{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import synapseclient\n",
      "import os\n",
      "import sys\n",
      "import yaml\n",
      "import pandas\n",
      "import re\n",
      "import matplotlib.pyplot as plt\n",
      "\n",
      "#adding the lib path\n",
      "sys.path.append('%s/../lib' % os.getcwd())\n",
      "\n",
      "#internal modules\n",
      "import utils"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#login \n",
      "syn = synapseclient.login()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Welcome, Abhishek Pratap!\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##RA Syn internal Proj Management"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#SYN IDS\n",
      "RNA_SEQ_DATA = 'syn2280648'\n",
      "\n",
      "\n",
      "#dirs\n",
      "qc_dir = '/Volumes/work/DAT_115__RA_Challenge/Data/qc_plots/'\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#get the list of bam files for the project\n",
      "rnaSeq_details_file = '/Volumes/work/DAT_115__RA_Challenge/Documents/RNA_Seq_Data_generation.rtf'\n",
      "bam_local_dir = '/Volumes/work/DAT_115__RA_Challenge/Data/'\n",
      "bams = utils.get_FilesList(bam_local_dir,pattern='*.bam')  "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[get_FilesList]: Found 60 files at /Volumes/work/DAT_115__RA_Challenge/Data/\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "##push bams as links to synapse\n",
      "syn_rnaSeq_details= syn.store(synapseclient.File(rnaSeq_details_file,name='RNA Seq Data Generation', parent=RNA_SEQ_DATA)\n",
      "                              ,forceVersion=False) \n",
      "for count,bam in enumerate(bams):\n",
      "    \n",
      "    #read the bam stats\n",
      "    bamStats_file = os.path.dirname(bam) + '/' + os.path.basename(bam).replace('bam','bamStats')\n",
      "    bamStats = yaml.load(open(bamStats_file,'r'))\n",
      "    \n",
      "    #create a synapse file\n",
      "    syn_bamFile = synapseclient.File(bam, synapseStore=False, parent= RNA_SEQ_DATA,\n",
      "                                     name = os.path.basename(bam), annotations = bamStats)\n",
      "                                     \n",
      "    #add additional metadata                        \n",
      "    syn_bamFile['fileType'] = 'bam'\n",
      "    syn_bamFile['sampleType'] = 'mRNA'\n",
      "    syn_bamFile = syn.store(syn_bamFile, used = [syn_rnaSeq_details.id],\n",
      "                            forceVersion = False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#generate plots for read count summarization\n",
      "#gather all bamstat per bam file\n",
      "bamStats = []\n",
      "for count,bam in enumerate(bams):\n",
      "    #read the bam stats\n",
      "    bamStats_file = os.path.dirname(bam) + '/' + os.path.basename(bam).replace('bam','bamStats')\n",
      "    bamStats.append(yaml.load(open(bamStats_file,'r')))\n",
      "\n",
      "#create a pandas df\n",
      "df = pandas.DataFrame.from_dict(bamStats)\n",
      "#get only the patient number and set a df index\n",
      "df.index = df.bamFile.apply(lambda x: re.sub(r'_.*bam','',x))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 66
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#raw read count per sample\n",
      "ax = df.reads.plot(kind=\"bar\",figsize=(15,8),color=\"#8DA0CB\")\n",
      "ax.set_title('RA Challenge RNA-Seq data : raw read count / sample')\n",
      "ax.set_xlabel('patient id')\n",
      "ax.set_ylabel('#reads (in 100 millions)')\n",
      "readCount_plot = qc_dir + '/raw_read_count.png'\n",
      "plt.savefig(readCount_plot,bbox_inches='tight')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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YsEB5eXmSpJycHCWStBcY2bhxo3r37q1Vq1ZJkt5//33df//9mj59+n8X5wVG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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1075a0290>"
       ]
      }
     ],
     "prompt_number": 108
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df['%map'] = df.mapped.astype(float) / (df.reads)\n",
      "df['%QC_failed'] = df.QC_failed.astype(float) / df.reads\n",
      "df['%dups'] = df.PCR_optical_dups.astype(float) / df.reads\n",
      "ax = df[['%map','%QC_failed','%PCR_optical_dups']].plot(figsize=(15,8))\n",
      "ax.set_title('RA Challenge RNA-Seq data : reads mapping % / sample')\n",
      "ax.set_xlabel('patient id')\n",
      "ax.set_ylabel('percent')\n",
      "#still feel this is a hack: shud be a better way to specify xticks and labels\n",
      "ax.set_xticks(range(0,60,1))\n",
      "ax.set_xticklabels(df.index)\n",
      "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
      "plt.xticks(rotation=90)\n",
      "mapPercent_plot = qc_dir + '/mapping_percent.png'\n",
      "plt.savefig(mapPercent_plot,bbox_inches='tight')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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lKcdEmpJnaZHJZHBzc0NYWFhZp1Lh8ZgejDHGKo3s3Vry4uUFtGgBjBwJKBQl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\n/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daTrpeEBDlxDPb+9aKfRyBatZLkT6dOUvnRvLndERmDogBbt1o/3cE/xaVjR3367Gy5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\niIjIknjRg4iIiIiIiIgs6f93Dos7C9LWNAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10be52910>"
       ]
      }
     ],
     "prompt_number": 109
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Push count data along with provenance\n",
      "counts_file = \"/Users/apratap/Desktop/RA_Data_Expression_Counts.txt\"\n",
      "\n",
      "#counting and analysis script URL\n",
      "script = 'https://raw.github.com/apratap/apRs/master/RA_Data_Exp_Analysis.R'\n",
      "\n",
      "#get bam synids used\n",
      "bam_synIds = syn.query('select id from entity WHERE parentId == \"syn2280648\" and fileType ==\"bam\"')['results']\n",
      "bam_synIds = pandas.DataFrame.from_dict(bam_synIds)\n",
      "bam_synIds = list(bam_synIds['entity.id'])\n",
      "syn_counts_file = synapseclient.File(counts_file,parent='syn2290931')\n",
      "\n",
      "\n",
      "syn_counts_file = syn.store(syn_counts_file,used=bam_synIds,executed=[script])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
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        ","
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       "text": [
        "!"
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       "stream": "stdout",
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        "!\n"
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Upload completed in 50 seconds.\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "File(path='/Users/apratap/Desktop/RA_Data_Expression_Counts.txt', uri=u'/repo/v1/entity/syn2295027', files=['RA_Data_Expression_Counts.txt'], id=u'syn2295027', accessControlList=u'/repo/v1/entity/syn2295027/acl', parentId=u'syn2290931', synapseStore=True, versionUrl=u'/repo/v1/entity/syn2295027/version/1', createdBy=u'Abhishek Pratap', versionNumber=1, versions=u'/repo/v1/entity/syn2295027/version', externalURL=None, versionLabel=u'1', entityType=u'org.sagebionetworks.repo.model.FileEntity', modifiedOn=u'2013-11-06T17:02:53.245Z', etag=u'0f1eb4b8-d166-4a7b-8efa-ecb2a6710218', cacheDir='/Users/apratap/Desktop', creationDate=u'1383757367250', modifiedBy=u'Abhishek Pratap', etag=u'1db20eae-a9f5-4ad0-9f8f-cd2c845991a9', annotations=u'/repo/v1/entity/syn2295027/annotations', uri=u'/entity/syn2295027/annotations', concreteType='org.sagebionetworks.repo.model.FileEntity', createdOn=u'2013-11-06T17:02:47.250Z', md5=None, dataFileHandleId=u'199011', fileSize=None, name=u'RA_Data_Expression_Counts.txt')"
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    {
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     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
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     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "list(bam_synIds['entity.id'])"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}