Mercurial > repos > yufei-luo > s_mart
annotate smart_toolShed/SMART/Java/Python/getReadDistribution.py @ 1:30c5431d8ce4
Uploaded
author | yufei-luo |
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date | Thu, 17 Jan 2013 11:01:51 -0500 |
parents | e0f8dcca02ed |
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rev | line source |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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1 #! /usr/bin/env python |
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2 # |
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3 # Copyright INRA-URGI 2009-2010 |
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4 # |
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5 # This software is governed by the CeCILL license under French law and |
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6 # abiding by the rules of distribution of free software. You can use, |
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7 # modify and/ or redistribute the software under the terms of the CeCILL |
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8 # license as circulated by CEA, CNRS and INRIA at the following URL |
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9 # "http://www.cecill.info". |
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10 # |
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11 # As a counterpart to the access to the source code and rights to copy, |
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12 # modify and redistribute granted by the license, users are provided only |
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13 # with a limited warranty and the software's author, the holder of the |
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14 # economic rights, and the successive licensors have only limited |
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15 # liability. |
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16 # |
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17 # In this respect, the user's attention is drawn to the risks associated |
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18 # with loading, using, modifying and/or developing or reproducing the |
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19 # software by the user in light of its specific status of free software, |
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20 # that may mean that it is complicated to manipulate, and that also |
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21 # therefore means that it is reserved for developers and experienced |
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22 # professionals having in-depth computer knowledge. Users are therefore |
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23 # encouraged to load and test the software's suitability as regards their |
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24 # requirements in conditions enabling the security of their systems and/or |
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25 # data to be ensured and, more generally, to use and operate it in the |
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26 # same conditions as regards security. |
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27 # |
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28 # The fact that you are presently reading this means that you have had |
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29 # knowledge of the CeCILL license and that you accept its terms. |
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30 # |
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31 """ |
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32 Plot the data from the data files |
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33 """ |
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34 import os |
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35 from optparse import OptionParser |
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36 from commons.core.parsing.FastaParser import FastaParser |
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37 from commons.core.parsing.FastqParser import FastqParser |
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38 from SMART.Java.Python.misc.RPlotter import RPlotter |
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39 from SMART.Java.Python.misc.Progress import Progress |
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40 from SMART.Java.Python.misc import Utils |
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41 |
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42 |
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43 if __name__ == "__main__": |
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44 |
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45 # parse command line |
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46 description = "Get Read Distribution v1.0.1: Plot the number of identical reads and give the most represented. [Category: Visualization]" |
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47 |
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48 parser = OptionParser(description = description) |
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49 parser.add_option("-i", "--input", dest="inputFileName", action="store", type="string", help="input file sequence [compulsory] [format: file in sequence format given by -f]") |
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50 parser.add_option("-f", "--format", dest="format", action="store", type="string", help="format of the file [compulsory] [format: sequence file format]") |
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51 parser.add_option("-n", "--number", dest="number", action="store", default=None, type="int", help="keep the best n [format: int]") |
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52 parser.add_option("-p", "--percent", dest="percent", action="store", default=None, type="float", help="keep the best n\% [format: float]") |
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53 parser.add_option("-o", "--output", dest="outputFileName", action="store", type="string", help="output file [compulsory] [format: output files in PNG format and txt format]") |
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54 parser.add_option("-x", "--xMax", dest="xMax", action="store", default=None, type="int", help="maximum value on the x-axis to plot [format: int]") |
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55 parser.add_option("-D", "--directory", dest="working_Dir", action="store", default=os.getcwd(), type="string", help="the directory to store the results [format: directory]") |
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56 parser.add_option("-v", "--verbosity", dest="verbosity", action="store", default=1, type="int", help="trace level [format: int]") |
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57 (options, args) = parser.parse_args() |
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58 |
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59 if options.working_Dir[-1] != '/': |
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60 options.outputFileName = options.working_Dir + '/' + options.outputFileName |
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61 |
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62 if options.format == "fasta": |
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63 parser = FastaParser(options.inputFileName, options.verbosity) |
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64 elif options.format == "fastq": |
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65 parser = FastqParser(options.inputFileName, options.verbosity) |
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66 else: |
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67 raise Exception("Do not understand '%s' file format." % (options.format)) |
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68 |
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69 progress = Progress(parser.getNbSequences(), "Reading %s" % (options.inputFileName), options.verbosity) |
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70 sequences = {} |
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71 for sequence in parser.getIterator(): |
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72 sequence = sequence.sequence |
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73 if sequence not in sequences: |
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74 sequences[sequence] = 1 |
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75 else: |
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76 sequences[sequence] += 1 |
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77 progress.inc() |
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78 progress.done() |
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79 |
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80 values = sequences.values() |
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81 values.sort() |
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82 if options.percent != None: |
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83 threshold = values[int(float(options.percent) / 100 * len(values))] |
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84 elif options.number != None: |
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85 threshold = values[-options.number] |
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86 else: |
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87 threshold = 0 |
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88 |
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89 # sort by value |
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90 progress = Progress(parser.getNbSequences(), "Sorting values", options.verbosity) |
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91 sortedValues = dict([(value, []) for value in sequences.values()]) |
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92 for sequence, value in sequences.iteritems(): |
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93 sortedValues[value].append(sequence) |
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94 progress.inc() |
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95 progress.done() |
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96 |
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97 outputFileName = "%s.txt" % (options.outputFileName) |
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98 handle = open(outputFileName, "w") |
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99 progress = Progress(parser.getNbSequences(), "Writing into %s" % (outputFileName), options.verbosity) |
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100 for value in reversed(sorted(sortedValues.keys())): |
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101 if value >= threshold: |
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102 for sequence in sortedValues[value]: |
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103 handle.write("%s\t%d\n" % (sequence, value)) |
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104 progress.inc() |
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105 progress.done() |
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106 handle.close() |
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107 |
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108 line = {} |
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109 progress = Progress(len(values), "Preparing plot", options.verbosity) |
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110 for value in values: |
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111 if value not in line: |
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112 line[value] = 1 |
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113 else: |
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114 line[value] += 1 |
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115 progress.inc() |
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116 progress.done() |
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117 |
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118 plot = RPlotter("%s.png" % (options.outputFileName), options.verbosity) |
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119 plot.setFill(0) |
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120 plot.setMaximumX(options.xMax) |
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121 plot.setXLabel("# occurrences") |
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122 plot.setYLabel("# reads") |
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123 plot.addLine(line) |
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124 plot.plot() |
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125 |
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126 if options.verbosity > 0: |
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127 print "%d/%.2f/%.1f/%d occurrences" % (Utils.getMinAvgMedMax(line)) |
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128 |
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129 |