Mercurial > repos > yufei-luo > s_mart
annotate smart_toolShed/SMART/Java/Python/clusterizeBySlidingWindows.py @ 0:e0f8dcca02ed
Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
author | yufei-luo |
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date | Thu, 17 Jan 2013 10:52:14 -0500 |
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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 import re |
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32 from commons.core.writer.WriterChooser import WriterChooser |
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33 """ |
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34 Cluster the data into regions (defined by size and overlap with next region) and keep only highest peaks. |
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35 """ |
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36 |
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37 import os, os.path |
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38 from optparse import OptionParser |
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39 from SMART.Java.Python.structure.Transcript import Transcript |
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40 from SMART.Java.Python.structure.TranscriptContainer import TranscriptContainer |
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41 from SMART.Java.Python.misc.RPlotter import RPlotter |
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42 from SMART.Java.Python.misc.Progress import Progress |
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43 from commons.core.writer.Gff3Writer import Gff3Writer |
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44 |
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45 class ClusterizeBySlidingWindows(object): |
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46 |
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47 def __init__(self, verbosity = 0): |
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48 self.verbosity = verbosity |
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49 self.strands = (0, ) |
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50 self.normalize = False |
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51 self.plot = None |
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52 self.excel = None |
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53 self.outputFileName = '' |
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54 self.defaultValue = None |
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55 |
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56 def __del__(self): |
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57 pass |
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58 |
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59 def setInputFile(self, fileName, format): |
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60 self.parser = TranscriptContainer(fileName, format, self.verbosity) |
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61 |
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62 def setOutputFileName(self, fileName, format="gff", title="S-MART", feature="transcript", featurePart="exon"): |
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63 writerChooser = WriterChooser(self.verbosity) |
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64 writerChooser.findFormat(format) |
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65 self.writer = writerChooser.getWriter(fileName) |
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66 self.writer.setTitle(title) |
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67 self.writer.setFeature(feature) |
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68 self.writer.setFeaturePart(featurePart) |
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69 # self.outputFileName = fileName |
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70 # self.outputFormat = format |
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71 |
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72 def setWindowSize(self, size): |
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73 self.size = size |
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74 |
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75 def setWindowOverlap(self, overlap): |
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76 self.overlap = overlap |
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77 |
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78 def setTag(self, tag): |
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79 self.tag = tag |
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80 |
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81 def setOperation(self, operation): |
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82 self.operation = operation |
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83 |
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84 def setBothStrands(self, bothStrands): |
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85 if bothStrands: |
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86 self.strands = (-1, 1) |
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87 |
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88 def setNormalize(self, normalize): |
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89 self.normalize = normalize |
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90 |
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91 def setPlot(self, plot): |
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92 self.plot = plot |
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93 |
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94 def setExcel(self, excel): |
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95 self.excel = excel |
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96 |
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97 def setOutputTag(self, tag): |
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98 self.outputTagName = tag |
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99 |
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100 def setDefaultValue(self, defaultValue): |
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101 self.defaultValue = defaultValue |
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102 |
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103 def checkOptions(self): |
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104 # if self.operation != None: |
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105 # raise Exception("Trying to combine the values without specifying tag! Aborting...") |
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106 if self.operation != None and self.operation not in ("sum", "avg", "med", "min", "max"): |
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107 raise Exception("Do not understand tag '%s'! Aborting..." % (self.operation)) |
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108 |
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109 def getChromosomeSizes(self): |
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110 self.sizes = {} |
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111 progress = Progress(self.parser.getNbTranscripts(), "Getting sizes in genome", self.verbosity) |
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112 for transcript in self.parser.getIterator(): |
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113 self.sizes[transcript.getChromosome()] = max(transcript.getStart(), self.sizes.get(transcript.getChromosome(), 0)) |
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114 progress.inc() |
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115 progress.done() |
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116 |
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117 def getBinsFromPos(self, pos): |
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118 bin = (pos - 1) / (self.size - self.overlap) |
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119 if bin >= 1 and pos <= bin * (self.size - self.overlap) + self.overlap: |
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120 return (bin - 1, bin) |
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121 return (bin, ) |
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122 |
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123 def getPosFromBin(self, bin): |
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124 return (bin * (self.size - self.overlap) + 1, bin * (self.size - self.overlap) + self.size) |
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125 |
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126 def initializeBins(self): |
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127 self.binsPerStrand = {} |
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128 self.sumsPerStrand = {} |
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129 self.valuesPerStrand = {} |
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130 self.toBePlottedPerStrand = {} |
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131 for strand in self.strands: |
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132 self.binsPerStrand[strand] = {} |
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133 self.sumsPerStrand[strand] = {} |
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134 self.valuesPerStrand[strand] = {} |
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135 self.toBePlottedPerStrand[strand] = {} |
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136 for chromosome in self.sizes: |
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137 binRange = range(self.getBinsFromPos(self.sizes[chromosome])[-1] + 1) |
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138 self.binsPerStrand[strand][chromosome] = dict([[i, 0] for i in binRange]) |
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139 self.sumsPerStrand[strand][chromosome] = dict([[i, 0.0] for i in binRange]) |
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140 self.valuesPerStrand[strand][chromosome] = dict([[i, []] for i in binRange]) |
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141 self.toBePlottedPerStrand[strand][chromosome] = dict([[i, 0] for i in binRange]) |
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142 |
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143 def getNbElements(self, transcript): |
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144 nbOccurrences = 1 if "nbOccurrences" not in transcript.getTagNames() else transcript.getTagValue("nbOccurrences") |
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145 nbElements = 1 if "nbElements" not in transcript.getTagNames() else transcript.getTagValue("nbElements") |
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146 nbOccurrences = float(nbOccurrences) |
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147 nbElements = float(nbElements) |
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148 nbElements /= float(nbOccurrences) |
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149 return nbElements |
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150 |
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151 def setBins(self): |
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152 progress = Progress(self.parser.getNbTranscripts(), "Setting bins", self.verbosity) |
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153 for transcript in self.parser.getIterator(): |
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154 nbElements = self.getNbElements(transcript) |
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155 strand = transcript.getDirection() if len(self.strands) == 2 else 0 |
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156 for bin in self.getBinsFromPos(transcript.getStart()): |
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157 self.binsPerStrand[strand][transcript.getChromosome()][bin] += nbElements |
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158 if self.tag != None: |
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159 if self.tag not in transcript.getTagNames(): |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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160 if self.defaultValue is None: |
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161 raise Exception("Tag %s undefined in transcript %s" % (self.tag, transcript)) |
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162 value = self.defaultValue |
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163 else: |
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164 value = float(transcript.getTagValue(self.tag)) |
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165 self.sumsPerStrand[strand][transcript.getChromosome()][bin] += value |
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166 self.valuesPerStrand[strand][transcript.getChromosome()][bin].append(value) |
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167 progress.inc() |
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168 progress.done() |
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169 |
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170 def aggregateData(self): |
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171 if self.operation == "sum": |
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172 self.computeSumData() |
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173 elif self.operation == "avg": |
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174 self.computeAvgData() |
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175 elif self.operation == "med": |
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176 self.computeMedData() |
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177 elif self.operation == "min": |
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178 self.computeMinData() |
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179 elif self.operation == "max": |
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180 self.computeMaxData() |
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181 elif self.operation == "GCpercent": |
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182 self.computeGCPercent() |
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183 else: |
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184 self.toBePlottedPerStrand = self.binsPerStrand |
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185 |
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186 def computeSumData(self): |
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187 self.toBePlottedPerStrand = self.sumsPerStrand |
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188 |
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189 def computeAvgData(self): |
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190 for strand in self.strands: |
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191 for chromosome in self.binsPerStrand[strand]: |
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192 for bin in self.binsPerStrand[strand][chromosome]: |
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193 if self.binsPerStrand[strand][chromosome][bin] != 0: |
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194 self.toBePlottedPerStrand[strand][chromosome][bin] = float(self.sumsPerStrand[strand][chromosome][bin]) / self.binsPerStrand[strand][chromosome][bin] |
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195 |
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196 def computeMedData(self): |
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197 for strand in self.strands: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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198 for chromosome in self.binsPerStrand[strand]: |
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199 for bin in self.binsPerStrand[strand][chromosome]: |
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200 if self.valuesPerStrand[strand][chromosome][bin]: |
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201 self.valuesPerStrand[strand][chromosome][bin].sort() |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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202 size = len(self.valuesPerStrand[strand][chromosome][bin]) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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203 if size % 2 == 1: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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204 self.toBePlottedPerStrand[strand][chromosome][bin] = self.valuesPerStrand[strand][chromosome][bin][(size - 1) / 2] |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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205 else: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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206 self.toBePlottedPerStrand[strand][chromosome][bin] = (self.valuesPerStrand[strand][chromosome][bin][size / 2 - 1] + self.valuesPerStrand[strand][chromosome][bin][size / 2]) / 2.0 |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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207 |
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208 def computeMinData(self): |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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209 for strand in self.strands: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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210 for chromosome in self.binsPerStrand[strand]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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211 for bin in self.binsPerStrand[strand][chromosome]: |
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212 if self.valuesPerStrand[strand][chromosome][bin]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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213 self.toBePlottedPerStrand[strand][chromosome][bin] = min(self.valuesPerStrand[strand][chromosome][bin]) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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214 |
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215 def computeMaxData(self): |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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216 for strand in self.strands: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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217 for chromosome in self.binsPerStrand[strand]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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218 for bin in self.binsPerStrand[strand][chromosome]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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219 if self.valuesPerStrand[strand][chromosome][bin]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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220 self.toBePlottedPerStrand[strand][chromosome][bin] = max(self.valuesPerStrand[strand][chromosome][bin]) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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221 |
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222 def computeGCPercent(self): |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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223 for strand in self.strands: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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224 for chromosome in self.binsPerStrand[strand]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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225 for bin in self.binsPerStrand[strand][chromosome]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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226 if self.valuesPerStrand[strand][chromosome][bin]: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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227 subSequence = self.valuesPerStrand[strand][chromosome][bin] |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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228 NPercent = 100 * (subSequence.countNt("N") / float(subSequence.getSize())) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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229 if NPercent >= 50: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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230 currentGCpercent = "NA" |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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231 else: |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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232 currentGCpercent = subSequence.getGCpercentageInSequenceWithoutCountNInLength() |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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233 |
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234 self.toBePlottedPerStrand[strand][chromosome][bin] = currentGCpercent |
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235 #TODO: see if a map method could be used for the various "compute" methods |
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236 #return currentGCpercent, NPercent |
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237 |
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238 def plotData(self): |
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239 if self.plot != None: |
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240 for strand in self.strands: |
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241 adjunct = "" |
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242 if strand != 0: |
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243 adjunct = "Strand%d" % (strand) |
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244 for chromosome in self.toBePlottedPerStrand[strand]: |
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245 if len(self.toBePlottedPerStrand[strand][chromosome].keys()) > 0: |
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246 plotter = RPlotter(self.plot, self.verbosity) |
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247 plotter.setFill(0) |
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248 plotter.addLine(self.toBePlottedPerStrand[strand][chromosome], chromosome) |
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249 plotter.plot() |
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250 |
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251 def writeExcel(self): |
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252 if self.excel != None: |
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253 excelFile = open(self.excel, "w") |
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254 for strand in self.strands: |
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255 maxBin = max([max(self.toBePlottedPerStrand[strand][chromosome].keys()) for chromosome in self.binsPerStrand[strand]]) |
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256 for bin in range(0, maxBin + 1): |
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257 excelFile.write(",%d-%d" % self.getPosFromBin(bin)) |
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258 excelFile.write("\n") |
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259 for chromosome in self.toBePlottedPerStrand[strand]: |
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260 excelFile.write("%s" % (chromosome)) |
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261 for bin in self.toBePlottedPerStrand[strand][chromosome]: |
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262 excelFile.write(",%f" % (self.toBePlottedPerStrand[strand][chromosome][bin])) |
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263 excelFile.write("\n") |
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264 excelFile.close() |
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265 |
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266 def printRegions(self): |
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267 cpt = 1 |
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268 tagOp = "nb" |
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269 tagName = "Elements" |
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270 outputTagName = "nbElements" |
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271 if self.operation != None: |
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272 tagOp = self.operation.lower() |
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273 if self.tag != None: |
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274 tagName = self.tag.title() |
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275 if self.outputTagName != None: |
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276 outputTagName = self.outputTagName |
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277 |
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278 |
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279 #writer = Gff3Writer(self.outputFileName, self.verbosity) |
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280 |
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281 for strand in self.strands: |
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282 for chromosome in self.toBePlottedPerStrand[strand]: |
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283 for bin in self.toBePlottedPerStrand[strand][chromosome]: |
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284 transcript = Transcript() |
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285 transcript.setName("region%d" % cpt) |
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286 transcript.setChromosome(chromosome) |
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287 transcript.setStart(self.getPosFromBin(bin)[0]) |
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288 transcript.setEnd(self.getPosFromBin(bin)[1]) |
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289 transcript.setDirection(1 if strand == 0 else strand) |
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290 transcript.setTagValue(outputTagName, self.binsPerStrand[strand][chromosome][bin]) |
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291 transcript.setTagValue("%s%s" % (tagOp, tagName), str(self.toBePlottedPerStrand[strand][chromosome][bin])) |
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292 self.writer.addTranscript(transcript) |
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293 cpt += 1 |
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294 self.writer.close() |
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295 |
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296 def run(self): |
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297 self.checkOptions() |
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298 self.getChromosomeSizes() |
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299 self.initializeBins() |
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300 self.setBins() |
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301 self.aggregateData() |
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302 if self.excel: |
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303 self.writeExcel() |
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304 if self.plot: |
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305 self.plotData() |
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306 self.printRegions() |
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307 |
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308 |
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309 if __name__ == "__main__": |
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310 |
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311 # parse command line |
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312 description = "Clusterize by Sliding Windows v1.0.1: Produces a GFF3 file that clusters a list of transcripts using a sliding window. [Category: Sliding Windows]" |
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313 |
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314 parser = OptionParser(description = description) |
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315 parser.add_option("-i", "--input", dest="inputFileName", action="store", type="string", help="input file [compulsory] [format: file in transcript format given by -f]") |
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316 parser.add_option("-f", "--inputFormat", dest="inputFormat", action="store", type="string", help="format of the input file [compulsory] [format: transcript file format]") |
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317 parser.add_option("-o", "--output", dest="outputFileName", action="store", type="string", help="output file [compulsory] [format: output file in transcript format given by -u]") |
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318 parser.add_option("-u", "--outputFormat", dest="outputFormat", action="store", default="gff", type="string", help="format of the output file [format: transcript file format]") |
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319 parser.add_option("-s", "--size", dest="size", action="store", type="int", help="size of the regions [compulsory] [format: int]") |
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320 parser.add_option("-e", "--overlap", dest="overlap", action="store", type="int", help="overlap between two consecutive regions [compulsory] [format: int]") |
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321 parser.add_option("-m", "--normalize", dest="normalize", action="store_true", default=False, help="normalize the number of reads per cluster by the number of mappings per read [format: bool] [default: false]") |
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322 parser.add_option("-g", "--tag", dest="tag", action="store", default=None, type="string", help="use a given tag as input (instead of summing number of features) [format: string]") |
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323 parser.add_option("-r", "--operation", dest="operation", action="store", default=None, type="string", help="combine tag value with given operation [format: choice (sum, avg, med, min, max)]") |
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324 parser.add_option("-d", "--defaultValue",dest="defaultValue", action="store", type="float", help="default value for input tag [format: float]") |
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325 parser.add_option("-w", "--write", dest="writeTag", action="store", default=None, type="string", help="print the result in the given tag (default usually is 'nbElements') [format: string]") |
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326 parser.add_option("-2", "--strands", dest="strands", action="store_true", default=False, help="consider the two strands separately [format: bool] [default: false]") |
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327 parser.add_option("-p", "--plot", dest="plot", action="store", default=None, type="string", help="plot regions to the given file [format: output file in PNG format]") |
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328 parser.add_option("-x", "--excel", dest="excel", action="store", default=None, type="string", help="write an Excel file to the given file [format: output file in Excel format]") |
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329 parser.add_option("-v", "--verbosity", dest="verbosity", action="store", default=1, type="int", help="trace level [format: int] [default: 1]") |
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330 (options, args) = parser.parse_args() |
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331 |
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332 cbsw = ClusterizeBySlidingWindows(options.verbosity) |
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333 cbsw.setInputFile(options.inputFileName, options.inputFormat) |
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334 cbsw.setOutputFileName(options.outputFileName, options.outputFormat) |
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335 cbsw.setWindowSize(options.size) |
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336 cbsw.setWindowOverlap(options.overlap) |
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337 cbsw.setTag(options.tag) |
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338 cbsw.setDefaultValue(options.defaultValue) |
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339 cbsw.setOperation(options.operation) |
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340 cbsw.setOutputTag(options.writeTag) |
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341 cbsw.setBothStrands(options.strands) |
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342 cbsw.setPlot(options.plot) |
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343 cbsw.setExcel(options.excel) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
yufei-luo
parents:
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changeset
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344 cbsw.run() |