{ "metadata": { "name": "khmer-counting" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Figure generation for\n", "A probabilistic approach to k-mer counting\n", "=============" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy\n", "datadir = '../data/'\n", "figsize(12,6)\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "pwd" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "pyout", "prompt_number": 2, "text": [ "u'/Users/qingpeng/Dropbox/Work/Manuscript/2013-khmer/2013-khmer-counting/notebook'" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "def get_time_mem(filename):\n", " \"Extract the user time and max memory as generated by 'time' command\"\n", " for line in open(filename):\n", " line = line.rstrip()\n", " if 'system' in line:\n", " fields1 = line.split('user')\n", " time1 = float(fields1[0])\n", " fields1b = line.split('system')[0].split()[-1]\n", " time2 = float(fields1b)\n", " \n", " walltime = line.split('elapsed')[0].split()[-1].rsplit(':')\n", " assert len(walltime) <= 3\n", " hours = 0.\n", " minutes = 0.\n", " seconds = walltime[-1]\n", " if len(walltime) == 3:\n", " hours = float(walltime[0])\n", " minutes = float(walltime[1])\n", " elif len(walltime) == 2:\n", " minutes = float(walltime[0])\n", " \n", " wall_seconds = hours*60*60 + minutes*60 + float(walltime[1])\n", " \n", " time = wall_seconds\n", " fields2 = line.split('avgdata ')\n", " fields3 = fields2[1].split('max')\n", " mem = fields3[0]\n", " return float(time), float(mem)\n", " raise Exception(filename)\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "# read time files\n", "\n", "\n", "\n", "mkindex_time={}\n", "mkindex_mem={}\n", "suffix_time={}\n", "suffix_mem={}\n", "\n", "# tallymer runtime info\n", "# part=1 k=22 \n", "\n", "for i1 in range(1,6):\n", " for i2 in [1]:\n", " for i3 in [22]:\n", " name = \"%d_%d_%d\" % (i1, i2, i3)\n", " filename = 'mkindex_%d_part%d_%d.time' % (i1, i2, i3)\n", " filename = datadir + filename\n", " mkindex_time[name],mkindex_mem[name] = get_time_mem(filename)\n", "\n", " name = \"%d_%d\" % (i1, i2)\n", " filename = datadir + 'suffix_%d_part%d.time' % (i1, i2)\n", " suffix_time[name],suffix_mem[name] = get_time_mem(filename)\n", "\n", "# read jellyfish \n", "# k=22 and k=31\n", "\n", "jelly_count_mem = {}\n", "jelly_count_time = {}\n", "for i1 in range(1,6):\n", " for i2 in [22,31]:\n", " name = \"%d_%d\" % (i1, i2)\n", " filename = datadir + 'jelly_%d_%d.time1' % (i1, i2)\n", " jelly_count_time[name],jelly_count_mem[name] = get_time_mem(filename)\n", "\n", " \n", "jelly_hist_mem = {}\n", "jelly_hist_time = {}\n", "for i1 in range(1,6):\n", " for i2 in [22,31]:\n", " name = \"%d_%d\" % (i1, i2)\n", " filename = datadir + 'jelly_%d_%d.time2' % (i1, i2)\n", " jelly_hist_time[name],jelly_hist_mem[name] = get_time_mem(filename)\n", "\n", "# DSK use k=22\n", "\n", "dsk_mem = {}\n", "dsk_time = {}\n", "for i1 in range(1,6):\n", " for i2 in [22]:\n", " name = \"%d_%d\" % (i1, i2)\n", " filename = datadir+'dsk_%d_%d.time' % (i1, i2)\n", " dsk_time[name], dsk_mem[name] = get_time_mem(filename)\n", "\n", "# khmer use k=22 only, error rate=1% and 5%\n", "\n", "khmer_mem1 = {}\n", "khmer_time1 = {}\n", "\n", "for i1 in range(1,6):\n", " for i2 in [1,5,20]:\n", " for i3 in [22]:\n", " name = \"%d_%d_%d\" % (i1, i2, i3)\n", " filename = datadir +'bloom_%d_%d_%d.time1' % (i1, i2, i3)\n", " khmer_time1[name],khmer_mem1[name] = get_time_mem(filename)\n", "\n", " \n", "khmer_mem2 = {}\n", "khmer_time2 = {}\n", "\n", "for i1 in range(1,6):\n", " for i2 in [1,5,20]:\n", " for i3 in [22]:\n", " name = \"%d_%d_%d\" % (i1, i2, i3)\n", " filename = datadir +'bloom_%d_%d_%d.time2' % (i1, i2, i3)\n", "# khmer_time2[name],khmer_mem2[name] = get_time_mem(filename)\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "# number of unique 22-mers in different data sets\n", "\n", "def get_total_kmers(filename):\n", " total = 0\n", " for line in open(filename):\n", " line = line.rstrip()\n", " fields = line.split()\n", " total = total + int(fields[1])\n", " return total\n", "total_list = []\n", "for i in range(1,6):\n", " filename = datadir+'jelly_%d_22.hist' % (i)\n", " total = get_total_kmers(filename)\n", " total_list.append(total)\n", "\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 1\n", "=======\n", "Time usage of different khmer counting tools" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# 1. user time\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "fig.set_size_inches(6.83,4)\n", "read_counts = [9744399, 19488798, 29233197, 38977596, 48721995]\n", "\n", "L_khmer = [] # 1% error rate , k=22\n", "L_tallymer = [] # k=22, time usage is the same for part=1 or part=4, only use part=1 here\n", "L_jellyfish_k22 = [] # use k=22, but memory change with different k size. k=31. \n", "L_dsk = [] # use k=22.\n", "\n", "for i in range(1,6):\n", " L_khmer.append(khmer_time1[str(i)+'_1_22'])\n", " L_tallymer.append(suffix_time[str(i)+'_1']+mkindex_time[str(i)+'_1_22'])\n", " L_jellyfish_k22.append(jelly_count_time[str(i)+'_22'] + jelly_hist_time[str(i)+'_22'])\n", " L_dsk.append(dsk_time[str(i)+'_22'])\n", "\n", "\n", "\n", "ax.set_xlabel('Total number of reads')\n", "ax.set_ylabel('Time (s)')\n", "\n", "\n", "ax.plot(read_counts,L_khmer,'bo-', label='khmer (1% error rate)')\n", "ax.plot(read_counts,L_tallymer,'go-', label='Tallymer')\n", "ax.plot(read_counts,L_jellyfish_k22,'ro-', label='Jellyfish')\n", "ax.plot(read_counts,L_dsk,'yo-', label='DSK')\n", "\n", "#ax.set_xlim(0,3e9)\n", "#ax.set_ylim(0,6000)\n", "ax.legend(loc='best',prop={'size':8})\n", "fig_file = '../figure/time_benchmark.eps'\n", "plt.savefig(fig_file,dpi=300)\n", "#fig_file = '../figure/time_benchmark.pdf'\n", "#plt.savefig(fig_file,dpi=300)\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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752zqOdQj7l9xBLYKlMAT5SbBJ4So1PQGPZ9kfMLs1NnUcajDkuAl9G7VWwJP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\nWexXefjw4aSmpnLu3DmaN2/O7NmzGT9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"text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "print L_khmer" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[303.45, 629.87, 917.78, 1166.83, 1462.18]\n" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 2\n", "=======\n", "Memory usage of different k-mer counting tools" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "# 2. memory usage of different k-mer counting tools\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "fig.set_size_inches(6.83,4)\n", "L_khmer_1p = [] # 1% error rate , k=22\n", "L_khmer_5p = [] # 5% error rate, k=22\n", "L_khmer_20p = [] # 20% error rate, k=22\n", "L_tallymer = [] # k=22, pick biggest memory, suffix 1 part and 4 parts different memory ,but all smaller than mkindex step(same with part1 or part4). \n", "L_jellyfish_k22 = [] # use k=22, but memory change with different k size. k=31. \n", "L_jellyfish_k31 = []\n", "L_dsk = [] # use k=22.\n", "\n", "for i in range(1,6):\n", "\n", " L_khmer_1p.append(khmer_mem1[str(i)+'_1_22']/1000000)\n", " L_khmer_5p.append(khmer_mem1[str(i)+'_5_22']/1000000)\n", " L_khmer_20p.append(khmer_mem1[str(i)+'_20_22']/1000000)\n", " L_tallymer.append(mkindex_mem[str(i)+'_1_22']/1000000) # memory usage of mkindex is always bigger than suffix(part1/4)\n", " if jelly_count_mem[str(i)+'_22'] > jelly_hist_mem[str(i)+'_22']:\n", " L_jellyfish_k22.append(jelly_count_mem[str(i)+'_22']/1000000)\n", " else:\n", " L_jellyfish_k22.append(jelly_hist_mem[str(i)+'_22']/1000000)\n", "\n", " if jelly_count_mem[str(i)+'_31'] > jelly_hist_mem[str(i)+'_31']:\n", " L_jellyfish_k31.append(jelly_count_mem[str(i)+'_31']/1000000)\n", " else:\n", " L_jellyfish_k31.append(jelly_hist_mem[str(i)+'_31']/1000000)\n", " \n", " L_dsk.append(dsk_mem[str(i)+'_22']/1000000)\n", "\n", "#print L_khmer,L_tallymer,L_jellyfish_k22,L_jellyfish_k31,L_dsk\n", "\n", "ax.set_xlabel('Total number of distinct k-mers')\n", "ax.set_ylabel('Memory usage(G)')\n", "\n", "\n", "ax.plot(total_list,L_khmer_1p,'bo-', label='khmer (1% error rate)')\n", "ax.plot(total_list,L_khmer_5p,'bo--', label='khmer (5% error rate)')\n", "ax.plot(total_list,L_khmer_20p,'bo:', label='khmer (20% error rate)')\n", "ax.plot(total_list,L_tallymer,'go-', label='Tallymer')\n", "ax.plot(total_list,L_jellyfish_k22,'ro--', label='Jellyfish k=22')\n", "ax.plot(total_list,L_jellyfish_k31,'ro-', label='Jellyfish k=31')\n", "ax.plot(total_list,L_dsk,'yo-', label='DSK')\n", "\n", "ax.set_xlim(0,2.5e9)\n", "#ax.set_ylim(0,40)\n", "ax.legend(loc='best',prop={'size':8})\n", "fig_file = '../figure/memory_benchmark.eps'\n", "plt.savefig(fig_file,dpi=300)\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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8yPbt2/n0009THK9JkyZs2rQJU1NTjYNK6tDf/iFQo0YNnJ2dmThxIqDUb0us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\np05xCU+BAPjiC4XupUDAswkRhD5AS5HNkLCgIKw9r6oVubJ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"text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 3\n", "=======\n", "Disk storage usage of different k-mer counting tools" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# 3. disk usage of different k-mer counting tools\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "fig.set_size_inches(6.83,4)\n", "# from size of intermediant files on hard disk, will modify to automatically generate\n", "L_khmer = [5.5,11,15,18,21] # 1% error rate , k=22\n", "L_tallymer = [7.8,17,23,28,36] # k=22, pick biggest memory, suffix 1 part and 4 parts different memory ,but all smaller than mkindex step. \n", "L_jellyfish_k22 = [5.3,9.9,14,17,20] # use k=22, but memory change with different k size. k=31. \n", "L_dsk = [1.1,2.1,3.0,3.8,4.7] # use k=22. by default, use the size of reads file as disk usage parameter\n", "L_khmer_gz = [1284585409. / 1e9,2491325096. / 1e9, 3439743439./1e9,4254327173./1e9,5151176537./1e9]\n", "\n", "ax.set_xlabel('Total number of distinct k-mers')\n", "ax.set_ylabel('Disk usage(GB)')\n", "\n", "ax.plot(total_list,L_khmer,'bo-', label='khmer (1%)*')\n", "ax.plot(total_list,L_khmer_gz,'bo--', label='khmer (1%), compressed')\n", "ax.plot(total_list,L_tallymer,'go-', label='Tallymer')\n", "ax.plot(total_list,L_jellyfish_k22,'ro-', label='Jellyfish')\n", "ax.plot(total_list,L_dsk,'yo-', label='DSK')\n", "\n", " \n", "ax.set_ylim(0,50)\n", "ax.legend(loc='best',prop={'size':8})\n", "fig_file = '../figure/disk_benchmark.eps'\n", "plt.savefig(fig_file,dpi=300)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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uXLZt2/bAcQghhChauV0npq9OfOGFF5gwYQLt2rXD09OT999/v9jHiImMZMuMGczP0z1+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\nOPgFLWq3INgjmDEdx1hNabxWq67g5Q2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NGzfm8ccfL3SfN954AxcXF7p27Wq0/Fzeihrr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\n", "text": [ "" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 4\n", "\n", "Comparison of time it takes to count k-mers." ] }, { "cell_type": "code", "collapsed": false, "input": [ "tally_count = [ get_time_mem('../data/1_part1_22.count.time')[0],\n", " get_time_mem('../data/2_part1_22.count.time')[0],\n", " get_time_mem('../data/3_part1_22.count.time')[0],\n", " get_time_mem('../data/4_part1_22.count.time')[0],\n", " get_time_mem('../data/5_part1_22.count.time')[0] ]\n", "\n", "khmer_count = [ get_time_mem('../data/bloom_1_1_22.count.time')[0],\n", " get_time_mem('../data/bloom_2_1_22.count.time')[0],\n", " get_time_mem('../data/bloom_3_1_22.count.time')[0],\n", " get_time_mem('../data/bloom_4_1_22.count.time')[0],\n", " get_time_mem('../data/bloom_5_1_22.count.time')[0] ]\n", "\n", "jelly_count = [ get_time_mem('../data/jelly_1_22.count.time')[0],\n", " get_time_mem('../data/jelly_2_22.count.time')[0],\n", " get_time_mem('../data/jelly_3_22.count.time')[0],\n", " get_time_mem('../data/jelly_4_22.count.time')[0],\n", " get_time_mem('../data/jelly_5_22.count.time')[0] ]\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "fig.set_size_inches(6.83,4)\n", "\n", "ax.plot(total_list, khmer_count, 'bo-', label='khmer (1%)')\n", "ax.plot(total_list, tally_count, 'go-', label='Tallymer')\n", "ax.plot(total_list, jelly_count, 'ro-', label='Jellyfish')\n", "ax.legend(loc='best',prop={'size':8})\n", "ax.set_ylim(0,1600)\n", "ax.set_xlabel('Number of k-mers in database')\n", "ax.set_ylabel('Time (s)')\n", "fig_file = '../figure/count_benchmark.eps'\n", "plt.savefig(fig_file,dpi=300)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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XiTxt/zQNTGX2RkOTGVkk6QlROymKehLpvDxYvdrg7XhXb15FdVjF0kNLKbhV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\nq9XK8uXLWbZsmaYR+dVXX5GTk4PFYpnQv+LWYWh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"text": [ "" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 5\n", "=======\n", "relation between average miscount and counting error rate" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ht_size = \"100000,200000,400000,600000,800000,1000000,1200000,1400000,1800000,2200000,2600000,3000000,4000000,6000000\"\n", "HT_SIZE_array = map(int,ht_size.split(','))\n", "\n", "\n", "file_obj = open(datadir+'fp_assessment.out','r')\n", "lines = file_obj.readlines()\n", "result1 = [map(float,lines[1].split()),map(float,lines[2].split())]\n", "result2 = [map(float,lines[5].split()),map(float,lines[6].split())]\n", "result3 = [map(float,lines[9].split()),map(float,lines[10].split())]\n", "result4 = [map(float,lines[13].split()),map(float,lines[14].split())]\n", "result5 = [map(float,lines[17].split()),map(float,lines[18].split())]\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "fig.set_size_inches(6.83,4)\n", "\n", "ax.set_xlabel('counting error rate (offset>0)')\n", "ax.set_ylabel('average offset')\n", "ax.plot(result1[1],result1[0],'ro-',result2[1],result2[0],'go-',result3[1],result3[0],'bo-',result4[1],result4[0],'yo-',result5[1],result5[0],'ko-')\n", "#ax.set_xlim(0,0.2)\n", "#ax.set_ylim(0,20)\n", "ax.axis(ymax=10, ymin=-2)\n", "ax.legend(('metagenome data','random k-mers','reads with error','reads without error','E.coli reads'),loc='upper left',prop={'size':8})\n", "fig_file = '../figure/average_offset_vs_fpr.eps'\n", "plt.savefig(fig_file,dpi=300)\n", "\n", "#print result1\n", "#print result2\n", "#print result3\n", "#print result4" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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CArytLl/Y3SQNtnbp+UcffQRAREQEAwcOpEWLFlYlEC78O5QlWXBFJkoWQvyzKYqC0ag3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\nQ/qv++lPf8qbb77p6zDO2RtvvMH999/v6zBEFyMVmRBCCL8mFZkQQgi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"text": [ "" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "#Figure 6\n", "\n", "y-axis is the average of (offset/correct_count) for each k-mer\n", "\n", "Since the high diversity dataset, most of the accurate counts are 1, so for smaller hash table(high error rate), the offset(miscount) may be 2 or 3. That percentage will be 100%-200%, which is the case in the figure while counting error rate >0.7\n", "\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ht_size = \"100000,200000,400000,600000,800000,1000000,1200000\"\n", "HT_SIZE_array = map(int,ht_size.split(','))\n", "\n", "\n", "file_obj = open(datadir+'fp_assessment.out','r')\n", "lines = file_obj.readlines()\n", "result1 = numpy.array([map(float,lines[3].split()),map(float,lines[2].split())])\n", "result1[0] *= 100.\n", "result2 = numpy.array([map(float,lines[7].split()),map(float,lines[6].split())])\n", "result2[0] *= 100.\n", "result3 = numpy.array([map(float,lines[11].split()),map(float,lines[10].split())])\n", "result3[0] *= 100.\n", "result4 = numpy.array([map(float,lines[15].split()),map(float,lines[14].split())])\n", "result4[0] *= 100.\n", "result5 = numpy.array([map(float,lines[19].split()),map(float,lines[18].split())])\n", "result5[0] *= 100.\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "fig.set_size_inches(6.83,4)\n", "\n", "ax.set_xlabel('counting error rate (offset > 0)')\n", "ax.set_ylabel('Average offset (percent)')\n", "ax.plot(result1[1],result1[0],'ro-',result2[1],result2[0],'go-',result3[1],result3[0],'bo-',result4[1],result4[0],'yo-',result5[1],result5[0],'ko-')\n", "#ax.set_xlim(0,1)\n", "ax.set_ylim(0,100)\n", "ax.legend(('metagenome data','random k-mers','reads with 1% error','reads without error','E.coli reads'),loc='upper left',prop={'size':8})\n", "fig_file = '../figure/percent_offset_vs_fpr.eps'\n", "plt.savefig(fig_file,dpi=300)\n", "#ax.axis(ymax=1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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kllKpm+nyUqXssLLanWHZli12QGbJTS/L/f+36G96EWR4WRNx3rx5HDp0iKdP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\nSpX/B5Cyf1jRGXLXAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 6\n", "========\n", "Percentage of the unique k-mers starting in different position in reads" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "file17 = open(datadir+\"ecoli_ref.fastq.pos17.abund1\",'r')\n", "file32 = open(datadir+\"ecoli_ref.fastq.pos32.abund1\",'r')\n", "\n", "list1 = []\n", "list2 = []\n", "x1 = []\n", "x2 = []\n", "\n", "for line in file17:\n", " line = line.rstrip()\n", " fields = line.split()\n", " if fields[1] != '0':\n", " x1.append(float(fields[0]))\n", " list1.append(float(fields[1]))\n", "\n", "for line in file32:\n", " line = line.rstrip()\n", " fields = line.split()\n", " if fields[1] != '0':\n", " x2.append(float(fields[0]))\n", " list2.append(float(fields[1]))\n", "\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "fig.set_size_inches(6.83,4)\n", " \n", "ax.set_xlabel(\"Starting position of k-mer in read\")\n", "ax.set_ylabel(\"Number of abund=1 k-mers at that position\")\n", "\n", "ax.plot(x1,list1,'r-')\n", "ax.plot(x2,list2,'b-')\n", "ax.legend(('k=17','k=32'), loc='upper left',prop={'size':12})\n", "#plt.ylim(0,10000000)\n", "ax.set_xlim(0,100)\n", "\n", "plt.savefig(\"../figure/perc_unique_pos.eps\",dpi=300)\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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R4sWLTdqfwdG5V65cgaOjI9q0aYPi4mKMGzcOP/74o9EH3LRpE/bs2YPY2Fix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\nS0X+9BOQn88XrH7lFT5+xc2NZoPrsZoa3rgXLvB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"text": [ "" ] } ], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "print list1" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[46039.0, 45984.0, 46446.0, 47470.0, 48579.0, 50113.0, 51632.0, 53137.0, 54740.0, 56699.0, 58970.0, 61184.0, 63901.0, 66477.0, 69228.0, 71822.0, 74680.0, 77593.0, 80603.0, 83879.0, 87269.0, 90834.0, 94489.0, 98343.0, 102286.0, 106404.0, 110672.0, 115064.0, 119797.0, 124374.0, 129221.0, 134128.0, 140078.0, 146139.0, 152210.0, 158722.0, 165447.0, 172649.0, 180461.0, 188009.0, 196267.0, 204593.0, 213246.0, 222281.0, 231718.0, 241559.0, 252654.0, 263953.0, 276486.0, 289243.0, 302325.0, 317075.0, 332998.0, 349578.0, 366452.0, 383595.0, 401981.0, 420849.0, 442622.0, 464175.0, 486949.0, 511942.0, 538922.0, 565053.0, 593924.0, 621925.0, 651158.0, 684745.0, 719185.0, 753759.0, 787073.0, 822855.0, 861472.0, 905192.0, 950364.0, 994514.0, 1038587.0, 1083820.0, 1131337.0, 1181805.0, 1232100.0, 1282543.0, 1341001.0, 1402687.0]\n" ] } ], "prompt_number": 15 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 7\n", "========\n", "Number of remaining reads after iterating filtering out low-abundance reads" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "\n", "# 6. abundance filtering 1 . number of remaining reads\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "\n", "list2_x = np.arange(4)*4\n", "\n", "file_remaining = open(datadir+\"remaining_reads.wc\",'r')\n", "lines = file_remaining.readlines()\n", "\n", "list2_y2 = []# hashtable size: 1e9\n", "for i in [5,6,7,8]:\n", " fields = lines[i].split()\n", " list2_y2.append(int(fields[0])/2)\n", "\n", "list2_y3 = []# hashtable size: 1e10\n", "for i in [1,2,3,4]:\n", " fields = lines[i].split()\n", " list2_y3.append(int(fields[0])/2)\n", "\n", "ax.set_ylabel('number of remaining reads')\n", "\n", "width = 1\n", "#rects1 = ax.bar(list2_x+1,list2_y1,width,color='g')\n", "rects2 = ax.bar(list2_x+width*1,list2_y2,width,color='b')\n", "rects3 = ax.bar(list2_x+width*2,list2_y3,width,color='c')\n", "l = ax.axhline(linewidth=4, color='k',y=42458402)\n", "\n", "ax.set_xticks(list2_x+2.5)\n", "ax.set_xticklabels(('1st run','2nd run','3rd run','4th run'))\n", "\n", "ax.set_ylim((1,6e7))\n", "ax.set_xlim(0,17)\n", "\n", "ax.annotate('number of original total reads',\n", " xy=(3, 4.3e7), # \n", " xytext=(1,5e7), # \n", " xycoords='data',\n", " textcoords='data',\n", " arrowprops=dict(facecolor='black', shrink=0.01,width=2),\n", " horizontalalignment='left',\n", " verticalalignment='top',\n", " clip_on=True, # clip to the axes bounding box\n", " )\n", " \n", "plt.legend((rects2[0],rects3[0]),('hashtable size: 1e9','hashtable size: 1e10'),loc='best')\n", "fig_file = '../figure/num_remaining_reads.pdf'\n", "plt.savefig(fig_file)\n", "\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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QIWrUqJGmT5+ukydPFuncBQsWqHPnzho3bpyaNWuml156SUuWLNG5c+eKXNvVEIgBAECF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\nHzv0taD82b9/v3bv3q2OHTtKujA+Dh4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"text": [ "" ] } ], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Figure 7\n", "=======\n", "number of reads with low-abundance k-mers after iterating filtering out low-abundance reads" ] }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "# 7. abundance filtering 2 . percentage of remaining reads\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "\n", "list2_x = np.arange(4)*3\n", "\n", "file_bad = open(datadir+\"bad_reads.wc\",'r')\n", "lines = file_bad.readlines()\n", "\n", "list2_y2 = []# hashtable size: 1e9\n", "for i in [7,6,5,4]:\n", " fields = lines[i].split()\n", " list2_y2.append(int(fields[0]))\n", "\n", "list2_y3 = []# hashtable size: 1e10\n", "for i in [3,2,1,0]:\n", " fields = lines[i].split()\n", " list2_y3.append(int(fields[0]))\n", " \n", "ax.set_ylabel('number of reads with low-abundance k-mers')\n", "\n", "width = 1\n", "rects1 = ax.bar(list2_x+1,list2_y2,width,color='b')\n", "rects2 = ax.bar(list2_x+1+width*1,list2_y3,width,color='c')\n", "\n", "ax.set_xticks(list2_x+2)\n", "ax.set_xticklabels(('1st run','2nd run','3rd run','4th run'))\n", "\n", "ax.set_ylim((0,4e6))\n", "ax.set_xlim(0,13)\n", "\n", "plt.legend((rects1[0],rects2[0]),('hashtable size: 1e9','hashtable size: 1e10'),loc='best')\n", "fig_file = '../figure/num_bad_reads.pdf'\n", "plt.savefig(fig_file)\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "display_data", "png": 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N0dHRPPPMM5XWdsOGDTz99NOcPHmS3r17s2TJEho0aFApcWsGXURERKSGudpk+kqPnf9f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\notdee424uDhCQ0MZN24cjo6OJCcn4+3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"text": [ "" ] } ], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 } ], "metadata": {} } ] }