view SMART/Java/Python/getRandomRegions.py @ 6:769e306b7933

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#! /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
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# The fact that you are presently reading this means that you have had
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"""Find random regions in a genome"""

import random, math
from optparse import OptionParser
from commons.core.parsing.FastaParser import *
from commons.core.writer.Gff3Writer import *
from commons.core.writer.MySqlTranscriptWriter import *
from SMART.Java.Python.misc.Progress import *
from SMART.Java.Python.structure.Transcript import Transcript
from SMART.Java.Python.structure.TranscriptContainer import TranscriptContainer

repetitions = 100


class RandomRegionsGenerator(object):

    def __init__(self, verbosity):
        self.verbosity      = verbosity
        self.strands        = False
        self.distribution   = "uniform"
        self.transcripts    = None
        self.sequenceParser = None
        random.seed()


    def setInput(self, fileName):
        self.sequenceParser = FastaParser(fileName, self.verbosity)


    def setGenomeSize(self, size):
        self.genomeSize = size


    def setChromosomeName(self, name):
        self.chromosomeName = name


    def setAnnotation(self, fileName, format):
        parser           = TranscriptContainer(fileName, format, self.verbosity)
        self.transcripts = []
        for transcript in parser.getIterator():
            self.transcripts.append(transcript)
        self.setNumber(len(self.transcripts))
        self.setSize(0)


    def setOutputFile(self, fileName):
        self.outputFileName = fileName


    def setSize(self, size):
        self.minSize = size
        self.maxSize = size


    def setMinSize(self, size):
        self.minSize = size


    def setMaxSize(self, size):
        self.maxSize = size


    def setNumber(self, number):
        self.number = number


    def setStrands(self, strands):
        self.strands = strands


    def setMaxDistribution(self, maxElements):
        if maxElements == None:
            return
        self.maxElements = maxElements
        self.distribution = "gaussian"


    def setDeviationDistribution(self, deviation):
        if deviation == None:
            return
        self.deviation = deviation
        self.distribution = "gaussian"


    def getSizes(self):
        if self.sequenceParser == None:
            self.chromosomes    = [self.chromosomeName]
            self.sizes          = {self.chromosomeName: self.genomeSize}
            self.cumulatedSize  = self.genomeSize
            self.cumulatedSizes = {self.chromosomeName: self.genomeSize}
            return
        self.chromosomes    = self.sequenceParser.getRegions()
        self.sizes          = {}
        self.cumulatedSize  = 0
        self.cumulatedSizes = {}
        for chromosome in self.chromosomes:
            self.sizes[chromosome]          = self.sequenceParser.getSizeOfRegion(chromosome)
            self.cumulatedSize             += self.sizes[chromosome]
            self.cumulatedSizes[chromosome] = self.cumulatedSize


    def findPosition(self, size = None):
        if size == None:
            size = random.randint(self.minSize, self.maxSize)
        integer = random.randint(0, self.cumulatedSize)
        for chromosome in self.chromosomes:
            if self.cumulatedSizes[chromosome] > integer:
                break
        start = random.randint(1, self.sizes[chromosome] - size)
        return (chromosome, start, size)


    def createTranscript(self, chromosome, start, size, strand, cpt):
        transcript = Transcript()
        transcript.setChromosome(chromosome)
        transcript.setStart(start)
        transcript.setEnd(start + size-1)
        transcript.setDirection(strand)
        transcript.setName("rand_%d" % (cpt))
        return transcript


    def moveTranscript(self, chromosome, start, transcript):
        while transcript.getEnd() + start - transcript.getStart() > self.cumulatedSizes[chromosome]:
            chromosome, start, size = self.findPosition(transcript.getEnd() - transcript.getStart())
        transcript.setChromosome(chromosome)
        oldStart, oldEnd = transcript.getStart(), transcript.getEnd()
        if transcript.getNbExons() > 1:
            for exon in transcript.getNbExons():
                oldExonStart, oldExonEnd = exon.getStart(), exon.getEnd()
                exon.setStart(oldExonStart + start - oldStart)
                exon.setEnd(oldExonEnd + start - oldStart)
        transcript.setStart(start)
        transcript.setEnd(oldEnd + start - oldStart)
        return [transcript]


    def createUniformCluster(self, chromosome, start, size, strand, cpt):
        transcript = self.createTranscript(chromosome, start, size, strand, cpt)
        return [transcript]


    def findNbTranscripts(self, cpt):
        return min(int(round(math.exp(random.random() * math.log(self.maxElements)))), self.number - cpt + 1)


    def getDev(self):
        deviation = 0.0
        for j in range(repetitions):
            deviation += random.randint(-self.deviation, self.deviation)
        deviation /= repetitions
        deviation  = int(round(deviation))
        return deviation


    def createGaussianCluster(self, chromosome, start, size, strand, cpt):
        transcripts   = []
        nbTranscripts = self.findNbTranscripts(cpt)
        for i in range(nbTranscripts):
            transcript = self.createTranscript(chromosome, start + self.getDev(), size + self.getDev(), strand, cpt + i)
            transcripts.append(transcript)
        return transcripts


    def writeRegions(self):
        writer     = Gff3Writer(self.outputFileName, self.verbosity)
        outputFile = open(self.outputFileName, "w")
        progress   = Progress(self.number, "Writing to %s" % (self.outputFileName), self.verbosity)
        i          = 0
        while i < self.number:
            chromosome, start, size = self.findPosition()
            strand                  = random.choice([-1, 1]) if self.strands else 1
            if self.transcripts != None:
                transcripts = self.moveTranscript(chromosome, start, self.transcripts[i])
            elif self.distribution == "uniform":
                transcripts = self.createUniformCluster(chromosome, start, size, strand, i+1)
            else:
                transcripts = self.createGaussianCluster(chromosome, start, size, strand, i+1)
            for transcript in transcripts:
                writer.addTranscript(transcript)
                i += 1
                progress.inc()
        progress.done()
        outputFile.close()
        writer.write()
        writer.close()


    def run(self):
        self.getSizes()
        self.writeRegions()


if __name__ == "__main__":
    
    # parse command line
    description = "Get Random Regions v1.0.2: Get some random coordinates on a genome. May use uniform or gaussian distribution (in gaussion distribution, # of element per cluster follows a power law). [Category: Other]"

    parser = OptionParser(description = description)
    parser.add_option("-r", "--reference",     dest="reference",      action="store",      default=None,  type="string", help="file that contains the sequences [format: file in FASTA format]")
    parser.add_option("-S", "--referenceSize", dest="referenceSize",  action="store",      default=None,  type="int",    help="size of the chromosome (when no reference is given) [format: int]")
    parser.add_option("-c", "--chromosome",    dest="chromosome",     action="store",      default=None,  type="string", help="name of the chromosome (when no reference is given) [format: string]")
    parser.add_option("-o", "--output",        dest="outputFileName", action="store",                     type="string", help="output file [compulsory] [format: output file in FASTA format]")
    parser.add_option("-i", "--input",         dest="inputFileName",  action="store",      default=None,  type="string", help="optional file containing regions to shuffle [format: file in transcript format given by -f]")
    parser.add_option("-f", "--format",        dest="format",         action="store",      default=None,  type="string", help="format of the previous file [format: transcript file format]")
    parser.add_option("-s", "--size",          dest="size",           action="store",      default=None,  type="int",    help="size of the regions (if no region set is provided) [format: int]")
    parser.add_option("-z", "--minSize",       dest="minSize",        action="store",      default=None,  type="int",    help="minimum size of the regions (if no region set nor a fixed size are provided) [format: int]")
    parser.add_option("-Z", "--maxSize",       dest="maxSize",        action="store",      default=None,  type="int",    help="maximum size of the regions (if no region set nor a fixed size are provided) [format: int]")
    parser.add_option("-n", "--number",        dest="number",         action="store",      default=None,  type="int",    help="number of regions (if no region set is provided) [format: int]")
    parser.add_option("-t", "--strands",       dest="strands",        action="store_true", default=False,                help="use both strands (if no region set is provided) [format: boolean]")
    parser.add_option("-m", "--max",           dest="max",            action="store",      default=None,  type="int",    help="max. # reads in a cluster (for Gaussian dist.) [format: int]")
    parser.add_option("-d", "--deviation",     dest="deviation",      action="store",      default=None,  type="int",    help="deviation around the center of the cluster (for Gaussian dist.) [format: int]")
    parser.add_option("-v", "--verbosity",     dest="verbosity",      action="store",      default=1,     type="int",    help="trace level [format: int]")
    (options, args) = parser.parse_args()

    rrg = RandomRegionsGenerator(options.verbosity)
    if options.reference == None:
        rrg.setGenomeSize(options.referenceSize)
        rrg.setChromosomeName(options.chromosome)
    else:
        rrg.setInput(options.reference)
    rrg.setOutputFile(options.outputFileName)
    if options.inputFileName == None:
        if options.size != None:
            rrg.setSize(options.size)
        else:
            rrg.setMinSize(options.minSize)
            rrg.setMaxSize(options.maxSize)
        rrg.setNumber(options.number)
        rrg.setStrands(options.strands)
    else:
        rrg.setAnnotation(options.inputFileName, options.format)
    rrg.setMaxDistribution(options.max)
    rrg.setDeviationDistribution(options.deviation)
    rrg.run()