Mercurial > repos > yufei-luo > s_mart
annotate smart_toolShed/SMART/Java/Python/GetFlanking.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 2009-2011 |
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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 from optparse import OptionParser |
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32 from commons.core.parsing.ParserChooser import ParserChooser |
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33 from commons.core.writer.TranscriptWriter import TranscriptWriter |
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34 from SMART.Java.Python.structure.Transcript import Transcript |
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35 from SMART.Java.Python.structure.Interval import Interval |
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36 from SMART.Java.Python.misc.Progress import Progress |
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37 |
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38 QUERY = 0 |
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39 REFERENCE = 1 |
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40 INPUTS = (QUERY, REFERENCE) |
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41 STRANDS = (-1, 1) |
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42 TAG_DISTANCE = "distance_" |
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43 TAG_SENSE = "_sense" |
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44 TAG_REGION = "_region" |
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45 TAGS_REGION = {-1: "_upstream", 0: "", 1: "_downstream"} |
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46 TAGS_RREGION = {-1: "upstream", 0: "overlapping", 1: "downstream"} |
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47 TAGS_SENSE = {-1: "antisense", 0: "", 1: "colinear"} |
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48 STRANDSTOSTR = {-1: "(-)", 0: "", 1: "(+)"} |
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49 |
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50 |
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51 def getOrderKey(transcript, direction): |
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52 if direction == 1: |
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53 return transcript.getEnd() |
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54 return - transcript.getStart() |
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55 |
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56 def isInGoodRegion(transcriptRef, transcriptQuery, direction): |
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57 if direction == 1: |
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58 return transcriptQuery.getEnd() > transcriptRef.getEnd() |
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59 return transcriptQuery.getStart() < transcriptRef.getStart() |
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60 |
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61 |
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62 class GetFlanking(object): |
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63 |
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64 def __init__(self, verbosity): |
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65 self.verbosity = verbosity |
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66 self.transcripts = dict([id, {}] for id in INPUTS) |
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67 self.directions = [] |
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68 self.noOverlap = False |
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69 self.colinear = False |
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70 self.antisense = False |
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71 self.distance = None |
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72 self.minDistance = None |
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73 self.maxDistance = None |
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74 self.tagName = "flanking" |
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75 |
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76 def setInputFile(self, fileName, format, id): |
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77 chooser = ParserChooser(self.verbosity) |
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78 chooser.findFormat(format) |
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79 parser = chooser.getParser(fileName) |
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80 for transcript in parser.getIterator(): |
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81 chromosome = transcript.getChromosome() |
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82 if chromosome not in self.transcripts[id]: |
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83 self.transcripts[id][chromosome] = [] |
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84 self.transcripts[id][chromosome].append(transcript) |
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85 |
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86 def setOutputFile(self, fileName): |
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87 self.writer = TranscriptWriter(fileName, "gff3", self.verbosity) |
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88 |
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89 def addUpstreamDirection(self, upstream): |
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90 if upstream: |
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91 self.directions.append(-1) |
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92 |
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93 def addDownstreamDirection(self, downstream): |
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94 if downstream: |
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95 self.directions.append(1) |
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96 |
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97 def setColinear(self, colinear): |
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98 self.colinear = colinear |
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99 |
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100 def setAntisense(self, antisense): |
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101 self.antisense = antisense |
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102 |
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103 def setNoOverlap(self, noOverlap): |
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104 self.noOverlap = noOverlap |
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105 |
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106 def setMinDistance(self, distance): |
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107 self.minDistance = distance |
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108 |
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109 def setMaxDistance(self, distance): |
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110 self.maxDistance = distance |
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111 |
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112 def setNewTagName(self, tagName): |
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113 self.tagName = tagName |
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114 |
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115 def match(self, transcriptRef, transcriptQuery, direction): |
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116 if self.noOverlap and transcriptRef.overlapWith(transcriptQuery): |
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117 return False |
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118 if self.colinear and transcriptRef.getDirection() != transcriptQuery.getDirection(): |
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119 return False |
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120 if self.antisense and transcriptRef.getDirection() == transcriptQuery.getDirection(): |
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121 return False |
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122 if self.minDistance != None or self.maxDistance != None: |
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123 distance = transcriptRef.getDistance(transcriptQuery) |
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124 if self.minDistance != None and distance < self.minDistance: |
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125 return False |
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126 if self.maxDistance != None and distance > self.maxDistance: |
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127 return False |
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128 return True |
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129 |
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130 def getFlanking(self, direction): |
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131 for chromosome in sorted(self.transcripts[REFERENCE].keys()): |
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132 if chromosome not in self.transcripts[QUERY]: |
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133 continue |
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134 sortedTranscripts = dict([id, {}] for id in INPUTS) |
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135 for id in INPUTS: |
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136 sortedTranscripts[id] = sorted(self.transcripts[id][chromosome], key = lambda t: getOrderKey(t, direction)) |
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137 refIndex = 0 |
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138 currentRefs = [] |
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139 outputs = set() |
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140 progress = Progress(len(sortedTranscripts[QUERY]), "Reading chr %s %s" % (chromosome, STRANDSTOSTR[direction]), self.verbosity) |
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141 for query in sortedTranscripts[QUERY]: |
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142 while refIndex < len(sortedTranscripts[REFERENCE]) and isInGoodRegion(sortedTranscripts[REFERENCE][refIndex], query, direction): |
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143 currentRefs.append(sortedTranscripts[REFERENCE][refIndex]) |
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144 refIndex += 1 |
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145 nextCurrentRefs = [] |
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146 for currentRef in currentRefs: |
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147 if self.match(currentRef, query, direction): |
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148 if currentRef not in self.flankings: |
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149 self.flankings[currentRef] = {} |
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150 self.flankings[currentRef][direction * currentRef.getDirection()] = query |
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151 else: |
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152 nextCurrentRefs.append(currentRef) |
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153 currentRefs = nextCurrentRefs |
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154 progress.inc() |
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155 progress.done() |
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156 |
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157 def setTags(self, query, reference, direction): |
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158 refName = reference.getTagValue("ID") |
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159 if refName == None: |
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160 refName = reference.getName() |
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161 if refName == None: |
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162 refName = reference.__str__() |
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163 query.setTagValue("%s%s" % (self.tagName, TAGS_REGION[direction]), refName) |
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164 query.setTagValue("%s_%s%s" % (TAG_DISTANCE, self.tagName, TAGS_REGION[direction]), query.getDistance(reference)) |
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165 if direction == 0: |
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166 query.setTagValue("%s_%s" % (TAG_SENSE, self.tagName), TAGS_SENSE[query.getDirection() * reference.getDirection()]) |
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167 query.setTagValue("%s_%s" % (TAG_REGION, self.tagName), TAGS_RREGION[cmp(query.getRelativeDistance(reference), 0)]) |
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168 for tag in reference.getTagNames(): |
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169 if tag not in ("quality", "feature"): |
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170 query.setTagValue("%s%s_%s" % (self.tagName, TAGS_REGION[direction], tag), reference.getTagValue(tag)) |
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171 return query |
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172 |
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173 def write(self): |
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174 outputs = set() |
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175 progress = Progress(len(self.flankings.keys()), "Printing data", self.verbosity) |
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176 for transcriptRef in self.flankings.keys(): |
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177 if self.directions: |
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178 for direction in self.directions: |
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179 if direction in self.flankings[transcriptRef]: |
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180 query = self.flankings[transcriptRef][direction] |
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181 outputs.add(self.setTags(query, transcriptRef, direction)) |
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182 else: |
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183 if self.flankings[transcriptRef]: |
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184 query = sorted(self.flankings[transcriptRef].values(), key = lambda query: query.getDistance(transcriptRef))[0] |
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185 outputs.add(self.setTags(query, transcriptRef, 0)) |
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186 progress.inc() |
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187 for transcript in sorted(list(outputs), key = lambda flanking: (flanking.getChromosome(), flanking.getStart(), flanking.getEnd())): |
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188 self.writer.addTranscript(transcript) |
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189 self.writer.close() |
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190 progress.done() |
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191 |
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192 def run(self): |
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193 self.flankings = {} |
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194 for direction in STRANDS: |
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195 self.getFlanking(direction) |
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196 self.write() |
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197 |
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198 if __name__ == "__main__": |
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199 |
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200 description = "Get Flanking v1.0.1: Get the flanking regions of a set of reference. [Category: Data Selection]" |
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201 |
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202 parser = OptionParser(description = description) |
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203 parser.add_option("-i", "--input1", dest="inputFileName1", action="store", type="string", help="query input file [compulsory] [format: file in transcript format given by -f]") |
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204 parser.add_option("-f", "--format1", dest="format1", action="store", type="string", help="format of previous file [compulsory] [format: transcript file format]") |
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205 parser.add_option("-j", "--input2", dest="inputFileName2", action="store", type="string", help="reference input file [compulsory] [format: file in transcript format given by -g]") |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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206 parser.add_option("-g", "--format2", dest="format2", action="store", type="string", help="format of previous file [compulsory] [format: transcript file format]") |
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207 parser.add_option("-5", "--upstream", dest="upstream", action="store_true", default=False, help="output upstream elements [format: boolean] [default: False]") |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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208 parser.add_option("-3", "--downstream", dest="downstream", action="store_true", default=False, help="output downstream elements [format: boolean] [default: False]") |
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209 parser.add_option("-c", "--colinear", dest="colinear", action="store_true", default=False, help="find first colinear element [format: boolean] [default: False]") |
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210 parser.add_option("-a", "--antisense", dest="antisense", action="store_true", default=False, help="find first anti-sense element [format: boolean] [default: False]") |
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211 parser.add_option("-e", "--noOverlap", dest="noOverlap", action="store_true", default=False, help="do not consider elements which are overlapping reference elements [format: boolean] [default: False]") |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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212 parser.add_option("-d", "--minDistance", dest="minDistance", action="store", default=None, type="int", help="minimum distance between 2 elements [format: int]") |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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213 parser.add_option("-D", "--maxDistance", dest="maxDistance", action="store", default=None, type="int", help="maximum distance between 2 elements [format: int]") |
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214 parser.add_option("-t", "--tag", dest="tagName", action="store", default="flanking", type="string", help="name of the new tag [format: string] [default: flanking]") |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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215 parser.add_option("-o", "--output", dest="outputFileName", action="store", type="string", help="output file [format: output file in GFF3 format]") |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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216 parser.add_option("-v", "--verbosity", dest="verbosity", action="store", default=1, type="int", help="trace level [format: int]") |
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217 (options, args) = parser.parse_args() |
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218 |
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219 gf = GetFlanking(options.verbosity) |
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220 gf.setInputFile(options.inputFileName1, options.format1, QUERY) |
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221 gf.setInputFile(options.inputFileName2, options.format2, REFERENCE) |
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222 gf.setOutputFile(options.outputFileName) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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223 gf.addUpstreamDirection(options.upstream) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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224 gf.addDownstreamDirection(options.downstream) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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225 gf.setColinear(options.colinear) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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226 gf.setAntisense(options.antisense) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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227 gf.setNoOverlap(options.noOverlap) |
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Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
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228 gf.setMinDistance(options.minDistance) |
e0f8dcca02ed
Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
yufei-luo
parents:
diff
changeset
|
229 gf.setMaxDistance(options.maxDistance) |
e0f8dcca02ed
Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
yufei-luo
parents:
diff
changeset
|
230 gf.setNewTagName(options.tagName) |
e0f8dcca02ed
Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
yufei-luo
parents:
diff
changeset
|
231 gf.run() |