def unionTwoTccLists(tccListOne, tccListTwo):
overlapping = compareTwoTccALL(tccListOne, tccListTwo)
print len(tccListOne), len(tccListTwo), len(overlapping)
#Take out overlapping from both tccLists
for tcc in overlapping:
if tcc in tccListOne:
tccListOne.remove(tcc)
if tcc in tccListTwo:
tccListTwo.remove(tcc)
print len(tccListOne), len(tccListTwo), len(overlapping)
clusters = cgClusters.cgClusters()
clusters.makeClusters(overlapping)
newSeqs = []
for cluster in clusters.getClusters():
newSeqs.append(cgClusters.returnTccListRange(cluster))
print len(tccListOne), len(tccListTwo), len(overlapping), len(newSeqs)
newSeqs.extend(tccListOne)
newSeqs.extend(tccListTwo)
print len(tccListOne), len(tccListTwo), len(overlapping), len(newSeqs)
return newSeqs
def unionTwoTccLists(tccListOne, tccListTwo): overlapping = compareTwoTccALL(tccListOne, tccListTwo) print len(tccListOne), len(tccListTwo), len(overlapping) #Take out overlapping from both tccLists for tcc in overlapping: if tcc in tccListOne: tccListOne.remove(tcc) if tcc in tccListTwo: tccListTwo.remove(tcc) print len(tccListOne), len(tccListTwo), len(overlapping) clusters = cgClusters.cgClusters() clusters.makeClusters(overlapping) newSeqs = [] for cluster in clusters.getClusters(): newSeqs.append(cgClusters.returnTccListRange(cluster)) print len(tccListOne), len(tccListTwo), len(overlapping), len(newSeqs) newSeqs.extend(tccListOne) newSeqs.extend(tccListTwo) print len(tccListOne), len(tccListTwo), len(overlapping), len(newSeqs) return newSeqs
def collapseOverlaps(tccList):
'''If the list has overlapping sequences, combine the sequences that overlap.
This makes a cluster and then returns the start and end point of the cluster'''
clusters = cgClusters.cgClusters()
clusters.makeClusters(tccList)
newSeqs = []
for cluster in clusters.getClusters():
newSeqs.append(cgClusters.returnTccListRange(cluster))
return newSeqs
def collapseOverlaps(tccList): '''If the list has overlapping sequences, combine the sequences that overlap. This makes a cluster and then returns the start and end point of the cluster''' clusters = cgClusters.cgClusters() clusters.makeClusters(tccList) newSeqs = [] for cluster in clusters.getClusters(): newSeqs.append(cgClusters.returnTccListRange(cluster)) return newSeqs