def callMotifPwmScanCov(args, confDict, fileList):
"""
The main function to perfrom motif PWM scanning and coverage on a testing file
Args:
args: the object that holds the input args
confDict: the dict of the input configuration file
fileList: list of files to be added to the results directory
Returns:
"""
#get the PWM file to scan for
pwmFileName = confDict['input']['pwm_file']
#read the PWM file and make a motif dict between motif IDs (names) and the motif objects which have PWM lines. Also return two dicts between the motif anmes and IDs and vice versa
motifDict = general_utils.makeMotifDictFromPwmFile(pwmFileName)
print 'len motifDict:', len(motifDict)
#find the total number of seqs in the testing file
foreNumSeqs = general_utils.findNumSeqs(confDict['input']['fore_testing_file'])
#make a list of all seq names in the foreground data set
foreSeqList = general_utils.findSeqList(confDict['input']['fore_testing_file'])
#make a list of all seq names in the background data set
backSeqList = general_utils.findSeqList(confDict['input']['back_testing_file'])
#run the FIMO tool on the foreground data set
fimoParaDict = {}
fimoParaDict['thresh'] = confDict['fimo']['pvalue']
#fimo output directory name
fimoOutDir = args.jid + '_foreground_Fimo'
Fimo.callFimo(confDict['input']['fore_testing_file'] , pwmFileName, fimoParaDict, fimoOutDir)
fileList.append(fimoOutDir)
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif ID and seq hits in the foeground testing file
fimoDict = Fimo.parseFimo(fimoOutDir+'/fimo.txt', strand)
#write the motifs in the format for sequence coverge algorithms
motifSeqFileName = args.jid + '_fore_motif_hits_in_seqs'
general_utils.writeMotifSeqFile(fimoDict, motifSeqFileName)
fileList.append(motifSeqFileName)
#check if motif refinement requested to remove redundant motifs when applying the seq_cov algthms
#the tomtomDict will be used with the seq coverage algorithm. The dict is between all the motifs to check their similarity
tomtomDict = {}
if confDict['motif_refine']['app'] == 'tomtom_refine':
print 'Peform motif refine using tomtom'
#dict that stores parameters for the tomtom tool
tomParaDict = {}
tomParaDict['evalue'] = confDict['tomtom_refine']['evalue']
#tomtom output directory name
tomtomOutDir = args.jid + '_Tomtom_refine'
#we are comparing the motifs against each other, so use the same PWM file
Tomtom.callTomtom(confDict['input']['pwm_file'], confDict['input']['pwm_file'], tomParaDict, tomtomOutDir)
fileList.append(tomtomOutDir)
#parse the tomtom output file and return a dict between motif Name and list[] of motifs that match it
tomtomDict = Tomtom.parse(tomtomOutDir+'/tomtom.txt')
#process the seq cov file
motifIdDict, idMotifDict, seqIdDict, idSeqDict, Uset, Sdict = general_utils.processMotifHitFile_1(motifSeqFileName)
#call the seq cov algthm
minSetIdList = []
minSeqSet = set()
#set the filtering values for later
filterThresh = 0
filterMinNumSeq = 0
#this dict is between a depth value and a tuple of motif Ids, seq sets, and newly added seqs by each motif
depthDict = {}
#just a tmp check will be removed later
makeLogo = 'false'
#####
#ILP
####
if confDict['sequence.coverage']['app'] == 'ILP' and confDict['motif_refine']['app'] == 'none':
print 'ILP algorithm'
depth = int(confDict['ILP']['depth'])
#this dict is between a depth value and a list of motif IDs
depthDict = ILP.callILPDepth(args.jid, fimoDict, tomtomDict, depth, fileList)
print 'len:', len(depthDict)
#if there is a background file use it for comparison purposes
if confDict['input']['back_testing_file'] != 'none':
#run the FIMO tool for the background sequences
fimoParaDict = {}
fimoParaDict['thresh'] = confDict['fimo']['pvalue']
#fimo output directory name
fimoOutDir = args.jid + '_background_Fimo'
Fimo.callFimo(confDict['input']['back_testing_file'] , pwmFileName, fimoParaDict, fimoOutDir)
fileList.append(fimoOutDir)
#find number of sequences in the background file
backNumSeqs = general_utils.findNumSeqs(confDict['input']['back_testing_file'])
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif names and seq hits in the background file
backFimoDict = Fimo.parseFimo(fimoOutDir+'/fimo.txt', strand)
#write the motifs in the format for sequence coverge algorithms
motifSeqFileName = args.jid + '_back_motif_hits_in_seqs'
general_utils.writeMotifSeqFile(backFimoDict, motifSeqFileName)
fileList.append(motifSeqFileName)
#no filtering
filterMinNumSeq = 0
#output results
for depthVal in sorted(depthDict.iterkeys(), key=int):
depthOutFileName = args.jid + '_depth_results_'+ str(depthVal) + '.csv'
finalSelectMotifList = outputResults(depthOutFileName, depthDict, backFimoDict, filterMinNumSeq, idMotifDict,foreNumSeqs, backNumSeqs)
print 'final:', finalSelectMotifList
fileList.append(depthOutFileName)
####
#branch and cut
####
if confDict['sequence.coverage']['app'] == 'branch_cut' and confDict['motif_refine']['app'] == 'none':
print 'Branch and cut algorithm'
depth = int(confDict['branch_cut']['depth'])
#this dict is between a depth value and a list of motif IDs
depthDict = branch_cut.callBranchDepth(args.jid, fimoDict, tomtomDict, depth, fileList)
print 'len:', len(depthDict)
#if there is a background file use it for comparison purposes
if confDict['input']['back_testing_file'] != 'none':
#run the FIMO tool for the background sequences
fimoParaDict = {}
fimoParaDict['thresh'] = confDict['fimo']['pvalue']
#fimo output directory name
fimoOutDir = args.jid + '_background_Fimo'
Fimo.callFimo(confDict['input']['back_testing_file'] , pwmFileName, fimoParaDict, fimoOutDir)
fileList.append(fimoOutDir)
#find number of sequences in the background file
backNumSeqs = general_utils.findNumSeqs(confDict['input']['back_testing_file'])
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif names and seq hits in the background file
backFimoDict = Fimo.parseFimo(fimoOutDir+'/fimo.txt', strand)
#write the motifs in the format for sequence coverge algorithms
motifSeqFileName = args.jid + '_back_motif_hits_in_seqs'
general_utils.writeMotifSeqFile(backFimoDict, motifSeqFileName)
fileList.append(motifSeqFileName)
#no filtering
filterMinNumSeq = 0
#output results
for depthVal in sorted(depthDict.iterkeys(), key=int):
depthOutFileName = args.jid + '_depth_results_'+ str(depthVal) + '.csv'
finalSelectMotifList = outputResults(depthOutFileName, depthDict, backFimoDict, filterMinNumSeq, idMotifDict,foreNumSeqs, backNumSeqs)
print 'final:', finalSelectMotifList
fileList.append(depthOutFileName)
####
#required cover
####
if confDict['sequence.coverage']['app'] == 'required_cover' and confDict['motif_refine']['app'] == 'none':
print 'Required cover algorithm'
depth = int(confDict['required_cover']['depth'])
#this dict is between a depth value and a list of motif IDs
depthDict = required_cover.callRequiredDepth(args.jid, fimoDict, tomtomDict, depth, fileList)
print 'len:', len(depthDict)
#if there is a background file use it for comparison purposes
if confDict['input']['back_testing_file'] != 'none':
#run the FIMO tool for the background sequences
fimoParaDict = {}
fimoParaDict['thresh'] = confDict['fimo']['pvalue']
#fimo output directory name
fimoOutDir = args.jid + '_background_Fimo'
Fimo.callFimo(confDict['input']['back_testing_file'] , pwmFileName, fimoParaDict, fimoOutDir)
fileList.append(fimoOutDir)
#find number of sequences in the background file
backNumSeqs = general_utils.findNumSeqs(confDict['input']['back_testing_file'])
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif names and seq hits in the background file
backFimoDict = Fimo.parseFimo(fimoOutDir+'/fimo.txt', strand)
#write the motifs in the format for sequence coverge algorithms
motifSeqFileName = args.jid + '_back_motif_hits_in_seqs'
general_utils.writeMotifSeqFile(backFimoDict, motifSeqFileName)
fileList.append(motifSeqFileName)
#no filtering
filterMinNumSeq = 0
#output results
for depthVal in sorted(depthDict.iterkeys(), key=int):
depthOutFileName = args.jid + '_depth_results_'+ str(depthVal) + '.csv'
finalSelectMotifList = outputResults(depthOutFileName, depthDict, backFimoDict, filterMinNumSeq, idMotifDict,foreNumSeqs, backNumSeqs)
print 'final:', finalSelectMotifList
fileList.append(depthOutFileName)
####
#greedy filtered (greedyFilt) and refinement
####
if confDict['sequence.coverage']['app'] == 'greedyFilt' and confDict['motif_refine']['app'] == 'tomtom_refine':
depth = int(confDict['greedyFilt']['depth'])
if confDict['greedyFilt']['filter'] == 'true':
#get the threshold value from the configure file
filterThresh = float(confDict['greedyFilt']['filter_threshold'])
filterMinNumSeq = filterThresh * foreNumSeqs
print 'Perform filtered greedy sequence coverage with refinement and depth:', depth
#this dict is between a depth value and a tuple of motif Ids, seq sets, and newly added seqs by each motif
#depthDict = greedy.callGreedyDepthRefine(Uset, Sdict, depth, tomtomDict, motifIdDict, idMotifDict, filterMinNumSeq)
depthDict = greedy.callGreedyFiltRefine(Uset, Sdict, depth, tomtomDict, motifIdDict, idMotifDict, filterMinNumSeq)
#if there is a background file use it for comaprison purposes
if confDict['input']['back_testing_file'] != 'none':
#run the FIMO tool for the background sequences
fimoParaDict = {}
fimoParaDict['thresh'] = confDict['fimo']['pvalue']
#fimo output directory name
fimoOutDir = args.jid + '_background_Fimo'
Fimo.callFimo(confDict['input']['back_testing_file'] , pwmFileName, fimoParaDict, fimoOutDir)
fileList.append(fimoOutDir)
#find number of sequences in the background file
backNumSeqs = general_utils.findNumSeqs(confDict['input']['back_testing_file'])
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif names and seq hits in the background file
backFimoDict = Fimo.parseFimo(fimoOutDir+'/fimo.txt', strand)
#write the motifs in the format for sequence coverge algorithms
motifSeqFileName = args.jid + '_back_motif_hits_in_seqs'
general_utils.writeMotifSeqFile(backFimoDict, motifSeqFileName)
fileList.append(motifSeqFileName)
#output results
depthOutFileName = args.jid + '_depth_results.csv'
finalSelectMotifList = outputResults(depthOutFileName, depthDict, backFimoDict, filterMinNumSeq, idMotifDict, foreNumSeqs, backNumSeqs)
fileList.append(depthOutFileName)
####
#check if want to produce motif logos
####
if confDict['motif.logo']['opt'] == 'true':
if makeLogo == 'false':
#get all the motif IDs from all the depths
mIdList = []
for depthVal in sorted(depthDict.iterkeys(), key=int):
mIdList.extend(depthDict[depthVal][0])
seqCovPwmFileName = args.jid + '_seqCovMotifs.pwm'
logoDirName = args.jid + '_seqCovLogo'
fileList.append(seqCovPwmFileName)
fileList.append(logoDirName)
general_utils.makeMotifLogo(mIdList, motifDict, logoDirName, seqCovPwmFileName, idMotifDict, 'cov', finalSelectMotifList)
def callMotifPwmScanOnly(args, confDict, fileList):
"""
"""
#get the PWM file to scan for
pwmFileName = confDict['input']['pwm_file']
#find the total number of seqs in the testing file
foreNumSeqs = general_utils.findNumSeqs(confDict['input']['fore_testing_file'])
if confDict['input']['back_testing_file'] != 'none':
backNumSeqs = general_utils.findNumSeqs(confDict['input']['back_testing_file'])
#read the PWM file and get the order of the motifs so to be used when reporting the results
orderMotifList = getPwmOrder(pwmFileName)
#run the FIMO tool for froeground file
fimoParaDict = {}
fimoParaDict['thresh'] = confDict['fimo']['pvalue']
#fimo output directory name
fimoForeOutDir = args.jid + '_fore_Fimo'
Fimo.callFimo(confDict['input']['fore_testing_file'] , pwmFileName, fimoParaDict, fimoForeOutDir)
fileList.append(fimoForeOutDir)
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif ID and seq hits in the testing file
foreFimoDict = Fimo.parseFimo(fimoForeOutDir+'/fimo.txt', strand)
#write the motifs in the format for sequence coverge algorithms
foreMotifSeqFileName = args.jid + '_fore_motif_hits'
general_utils.writeMotifSeqFile(foreFimoDict, foreMotifSeqFileName)
fileList.append(foreMotifSeqFileName)
#run the FIMO tool for the background file if it exists
if confDict['input']['back_testing_file'] != 'none':
#Background fimo output dir name
fimoBackOutDir = args.jid + '_back_Fimo'
Fimo.callFimo(confDict['input']['back_testing_file'], pwmFileName, fimoParaDict, fimoBackOutDir)
fileList.append(fimoBackOutDir)
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif ID and seq hits in background file
backFimoDict = Fimo.parseFimo(fimoBackOutDir + '/fimo.txt', strand)
#write the motifs in the format for sequence covearge algorithms
backMotifSeqFileName = args.jid + '_back_motif_hits'
general_utils.writeMotifSeqFile(backFimoDict, backMotifSeqFileName)
fileList.append(backMotifSeqFileName)
outFileName = args.jid + '_scan_results.csv'
fileList.append(outFileName)
outFile = open(outFileName, 'wb')
if confDict['input']['back_testing_file'] != 'none':
outFile.write('#Name,foreground_motif_seqCount,foreground_motif_seqCoverage(%),foreground_seqs_added,cumulative_foreground_seq_cov(%)'
+ ',background_motif_seqCount,background_motif_seqCoverage(%),background_seqs_added,cumulative_background_seq_cov(%)' +'\n')
else:
outFile.write('#Name,foreground_motif_seqCount,foreground_motif_seqCoverage(%),foreground_seqs_added,cumulative_foreground_seq_cov(%)'+'\n')
#go thru the fimo directory and write the coverage information
counter = 1
allSeqSet = set()
backAllSeqSet = set()
backCumCov = 0
#for motifId in foreFimoDict:
for motifId in orderMotifList:
lineList = []
print 'm:', motifId
if motifId not in foreFimoDict:
continue
#foreground file
lineList.append(motifId)
seqList = foreFimoDict[motifId]
seqCount = len(seqList)
lineList.append(str(seqCount))
cov = 100*(seqCount/foreNumSeqs)
lineList.append(str(cov))
seqSet = set(seqList)
seqDiff = seqSet - allSeqSet
newSeqsAdded = len(seqDiff)
allSeqSet = allSeqSet | seqSet#diff in sets
cumCov = 100*(len(allSeqSet)/foreNumSeqs)
lineList.append(str(newSeqsAdded))
lineList.append(str(cumCov))
#background information
if confDict['input']['back_testing_file'] != 'none':
if motifId in backFimoDict:
backSeqList = backFimoDict[motifId]
backSeqCount = len(backSeqList)
lineList.append(str(backSeqCount))
backCov = 100*(backSeqCount/backNumSeqs)
lineList.append(str(backCov))
backSeqSet = set(backSeqList)
backSeqDiff = backSeqSet - backAllSeqSet
backNewSeqsAdded = len(backSeqDiff)
backAllSeqSet = backAllSeqSet | backSeqSet
backCumCov = 100*(len(backAllSeqSet)/backNumSeqs)
lineList.append(str(backNewSeqsAdded))
lineList.append(str(backCumCov))
else:
backSeqCount = 0
lineList.append(str(backSeqCount))
backCov = 0
lineList.append(str(backCov))
backNewSeqsAdded = 0
backCumCov += 0
lineList.append(str(backNewSeqsAdded))
lineList.append(str(backCumCov))
line = ','.join(lineList)
outFile.write(line + '\n')
counter += 1
outFile.close()
def callMotifPwmScanOnly(args, confDict, fileList):
"""
"""
#get the PWM file to scan for
pwmFileName = confDict['input']['pwm_file']
#find the total number of seqs in the testing file
foreNumSeqs = general_utils.findNumSeqs(
confDict['input']['fore_testing_file'])
if confDict['input']['back_testing_file'] != 'none':
backNumSeqs = general_utils.findNumSeqs(
confDict['input']['back_testing_file'])
#read the PWM file and get the order of the motifs so to be used when reporting the results
orderMotifList = getPwmOrder(pwmFileName)
#run the FIMO tool for froeground file
fimoParaDict = {}
fimoParaDict['thresh'] = confDict['fimo']['pvalue']
#fimo output directory name
fimoForeOutDir = args.jid + '_fore_Fimo'
Fimo.callFimo(confDict['input']['fore_testing_file'], pwmFileName,
fimoParaDict, fimoForeOutDir)
fileList.append(fimoForeOutDir)
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif ID and seq hits in the testing file
foreFimoDict = Fimo.parseFimo(fimoForeOutDir + '/fimo.txt', strand)
#write the motifs in the format for sequence coverge algorithms
foreMotifSeqFileName = args.jid + '_fore_motif_hits'
general_utils.writeMotifSeqFile(foreFimoDict, foreMotifSeqFileName)
fileList.append(foreMotifSeqFileName)
#run the FIMO tool for the background file if it exists
if confDict['input']['back_testing_file'] != 'none':
#Background fimo output dir name
fimoBackOutDir = args.jid + '_back_Fimo'
Fimo.callFimo(confDict['input']['back_testing_file'], pwmFileName,
fimoParaDict, fimoBackOutDir)
fileList.append(fimoBackOutDir)
#parse the fimo results folder
strand = confDict['fimo']['strand']
#fimoDict between motif ID and seq hits in background file
backFimoDict = Fimo.parseFimo(fimoBackOutDir + '/fimo.txt', strand)
#write the motifs in the format for sequence covearge algorithms
backMotifSeqFileName = args.jid + '_back_motif_hits'
general_utils.writeMotifSeqFile(backFimoDict, backMotifSeqFileName)
fileList.append(backMotifSeqFileName)
outFileName = args.jid + '_scan_results.csv'
fileList.append(outFileName)
outFile = open(outFileName, 'wb')
if confDict['input']['back_testing_file'] != 'none':
outFile.write(
'#Name,foreground_motif_seqCount,foreground_motif_seqCoverage(%),foreground_seqs_added,cumulative_foreground_seq_cov(%)'
+
',background_motif_seqCount,background_motif_seqCoverage(%),background_seqs_added,cumulative_background_seq_cov(%)'
+ '\n')
else:
outFile.write(
'#Name,foreground_motif_seqCount,foreground_motif_seqCoverage(%),foreground_seqs_added,cumulative_foreground_seq_cov(%)'
+ '\n')
#go thru the fimo directory and write the coverage information
counter = 1
allSeqSet = set()
backAllSeqSet = set()
backCumCov = 0
#for motifId in foreFimoDict:
for motifId in orderMotifList:
lineList = []
print 'm:', motifId
if motifId not in foreFimoDict:
continue
#foreground file
lineList.append(motifId)
seqList = foreFimoDict[motifId]
seqCount = len(seqList)
lineList.append(str(seqCount))
cov = 100 * (seqCount / foreNumSeqs)
lineList.append(str(cov))
seqSet = set(seqList)
seqDiff = seqSet - allSeqSet
newSeqsAdded = len(seqDiff)
allSeqSet = allSeqSet | seqSet #diff in sets
cumCov = 100 * (len(allSeqSet) / foreNumSeqs)
lineList.append(str(newSeqsAdded))
lineList.append(str(cumCov))
#background information
if confDict['input']['back_testing_file'] != 'none':
if motifId in backFimoDict:
backSeqList = backFimoDict[motifId]
backSeqCount = len(backSeqList)
lineList.append(str(backSeqCount))
backCov = 100 * (backSeqCount / backNumSeqs)
lineList.append(str(backCov))
backSeqSet = set(backSeqList)
backSeqDiff = backSeqSet - backAllSeqSet
backNewSeqsAdded = len(backSeqDiff)
backAllSeqSet = backAllSeqSet | backSeqSet
backCumCov = 100 * (len(backAllSeqSet) / backNumSeqs)
lineList.append(str(backNewSeqsAdded))
lineList.append(str(backCumCov))
else:
backSeqCount = 0
lineList.append(str(backSeqCount))
backCov = 0
lineList.append(str(backCov))
backNewSeqsAdded = 0
backCumCov += 0
lineList.append(str(backNewSeqsAdded))
lineList.append(str(backCumCov))
line = ','.join(lineList)
outFile.write(line + '\n')
counter += 1
outFile.close()
