Mercurial > repos > yufei-luo > s_mart
diff SMART/Java/Python/getLetterDistribution.py @ 36:44d5973c188c
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author | m-zytnicki |
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date | Tue, 30 Apr 2013 15:02:29 -0400 |
parents | 769e306b7933 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/SMART/Java/Python/getLetterDistribution.py Tue Apr 30 15:02:29 2013 -0400 @@ -0,0 +1,153 @@ +#! /usr/bin/env python +# +# Copyright INRA-URGI 2009-2010 +# +# This software is governed by the CeCILL license under French law and +# abiding by the rules of distribution of free software. You can use, +# modify and/ or redistribute the software under the terms of the CeCILL +# license as circulated by CEA, CNRS and INRIA at the following URL +# "http://www.cecill.info". +# +# As a counterpart to the access to the source code and rights to copy, +# modify and redistribute granted by the license, users are provided only +# with a limited warranty and the software's author, the holder of the +# economic rights, and the successive licensors have only limited +# liability. +# +# In this respect, the user's attention is drawn to the risks associated +# with loading, using, modifying and/or developing or reproducing the +# software by the user in light of its specific status of free software, +# that may mean that it is complicated to manipulate, and that also +# therefore means that it is reserved for developers and experienced +# professionals having in-depth computer knowledge. Users are therefore +# encouraged to load and test the software's suitability as regards their +# requirements in conditions enabling the security of their systems and/or +# data to be ensured and, more generally, to use and operate it in the +# same conditions as regards security. +# +# The fact that you are presently reading this means that you have had +# knowledge of the CeCILL license and that you accept its terms. +# +"""Get the size distribution of a Fasta / BED file""" + +import os +from optparse import OptionParser +from commons.core.parsing.FastaParser import * +from SMART.Java.Python.misc.Progress import * +from SMART.Java.Python.misc.RPlotter import * +from commons.core.parsing.ParserChooser import ParserChooser + + +def writeCVSfile(outHandler): + for pos in range(len(letters)): + posTrue = pos +1 + outHandler.write( "%s;" % (posTrue)) + for letter in lettersRate: + if positionRate[letter].has_key(pos): + outHandler.write("%s=%.2f%s;" %(letter, positionRate[letter][pos], "%")) + else: + outHandler.write("%s=0%s;" % (letter, "%")) + outHandler.write("\n") + +if __name__ == "__main__": + + # parse command line + description = "Get Letter Distribution v1.0.1: Compute the distribution of nucleotides of a set of genomic coordinates. [Category: Visualization]" + + parser = OptionParser(description = description) + parser.add_option("-i", "--input", dest="inputFileName", action="store", type="string", help="input file to be analyzed [compulsory] [format: file in sequence format given by -f]") + parser.add_option("-f", "--format", dest="format", action="store", type="string", help="format of file [format: sequence file format]") + parser.add_option("-o", "--output", dest="outputFileName", action="store", type="string", help="output file [compulsory] [format: output file in PNG format]") + parser.add_option("-v", "--verbosity", dest="verbosity", action="store", default=1, type="int", help="trace level [format: int]") + parser.add_option("-c", "--csv", dest="csv", action="store_true", default=False, help="write a .csv file [format: bool] [default: false]") + parser.add_option("-l", "--log", dest="log", action="store_true", default=False, help="write a log file [format: bool] [default: false]") + (options, args) = parser.parse_args() + + chooser = ParserChooser() + chooser.findFormat(options.format) + parser = chooser.getParser(options.inputFileName) + nbSequences = parser.getNbSequences() + print "%i sequences read" % (nbSequences) + + # treat items + progress = Progress(nbSequences, "Analyzing sequences of " + options.inputFileName, options.verbosity) + nbLettersTotal = 0 + nbLetters = {} + lettersRate = {} + nbPositions = {} + positionCount = {} + positionRate = {} + nbPositionRate = {} + for sequence in parser.getIterator(): + letters = sequence.getSequence() + thisNbLettersTotal = sequence.getSize() + nbLettersTotal += thisNbLettersTotal + thisNbLetters = {} + + for pos in range(len(letters)): + letter = letters[pos] + if letter not in thisNbLetters: + thisNbLetters[letter] = 1 + else: + thisNbLetters[letter] += 1 + if pos+1 not in nbPositions: + nbPositions[pos+1] = 1 + else: + nbPositions[pos+1] += 1 + if letter not in positionCount: + positionCount[letter] = {} + if pos+1 not in positionCount[letter]: + positionCount[letter][pos+1] = 1 + else: + positionCount[letter][pos+1] += 1 + + for letter in thisNbLetters: + if letter not in nbLetters: + nbLetters[letter] = thisNbLetters[letter] + else: + nbLetters[letter] += thisNbLetters[letter] + if letter not in lettersRate: + lettersRate[letter] = {} + rate = int(float(thisNbLetters[letter]) / thisNbLettersTotal * 100) + if rate not in lettersRate[letter]: + lettersRate[letter][rate] = 1 + else: + lettersRate[letter][rate] += 1 + progress.inc() + progress.done() + + for letter in positionCount: + positionRate[letter] = {} + for pos in positionCount[letter]: + positionRate[letter][pos] = positionCount[letter][pos] / float(nbPositions[pos]) * 100 + for pos in nbPositions: + nbPositionRate[pos] = nbPositions[pos] / float(nbPositions[1]) * 100 + + # plot content distributions + plotter = RPlotter("%s.png" % (options.outputFileName), options.verbosity, True) + plotter.setFill(0) + plotter.setLegend(True) + for letter in lettersRate: + plotter.addLine(lettersRate[letter], letter) + plotter.plot() + + # plot distribution per position + plotter = RPlotter("%sPerNt.png" % (options.outputFileName), options.verbosity, True) + plotter.setFill(0) + plotter.setLegend(True) + plotter.setXLabel("Position on the read") + plotter.setYLabel("Percentage") + for letter in positionRate: + plotter.addLine(positionRate[letter], letter) + plotter.addLine(nbPositionRate, "#") + plotter.plot() + + if options.csv: + outHandler = open("%s.csv" % (options.outputFileName), "w") + writeCVSfile(outHandler) + outHandler.close() + + print "%d sequences" % (nbSequences) + print "%d letters" % (nbLettersTotal) + for letter in nbLetters: + print "%s: %d (%.2f%%)" % (letter, nbLetters[letter], float(nbLetters[letter]) / nbLettersTotal * 100)