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author | root | 2012-05-08 18:39:56 -0500 |
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committer | root | 2012-05-08 18:39:56 -0500 |
commit | ea46f42ee640928b92947bfb204c41a482d80937 (patch) | |
tree | 9b27a4eb852d12539b543c3efee9d2a47ef470f3 /web/webqtl/intervalAnalyst/GeneUtil.py | |
parent | 056b5253fc3857b0444382aa39944f6344dc1ceb (diff) | |
download | genenetwork2-ea46f42ee640928b92947bfb204c41a482d80937.tar.gz |
Add all the source codes into the github.
Diffstat (limited to 'web/webqtl/intervalAnalyst/GeneUtil.py')
-rwxr-xr-x | web/webqtl/intervalAnalyst/GeneUtil.py | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/web/webqtl/intervalAnalyst/GeneUtil.py b/web/webqtl/intervalAnalyst/GeneUtil.py new file mode 100755 index 00000000..43008ecf --- /dev/null +++ b/web/webqtl/intervalAnalyst/GeneUtil.py @@ -0,0 +1,124 @@ +# Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# +# This program is free software: you can redistribute it and/or modify it +# under the terms of the GNU Affero General Public License +# as published by the Free Software Foundation, either version 3 of the +# License, or (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. +# See the GNU Affero General Public License for more details. +# +# This program is available from Source Forge: at GeneNetwork Project +# (sourceforge.net/projects/genenetwork/). +# +# Contact Drs. Robert W. Williams and Xiaodong Zhou (2010) +# at rwilliams@uthsc.edu and xzhou15@uthsc.edu +# +# +# +# This module is used by GeneNetwork project (www.genenetwork.org) +# +# Created by GeneNetwork Core Team 2010/08/10 +# +# Last updated by GeneNetwork Core Team 2010/10/20 + +import string + +#Just return a list of dictionaries +#each dictionary contains sub-dictionary +def loadGenes(cursor, chrName, diffCol, startMb, endMb, webqtlDb =None, species='mouse'): + #cursor.execute("desc GeneList") + #results = cursor.fetchall() + #fetchFields = map(lambda X:X[0], results) + fetchFields = ['SpeciesId', 'Id', 'GeneSymbol', 'GeneDescription', 'Chromosome', 'TxStart', 'TxEnd', + 'Strand', 'GeneID', 'NM_ID', 'kgID', 'GenBankID', 'UnigenID', 'ProteinID', 'AlignID', + 'exonCount', 'exonStarts', 'exonEnds', 'cdsStart', 'cdsEnd'] + + ##List All Species in the Gene Table + speciesDict = {} + cursor.execute("select Species.Name, GeneList.SpeciesId from Species, GeneList where \ + GeneList.SpeciesId = Species.Id group by GeneList.SpeciesId") + results = cursor.fetchall() + for item in results: + speciesDict[item[0]] = item[1] + + ##List current Species and other Species + speciesId = speciesDict[species] + otherSpecies = map(lambda X: [X, speciesDict[X]], speciesDict.keys()) + otherSpecies.remove([species, speciesId]) + + cursor.execute("""SELECT %s from GeneList + where + SpeciesId = %d AND Chromosome = '%s' AND + ((TxStart > %f and TxStart <= %f) OR (TxEnd > %f and TxEnd <= %f)) + order by txStart + """ + % (string.join(fetchFields, ", "), speciesId, chrName, startMb, endMb, startMb, endMb)) + results = cursor.fetchall() + GeneList = [] + + if results: + for result in results: + newdict = {} + for j, item in enumerate(fetchFields): + newdict[item] = result[j] + #count SNPs if possible + if diffCol and species=='mouse': + cursor.execute(""" + select + count(*) from BXDSnpPosition + where + Chr = '%s' AND Mb >= %2.6f AND Mb < %2.6f AND + StrainId1 = %d AND StrainId2 = %d + """ % (chrName, newdict["TxStart"], newdict["TxEnd"], diffCol[0], diffCol[1])) + newdict["snpCount"] = cursor.fetchone()[0] + newdict["snpDensity"] = newdict["snpCount"]/(newdict["TxEnd"]-newdict["TxStart"])/1000.0 + else: + newdict["snpDensity"] = newdict["snpCount"] = 0 + + try: + newdict['GeneLength'] = 1000.0*(newdict['TxEnd'] - newdict['TxStart']) + except: + pass + + #load gene from other Species by the same name + for item in otherSpecies: + othSpec, othSpecId = item + newdict2 = {} + + cursor.execute("SELECT %s from GeneList where SpeciesId = %d and geneSymbol= '%s' limit 1" % + (string.join(fetchFields, ", "), othSpecId, newdict["GeneSymbol"])) + resultsOther = cursor.fetchone() + if resultsOther: + for j, item in enumerate(fetchFields): + newdict2[item] = resultsOther[j] + + #count SNPs if possible, could be a separate function + if diffCol and othSpec == 'mouse': + cursor.execute(""" + select + count(*) from BXDSnpPosition + where + Chr = '%s' AND Mb >= %2.6f AND Mb < %2.6f AND + StrainId1 = %d AND StrainId2 = %d + """ % (chrName, newdict["TxStart"], newdict["TxEnd"], diffCol[0], diffCol[1])) + + newdict2["snpCount"] = cursor.fetchone()[0] + newdict2["snpDensity"] = newdict2["snpCount"]/(newdict2["TxEnd"]-newdict2["TxStart"])/1000.0 + else: + newdict2["snpDensity"] = newdict2["snpCount"] = 0 + + try: + newdict2['GeneLength'] = 1000.0*(newdict2['TxEnd'] - newdict2['TxStart']) + except: + pass + + newdict['%sGene' % othSpec] = newdict2 + + GeneList.append(newdict) + + return GeneList + + |