def get_reverse_cbg(cbg,frame,verbose=False):
"""
Get the ReversecomplementCodingBlockGraph in requested frame of this CBG
@type cbg: CodingBlockGraph
@param cbg: CodingBlockGraph to reversecomplement
@type frame: integer
@param frame: 0,1 or 2
@type verbose: Boolean
@param verbose: print intermediate info to STDOUT for debugging purposes
@rtype: ReversecomplementCodingBlockGraph or None
@return: ReversecomplementCodingBlockGraph (when existing) or None
"""
min_orf_length = (cbg.omsrlength()/2)*3
orfs = get_reverse_strand_orfsets(cbg,frame,min_orf_length=min_orf_length)
# remap the identifiers of the orf objects i.o.t....
multifastas = {}
blastdbs = {}
pacbpcol = PacbpCollectionGraph()
dpcpacbpcol = PacbpCollectionGraph() # ``deepcopied`` variant for pacbps
for org in orfs.keys():
fname = "%s_reversecbg_%s.mfa" % (org,cbg.barcode())
writeMultiFasta(orfs[org].tofastadict(),fname)
multifastas[org] = fname
########################################################################
if verbose:
print "ORFS:", org, len(orfs[org].orfs),
print [len(o.protein_sequence) for o in orfs[org].orfs ]
########################################################################
revpacbps = {}
for orgQ,orgS in cbg.pairwisecrosscombinations_organism():
# create blastdb if it does not exist yet
if not blastdbs.has_key(orgS):
formatdb(fname=multifastas[orgS])
blastdbs[orgS] = multifastas[orgS]
revpacbporfs = {}
for orfQ in orfs[orgQ].orfs:
# run blast_seqs2db
blastrec = blastall_seq2db(orfQ.id,orfQ.protein_sequence,
dbname="./"+blastdbs[orgS])
if len(blastrec.alignments) == 0: continue
for alignment in blastrec.alignments:
# obtain coordinates from sbjct orf identifier
orfS = orfs[orgS].get_orf_by_id(alignment.title.replace(">",""))
# take only the *best* HSP (highest scoring first one)
hsp = alignment.hsps[0]
# skip if hsp is very short
if len(hsp.query) < cbg.omsrlength()/2: continue
# correct to absolute positions
hsp.query_start = hsp.query_start + orfQ.protein_startPY
hsp.sbjct_start = hsp.sbjct_start + orfS.protein_startPY
# initialize the PacbP
pacbporf = pacb.conversion.pacbp2pacbporf(
pacb.PacbP(blastp_hsp=hsp),orfQ,orfS)
################################################################
if verbose:
print pacbporf, orgQ,orgS, orfQ
print pacbporf.query
print pacbporf.match
print pacbporf.sbjct
###pacbporf.print_protein_and_dna()
################################################################
nodeQ = ( orgQ, orfQ.protein_startPY )
nodeS = ( orgS, orfS.protein_startPY )
uqkey = pacbporf.construct_unique_key(nodeQ,nodeS)
if not nodeQ in pacbpcol.get_nodes(): pacbpcol.add_node(nodeQ)
if not nodeS in pacbpcol.get_nodes(): pacbpcol.add_node(nodeS)
pacbpcol.add_edge(nodeQ,nodeS,wt=pacbporf.bitscore)
# store to dpcpacbpcol -> pacbpcol is broken in pieces lateron!
dpcpacbpcol.pacbps[(uqkey,nodeQ,nodeS)] = pacbporf
# file cleanup
_file_cleanup(multifastas.values())
_file_cleanup(["formatdb.log"])
_file_cleanup([ fname+".*" for fname in blastdbs.values()])
if not pacbpcol.organism_set_size() == cbg.organism_set_size():
# no CBG on the reverse strand
return None
# ``deepcopy`` PacbPcollection
dpcpacbpcol.add_nodes( pacbpcol.get_nodes() )
for (uqkey,nodeQ,nodeS) in dpcpacbpcol.pacbps.keys():
(bitscore,length,orfQid,orfSid) = uqkey
dpcpacbpcol.add_edge(nodeQ,nodeS,wt=bitscore)
############################################################################
if verbose:
print pacbpcol, "bitscores:",
print [ pacbporf.bitscore for pacbporf in dpcpacbpcol.pacbps.values() ]
############################################################################
# do some transformations on the pacbpcol
pacbpcol.remove_low_connectivity_nodes(min_connectivity=cbg.node_count()-1)
splittedCBGs = pacbpcol.find_fully_connected_subgraphs(
edges=cbg.node_count()-1 , max_missing_edges=0 )
# convert to list of CBGs and do some transformations
cbgList = ListOfCodingBlockGraphs(splittedCBGs,input={},crossdata={})
cbgList.remove_all_but_complete_cbgs()
cbgList.harvest_pacbps_from_pacbpcollection(dpcpacbpcol)
cbgList.remove_cbgs_without_omsr()
cbgList.update_edge_weights_by_minimal_spanning_range()
cbgList.order_list_by_attribute(order_by='total_weight',reversed=True)
############################################################################
if verbose:
for revcbg in cbgList:
print "revCBG:", revcbg
############################################################################
if not cbgList:
# no CBG on the reverse strand
return None
else:
# return the highest scoring CBG as a ReversecomlementCodingBlockGraph
return CodingBlockGraph2ReversecomlementCodingBlockGraph(
cbgList.codingblockgraphs[0])
def _blastorfset2blastdb(geneQ,
geneS,
blastdbfname,
input,
crossdata,
GSgraph,
blastoptions=None,
elegiable_orfsQ=[],
elegiable_orfsS_ids=[],
logging=False):
"""
"""
hitcnt = 0
for orfQ in elegiable_orfsQ:
# check if protein sequence present in Orf object
# in obscure cases of unigenes, no protein sequence present!
if not orfQ.protein_sequence: continue
# make unique node identifier and blast header
nodeQ = (geneQ, orfQ.id)
header = "%s_orf_%s" % (geneQ, orfQ.id)
# do the blastp!
blastrec = blastall_seq2db(
header,
orfQ.protein_sequence,
dbname=blastdbfname,
extra_blastp_params=blastoptions.extra_blastp_params)
# check if blast failed (then, blastrec == False)
if not blastrec: continue
# check if there are any hits/hsps!
if len(blastrec.alignments) == 0:
# no hits; continue
continue
for alignment in blastrec.alignments:
# get back orfpointerB from the SBJCT and create nodeS
_parts = alignment.title.split("_")
geneS = "_".join(_parts[0:-2]).replace('>', '')
_orfpointerS = int(_parts[-1])
nodeS = (geneS, _orfpointerS)
# ignore hit if nodeS orfid not occurring in the NON-empty list elegiable_orfsS_ids
if elegiable_orfsS_ids and _orfpointerS not in elegiable_orfsS_ids:
continue
# get the Orf object of this sbjct sequence
orfS = input[geneS]['orfs'].get_orf_by_id(_orfpointerS)
# loop over the HSPs
for hsp in alignment.hsps:
# If hits are really tiny (happens in case of BLOSUM45 matrix),
# discard them directly before precious time is lost...
if len(hsp.query
) <= blastoptions.BLASTP_DIRECTLY_IGNORE_TINY_HITS:
continue
# correct to absolute positions
hsp.query_start = hsp.query_start + orfQ.protein_startPY
hsp.sbjct_start = hsp.sbjct_start + orfS.protein_startPY
hsp.query_end = hsp.query_end + orfQ.protein_startPY
hsp.sbjct_end = hsp.sbjct_end + orfS.protein_startPY
# VERY exceptional case: HSP starts or ends with a gap
# I expect this is an error in Blastp ....
strip_exterior_gaps(hsp)
if hsp.query.find(" ") > 0:
# VERY exceptional case: erroneously NCBI parsed HSP:
# Score 8 (7 bits), expectation 1.7e+01, alignment length 41
# Query: 1622 STHTYDAC TRCI----PFVDTGHKHENPTEALLDSTA 1654
# TR P + H + P+++ S++
# Sbjct: 489 TEHIYLHT TRSTWPPKPPTNASHANTKPSKSHHRSSS 525
if len(hsp.query.split(" ")[-1]) == len(hsp.match):
hsp.query = hsp.query.split(" ")[-1]
hsp.sbjct = hsp.sbjct.split(" ")[-1]
elif len(hsp.query.split(" ")[0]) == len(hsp.match):
hsp.query = hsp.query.split(" ")[0]
hsp.sbjct = hsp.sbjct.split(" ")[0]
elif len(hsp.query) == len(hsp.match):
# spaces in both query/match/sbjct
while hsp.query.find(" ") > 0:
pos = hsp.query.find(" ")
if hsp.sbjct[pos] == " " and hsp.match[pos] == " ":
hsp.query = hsp.query[0:pos] + hsp.query[pos +
1:]
hsp.match = hsp.match[0:pos] + hsp.match[pos +
1:]
hsp.sbjct = hsp.sbjct[0:pos] + hsp.sbjct[pos +
1:]
else:
# HPS is not repairable -> quit trying
break
elif len(hsp.query) == len(hsp.sbjct):
while hsp.query.find(" ") > 0:
pos = hsp.query.find(" ")
hsp.query = hsp.query[0:pos] + hsp.query[pos + 1:]
hsp.sbjct = hsp.sbjct[0:pos] + hsp.sbjct[pos + 1:]
# recreate alignment match string is done upon
# creation of PacbP object
else:
pass
# VERY exceptional case: HSP starts or ends with a gap
# I expect this is an error in Blastp ....
strip_exterior_gaps(hsp)
try:
pacbp = pacb.PacbP(blastp_hsp=hsp,
MATRIX=blastoptions.MATRIX)
except:
# VERY exceptional miscelaneous cases: erroneously NCBI parsed HSP:
print hsp
print "'%s' X" % hsp.query, len(
hsp.query), hsp.query_start, hsp.query_end
print "'%s' X" % hsp.match, len(hsp.match)
print "'%s' X" % hsp.sbjct, len(
hsp.sbjct), hsp.sbjct_start, hsp.sbjct_end
pacbp = pacb.PacbP(blastp_hsp=hsp,
MATRIX=blastoptions.MATRIX)
# make pacbp of this hsp
pacbp = pacb.PacbP(blastp_hsp=hsp, MATRIX=blastoptions.MATRIX)
# if logging is requested for, print this pacbp to STDOUT
if logging:
print ">>> Q", nodeQ, orfQ.tcode_symbolic(
), "S", nodeS, orfS.tcode_symbolic(
), pacbp, blastoptions.MATRIX.name, hsp.expect, hsp.bits
print ">>>", blastoptions.extra_blastp_params
if pacbp.length > 100:
print pacbp.query[0:40] + '.' * 7 + str(
pacbp.length - 80) + '.' * 7 + pacbp.query[-40:]
print pacbp.match[0:40] + '.' * 7 + str(
pacbp.length - 80) + '.' * 7 + pacbp.match[-40:]
print pacbp.sbjct[0:40] + '.' * 7 + str(
pacbp.length - 80) + '.' * 7 + pacbp.sbjct[-40:]
else:
print pacbp.query
print pacbp.match
print pacbp.sbjct
# blastoptions.BLASTP_HSP_MINIMAL_LENGTH represents the minimal
# length of the aligned part. (To) short pacbp's are abandoned
if pacbp.length < blastoptions.BLASTP_HSP_MINIMAL_LENGTH:
if pacbp.identityscore == float(pacbp.length):
# escape for 100% identical tiny pacbps
pass
elif pacbp.identity + pacbp.similarity == pacbp.length:
# escape for 100% similar tiny pacbps
pass
else:
# pacbp is to small. Discard!
if logging: print "to small..."
continue
# check if the pacbp is not conflicting with the currect GSG graph
# if so, ignore now because it will not yield a proper edge in an (accepted) CBG!
if GSgraph and len(
GSgraph
) and GSgraph.is_pacbp_conflicting_with_genestructure(
pacbp, orgQ=geneQ, orgS=geneS):
###print "GSGconflict!", nodeQ,nodeS, GSgraph.is_pacbp_conflicting_with_genestructure(pacbp,orgQ=geneQ,orgS=geneS), len(pacbp)
continue
# here we have a potentially accepted pacbp.
# make a/the unique key of this pacbp
key = (pacbp.bits, pacbp.length, orfQ.id, _orfpointerS)
# check for evalue criterion
if (blastoptions.BLASTP_HSP_MAXIMAL_EXPECT
or blastoptions.BLASTP_HSP_MAXIMAL_EXPECT == 0.0
) and hsp.expect > blastoptions.BLASTP_HSP_MAXIMAL_EXPECT:
# pacbp is long enough but has a to high evalue
crossdata[(geneQ, geneS)]['lowscoring_pacbs'][key] = pacbp
if logging: print "to low bitscore or expect"
continue
# check for bitscore criterion
if (blastoptions.BLASTP_HSP_MINIMAL_BITS
or blastoptions.BLASTP_HSP_MINIMAL_BITS == 0
) and pacbp.bits < blastoptions.BLASTP_HSP_MINIMAL_BITS:
# pacbp is long enough but has a to low bitscore
crossdata[(geneQ, geneS)]['lowscoring_pacbs'][key] = pacbp
if logging: print "to low bitscore or expect"
continue
# !!Hurray!! an accepted pacbp. Store to crossdata
# store it to the 'accepted_pacbs' dict of crossdata
crossdata[(geneQ, geneS)]['accepted_pacbs'][key] = pacbp
hitcnt += 1
if logging: print "ACCEPTED"
# done -> check next orf!
# return the filled crossdata structure
return crossdata, hitcnt
def get_frameshifted_cbg(cbg, input, verbose=True):
"""
Get a CBG with frameshifts (in some of if Orfs) compared to this CBG
@type cbg: CodingBlockGraph
@param cbg: CodingBlockGraph to check for frameshifts
@type input: dict
@param input: input <dict data structure> with lists of Orfs
@type verbose: Boolean
@param verbose: print intermediate info to STDOUT for debugging purposes
@rtype: CodingBlockGraph or None
@return: CodingBlockGraph (when existing) or None
"""
# get elegiable lists of Orfs
orfs = _get_elegiable_frameshift_orfsets(cbg, input)
# check how many Orfs are elgiable...
if sum([len(l.orfs) for l in orfs.values()]) == cbg.node_count():
# no frameshift possible here...
return None
# remap the identifiers of the orf objects i.o.t....
multifastas = {}
blastdbs = {}
pacbpcol = PacbpCollectionGraph()
dpcpacbpcol = PacbpCollectionGraph() # ``deepcopied`` variant for pacbps
for org in orfs.keys():
# REMAP fastaheaders as ids to retrieve the Orfs after blast..
for orf in orfs[org].orfs:
orf.fastaheader = str(orf.id)
fname = "%s_frameshiftcbg_%s.mfa" % (org, cbg.barcode())
writeMultiFasta(orfs[org].tofastadict(), fname)
multifastas[org] = fname
########################################################################
if verbose:
print "ORFS:", org, len(orfs[org].orfs),
print[orf.id for orf in orfs[org].orfs],
print[str(orf) for orf in orfs[org].orfs]
########################################################################
for orgQ, orgS in cbg.pairwisecrosscombinations_organism():
# create blastdb if it does not exist yet
if not blastdbs.has_key(orgS):
formatdb(fname=multifastas[orgS])
blastdbs[orgS] = multifastas[orgS]
for orfQ in orfs[orgQ].orfs:
# run blast_seqs2db
blastrec = blastall_seq2db(orfQ.id,
orfQ.protein_sequence,
dbname="./" + blastdbs[orgS])
if len(blastrec.alignments) == 0: continue
for alignment in blastrec.alignments:
# obtain coordinates from sbjct orf identifier
orfid = alignment.title.replace(">", "").split(" ")[0].replace(
"_", "")
orfS = orfs[orgS].get_orf_by_id(int(orfid))
nodeQ = (orgQ, orfQ.id)
nodeS = (orgS, orfS.id)
if nodeQ in cbg.get_nodes() and nodeS in cbg.get_nodes():
pacbporf = cbg.get_pacbps_by_nodes(node1=nodeQ,
node2=nodeS)[0]
else:
# take only the *best* HSP (highest scoring first one)
hsp = alignment.hsps[0]
# correct to absolute positions
hsp.query_start = hsp.query_start + orfQ.protein_startPY
hsp.sbjct_start = hsp.sbjct_start + orfS.protein_startPY
# initialize the PacbP
pacbporf = pacb.conversion.pacbp2pacbporf(
pacb.PacbP(blastp_hsp=hsp), orfQ, orfS)
############################################################
if verbose: print "NEW:", pacbporf
############################################################
uqkey = pacbporf.construct_unique_key(nodeQ, nodeS)
if not nodeQ in pacbpcol.get_nodes(): pacbpcol.add_node(nodeQ)
if not nodeS in pacbpcol.get_nodes(): pacbpcol.add_node(nodeS)
pacbpcol.add_edge(nodeQ, nodeS, wt=pacbporf.bitscore)
# store to dpcpacbpcol -> pacbpcol is broken in pieces lateron!
dpcpacbpcol.pacbps[(uqkey, nodeQ, nodeS)] = pacbporf
# file cleanup
_file_cleanup(multifastas.values())
_file_cleanup(["formatdb.log"])
_file_cleanup([fname + ".*" for fname in blastdbs.values()])
if not pacbpcol.organism_set_size() == cbg.organism_set_size():
############################################################
if verbose: print "org_set_size() PCG < CBG"
############################################################
# no CBG on the reverse strand
return None
# ``deepcopy`` PacbPcollection
dpcpacbpcol.add_nodes(pacbpcol.get_nodes())
for (uqkey, nodeQ, nodeS) in dpcpacbpcol.pacbps.keys():
(bitscore, length, orfQid, orfSid) = uqkey
dpcpacbpcol.add_edge(nodeQ, nodeS, wt=bitscore)
############################################################################
if verbose:
print pacbpcol, "bitscores:",
print[pacbporf.bitscore for pacbporf in dpcpacbpcol.pacbps.values()]
############################################################################
# do some transformations on the pacbpcol
pacbpcol.remove_low_connectivity_nodes(min_connectivity=cbg.node_count() -
1)
splittedCBGs = pacbpcol.find_fully_connected_subgraphs(
edges=cbg.node_count() - 1, max_missing_edges=0)
# convert to list of CBGs and do some transformations
cbgList = ListOfCodingBlockGraphs(splittedCBGs, input={}, crossdata={})
cbgList.remove_all_but_cbgs()
cbgList.remove_cbgs_with_lt_nodes(cbg.node_count())
cbgList.harvest_pacbps_from_pacbpcollection(dpcpacbpcol)
cbgList.remove_cbgs_without_omsr()
cbgList.update_edge_weights_by_minimal_spanning_range()
cbgList.order_graphlist_by_total_weight_and_identity()
############################################################################
if verbose:
print "FScbgs (%s)" % len(cbgList)
for fscbg in cbgList:
print fscbg
############################################################################
if not cbgList:
# no (better) frameshifted CBG
return None
elif cbgList and not cbgList[0].node_set().symmetric_difference(
cbg.node_set()):
# best CBG is not frameshifted, but CBG itself
return None
else:
# score the difference between the frameshifted and current CBG
score_cbg = cbg.total_weight() * cbg.omsr_identityscore()
score_fscbg = cbgList[0].total_weight(
) * cbgList[0].omsr_identityscore()
# check overlap between the frameshifted and current CBG
a, b, c, d, e, f, g = relatively_positioned_towards(cbgList[0], cbg)
########################################################################
if verbose:
print "CBG", cbg
cbg.printmultiplealignment()
for fscbg in cbgList:
print "fsCBG:", fscbg
fscbg.printmultiplealignment()
########################################################################
if (c, d) == ((0, 0, 1), (1, 0, 0)) or (c, d) == ((0, 0, 1),
(1, 0, 0)):
# CBG and frameshifted CBG do not share a single AA overlap...
# This does not represent a frameshifted CBG as we searched for
return False
elif score_fscbg > score_cbg:
# return the highest scoring, frameshifted CBG
return cbgList[0]
else:
# no, still not convinced that this is a frameshifted CBG
return False
def _blastorfset2blastdb(geneQ,geneS,blastdbfname,input,crossdata,GSgraph,
blastoptions = None,
elegiable_orfsQ=[],
elegiable_orfsS_ids=[],
logging=False):
"""
"""
hitcnt = 0
for orfQ in elegiable_orfsQ:
# check if protein sequence present in Orf object
# in obscure cases of unigenes, no protein sequence present!
if not orfQ.protein_sequence: continue
# make unique node identifier and blast header
nodeQ = (geneQ,orfQ.id)
header = "%s_orf_%s" % (geneQ,orfQ.id)
# do the blastp!
blastrec = blastall_seq2db(header, orfQ.protein_sequence,
dbname=blastdbfname,
extra_blastp_params=blastoptions.extra_blastp_params )
# check if blast failed (then, blastrec == False)
if not blastrec: continue
# check if there are any hits/hsps!
if len(blastrec.alignments) == 0:
# no hits; continue
continue
for alignment in blastrec.alignments:
# get back orfpointerB from the SBJCT and create nodeS
_parts = alignment.title.split("_")
geneS = "_".join(_parts[0:-2]).replace('>','')
_orfpointerS = int(_parts[-1])
nodeS = (geneS,_orfpointerS)
# ignore hit if nodeS orfid not occurring in the NON-empty list elegiable_orfsS_ids
if elegiable_orfsS_ids and _orfpointerS not in elegiable_orfsS_ids:
continue
# get the Orf object of this sbjct sequence
orfS = input[geneS]['orfs'].get_orf_by_id(_orfpointerS)
# loop over the HSPs
for hsp in alignment.hsps:
# If hits are really tiny (happens in case of BLOSUM45 matrix),
# discard them directly before precious time is lost...
if len(hsp.query) <= blastoptions.BLASTP_DIRECTLY_IGNORE_TINY_HITS:
continue
# correct to absolute positions
hsp.query_start = hsp.query_start + orfQ.protein_startPY
hsp.sbjct_start = hsp.sbjct_start + orfS.protein_startPY
hsp.query_end = hsp.query_end + orfQ.protein_startPY
hsp.sbjct_end = hsp.sbjct_end + orfS.protein_startPY
# VERY exceptional case: HSP starts or ends with a gap
# I expect this is an error in Blastp ....
strip_exterior_gaps(hsp)
if hsp.query.find(" ") > 0:
# VERY exceptional case: erroneously NCBI parsed HSP:
# Score 8 (7 bits), expectation 1.7e+01, alignment length 41
# Query: 1622 STHTYDAC TRCI----PFVDTGHKHENPTEALLDSTA 1654
# TR P + H + P+++ S++
# Sbjct: 489 TEHIYLHT TRSTWPPKPPTNASHANTKPSKSHHRSSS 525
if len(hsp.query.split(" ")[-1]) == len(hsp.match):
hsp.query = hsp.query.split(" ")[-1]
hsp.sbjct = hsp.sbjct.split(" ")[-1]
elif len(hsp.query.split(" ")[0]) == len(hsp.match):
hsp.query = hsp.query.split(" ")[0]
hsp.sbjct = hsp.sbjct.split(" ")[0]
elif len(hsp.query) == len(hsp.match):
# spaces in both query/match/sbjct
while hsp.query.find(" ") > 0:
pos = hsp.query.find(" ")
if hsp.sbjct[pos] == " " and hsp.match[pos] == " ":
hsp.query = hsp.query[0:pos] + hsp.query[pos+1:]
hsp.match = hsp.match[0:pos] + hsp.match[pos+1:]
hsp.sbjct = hsp.sbjct[0:pos] + hsp.sbjct[pos+1:]
else:
# HPS is not repairable -> quit trying
break
elif len(hsp.query) == len(hsp.sbjct):
while hsp.query.find(" ") > 0:
pos = hsp.query.find(" ")
hsp.query = hsp.query[0:pos] + hsp.query[pos+1:]
hsp.sbjct = hsp.sbjct[0:pos] + hsp.sbjct[pos+1:]
# recreate alignment match string is done upon
# creation of PacbP object
else:
pass
# VERY exceptional case: HSP starts or ends with a gap
# I expect this is an error in Blastp ....
strip_exterior_gaps(hsp)
try:
pacbp = pacb.PacbP(blastp_hsp=hsp,MATRIX=blastoptions.MATRIX)
except:
# VERY exceptional miscelaneous cases: erroneously NCBI parsed HSP:
print hsp
print "'%s' X" % hsp.query, len(hsp.query), hsp.query_start, hsp.query_end
print "'%s' X" % hsp.match, len(hsp.match)
print "'%s' X" % hsp.sbjct, len(hsp.sbjct), hsp.sbjct_start, hsp.sbjct_end
pacbp = pacb.PacbP(blastp_hsp=hsp,MATRIX=blastoptions.MATRIX)
# make pacbp of this hsp
pacbp = pacb.PacbP(blastp_hsp=hsp,MATRIX=blastoptions.MATRIX)
# if logging is requested for, print this pacbp to STDOUT
if logging:
print ">>> Q", nodeQ, orfQ.tcode_symbolic(), "S", nodeS, orfS.tcode_symbolic(), pacbp, blastoptions.MATRIX.name, hsp.expect, hsp.bits
print ">>>", blastoptions.extra_blastp_params
if pacbp.length > 100:
print pacbp.query[0:40]+'.'*7+str(pacbp.length-80)+'.'*7+pacbp.query[-40:]
print pacbp.match[0:40]+'.'*7+str(pacbp.length-80)+'.'*7+pacbp.match[-40:]
print pacbp.sbjct[0:40]+'.'*7+str(pacbp.length-80)+'.'*7+pacbp.sbjct[-40:]
else:
print pacbp.query
print pacbp.match
print pacbp.sbjct
# blastoptions.BLASTP_HSP_MINIMAL_LENGTH represents the minimal
# length of the aligned part. (To) short pacbp's are abandoned
if pacbp.length < blastoptions.BLASTP_HSP_MINIMAL_LENGTH:
if pacbp.identityscore == float(pacbp.length):
# escape for 100% identical tiny pacbps
pass
elif pacbp.identity + pacbp.similarity == pacbp.length:
# escape for 100% similar tiny pacbps
pass
else:
# pacbp is to small. Discard!
if logging: print "to small..."
continue
# check if the pacbp is not conflicting with the currect GSG graph
# if so, ignore now because it will not yield a proper edge in an (accepted) CBG!
if GSgraph and len(GSgraph) and GSgraph.is_pacbp_conflicting_with_genestructure(pacbp,orgQ=geneQ,orgS=geneS):
###print "GSGconflict!", nodeQ,nodeS, GSgraph.is_pacbp_conflicting_with_genestructure(pacbp,orgQ=geneQ,orgS=geneS), len(pacbp)
continue
# here we have a potentially accepted pacbp.
# make a/the unique key of this pacbp
key = (pacbp.bits, pacbp.length, orfQ.id,_orfpointerS)
# check for evalue criterion
if (blastoptions.BLASTP_HSP_MAXIMAL_EXPECT or blastoptions.BLASTP_HSP_MAXIMAL_EXPECT==0.0) and hsp.expect > blastoptions.BLASTP_HSP_MAXIMAL_EXPECT:
# pacbp is long enough but has a to high evalue
crossdata[(geneQ,geneS)]['lowscoring_pacbs'][key] = pacbp
if logging: print "to low bitscore or expect"
continue
# check for bitscore criterion
if (blastoptions.BLASTP_HSP_MINIMAL_BITS or blastoptions.BLASTP_HSP_MINIMAL_BITS==0) and pacbp.bits < blastoptions.BLASTP_HSP_MINIMAL_BITS:
# pacbp is long enough but has a to low bitscore
crossdata[(geneQ,geneS)]['lowscoring_pacbs'][key] = pacbp
if logging: print "to low bitscore or expect"
continue
# !!Hurray!! an accepted pacbp. Store to crossdata
# store it to the 'accepted_pacbs' dict of crossdata
crossdata[(geneQ,geneS)]['accepted_pacbs'][key] = pacbp
hitcnt+=1
if logging: print "ACCEPTED"
# done -> check next orf!
# return the filled crossdata structure
return crossdata, hitcnt
def blastanalysescbgjunction(
gsg,
prevCBG,
nextCBG,
omit_cbg_orfs=False,
omit_non_cbg_orfs=False,
extra_blastp_params=CBG_JUNCTION_BLAST2PACBPCOL_EXTRA_BLASTP_PARAMS,
omsr_2_mask_aa_length_correction=CBG_JUNCTION_BLAST2PACBPCOL_OMSR_2_AA_MASK,
verbose=False):
"""
"""
############################################################
if verbose:
stw = StopWatch('blastanalysescbgjunction')
stw.start()
############################################################
orfs = {}
if not omit_cbg_orfs:
# gather Orfs from prevCBG and nextCBG
for org, orflist, in prevCBG.get_orfs_of_graph().iteritems():
orf = orflist[0]
orfs[(org, orf.id)] = orf
for org, orflist, in nextCBG.get_orfs_of_graph().iteritems():
orf = orflist[0]
orfs[(org, orf.id)] = orf
############################################################
if verbose:
print stw.lap(), "orfs (1):", len(orfs)
print _format_orf_nodes_to_string(orfs.keys())
############################################################
# create masked fasta database in a dict
fastadbmfa = parseFasta(
create_hmmdb_for_neighbouring_cbgs(
gsg.input,
prevCBG,
nextCBG,
omsr_2_mask_aa_length_correction=omsr_2_mask_aa_length_correction,
).split("\n"))
############################################################
if verbose: print stw.lap(), "fasta db (1):", len(fastadbmfa)
############################################################
# remove ORFs that do not belong to prevCBG and nextCBG,
# or that DO belong to prevCBG and nextCBG, or neither
fastaheaders = fastadbmfa.keys()
for header in fastaheaders:
org, orfid = header.split("_orf_")
orfid = int(orfid)
node = (org, orfid)
# check for the omit_non_cbg_orfs criterion
add_orf = False
if omit_non_cbg_orfs:
if node not in orfs:
del (fastadbmfa[header])
else:
add_orf = True
# check for the omit_cbg_orfs criterion
if omit_cbg_orfs and node in orfs:
del (fastadbmfa[header])
if add_orf:
# get this Orf and add to orfs
orfs[node] = gsg.input[org]['orfs'].get_orf_by_id(orfid)
############################################################
if verbose:
print stw.lap(), "fasta db (2):", len(fastadbmfa)
print _format_fastadbmfa_nodes_to_string(fastadbmfa.keys())
############################################################
############################################################
if verbose:
print stw.lap(), "orfs (2):", len(orfs)
print _format_orf_nodes_to_string(orfs.keys())
############################################################
# no query/sbjct range left at all
if not fastadbmfa: return []
# check if all organisms are still covered
orgSet = Set([k.split("_orf_")[0] for k in fastadbmfa.keys()])
if orgSet.symmetric_difference(gsg.organism_set()):
return []
# create !single! fasta database
fastadbname = prevCBG.barcode() + "_" + nextCBG.barcode() + ".mfa"
writeMultiFasta(fastadbmfa, fastadbname)
formatdb(fname=fastadbname)
# remap the identifiers of the orf objects i.o.t....
multifastas = {}
blastdbs = {}
pacbpcol = PacbpCollectionGraph()
dpcpacbpcol = PacbpCollectionGraph() # ``deepcopied`` variant for pacbps
############################################################
if verbose: print stw.lap(), "blastp starting"
############################################################
for orgQ, orgS in prevCBG.pairwisecrosscombinations_organism():
for nodeQ, orfQ in orfs.iteritems():
# only blast the (masked) Orfs of orgQ
if prevCBG.organism_by_node(nodeQ) != orgQ: continue
# get the masked protein sequence of this orfObj
header = orgQ + "_orf_" + str(orfQ.id)
# check if key exists in fastadbmfa. In a case where
# an Orf is masked out completely, it is absent here!
if not fastadbmfa.has_key(header): continue
protseq = fastadbmfa[orgQ + "_orf_" + str(orfQ.id)]
# run blast_seqs2db
blastrec = blastall_seq2db(orfQ.id,
protseq,
fastadbname,
extra_blastp_params=extra_blastp_params)
# omit empty blast records
if len(blastrec.alignments) == 0: continue
for alignment in blastrec.alignments:
# get sbjct Org and Orf identifiers
_orgS, _orfSid = alignment.title.replace(">",
"").split("_orf_")
if _orgS != orgS: continue
nodeS = (_orgS, int(_orfSid))
orfS = orfs[nodeS]
# take only the *best* HSP (highest scoring first one)
hsp = alignment.hsps[0]
# correct to absolute positions
hsp.query_start = hsp.query_start + orfQ.protein_startPY
hsp.sbjct_start = hsp.sbjct_start + orfS.protein_startPY
# initialize the PacbP
pacbporf = pacb.conversion.pacbp2pacbporf(
pacb.PacbP(blastp_hsp=hsp), orfQ, orfS)
################################################################
if verbose:
print pacbporf, orgQ, orgS, orfQ
print pacbporf.query
print pacbporf.match
print pacbporf.sbjct
################################################################
# create nodes; ( Organism Identifier, Orf Identifier )
nodeQ = (orgQ, orfQ.id)
nodeS = (orgS, orfS.id)
uqkey = pacbporf.construct_unique_key(nodeQ, nodeS)
if not nodeQ in pacbpcol.get_nodes(): pacbpcol.add_node(nodeQ)
if not nodeS in pacbpcol.get_nodes(): pacbpcol.add_node(nodeS)
pacbpcol.add_edge(nodeQ, nodeS, wt=pacbporf.bitscore)
# store to dpcpacbpcol -> pacbpcol is broken in pieces lateron!
dpcpacbpcol.pacbps[(uqkey, nodeQ, nodeS)] = pacbporf
############################################################
if verbose: print stw.lap(), "blastp done"
############################################################
# file cleanup
_file_cleanup(multifastas.values())
_file_cleanup(["formatdb.log"])
_file_cleanup([fname + ".*" for fname in blastdbs.values()])
# check if all Organism/Gene identifiers are covered in PacbPs
if not pacbpcol.organism_set_size() == gsg.organism_set_size():
return []
# ``deepcopy`` PacbPcollection pacbpcol to dpcpacbpcol
# In dpcpacbpcol the actual PacbPORFs are stores & kept,
# whereas pacbpcol itself is splitted in CBGs (which
# function does not yet (!?) take the actual pacbps into account)
dpcpacbpcol.add_nodes(pacbpcol.get_nodes())
for (uqkey, nodeQ, nodeS) in dpcpacbpcol.pacbps.keys():
(bitscore, length, orfQid, orfSid) = uqkey
dpcpacbpcol.add_edge(nodeQ, nodeS, wt=bitscore)
################################################################
if verbose:
print pacbpcol
print "PCG bitscores:",
print[p.bitscore for p in dpcpacbpcol.pacbps.values()]
print "PCG nodes:", dpcpacbpcol.get_ordered_nodes()
################################################################
#### do some transformations on the pacbpcol
####pacbpcol.remove_low_connectivity_nodes(min_connectivity=gsg.EXACT_SG_NODE_COUNT-1)
####splittedCBGs = pacbpcol.find_fully_connected_subgraphs(
#### edges=gsg.node_count()-1 , max_missing_edges=0 )
##### convert to list of CBGs and do some transformations
####cbgList = ListOfCodingBlockGraphs(splittedCBGs,input={},crossdata={})
####cbgList.remove_all_but_complete_cbgs()
####cbgList.remove_cbgs_with_lt_nodes(gsg.EXACT_SG_NODE_COUNT)
####cbgList.harvest_pacbps_from_pacbpcollection(dpcpacbpcol)
####cbgList.remove_cbgs_without_omsr()
####cbgList.update_edge_weights_by_minimal_spanning_range()
####cbgList.order_list_by_attribute(order_by='total_weight',reversed=True)
min_connectivity = max([1, gsg.EXACT_SG_NODE_COUNT - 1 - 2])
pacbpcol.remove_low_connectivity_nodes(min_connectivity=min_connectivity)
max_missing_edges = gsg.EXACT_SG_NODE_COUNT - 3
splittedCBGs = pacbpcol.find_fully_connected_subgraphs(
edges=gsg.node_count() - 1, max_missing_edges=max_missing_edges)
# convert to list of CBGs and do some transformations
cbgList = ListOfCodingBlockGraphs(splittedCBGs, input={}, crossdata={})
cbgList.remove_all_but_cbgs()
cbgList.harvest_pacbps_from_pacbpcollection(dpcpacbpcol)
cbgList.make_pacbps_for_missing_edges()
cbgList.remove_all_but_complete_cbgs()
cbgList.remove_cbgs_with_lt_nodes(gsg.EXACT_SG_NODE_COUNT)
cbgList.remove_cbgs_without_omsr()
cbgList.update_edge_weights_by_minimal_spanning_range()
cbgList.order_list_by_attribute(order_by='total_weight', reversed=True)
# and create_cache() for these CBGs
for cbg in cbgList:
cbg.create_cache()
####################################################################
if verbose:
print stw.lap(), "CBGs created", len(cbgList)
for newcbg in cbgList:
print "new:", newcbg
####################################################################
# return list with CBGs
return cbgList.codingblockgraphs
def get_reverse_cbg(cbg, frame, verbose=False):
"""
Get the ReversecomplementCodingBlockGraph in requested frame of this CBG
@type cbg: CodingBlockGraph
@param cbg: CodingBlockGraph to reversecomplement
@type frame: integer
@param frame: 0,1 or 2
@type verbose: Boolean
@param verbose: print intermediate info to STDOUT for debugging purposes
@rtype: ReversecomplementCodingBlockGraph or None
@return: ReversecomplementCodingBlockGraph (when existing) or None
"""
min_orf_length = (cbg.omsrlength() / 2) * 3
orfs = get_reverse_strand_orfsets(cbg,
frame,
min_orf_length=min_orf_length)
# remap the identifiers of the orf objects i.o.t....
multifastas = {}
blastdbs = {}
pacbpcol = PacbpCollectionGraph()
dpcpacbpcol = PacbpCollectionGraph() # ``deepcopied`` variant for pacbps
for org in orfs.keys():
fname = "%s_reversecbg_%s.mfa" % (org, cbg.barcode())
writeMultiFasta(orfs[org].tofastadict(), fname)
multifastas[org] = fname
########################################################################
if verbose:
print "ORFS:", org, len(orfs[org].orfs),
print[len(o.protein_sequence) for o in orfs[org].orfs]
########################################################################
revpacbps = {}
for orgQ, orgS in cbg.pairwisecrosscombinations_organism():
# create blastdb if it does not exist yet
if not blastdbs.has_key(orgS):
formatdb(fname=multifastas[orgS])
blastdbs[orgS] = multifastas[orgS]
revpacbporfs = {}
for orfQ in orfs[orgQ].orfs:
# run blast_seqs2db
blastrec = blastall_seq2db(orfQ.id,
orfQ.protein_sequence,
dbname="./" + blastdbs[orgS])
if len(blastrec.alignments) == 0: continue
for alignment in blastrec.alignments:
# obtain coordinates from sbjct orf identifier
orfS = orfs[orgS].get_orf_by_id(
alignment.title.replace(">", ""))
# take only the *best* HSP (highest scoring first one)
hsp = alignment.hsps[0]
# skip if hsp is very short
if len(hsp.query) < cbg.omsrlength() / 2: continue
# correct to absolute positions
hsp.query_start = hsp.query_start + orfQ.protein_startPY
hsp.sbjct_start = hsp.sbjct_start + orfS.protein_startPY
# initialize the PacbP
pacbporf = pacb.conversion.pacbp2pacbporf(
pacb.PacbP(blastp_hsp=hsp), orfQ, orfS)
################################################################
if verbose:
print pacbporf, orgQ, orgS, orfQ
print pacbporf.query
print pacbporf.match
print pacbporf.sbjct
###pacbporf.print_protein_and_dna()
################################################################
nodeQ = (orgQ, orfQ.protein_startPY)
nodeS = (orgS, orfS.protein_startPY)
uqkey = pacbporf.construct_unique_key(nodeQ, nodeS)
if not nodeQ in pacbpcol.get_nodes(): pacbpcol.add_node(nodeQ)
if not nodeS in pacbpcol.get_nodes(): pacbpcol.add_node(nodeS)
pacbpcol.add_edge(nodeQ, nodeS, wt=pacbporf.bitscore)
# store to dpcpacbpcol -> pacbpcol is broken in pieces lateron!
dpcpacbpcol.pacbps[(uqkey, nodeQ, nodeS)] = pacbporf
# file cleanup
_file_cleanup(multifastas.values())
_file_cleanup(["formatdb.log"])
_file_cleanup([fname + ".*" for fname in blastdbs.values()])
if not pacbpcol.organism_set_size() == cbg.organism_set_size():
# no CBG on the reverse strand
return None
# ``deepcopy`` PacbPcollection
dpcpacbpcol.add_nodes(pacbpcol.get_nodes())
for (uqkey, nodeQ, nodeS) in dpcpacbpcol.pacbps.keys():
(bitscore, length, orfQid, orfSid) = uqkey
dpcpacbpcol.add_edge(nodeQ, nodeS, wt=bitscore)
############################################################################
if verbose:
print pacbpcol, "bitscores:",
print[pacbporf.bitscore for pacbporf in dpcpacbpcol.pacbps.values()]
############################################################################
# do some transformations on the pacbpcol
pacbpcol.remove_low_connectivity_nodes(min_connectivity=cbg.node_count() -
1)
splittedCBGs = pacbpcol.find_fully_connected_subgraphs(
edges=cbg.node_count() - 1, max_missing_edges=0)
# convert to list of CBGs and do some transformations
cbgList = ListOfCodingBlockGraphs(splittedCBGs, input={}, crossdata={})
cbgList.remove_all_but_complete_cbgs()
cbgList.harvest_pacbps_from_pacbpcollection(dpcpacbpcol)
cbgList.remove_cbgs_without_omsr()
cbgList.update_edge_weights_by_minimal_spanning_range()
cbgList.order_list_by_attribute(order_by='total_weight', reversed=True)
############################################################################
if verbose:
for revcbg in cbgList:
print "revCBG:", revcbg
############################################################################
if not cbgList:
# no CBG on the reverse strand
return None
else:
# return the highest scoring CBG as a ReversecomlementCodingBlockGraph
return CodingBlockGraph2ReversecomlementCodingBlockGraph(
cbgList.codingblockgraphs[0])
########################################################################
if verbose:
print "ORFS:", org, len(orfs[org].orfs),
print [ orf.id for orf in orfs[org].orfs ],
print [ str(orf) for orf in orfs[org].orfs ]
########################################################################
for orgQ,orgS in cbg.pairwisecrosscombinations_organism():
# create blastdb if it does not exist yet
if not blastdbs.has_key(orgS):
formatdb(fname=multifastas[orgS])
blastdbs[orgS] = multifastas[orgS]
for orfQ in orfs[orgQ].orfs:
# run blast_seqs2db
blastrec = blastall_seq2db(orfQ.id,orfQ.protein_sequence,
dbname="./"+blastdbs[orgS])
if len(blastrec.alignments) == 0: continue
for alignment in blastrec.alignments:
# obtain coordinates from sbjct orf identifier
orfid = alignment.title.replace(">","").split(" ")[0].replace("_","")
orfS = orfs[orgS].get_orf_by_id(int(orfid))
nodeQ = ( orgQ, orfQ.id )
nodeS = ( orgS, orfS.id )
if nodeQ in cbg.get_nodes() and nodeS in cbg.get_nodes():
pacbporf = cbg.get_pacbps_by_nodes(node1=nodeQ,node2=nodeS)[0]
else:
# take only the *best* HSP (highest scoring first one)
hsp = alignment.hsps[0]
def blastanalysescbgjunction(gsg,prevCBG,nextCBG,
omit_cbg_orfs = False,
omit_non_cbg_orfs = False,
extra_blastp_params=CBG_JUNCTION_BLAST2PACBPCOL_EXTRA_BLASTP_PARAMS,
omsr_2_mask_aa_length_correction=CBG_JUNCTION_BLAST2PACBPCOL_OMSR_2_AA_MASK,
verbose=False):
"""
"""
############################################################
if verbose:
stw = StopWatch('blastanalysescbgjunction')
stw.start()
############################################################
orfs = {}
if not omit_cbg_orfs:
# gather Orfs from prevCBG and nextCBG
for org,orflist, in prevCBG.get_orfs_of_graph().iteritems():
orf = orflist[0]
orfs[(org,orf.id)] = orf
for org,orflist, in nextCBG.get_orfs_of_graph().iteritems():
orf = orflist[0]
orfs[(org,orf.id)] = orf
############################################################
if verbose:
print stw.lap(), "orfs (1):",len(orfs)
print _format_orf_nodes_to_string(orfs.keys())
############################################################
# create masked fasta database in a dict
fastadbmfa = parseFasta(
create_hmmdb_for_neighbouring_cbgs(
gsg.input,prevCBG,nextCBG,
omsr_2_mask_aa_length_correction=omsr_2_mask_aa_length_correction,
).split("\n")
)
############################################################
if verbose: print stw.lap(), "fasta db (1):",len(fastadbmfa)
############################################################
# remove ORFs that do not belong to prevCBG and nextCBG,
# or that DO belong to prevCBG and nextCBG, or neither
fastaheaders = fastadbmfa.keys()
for header in fastaheaders:
org,orfid = header.split("_orf_")
orfid = int(orfid)
node = (org,orfid)
# check for the omit_non_cbg_orfs criterion
add_orf = False
if omit_non_cbg_orfs:
if node not in orfs:
del(fastadbmfa[header])
else:
add_orf = True
# check for the omit_cbg_orfs criterion
if omit_cbg_orfs and node in orfs:
del(fastadbmfa[header])
if add_orf:
# get this Orf and add to orfs
orfs[node] = gsg.input[org]['orfs'].get_orf_by_id(orfid)
############################################################
if verbose:
print stw.lap(), "fasta db (2):",len(fastadbmfa)
print _format_fastadbmfa_nodes_to_string(fastadbmfa.keys())
############################################################
############################################################
if verbose:
print stw.lap(), "orfs (2):",len(orfs)
print _format_orf_nodes_to_string(orfs.keys())
############################################################
# no query/sbjct range left at all
if not fastadbmfa: return []
# check if all organisms are still covered
orgSet = Set([ k.split("_orf_")[0] for k in fastadbmfa.keys()])
if orgSet.symmetric_difference(gsg.organism_set()):
return []
# create !single! fasta database
fastadbname = prevCBG.barcode()+"_"+nextCBG.barcode()+".mfa"
writeMultiFasta(fastadbmfa,fastadbname)
formatdb(fname=fastadbname)
# remap the identifiers of the orf objects i.o.t....
multifastas = {}
blastdbs = {}
pacbpcol = PacbpCollectionGraph()
dpcpacbpcol = PacbpCollectionGraph() # ``deepcopied`` variant for pacbps
############################################################
if verbose: print stw.lap(), "blastp starting"
############################################################
for orgQ,orgS in prevCBG.pairwisecrosscombinations_organism():
for nodeQ,orfQ in orfs.iteritems():
# only blast the (masked) Orfs of orgQ
if prevCBG.organism_by_node(nodeQ) != orgQ: continue
# get the masked protein sequence of this orfObj
header = orgQ+"_orf_"+str(orfQ.id)
# check if key exists in fastadbmfa. In a case where
# an Orf is masked out completely, it is absent here!
if not fastadbmfa.has_key(header): continue
protseq = fastadbmfa[orgQ+"_orf_"+str(orfQ.id)]
# run blast_seqs2db
blastrec = blastall_seq2db(orfQ.id,protseq,fastadbname,
extra_blastp_params=extra_blastp_params)
# omit empty blast records
if len(blastrec.alignments) == 0: continue
for alignment in blastrec.alignments:
# get sbjct Org and Orf identifiers
_orgS,_orfSid = alignment.title.replace(">","").split("_orf_")
if _orgS != orgS: continue
nodeS = (_orgS,int(_orfSid))
orfS = orfs[nodeS]
# take only the *best* HSP (highest scoring first one)
hsp = alignment.hsps[0]
# correct to absolute positions
hsp.query_start = hsp.query_start + orfQ.protein_startPY
hsp.sbjct_start = hsp.sbjct_start + orfS.protein_startPY
# initialize the PacbP
pacbporf = pacb.conversion.pacbp2pacbporf(
pacb.PacbP(blastp_hsp=hsp),orfQ,orfS)
################################################################
if verbose:
print pacbporf, orgQ,orgS, orfQ
print pacbporf.query
print pacbporf.match
print pacbporf.sbjct
################################################################
# create nodes; ( Organism Identifier, Orf Identifier )
nodeQ = ( orgQ, orfQ.id )
nodeS = ( orgS, orfS.id )
uqkey = pacbporf.construct_unique_key(nodeQ,nodeS)
if not nodeQ in pacbpcol.get_nodes(): pacbpcol.add_node(nodeQ)
if not nodeS in pacbpcol.get_nodes(): pacbpcol.add_node(nodeS)
pacbpcol.add_edge(nodeQ,nodeS,wt=pacbporf.bitscore)
# store to dpcpacbpcol -> pacbpcol is broken in pieces lateron!
dpcpacbpcol.pacbps[(uqkey,nodeQ,nodeS)] = pacbporf
############################################################
if verbose: print stw.lap(), "blastp done"
############################################################
# file cleanup
_file_cleanup(multifastas.values())
_file_cleanup(["formatdb.log"])
_file_cleanup([ fname+".*" for fname in blastdbs.values()])
# check if all Organism/Gene identifiers are covered in PacbPs
if not pacbpcol.organism_set_size() == gsg.organism_set_size():
return []
# ``deepcopy`` PacbPcollection pacbpcol to dpcpacbpcol
# In dpcpacbpcol the actual PacbPORFs are stores & kept,
# whereas pacbpcol itself is splitted in CBGs (which
# function does not yet (!?) take the actual pacbps into account)
dpcpacbpcol.add_nodes( pacbpcol.get_nodes() )
for (uqkey,nodeQ,nodeS) in dpcpacbpcol.pacbps.keys():
(bitscore,length,orfQid,orfSid) = uqkey
dpcpacbpcol.add_edge(nodeQ,nodeS,wt=bitscore)
################################################################
if verbose:
print pacbpcol
print "PCG bitscores:",
print [ p.bitscore for p in dpcpacbpcol.pacbps.values() ]
