Mercurial > repos > yufei-luo > s_mart
annotate smart_toolShed/commons/core/coord/MatchUtils.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 # Copyright INRA (Institut National de la Recherche Agronomique) |
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2 # http://www.inra.fr |
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3 # http://urgi.versailles.inra.fr |
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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 math |
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32 import os |
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33 import sys |
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34 from commons.core.coord.Match import Match |
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35 from commons.core.checker.RepetException import RepetException |
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36 |
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37 ## Static methods for the manipulation of Match instances |
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38 # |
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39 class MatchUtils ( object ): |
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40 |
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41 ## Return a list with Match instances from the given file |
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42 # |
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43 # @param inFile name of a file in the Match format |
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44 # @return a list of Match instances |
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45 # |
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46 def getMatchListFromFile(inFile ): |
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47 lMatchInstances = [] |
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48 inFileHandler = open( inFile, "r" ) |
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49 while True: |
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50 line = inFileHandler.readline() |
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51 if line == "": |
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52 break |
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53 if line[0:10] == "query.name": |
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54 continue |
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55 m = Match() |
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56 m.setFromString( line ) |
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57 lMatchInstances.append( m ) |
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58 inFileHandler.close() |
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59 return lMatchInstances |
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60 |
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61 getMatchListFromFile = staticmethod( getMatchListFromFile ) |
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62 |
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63 ## Split a Match list in several Match lists according to the subject |
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64 # |
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65 # @param lMatches a list of Match instances |
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66 # @return a dictionary which keys are subject names and values Match lists |
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67 # |
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68 def getDictOfListsWithSubjectAsKey( lMatches ): |
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69 dSubject2MatchList = {} |
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70 for iMatch in lMatches: |
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71 if not dSubject2MatchList.has_key( iMatch.range_subject.seqname ): |
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72 dSubject2MatchList[ iMatch.range_subject.seqname ] = [] |
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73 dSubject2MatchList[ iMatch.range_subject.seqname ].append( iMatch ) |
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74 return dSubject2MatchList |
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75 |
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76 getDictOfListsWithSubjectAsKey = staticmethod( getDictOfListsWithSubjectAsKey ) |
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77 |
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78 ## Split a Match list in several Match lists according to the query |
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79 # |
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80 # @param lMatches a list of Match instances |
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81 # @return a dictionary which keys are query names and values Match lists |
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82 # |
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83 def getDictOfListsWithQueryAsKey ( lMatches ): |
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84 dQuery2MatchList = {} |
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85 for iMatch in lMatches: |
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86 if not dQuery2MatchList.has_key( iMatch.range_query.seqname ): |
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87 dQuery2MatchList[ iMatch.range_query.seqname ] = [] |
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88 dQuery2MatchList[ iMatch.range_query.seqname ].append( iMatch ) |
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89 return dQuery2MatchList |
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90 |
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91 getDictOfListsWithQueryAsKey = staticmethod( getDictOfListsWithQueryAsKey ) |
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92 |
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93 ## Write Match instances contained in the given list |
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94 # |
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95 # @param lMatches a list of Match instances |
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96 # @param fileName name of the file to write the Match instances |
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97 # @param mode the open mode of the file ""w"" or ""a"" |
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98 # |
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99 def writeListInFile( lMatches, fileName, mode="w", header=None ): |
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100 fileHandler = open( fileName, mode ) |
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101 if header: |
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102 fileHandler.write( header ) |
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103 for iMatch in lMatches: |
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104 iMatch.write( fileHandler ) |
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105 fileHandler.close() |
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106 |
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107 writeListInFile = staticmethod( writeListInFile ) |
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108 |
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109 ## Give path id list from a list of Match instances |
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110 # |
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111 # @param lMatch list of Match instances |
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112 # |
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113 # @return lId integer list |
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114 # |
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115 def getIdListFromMatchList(lMatch): |
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116 lId = [] |
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117 for iMatch in lMatch: |
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118 lId.append(iMatch.id) |
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119 return lId |
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120 |
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121 getIdListFromMatchList = staticmethod(getIdListFromMatchList) |
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122 |
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123 ## Remove duplicated matches in a match list |
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124 # ## replace old PyRepet.MatchDB.rmvDoublons() |
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125 # @param lMatch list of Match instances |
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126 # |
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127 # @return lMatchesUniq match unique list |
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128 # |
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129 def rmvDuplicateMatches(lMatch): |
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130 lMatchesUniq = [] |
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131 for match in lMatch: |
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132 if len(lMatchesUniq) == 0: |
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133 lMatchesUniq.append( match ) |
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134 else: |
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135 nbDoublons = 0 |
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136 for m in lMatchesUniq: |
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137 if match.isDoublonWith( m ): |
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138 nbDoublons += 1 |
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139 if nbDoublons == 0: |
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140 lMatchesUniq.append( match ) |
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141 |
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142 for match1 in lMatchesUniq: |
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143 for match2 in lMatchesUniq: |
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144 if match1.id != match2.id: |
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145 if match1.isDoublonWith( match2 ): |
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146 raise RepetException ( "*** Error: doublon not removed" ) |
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147 return lMatchesUniq |
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148 |
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149 rmvDuplicateMatches = staticmethod(rmvDuplicateMatches) |
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150 |
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151 ## Return the list of queries 'included' in subjects when two different databanks are used. |
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152 ##replace old pyRepet.MatchDB.filterDiffQrySbj() |
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153 # |
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154 # @param iBioseqDB bioseqDB databank of queries |
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155 # |
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156 # @param thresIdentity float identity threshold |
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157 # |
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158 # @param thresLength float length threshold |
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159 # |
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160 # @param verbose int verbosity |
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161 # |
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162 # @return lMatches match list to keep according to length and identity thresholds |
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163 #TODO: don't take into account match for sequence against itself. To do ? |
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164 def filterDiffQrySbj(iBioseqDB, matchFile, thresIdentity=0.95, thresLength=0.98, verbose=0 ): |
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165 if verbose > 0: |
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166 print "filtering matches (id>=%.2f,qlgth>=%.2f)..." % ( thresIdentity, thresLength ); sys.stdout.flush() |
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167 |
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168 thresIdentityPerc = math.floor( thresIdentity*100 ) |
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169 lQryToKeep = [] |
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170 dQry2Matches = MatchUtils.getDictOfListsWithQueryAsKey(MatchUtils.getMatchListFromFile(matchFile)) |
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171 |
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172 for seqH in iBioseqDB.idx.keys(): |
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173 # keep it if it has no match |
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174 if not dQry2Matches.has_key( seqH ): |
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175 if seqH not in lQryToKeep: |
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176 lQryToKeep.append( seqH ) |
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177 else: |
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178 isConditionsMet = False |
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179 for match in dQry2Matches[ seqH ]: |
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180 # check if they are above the thresholds |
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181 if match.identity >= thresIdentityPerc and match.query_length_perc >= thresLength: |
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182 isConditionsMet = True |
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183 break |
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184 if not isConditionsMet and seqH not in lQryToKeep: |
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185 lQryToKeep.append( seqH ) |
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186 return lQryToKeep |
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187 |
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188 filterDiffQrySbj = staticmethod(filterDiffQrySbj) |
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189 |
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190 ## Count the number of distinct matches involved in at least one match above the thresholds. |
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191 ##replace old pyRepet.coord.MatchDB.getNbDistinctSbjWithThres() and pyRepet.coord.MatchDB.getNbDistinctSbjWithThres() |
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192 # @param thresIdentity float identity threshold |
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193 # |
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194 # @param thresLength float length threshold |
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195 # |
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196 def getNbDistinctSequencesInsideMatchesWithThresh(lMatches, thresIdentity=0.95, thresLength=0.98, whatToCount="query" ): |
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197 thresIdentityPerc = math.floor( thresIdentity*100 ) |
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198 countSbj = 0 |
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199 if whatToCount.lower() == "query": |
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200 dMatches = MatchUtils.getDictOfListsWithQueryAsKey(lMatches) |
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201 else: |
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202 dMatches = MatchUtils.getDictOfListsWithSubjectAsKey(lMatches) |
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203 |
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204 for qry in dMatches.keys(): |
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205 countMatch = 0 |
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206 for match in dMatches[ qry ]: |
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207 |
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208 if match.identity >= thresIdentityPerc and getattr(match,whatToCount.lower() +"_length_perc") >= thresLength: |
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209 countMatch += 1 |
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210 if countMatch > 0: |
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211 countSbj += 1 |
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212 return countSbj |
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213 |
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214 getNbDistinctSequencesInsideMatchesWithThresh = staticmethod(getNbDistinctSequencesInsideMatchesWithThresh) |
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215 |
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216 ## Convert a 'match' file (output from Matcher) into an 'align' file |
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217 ## replace old parser.tab2align |
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218 # |
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219 # @param inFileName a string input file name |
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220 # |
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221 def convertMatchFileToAlignFile(inFileName): |
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222 basename = os.path.splitext(inFileName)[0] |
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223 outFileName = "%s.align" % basename |
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224 outFile = open(outFileName, "w") |
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225 |
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226 lMatches = MatchUtils.getMatchListFromFile(inFileName) |
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227 |
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228 for match in lMatches: |
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229 string = "%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n" % ( match.getQueryName(), match.getQueryStart(), match.getQueryEnd(), match.getSubjectName(), match.getSubjectStart(), match.getSubjectEnd(), match.getEvalue(), match.getScore(), match.getIdentity() ) |
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230 outFile.write( string ) |
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231 |
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232 outFile.close() |
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233 |
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234 convertMatchFileToAlignFile = staticmethod(convertMatchFileToAlignFile) |
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235 |
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236 ## Convert a 'match' file (output from Matcher) into an 'abc' file (MCL input file) |
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237 # Use coverage on query for arc value |
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238 # |
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239 # @param matchFileName string input match file name |
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240 # @param outFileName string output abc file name |
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241 # @param coverage float query coverage filter threshold |
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242 # |
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243 @staticmethod |
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244 def convertMatchFileIntoABCFileOnQueryCoverage(matchFileName, outFileName, coverage = 0): |
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245 with open(matchFileName) as inF: |
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246 with open(outFileName, "w") as outF: |
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247 inF.readline() |
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248 inLine = inF.readline() |
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249 while inLine: |
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250 splittedLine = inLine.split("\t") |
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251 if float(splittedLine[4]) >= coverage: |
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252 outLine = "\t".join([splittedLine[0], splittedLine[6], splittedLine[4]]) |
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253 outLine += "\n" |
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254 outF.write(outLine) |
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255 inLine = inF.readline() |
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256 |
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257 ## Adapt the path IDs as the input file is the concatenation of several 'Match' files, and remove the extra header lines. |
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258 ## replace old parser.tabnum2id |
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259 # |
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260 # @param fileName a string input file name |
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261 # @param outputFileName a string output file name (optional) |
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262 # |
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263 def generateMatchFileWithNewPathId(fileName, outputFileName=None): |
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264 if outputFileName is None: |
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265 outFile = open(fileName, "w") |
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266 else: |
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267 outFile = open(outputFileName, "w") |
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268 outFile.write("query.name\tquery.start\tquery.end\tquery.length\tquery.length.%\tmatch.length.%\tsubject.name\tsubject.start\tsubject.end\tsubject.length\tsubject.length.%\tE.value\tScore\tIdentity\tpath\n") |
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269 |
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270 lMatches = MatchUtils.getMatchListFromFile(fileName) |
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271 count = 1 |
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272 dMatchKeyIdcount = {} |
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273 |
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274 for match in lMatches: |
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275 key_id = str(match.getIdentifier()) + "-" + match.getQueryName() + "-" + match.getSubjectName() |
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276 if not key_id in dMatchKeyIdcount.keys(): |
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277 newPath = count |
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278 count += 1 |
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279 dMatchKeyIdcount[ key_id ] = newPath |
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280 else: |
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281 newPath = dMatchKeyIdcount[ key_id ] |
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282 |
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283 match.id = newPath |
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284 outFile.write( match.toString()+"\n" ) |
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285 outFile.close() |
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286 |
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287 generateMatchFileWithNewPathId = staticmethod(generateMatchFileWithNewPathId) |
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288 |