>\n",
       "      <td>  AOKF1614_g2_c </td>\n",
       "      <td> 0.720420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26   </th>\n",
       "      <td>  AOKF1658_g2_c </td>\n",
       "      <td> 0.285014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27   </th>\n",
       "      <td>  AOKF1670_g2_c </td>\n",
       "      <td> 0.326164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28   </th>\n",
       "      <td>  AOKF1737_g2_c </td>\n",
       "      <td> 0.563409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29   </th>\n",
       "      <td>  AOKF1741_g2_c </td>\n",
       "      <td> 0.272728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35273</th>\n",
       "      <td> F66KHFO02JZ9IQ </td>\n",
       "      <td> 0.481931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35274</th>\n",
       "      <td> F66KHFO02JZ9XY </td>\n",
       "      <td> 1.224440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35275</th>\n",
       "      <td> F66KHFO02JZCNS </td>\n",
       "      <td> 0.779820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35276</th>\n",
       "      <td> F66KHFO02JZCTR </td>\n",
       "      <td> 0.524576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35277</th>\n",
       "      <td> F66KHFO02JZD9L </td>\n",
       "      <td> 0.242735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35278</th>\n",
       "      <td> F66KHFO02JZDTN </td>\n",
       "      <td> 0.583960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35279</th>\n",
       "      <td> F66KHFO02JZFC0 </td>\n",
       "      <td> 0.668225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35280</th>\n",
       "      <td> F66KHFO02JZG27 </td>\n",
       "      <td> 0.846390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35281</th>\n",
       "      <td> F66KHFO02JZG3R </td>\n",
       "      <td> 0.852755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35282</th>\n",
       "      <td> F66KHFO02JZG9W </td>\n",
       "      <td> 0.825320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35283</th>\n",
       "      <td> F66KHFO02JZH8B </td>\n",
       "      <td> 0.594062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35284</th>\n",
       "      <td> F66KHFO02JZJET </td>\n",
       "      <td> 0.320926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35285</th>\n",
       "      <td> F66KHFO02JZJKP </td>\n",
       "      <td> 0.548232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35286</th>\n",
       "      <td> F66KHFO02JZK7V </td>\n",
       "      <td> 0.438391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35287</th>\n",
       "      <td> F66KHFO02JZL1Y </td>\n",
       "      <td> 0.429955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35288</th>\n",
       "      <td> F66KHFO02JZLMO </td>\n",
       "      <td> 0.494197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35289</th>\n",
       "      <td> F66KHFO02JZMKS </td>\n",
       "      <td> 0.631184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35290</th>\n",
       "      <td> F66KHFO02JZMWV </td>\n",
       "      <td> 0.838499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35291</th>\n",
       "      <td> F66KHFO02JZND4 </td>\n",
       "      <td> 0.282860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35292</th>\n",
       "      <td> F66KHFO02JZND7 </td>\n",
       "      <td> 0.645784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35293</th>\n",
       "      <td> F66KHFO02JZO8X </td>\n",
       "      <td> 0.858204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35294</th>\n",
       "      <td> F66KHFO02JZOT7 </td>\n",
       "      <td> 0.657806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35295</th>\n",
       "      <td> F66KHFO02JZQBN </td>\n",
       "      <td> 0.852378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35296</th>\n",
       "      <td> F66KHFO02JZRK4 </td>\n",
       "      <td> 0.620927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35297</th>\n",
       "      <td> F66KHFO02JZTL8 </td>\n",
       "      <td> 0.713145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35298</th>\n",
       "      <td> F66KHFO02JZV0J </td>\n",
       "      <td> 0.375928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35299</th>\n",
       "      <td> F66KHFO02JZWQ6 </td>\n",
       "      <td> 0.488831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35300</th>\n",
       "      <td> F66KHFO02JZX3R </td>\n",
       "      <td> 0.916672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35301</th>\n",
       "      <td> F66KHFO02JZX9S </td>\n",
       "      <td> 0.545160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35302</th>\n",
       "      <td> F66KHFO02JZXKF </td>\n",
       "      <td> 0.926412</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35303 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     0         1\n",
       "0       AOKF1031_g2_c   0.476647\n",
       "1       AOKF1045_g2_c   0.415524\n",
       "2       AOKF1050_b2_c   0.405247\n",
       "3       AOKF1057_b2_c   0.337031\n",
       "4       AOKF1062_g2_c   1.001040\n",
       "5       AOKF1091_g2_c   0.503552\n",
       "6       AOKF1100_g2_c   0.616876\n",
       "7       AOKF1114_g2_c   0.964931\n",
       "8       AOKF1132_g2_c   0.228244\n",
       "9       AOKF1164_g2_c   0.905474\n",
       "10      AOKF1206_g2_c   0.820971\n",
       "11      AOKF1221_g2_c   0.424964\n",
       "12      AOKF1230_g2_c   0.716592\n",
       "13      AOKF1238_g2_c   0.487211\n",
       "14      AOKF1251_g2_c   0.253120\n",
       "15      AOKF1269_g2_c   0.330159\n",
       "16      AOKF1336_g2_c   0.368121\n",
       "17      AOKF1356_g2_c   0.461341\n",
       "18      AOKF1427_b2_c   0.764298\n",
       "19      AOKF1478_g2_c   0.936591\n",
       "20      AOKF1514_g2_c   0.295433\n",
       "21      AOKF1531_b2_c   0.237932\n",
       "22      AOKF1549_b2_c   0.881497\n",
       "23      AOKF1585_g2_c   0.720776\n",
       "24      AOKF1597_g2_c   0.435898\n",
       "25      AOKF1614_g2_c   0.720420\n",
       "26      AOKF1658_g2_c   0.285014\n",
       "27      AOKF1670_g2_c   0.326164\n",
       "28      AOKF1737_g2_c   0.563409\n",
       "29      AOKF1741_g2_c   0.272728\n",
       "...                ...       ...\n",
       "35273  F66KHFO02JZ9IQ   0.481931\n",
       "35274  F66KHFO02JZ9XY   1.224440\n",
       "35275  F66KHFO02JZCNS   0.779820\n",
       "35276  F66KHFO02JZCTR   0.524576\n",
       "35277  F66KHFO02JZD9L   0.242735\n",
       "35278  F66KHFO02JZDTN   0.583960\n",
       "35279  F66KHFO02JZFC0   0.668225\n",
       "35280  F66KHFO02JZG27   0.846390\n",
       "35281  F66KHFO02JZG3R   0.852755\n",
       "35282  F66KHFO02JZG9W   0.825320\n",
       "35283  F66KHFO02JZH8B   0.594062\n",
       "35284  F66KHFO02JZJET   0.320926\n",
       "35285  F66KHFO02JZJKP   0.548232\n",
       "35286  F66KHFO02JZK7V   0.438391\n",
       "35287  F66KHFO02JZL1Y   0.429955\n",
       "35288  F66KHFO02JZLMO   0.494197\n",
       "35289  F66KHFO02JZMKS   0.631184\n",
       "35290  F66KHFO02JZMWV   0.838499\n",
       "35291  F66KHFO02JZND4   0.282860\n",
       "35292  F66KHFO02JZND7   0.645784\n",
       "35293  F66KHFO02JZO8X   0.858204\n",
       "35294  F66KHFO02JZOT7   0.657806\n",
       "35295  F66KHFO02JZQBN   0.852378\n",
       "35296  F66KHFO02JZRK4   0.620927\n",
       "35297  F66KHFO02JZTL8   0.713145\n",
       "35298  F66KHFO02JZV0J   0.375928\n",
       "35299  F66KHFO02JZWQ6   0.488831\n",
       "35300  F66KHFO02JZX3R   0.916672\n",
       "35301  F66KHFO02JZX9S   0.545160\n",
       "35302  F66KHFO02JZXKF   0.926412\n",
       "\n",
       "[35303 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#To plot density curve, must use CpG data WITHOUT annotation\n",
    "CpG = pd.read_table('Apalm_cpg_anno', header=None)\n",
    "CpG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-0.3, 1.7, 0, 1.7]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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G1nV2GfAr/t7wZlpJfyXwXwljcQ1nxl8YXOv/rMT6qeJxnfPE30VdmL+juCD2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\nzjnXY/4/5MyngKgJIZkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1086c1c90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pandas density plot\n",
    "CpG[1].plot(kind='kde', linewidth=3);\n",
    "plt.axis([-0.3, 1.7, 0, 1.7])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now looking only at differentially expressed contigs, joining via common contig IDs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "day1and2.txt is a file listing contigs that were differentially expressed in response to *either* one or two days of thermal stress. The samples were also *A. palmata* larvae. The file was derived from an [Excel file containing supplementary data](http://datadryad.org/bitstream/handle/10255/dryad.39350/SuppTableS3_Final.xlsx?sequence=1) that was presented in [Polato et al. (2013)](http://onlinelibrary.wiley.com.offcampus.lib.washington.edu/doi/10.1111/mec.12163/abstract). Contig IDs are the same as in the transcriptome and can be joined using common contig IDs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c\n",
      "AOKF1050_b2_c\n",
      "AOKF1050_b2_c\n",
      "AOKF1140_b2_c\n",
      "AOKF1501_b2_c\n",
      "AOKF1952_b2_c\n",
      "AOKF386_g2_c\n",
      "AOKG1730_b2_c\n",
      "AOKG1840_b2_c\n",
      "CAFB1171_b2_c\n",
      "    2581    2582   34046 day1and2.txt\n"
     ]
    }
   ],
   "source": [
    "!head day1and2.txt\n",
    "!wc day1and2.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c\n",
      "AOKF1050_b2_c\n",
      "AOKF1140_b2_c\n",
      "AOKF1501_b2_c\n",
      "AOKF1952_b2_c\n",
      "AOKF386_g2_c\n",
      "AOKG1730_b2_c\n",
      "AOKG1840_b2_c\n",
      "CAFB1171_b2_c\n",
      "CAFB1297_b2_c\n",
      "    2002    2002   26622 day1and2_uniq.txt\n"
     ]
    }
   ],
   "source": [
    "!uniq day1and2.txt > day1and2_uniq.txt\n",
    "!head day1and2_uniq.txt\n",
    "!wc day1and2_uniq.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now joining with CpG file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c\r\n",
      "AOKF1050_b2_c\r\n",
      "AOKF1140_b2_c\r\n",
      "AOKF1501_b2_c\r\n",
      "AOKF1952_b2_c\r\n",
      "AOKF386_g2_c\r\n",
      "AOKG1730_b2_c\r\n",
      "AOKG1840_b2_c\r\n",
      "CAFB1171_b2_c\r\n",
      "CAFB1297_b2_c\r\n"
     ]
    }
   ],
   "source": [
    "!sort day1and2_uniq.txt > day1and2_uniq.txt.sorted\n",
    "!head day1and2_uniq.txt.sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1013_g2_c \t 0.261194\n",
      "AOKF1050_b2_c \t 0.405247\n",
      "AOKF1140_b2_c \t 0.828815\n",
      "AOKF1501_b2_c \t 0.730739\n",
      "AOKF1952_b2_c \t 1.26506\n",
      "AOKF386_g2_c \t 1.02326\n",
      "AOKG1730_b2_c \t 0.852003\n",
      "AOKG1840_b2_c \t 0.623692\n",
      "CAFB1171_b2_c \t 0.638914\n",
      "CAFB1297_b2_c \t 0\n",
      "    2002    4004   48074 day1and2temp_CpG\n"
     ]
    }
   ],
   "source": [
    "!join day1and2_uniq.txt.sorted ID_CpG.sorted | awk '{print $1, \"\\t\", $2}' > day1and2temp_CpG\n",
    "!head day1and2temp_CpG\n",
    "!wc day1and2temp_CpG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AOKF1050_b2_c \t 0.405247\n",
      "AOKF386_g2_c \t 1.02326\n",
      "AOKG1730_b2_c \t 0.852003\n",
      "AOKG1840_b2_c \t 0.623692\n",
      "CAOG977_b1_c \t 0.424244\n",
      "CAOH2044_b1_c \t 0.720682\n",
      "CAOH2436_g1_c \t 0.546901\n",
      "CAOH2554_b1_c \t 0.589779\n",
      "CAOI2629_b1_c \t 1.07011\n",
      "CAOI641_b2_c \t 0.898445\n",
      "     994    1988   23814 Apalm_diff_cpg_anno\n"
     ]
    }
   ],
   "source": [
    "#Joining with annotation file\n",
    "!join day1and2temp_CpG Apalm_blastx_uniprot_sql.tab.sorted | awk '{print $1, \"\\t\", $2}' > Apalm_diff_cpg_anno\n",
    "!head Apalm_diff_cpg_anno\n",
    "!wc Apalm_diff_cpg_anno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   \n",
      "AOKF386_g2_c \t 1.02326 \t cell organization and biogenesis\n",
      "  \n",
      "AOKG1730_b2_c \t 0.852003 \t cell organization and biogenesis\n",
      "  \n",
      " \n",
      "  \n",
      "CAOI2629_b1_c \t 1.07011 \t cell organization and biogenesis\n",
      "  \n",
      " \n",
      "    1909    8565   96254 Apalm_diff_cpg_GOslim\n"
     ]
    }
   ],
   "source": [
    "#Joining with GOslim annotation file\n",
    "!join day1and2temp_CpG Apalm_GOSlim.sorted | awk '{print $1, \"\\t\", $2, \"\\t\", $3, $4, $5, $6}' > Apalm_diff_cpg_GOslim\n",
    "!head Apalm_diff_cpg_GOslim\n",
    "!wc Apalm_diff_cpg_GOslim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now plotting data using pandas and matplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0   </th>\n",
       "      <td>  AOKF1050_b2_c </td>\n",
       "      <td> 0.405247</td>\n",
       "      <td>                         transport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1   </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2   </th>\n",
       "      <td>   AOKF386_g2_c </td>\n",
       "      <td> 1.023260</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3   </th>\n",
       "      <td>  AOKG1730_b2_c </td>\n",
       "      <td> 0.852003</td>\n",
       "      <td>                    RNA metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4   </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5   </th>\n",
       "      <td>  AOKG1730_b2_c </td>\n",
       "      <td> 0.852003</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6   </th>\n",
       "      <td>   CAOG977_b1_c </td>\n",
       "      <td> 0.424244</td>\n",
       "      <td>                protein metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7   </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8   </th>\n",
       "      <td>  CAOH2436_g1_c </td>\n",
       "      <td> 0.546901</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9   </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>                     cell adhesion</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>           developmental processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>                protein metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>               signal transduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "      <td>                   stress response</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25  </th>\n",
       "      <td>   CAOI641_b2_c </td>\n",
       "      <td> 0.898445</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27  </th>\n",
       "      <td>   CAOI641_b2_c </td>\n",
       "      <td> 0.898445</td>\n",
       "      <td>                protein metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28  </th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29  </th>\n",
       "      <td>  CAWS1371_b2_c </td>\n",
       "      <td> 0.331062</td>\n",
       "      <td>                    RNA metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3531</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3532</th>\n",
       "      <td> F66KHFO02JQPWC </td>\n",
       "      <td> 0.436226</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3533</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3534</th>\n",
       "      <td> F66KHFO02JQPWC </td>\n",
       "      <td> 0.436226</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3535</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3536</th>\n",
       "      <td> F66KHFO02JQPWC </td>\n",
       "      <td> 0.436226</td>\n",
       "      <td>                         transport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3537</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3538</th>\n",
       "      <td> F66KHFO02JRJIB </td>\n",
       "      <td> 0.379576</td>\n",
       "      <td>               cell-cell signaling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3539</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3540</th>\n",
       "      <td> F66KHFO02JRJIB </td>\n",
       "      <td> 0.379576</td>\n",
       "      <td>           developmental processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3541</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3542</th>\n",
       "      <td> F66KHFO02JRJIB </td>\n",
       "      <td> 0.379576</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3543</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3544</th>\n",
       "      <td> F66KHFO02JSUBP </td>\n",
       "      <td> 0.724542</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3546</th>\n",
       "      <td> F66KHFO02JUJ1P </td>\n",
       "      <td> 0.259713</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3547</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3548</th>\n",
       "      <td> F66KHFO02JUJ1P </td>\n",
       "      <td> 0.259713</td>\n",
       "      <td>                   stress response</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3549</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3550</th>\n",
       "      <td> F66KHFO02JUJ1P </td>\n",
       "      <td> 0.259713</td>\n",
       "      <td>                         transport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3551</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3552</th>\n",
       "      <td> F66KHFO02JUUKW </td>\n",
       "      <td> 0.593258</td>\n",
       "      <td>                    RNA metabolism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3553</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3554</th>\n",
       "      <td> F66KHFO02JVQ28 </td>\n",
       "      <td> 0.469748</td>\n",
       "      <td>  cell organization and biogenesis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3555</th>\n",
       "      <td> F66KHFO02JVQ28 </td>\n",
       "      <td> 0.469748</td>\n",
       "      <td>        other biological processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3556</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3557</th>\n",
       "      <td> F66KHFO02JVQ28 </td>\n",
       "      <td> 0.469748</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3558</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3559</th>\n",
       "      <td> F66KHFO02JVXP5 </td>\n",
       "      <td> 0.203597</td>\n",
       "      <td>         other metabolic processes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3560</th>\n",
       "      <td>                </td>\n",
       "      <td>      NaN</td>\n",
       "      <td>                               NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3561 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    0         1                                  2\n",
       "0      AOKF1050_b2_c   0.405247                          transport\n",
       "1                           NaN                                NaN\n",
       "2       AOKF386_g2_c   1.023260   cell organization and biogenesis\n",
       "3      AOKG1730_b2_c   0.852003                     RNA metabolism\n",
       "4                           NaN                                NaN\n",
       "5      AOKG1730_b2_c   0.852003   cell organization and biogenesis\n",
       "6       CAOG977_b1_c   0.424244                 protein metabolism\n",
       "7                           NaN                                NaN\n",
       "8      CAOH2436_g1_c   0.546901         other biological processes\n",
       "9                           NaN                                NaN\n",
       "10     CAOI2629_b1_c   1.070110                      cell adhesion\n",
       "11                          NaN                                NaN\n",
       "12     CAOI2629_b1_c   1.070110   cell organization and biogenesis\n",
       "13     CAOI2629_b1_c   1.070110            developmental processes\n",
       "14                          NaN                                NaN\n",
       "15     CAOI2629_b1_c   1.070110         other biological processes\n",
       "16                          NaN                                NaN\n",
       "17     CAOI2629_b1_c   1.070110          other metabolic processes\n",
       "18                          NaN                                NaN\n",
       "19     CAOI2629_b1_c   1.070110                 protein metabolism\n",
       "20                          NaN                                NaN\n",
       "21     CAOI2629_b1_c   1.070110                signal transduction\n",
       "22                          NaN                                NaN\n",
       "23     CAOI2629_b1_c   1.070110                    stress response\n",
       "24                          NaN                                NaN\n",
       "25      CAOI641_b2_c   0.898445          other metabolic processes\n",
       "26                          NaN                                NaN\n",
       "27      CAOI641_b2_c   0.898445                 protein metabolism\n",
       "28                          NaN                                NaN\n",
       "29     CAWS1371_b2_c   0.331062                     RNA metabolism\n",
       "...               ...       ...                                ...\n",
       "3531                        NaN                                NaN\n",
       "3532  F66KHFO02JQPWC   0.436226         other biological processes\n",
       "3533                        NaN                                NaN\n",
       "3534  F66KHFO02JQPWC   0.436226          other metabolic processes\n",
       "3535                        NaN                                NaN\n",
       "3536  F66KHFO02JQPWC   0.436226                          transport\n",
       "3537                        NaN                                NaN\n",
       "3538  F66KHFO02JRJIB   0.379576                cell-cell signaling\n",
       "3539                        NaN                                NaN\n",
       "3540  F66KHFO02JRJIB   0.379576            developmental processes\n",
       "3541                        NaN                                NaN\n",
       "3542  F66KHFO02JRJIB   0.379576          other metabolic processes\n",
       "3543                        NaN                                NaN\n",
       "3544  F66KHFO02JSUBP   0.724542          other metabolic processes\n",
       "3545                        NaN                                NaN\n",
       "3546  F66KHFO02JUJ1P   0.259713         other biological processes\n",
       "3547                        NaN                                NaN\n",
       "3548  F66KHFO02JUJ1P   0.259713                    stress response\n",
       "3549                        NaN                                NaN\n",
       "3550  F66KHFO02JUJ1P   0.259713                          transport\n",
       "3551                        NaN                                NaN\n",
       "3552  F66KHFO02JUUKW   0.593258                     RNA metabolism\n",
       "3553                        NaN                                NaN\n",
       "3554  F66KHFO02JVQ28   0.469748   cell organization and biogenesis\n",
       "3555  F66KHFO02JVQ28   0.469748         other biological processes\n",
       "3556                        NaN                                NaN\n",
       "3557  F66KHFO02JVQ28   0.469748          other metabolic processes\n",
       "3558                        NaN                                NaN\n",
       "3559  F66KHFO02JVXP5   0.203597          other metabolic processes\n",
       "3560                        NaN                                NaN\n",
       "\n",
       "[3561 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Apalm_diff_CpG_GOSlim = pd.read_table('Apalm__diff_cpg_GOslim', header=None)\n",
    "Apalm_diff_CpG_GOSlim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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X7Qu7OKzbVP11Tanaoy6hf8nEsFowWIngoR+QNNzJG6IRh5MWl1pi8GB7ic6a/cAk4H6S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\nO0i/p+/YvixfsyNILprnA+P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ED0EQBEEQ9IiY8xBUlpjzEARB0HPibYsKIekx4HngDeAf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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1095cc190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Apalm_diff_CpG_GOSlim.groupby(2)[1].mean().plot(kind='barh', color=list('myb'))\n",
    "plt.axis([0.5, 0.85, -1, 14])\n",
    "plt.xlabel('')\n",
    "plt.ylabel('')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0  </th>\n",
       "      <td>  AOKF1050_b2_c </td>\n",
       "      <td> 0.405247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1  </th>\n",
       "      <td>   AOKF386_g2_c </td>\n",
       "      <td> 1.023260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2  </th>\n",
       "      <td>  AOKG1730_b2_c </td>\n",
       "      <td> 0.852003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3  </th>\n",
       "      <td>  AOKG1840_b2_c </td>\n",
       "      <td> 0.623692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4  </th>\n",
       "      <td>   CAOG977_b1_c </td>\n",
       "      <td> 0.424244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5  </th>\n",
       "      <td>  CAOH2044_b1_c </td>\n",
       "      <td> 0.720682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6  </th>\n",
       "      <td>  CAOH2436_g1_c </td>\n",
       "      <td> 0.546901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7  </th>\n",
       "      <td>  CAOH2554_b1_c </td>\n",
       "      <td> 0.589779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8  </th>\n",
       "      <td>  CAOI2629_b1_c </td>\n",
       "      <td> 1.070110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9  </th>\n",
       "      <td>   CAOI641_b2_c </td>\n",
       "      <td> 0.898445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 </th>\n",
       "      <td>  CAWS1371_b2_c </td>\n",
       "      <td> 0.331062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11 </th>\n",
       "      <td>  CAWS1482_b2_c </td>\n",
       "      <td> 0.706679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 </th>\n",
       "      <td> CCHX11969_b1_c </td>\n",
       "      <td> 0.932186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13 </th>\n",
       "      <td> CCHX12472_b1_c </td>\n",
       "      <td> 0.844341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14 </th>\n",
       "      <td> CCHX12647_b1_c </td>\n",
       "      <td> 0.909217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15 </th>\n",
       "      <td>  CCHX1314_b1_c </td>\n",
       "      <td> 0.788706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 </th>\n",
       "      <td> CCHX13764_b1_c </td>\n",
       "      <td> 1.162150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17 </th>\n",
       "      <td> CCHX14952_b1_c </td>\n",
       "      <td> 0.363122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18 </th>\n",
       "      <td> CCHX15242_b1_c </td>\n",
       "      <td> 0.408760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19 </th>\n",
       "      <td> CCHX16619_b1_c </td>\n",
       "      <td> 0.783179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20 </th>\n",
       "      <td>  CCHX2147_b1_c </td>\n",
       "      <td> 0.287108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21 </th>\n",
       "      <td>  CCHX3889_b1_c </td>\n",
       "      <td> 0.041551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22 </th>\n",
       "      <td>  CCHX4084_b1_c </td>\n",
       "      <td> 0.752735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23 </th>\n",
       "      <td>  CCHX5422_b1_c </td>\n",
       "      <td> 0.549186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24 </th>\n",
       "      <td>  CCHX7039_b1_c </td>\n",
       "      <td> 0.308911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25 </th>\n",
       "      <td>  CCHX7275_b1_c </td>\n",
       "      <td> 0.905557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26 </th>\n",
       "      <td>  CCHX8585_b1_c </td>\n",
       "      <td> 0.209281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27 </th>\n",
       "      <td>  CCHX9155_b1_c </td>\n",
       "      <td> 0.750502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28 </th>\n",
       "      <td>  CCHX9618_b1_c </td>\n",
       "      <td> 0.726452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29 </th>\n",
       "      <td>   Contig_10042 </td>\n",
       "      <td> 0.886648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td> F66KHFO02IGNHO </td>\n",
       "      <td> 0.558197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>965</th>\n",
       "      <td> F66KHFO02IHEKI </td>\n",
       "      <td> 0.691784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td> F66KHFO02II348 </td>\n",
       "      <td> 0.215927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td> F66KHFO02IJ17R </td>\n",
       "      <td> 0.797105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>968</th>\n",
       "      <td> F66KHFO02IKGMI </td>\n",
       "      <td> 0.962609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>969</th>\n",
       "      <td> F66KHFO02ILIKA </td>\n",
       "      <td> 0.256732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td> F66KHFO02ILJOW </td>\n",
       "      <td> 0.829998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td> F66KHFO02ILW21 </td>\n",
       "      <td> 0.873883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td> F66KHFO02IN4WY </td>\n",
       "      <td> 0.301022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td> F66KHFO02INB9A </td>\n",
       "      <td> 0.708336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td> F66KHFO02INJ32 </td>\n",
       "      <td> 0.753148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td> F66KHFO02IO4B5 </td>\n",
       "      <td> 0.737794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td> F66KHFO02IOCNQ </td>\n",
       "      <td> 0.982825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td> F66KHFO02IRSL9 </td>\n",
       "      <td> 0.862706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td> F66KHFO02J2KQP </td>\n",
       "      <td> 0.859879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td> F66KHFO02J2R55 </td>\n",
       "      <td> 0.703131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td> F66KHFO02J3DCX </td>\n",
       "      <td> 0.777464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td> F66KHFO02J3VJ6 </td>\n",
       "      <td> 1.039200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td> F66KHFO02JCQIY </td>\n",
       "      <td> 0.831741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td> F66KHFO02JEH8U </td>\n",
       "      <td> 0.473770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td> F66KHFO02JH11M </td>\n",
       "      <td> 0.380762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td> F66KHFO02JH6QK </td>\n",
       "      <td> 0.813869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td> F66KHFO02JLTK7 </td>\n",
       "      <td> 0.677554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td> F66KHFO02JQPWC </td>\n",
       "      <td> 0.436226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td> F66KHFO02JRJIB </td>\n",
       "      <td> 0.379576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td> F66KHFO02JSUBP </td>\n",
       "      <td> 0.724542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td> F66KHFO02JUJ1P </td>\n",
       "      <td> 0.259713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td> F66KHFO02JUUKW </td>\n",
       "      <td> 0.593258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td> F66KHFO02JVQ28 </td>\n",
       "      <td> 0.469748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td> F66KHFO02JVXP5 </td>\n",
       "      <td> 0.203597</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>994 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   0         1\n",
       "0     AOKF1050_b2_c   0.405247\n",
       "1      AOKF386_g2_c   1.023260\n",
       "2     AOKG1730_b2_c   0.852003\n",
       "3     AOKG1840_b2_c   0.623692\n",
       "4      CAOG977_b1_c   0.424244\n",
       "5     CAOH2044_b1_c   0.720682\n",
       "6     CAOH2436_g1_c   0.546901\n",
       "7     CAOH2554_b1_c   0.589779\n",
       "8     CAOI2629_b1_c   1.070110\n",
       "9      CAOI641_b2_c   0.898445\n",
       "10    CAWS1371_b2_c   0.331062\n",
       "11    CAWS1482_b2_c   0.706679\n",
       "12   CCHX11969_b1_c   0.932186\n",
       "13   CCHX12472_b1_c   0.844341\n",
       "14   CCHX12647_b1_c   0.909217\n",
       "15    CCHX1314_b1_c   0.788706\n",
       "16   CCHX13764_b1_c   1.162150\n",
       "17   CCHX14952_b1_c   0.363122\n",
       "18   CCHX15242_b1_c   0.408760\n",
       "19   CCHX16619_b1_c   0.783179\n",
       "20    CCHX2147_b1_c   0.287108\n",
       "21    CCHX3889_b1_c   0.041551\n",
       "22    CCHX4084_b1_c   0.752735\n",
       "23    CCHX5422_b1_c   0.549186\n",
       "24    CCHX7039_b1_c   0.308911\n",
       "25    CCHX7275_b1_c   0.905557\n",
       "26    CCHX8585_b1_c   0.209281\n",
       "27    CCHX9155_b1_c   0.750502\n",
       "28    CCHX9618_b1_c   0.726452\n",
       "29     Contig_10042   0.886648\n",
       "..               ...       ...\n",
       "964  F66KHFO02IGNHO   0.558197\n",
       "965  F66KHFO02IHEKI   0.691784\n",
       "966  F66KHFO02II348   0.215927\n",
       "967  F66KHFO02IJ17R   0.797105\n",
       "968  F66KHFO02IKGMI   0.962609\n",
       "969  F66KHFO02ILIKA   0.256732\n",
       "970  F66KHFO02ILJOW   0.829998\n",
       "971  F66KHFO02ILW21   0.873883\n",
       "972  F66KHFO02IN4WY   0.301022\n",
       "973  F66KHFO02INB9A   0.708336\n",
       "974  F66KHFO02INJ32   0.753148\n",
       "975  F66KHFO02IO4B5   0.737794\n",
       "976  F66KHFO02IOCNQ   0.982825\n",
       "977  F66KHFO02IRSL9   0.862706\n",
       "978  F66KHFO02J2KQP   0.859879\n",
       "979  F66KHFO02J2R55   0.703131\n",
       "980  F66KHFO02J3DCX   0.777464\n",
       "981  F66KHFO02J3VJ6   1.039200\n",
       "982  F66KHFO02JCQIY   0.831741\n",
       "983  F66KHFO02JEH8U   0.473770\n",
       "984  F66KHFO02JH11M   0.380762\n",
       "985  F66KHFO02JH6QK   0.813869\n",
       "986  F66KHFO02JLTK7   0.677554\n",
       "987  F66KHFO02JQPWC   0.436226\n",
       "988  F66KHFO02JRJIB   0.379576\n",
       "989  F66KHFO02JSUBP   0.724542\n",
       "990  F66KHFO02JUJ1P   0.259713\n",
       "991  F66KHFO02JUUKW   0.593258\n",
       "992  F66KHFO02JVQ28   0.469748\n",
       "993  F66KHFO02JVXP5   0.203597\n",
       "\n",
       "[994 rows x 2 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Apalm_diff_CpG_Data = pd.read_table('Apalm_diff_cpg_anno', header=None)\n",
    "Apalm_diff_CpG_Data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-0.3, 1.7, 0, 2.0]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zj+dMqK1LVd7EFXUBFwZ6UPUYozahz00z/Ebc8N9e4/weUFrYm0Gl0TDyybmx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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1076f58d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pandas density plot\n",
    "Apalm_diff_CpG_Data[1].plot(kind='kde', linewidth=3);\n",
    "CpG[1].plot(kind='kde', linewidth=3);\n",
    "plt.axis([-0.3, 1.7, 0, 2.0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    0.626061\n",
       "dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(CpG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    0.683799\n",
       "dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(Apalm_diff_CpG_Data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "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": "2.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}