def prepare_lsrcbg_and_cbg_for_gsg_insertion(cbgL,cbgR):
"""
"""
cbgL.IS_SPLITTED = True
cbgL.IS_3P_SPLITTED = True
cbgR.IS_SPLITTED = True
cbgR.IS_5P_SPLITTED = True
# an lsrCBG / splitted interface is always is_optimal!
cbgIF = CodingBlockGraphInterface(cbgL,cbgR)
cbgL._CBGinterface3p = cbgIF
cbgR._CBGinterface5p = cbgIF
def create_cbginterfaces(self,
ignore_optimal=True,
ignore_compatible=True,
allow_phase_shift=False,
allow_non_canonical=False,
optimizetinyexoninterface=False,
verbose=False):
"""
(Re)create CBGInterface objects in between CBGs in this GSG
@type ignore_optimal: Boolean
@param ignore_optimal: Once a CBGInterface is optimal, do not recreate it
@type ignore_compatible: Boolean
@param ignore_compatible: Once a CBGInterface is compatible, do not recreate it
@type allow_phase_shift: Boolean
@param allow_phase_shift: (re)create CBGInterfaces allowing a phase shift of splice sites
@type allow_non_canonical: Boolean
@param allow_non_canonical: (re)create CBGInterfaces allowing non-canonical (donor) splice sites
@type optimizetinyexoninterface: Boolean
@param optimizetinyexoninterface: do a quick optimization of ths cbgIF
(non-canonical, short suitable splice site range etc
@type verbose: Boolean
@param verbose: print status messages to STDOUT
@rtype: Integer
@return: number of CBGInterfaceobjects that is (re)created
"""
RECREATED_CNT = 0
for pos in range(1, len(self)):
cbgD, cbgA = self[pos - 1], self[pos]
CREATE_INTERFACE = False
has_interface_donor = self.has_donor_cbginterface(cbgD)
has_interface_acceptor = self.has_acceptor_cbginterface(cbgA)
if has_interface_donor and has_interface_acceptor:
# interface objects already exist; only (re)create when not ignore_optimal
pass
#if self.cbginterface_is_optimal_donor(cbgD) and self.cbginterface_is_optimal_acceptor(cbgA):
# if not ignore_optimal: CREATE_INTERFACE = True
#elif self.cbginterface_is_compatible_donor(cbgD) and self.cbginterface_is_compatible_acceptor(cbgA):
# if not ignore_compatible: CREATE_INTERFACE = True
#else:
# CREATE_INTERFACE = True
elif has_interface_donor:
CREATE_INTERFACE = True
elif has_interface_acceptor:
CREATE_INTERFACE = True
else:
CREATE_INTERFACE = True
if CREATE_INTERFACE:
cbgIF = CodingBlockGraphInterface(cbgD, cbgA)
cbgIF.harvest_splice_sites(
allow_phase_shift=allow_phase_shift,
allow_non_canonical=allow_non_canonical)
cbgIF.find_conserved_splice_sites()
if optimizetinyexoninterface:
cbgIF.optimizetinyexoninterface()
# and set the interface objects to the CBGs in GSG
cbgD._CBGinterface3p = cbgIF
cbgA._CBGinterface5p = cbgIF
RECREATED_CNT += 1
if verbose: print cbgIF
else:
if verbose: print cbgD._CBGinterface3p, "EXISTING"
# set current first & last CBG as IS_FIRST and IS_LAST
if len(self):
self.codingblockgraphs[0].IS_FIRST = True
self.codingblockgraphs[-1].IS_LAST = True
# return counter for how much CBGInterfaces are recreated
return RECREATED_CNT
def cbg_cexpander_inframe_intron_search(self,
min_total_pssm_score = MIN_TOTAL_PSSM_INFRAME_INTRON,
min_intron_nt_length = MIN_INTRON_NT_LENGTH,
verbose=False):
"""
@type self: CodingBlockGraph
@param self: CodingBlockGraph instance
@type min_total_pssm_score: float
@param min_total_pssm_score: MIN_TOTAL_PSSM_INFRAME_INTRON
@type min_intron_nt_length: integer
@param min_intron_nt_length: MIN_INTRON_NT_LENGTH
@type verbose: Boolean
@param verbose: print status/debugging messages to STDOUT
@rtype: list or False
@return: list with new (sub)CBGs or False when not splitted
"""
########################################################################
if verbose:
stw = StopWatch(name="cexpCbgIfIntron")
stw.start()
########################################################################
# return variable; list of splitted CBGs.
return_cbg_list = [ self ]
# create cexpander multiplealignment blocks
cbgMA = lib_cexpander.cexpander2multiplealignment(self._cexpander,
verbose=verbose)
# In freak-accident cases (one in thousends of times), cexpander produces
# unequal amount of 1's in the binarystrings. This is theoretically impossible.
# Problem is worked on; in the meanwhile, cexpander2multiplealignment returns
# False in these cases. Catch this here by quiting current
# cbg_cexpander_inframe_intron_search() function call and return False
TODO=True
if not cbgMA: return False
########################################################################
if verbose:
print stw.lap()
blockscnt = len( cbgMA[ cbgMA.keys()[0] ] )
print self
print "BLOCKS:", blockscnt, self._cexpander.binarystring,
print self._cexpander.projected_on
for org in cbgMA.keys():
print org, "\t",
for blockid in range(0,blockscnt):
if cbgMA[org][blockid].count("1") >= 1:
print len(cbgMA[org][blockid]),
else:
print cbgMA[org][blockid],
print ""
########################################################################
# loop over the aligned cexpander blocks and check the
# non-uniformly aligned blocks for length variation
blockscnt = len( cbgMA[ cbgMA.keys()[0] ] )
oricbgomsr = self.overall_minimal_spanning_range()
for blockid in range(0,blockscnt):
# obtain non-uniformly aligned AA lengths for this block
lengths = {}
for org in cbgMA.keys():
lengths[org] = cbgMA[org][blockid].count("0")
# skip the uniformly aligned blocks
if list(Set(lengths.values())) == [0]: continue
####################################################################
if verbose: print stw.lap(), "lengths:", lengths
####################################################################
# obtain coordinates for this area
lsrcoords = {}
for org in cbgMA.keys():
node = self.node_by_organism(org)
coordSta = min(oricbgomsr[node])
# make summation of length of preceeding (non)aligned blocks
for i in range(0,blockid):
coordSta += cbgMA[org][i].count("1") +\
cbgMA[org][i].count("0")
# end coord is start coord + length of current block
coordEnd = coordSta + lengths[org]
lsrcoords[org] = ( coordSta, coordEnd )
####################################################################
if verbose: print stw.lap(), "lsrcoords:", lsrcoords
####################################################################
# translate AA lengths to NT lengths
for k in lengths.keys(): lengths[k] = lengths[k]*3
# check lenght discrepancy and assign putative inframe introns
putative_inframe_intron_orgs =\
_length_discrepancy_to_potential_inframe_introns(lengths)
if not putative_inframe_intron_orgs:
# no length discrepancy that can represent an inframe intron
continue
# organisms/genes for which an inframe intron can be an improvement
# data dictionary. Keys: 'max_nt_length', 'min_nt_length',
# 'min_donor_pos', 'max_acceptor_pos', 'min_total_pssm'
inframe_intron_criteria = {}
# find putative inframe introns in assigned genes/organisms
putative_inframe_introns = {}
for org in putative_inframe_intron_orgs:
# assign inframe intron criteria for this organism
inframe_intron_criteria[org] = {
'min_nt_length' : min_intron_nt_length,
'min_total_pssm' : min_total_pssm_score,
'min_donor_pos' : (min(lsrcoords[org]) - 5) * 3,
'max_acceptor_pos' : (max(lsrcoords[org]) + 5) * 3,
}
# search for potential introns that can be responsible for this event
theorf = self.get_orfs_of_graph(organism=org)[0]
introns = pacb.connecting.merge_orfs_with_intron( theorf,theorf,
min_intron_nt_length=min_intron_nt_length
)
################################################################
if verbose: print "introns:", org, len(introns), "raw"
################################################################
# filter introns for all outside the OMSR, to short, to long,
# total pssm_score etc
introns = _filter_putative_inframe_intron_list(
introns,org,inframe_intron_criteria)
putative_inframe_introns[org] = introns
################################################################
if verbose: print "introns:", org, len(introns), "filtered"
################################################################
# check if all putative_inframe_intron_orgs have indeed introns
# and check if all have at least a single intron phase in common
if 0 in [ len(ill) for ill in putative_inframe_introns.values() ]:
# no introns in one or more organisms/genes -> continue
continue
if len( putative_inframe_introns )> 1:
# do phase check in all organisms/genes
phases = Set([0,1,2])
for org, intronlist in putative_inframe_introns.iteritems():
thisphases = Set([ intron.phase for intron in intronlist ])
phases.intersection_update(thisphases)
if len(phases) == 0:
################################################################
if verbose: print "no mutual phase -> no cbgIF.is_optimal()"
################################################################
# no mutual phase -> no cbgIF.is_optimal() possible lateron
continue
else:
pass
# if an intron in at least a single organism is still there,
# then split the involved pacbps in the `original` cbgL, the last
# added CBG element in the return_cbg_list, and make a (virtual)
# deepcopy of a novel cbgL. Both CBGs have actually the SAME pacbps!
cbgR = self.deepcopy()
cbgL = self.deepcopy()
# loop over the organisms/genes with inframe introns split
# the Pacbps of these orgs in both to-become L and R CBGs
inframe_intron_orgs = putative_inframe_introns.keys()
for org in inframe_intron_orgs:
################################################################
if verbose:
print "splitting PACBPs for org:", org
print "L", cbgL
print "R", cbgL
################################################################
node = self.node_by_organism(org)
replacementsL = {}
replacementsR = {}
for (key,node1,node2), pacbporf in cbgL.pacbps.iteritems():
if node in [node1,node2]:
# get the pacbp of this pacbporf and split it!
pacbp = pacb.conversion.pacbporf2pacbp(pacbporf)
org1 = self.organism_by_node(node1)
org2 = self.organism_by_node(node2)
if org1 in putative_inframe_introns.keys() and\
org2 in putative_inframe_introns.keys() and\
inframe_intron_orgs.index(org) > 0:
# already splitted; both orgs are inframe introns!
continue
# make split coordinates relative
splitL = lsrcoords[org1][0] - pacbp.query_start
splitR = lsrcoords[org1][1] - pacbp.query_start
pacbpL = pacb.splitting.split_pacb_on_coordinates(
pacbp,(splitL,splitL),returnside='left')
pacbpR = pacb.splitting.split_pacb_on_coordinates(
pacbp,(splitR,splitR),returnside='rigth')
# check if both cbgL and cbgR make sence
# if not -> return False!
if not pacbpL: return False
if not pacbpR: return False
########################################################
if verbose:
print "#", node1, node2, lsrcoords[org1],
print "L:", splitL, "R:", splitR
print pacbp
print pacbpL
print pacbpR
########################################################
# pacbpL -> extented pacbporfL -> store to replacementsL
newpacbporfL = pacb.conversion.pacbp2pacbporf(pacbpL,
pacbporf.orfQ,pacbporf.orfS)
newpacbporfL.extend_pacbporf_after_stops()
replacementsL[(key,node1,node2)] = newpacbporfL
# pacbpR -> extented pacbporfR -> store to replacementsR
newpacbporfR = pacb.conversion.pacbp2pacbporf(pacbpR,
pacbporf.orfQ,pacbporf.orfS)
newpacbporfR.extend_pacbporf_after_stops()
replacementsR[(key,node1,node2)] = newpacbporfR
# do the pacbporf replacements in both CBGs
statusL = _update_cbg_with_pacbporf_replacements(
cbgL,replacementsL)
statusR = _update_cbg_with_pacbporf_replacements(
cbgR,replacementsR)
# check if both cbgL and cbgR make sence
if not statusL or not statusR:
# return unchanged cbg status -> False
return False
# Verify the interface between cbgL and cbgR.
# Most likely, the sites are nicely alignable.
cbgIF = CodingBlockGraphInterface(cbgL,cbgR)
cbgIF.force_intron_in_organisms( putative_inframe_introns.keys() )
cbgIF.allow_intron_in_organisms( putative_inframe_introns.keys() )
cbgIF.harvest_splice_sites()
cbgIF.find_conserved_splice_sites()
####################################################################
if verbose:
print cbgL
print cbgIF
print cbgR
cbgIF.interfaceproperties()
####################################################################
# check the properties of the CBGinterface
if cbgIF.optimalitycheck().count(True) >= 2:
# yes; is_compatible and donor and/or acceptor is optimal
cbgL._CBGinterface3p = cbgIF
cbgR._CBGinterface5p = cbgIF
cbgL.copy_5pcbginterface_from_othercbg(self)
cbgR.copy_3pcbginterface_from_othercbg(self)
return_cbg_list = [ cbgL, cbgR ]
################################################################
if verbose: print "INFRAME INTRON CONFIRMED!!"
################################################################
else:
# no compatible interface... although intron(s) was/were found!
# (at least) two options are now open:
# 1. enforce the intron(s) and create cbgIF with _forced_ends
# 2. ignore the intron(s) and create an intermediate lsrCBG
# 1. is `tricky`. First, how sure is this inframe intron,
# what type of criteria do we assume etc etc.
# second, how to create a coorect cbgIF? It must be an
# IS_SPLITTED interface, of which the boundaries might fall
# outside the OMSR's of the CBGs.
# 2. ignore the intron(s) and create an intermediate lsrCBG
lsrCBG = create_intermediate_lowsimilarity_region(cbgL,cbgR)
prepare_lsrcbg_and_cbg_for_gsg_insertion(cbgL,lsrCBG)
prepare_lsrcbg_and_cbg_for_gsg_insertion(lsrCBG,cbgR)
cbgL.copy_5pcbginterface_from_othercbg(self)
cbgR.copy_3pcbginterface_from_othercbg(self)
return_cbg_list = [ cbgL, lsrCBG, cbgR ]
################################################################
if verbose:
print "no INFRAME INTRON -> lsrCBG"
print cbgL
print " ", lsrCBG._CBGinterface5p
print " ", lsrCBG
print " ", lsrCBG._CBGinterface3p
print cbgR
self.printmultiplealignment()
print cbgL
cbgL.printmultiplealignment()
print cbgR
cbgR.printmultiplealignment()
################################################################
# EOF this function.
# return False if this CBG remained intact, list of splits when splitted
if len(return_cbg_list) == 1:
return False
else:
return return_cbg_list
def check_lsrcbgs_for_inframe_introns(self,verbose=False):
"""
Check the lsrCBGs in the GSG and see if these regions can better be explained by an inframe intron
"""
INFRAME_INTRONS_PREDICTED = 0
LSR_RECREATED = 0
for cbgpos in range(len(self)-1,-1,-1):
cbg = self.codingblockgraphs[cbgpos]
if cbg.__class__.__name__ != 'LowSimilarityRegionCodingBlockGraph':
continue
# do the inframe intron analyses on a lsrCBG
inframeintrons = cbg.potentially_contains_inframe_intron(verbose=verbose)
# aparantly it seems possible to create one or more introns in the lsrCBG
if inframeintrons:
# get the bordering CBGs
prev = self.codingblockgraphs[cbgpos-1]
next = self.codingblockgraphs[cbgpos+1]
# make CBGInterface between prev and next;
# reset the _IS_SPLITTED tags!
prev._splicedonorgraph = None
prev._CBGinterface3p = None
prev._forced_3p_ends = {}
prev.IS_3P_SPLITTED = False
prev.IS_SPLITTED = prev.IS_5P_SPLITTED
next._spliceacceptorgraph = None
next._CBGinterface5p = None
next._forced_5p_ends = {}
next.IS_5P_SPLITTED = False
next.IS_SPLITTED = next.IS_3P_SPLITTED
# create an actual CBGInterface of both CBGs around the lsrCBG
cbgIF = CodingBlockGraphInterface(prev,next)
if verbose: print cbgIF
# re-harvest splice sites; store ALL the intron-projected sites
cbgIF.harvest_splice_sites(allow_phase_shift=False,store_all_projected_sites=True)
if verbose: print cbgIF
# now remove all non-projected splice-sites in organisms that
# are not reported to have a potential inframe intron
cbgIF.allow_intron_in_organisms(inframeintrons)
cbgIF.find_conserved_splice_sites()
if verbose:
print cbgIF
print "compatible:", cbgIF.is_compatible(), "optimal:", cbgIF.is_optimal()
print cbgIF._optimal_aligned_donor
print cbgIF._optimal_aligned_acceptor
# yes, this is what we expect; a compatible CBGInterface!
# this very likely represents an inframe intron!
if cbgIF.is_compatible():
# remove the lsrCBG from the GSG
lsrCBG = self.codingblockgraphs.pop(cbgpos)
# set the CBGInterface object in next and prev CBG
prev._CBGinterface3p = cbgIF
next._CBGinterface5p = cbgIF
# increase the counter of number of inframe introns predicted
INFRAME_INTRONS_PREDICTED+=1
############################################################
if verbose: print "INFRAME INTRON PREDICTED!!"
############################################################
else:
# nope, this does not seem like a proper inframe intron
# reset the CBGs and the lsrCBG objects as they were!
# If this point is reached, `first` and `second` are CBGs with exactly the same nodes
# create intermediate lsrCBG
prev.IS_SPLITTED = True
prev.IS_3P_SPLITTED = True
next.IS_SPLITTED = True
next.IS_5P_SPLITTED = True
lsrCBG = create_intermediate_lowsimilarity_region(prev,next)
self.codingblockgraphs[cbgpos] = lsrCBG
# recreate the CBGInterfaces (I)
cbgIFa = CodingBlockGraphInterface(prev,lsrCBG)
cbgIFa.harvest_splice_sites()
cbgIFa.find_conserved_splice_sites()
# set the interface object to the CBGs in GSG
prev._CBGinterface3p = cbgIFa
lsrCBG._CBGinterface5p = cbgIFa
# recreate the CBGInterfaces (II)
cbgIFb = CodingBlockGraphInterface(lsrCBG,next)
cbgIFb.harvest_splice_sites()
cbgIFb.find_conserved_splice_sites()
# set the interface object to the CBGs in GSG
lsrCBG._CBGinterface3p = cbgIFb
next._CBGinterface5p = cbgIFb
############################################################
if verbose: print "NO COMPATIBLE SITE!"
############################################################
###for org in inframeintrons:
### print org, "NO COMPATIBLE SITES FOUND!"
### print prev
### print cbgIF
### print next
### theorf = next.get_orfs_of_graph(organism = org )[0]
### print theorf
### theorf.printproteinanddna()
### for donor in theorf._donor_sites: print donor
### for acceptor in theorf._acceptor_sites: print acceptor
# return number of found inframe introns
return INFRAME_INTRONS_PREDICTED
def search_for_lowsimilarity_regions(self,aligned_intron_min_aa_length=ALIGNED_INTRON_MIN_AA_LENGTH,verbose=False):
"""
Search CBGs in genestructure for lowsimilarity regions
"""
################################################################
if verbose:
stw = StopWatch(name='lsrCBGsearch')
stw.start()
################################################################
# Loop reversed through genestructure to make sure that once
# a CBG is splitted, the positions of the remainder of the
# list stay intact.
for posinGSG in range(len(self)-1,-1,-1):
sg = self.codingblockgraphs[posinGSG]
# skip IGNORED, lsrCBG and CBGs that are incomplete (still await HMM completion)
if sg.IS_IGNORED: continue
if sg.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph': continue
if sg.node_count() < self.EXACT_SG_NODE_COUNT: continue
if verbose: print stw.lap(), posinGSG, "start"
# check for potential aligned intron
if sg.potentially_contains_aligned_intron(window_aa_size=aligned_intron_min_aa_length):
########################################################
if verbose:
print stw.lap(), posinGSG, "found"
for k,v in sg.getomsrproteinsequences().iteritems():
print ">%s\n%s\n" % (k,v)
print "ABOUT TO SPLIT:", sg
print sg._cexpander.binarystring,
print sg._cexpander.projected_on
sg.printmultiplealignment()
for k,pacbp in sg.pacbps.iteritems(): print k, pacbp
########################################################
# now actually split by inframe intron
res = sg.split_codingblock_by_inframe_intron()
if len(res) == 1:
# no inframe intron found here
pass
else:
# prepare the CBGs for insertion
for pos in range(0,len(res)):
splittedCBG = res[pos]
splittedCBG.extend_pacbporfs(self.input)
splittedCBG.update_edge_weights_by_minimal_spanning_range()
splittedCBG.IS_SPLITTED = True
if pos > 0:
splittedCBG.IS_5P_SPLITTED = True
splittedCBG.IS_FIRST = False
if pos < len(res)-1:
splittedCBG.IS_3P_SPLITTED = True
splittedCBG.IS_LAST = False
# (re)create the cache for the splitted CBGs
splittedCBG.create_cache()
################################################
if verbose:
print stw.lap(), posinGSG, "done!"
print "SUCCESFULLY SPLITTED:", splittedCBG
splittedCBG.printmultiplealignment()
print splittedCBG._cexpander.binarystring,
print splittedCBG._cexpander.projected_on
print splittedCBG._omsr
for trf in splittedCBG._cexpander._transferblocks:
print trf.binarystring, trf.projected_on
for k,v in splittedCBG._cexpander.inputsequences.iteritems():
print v,"\t",k
for _org,orflist in splittedCBG.get_orfs_of_graph().iteritems():
print orflist[0], _org
for pacbp in splittedCBG.pacbps.values():
print pacbp
pacbp.print_protein(_linesize=100)
################################################
# create lsrCBGs and cbgIFs between them by looping in reversed
# order over all pairs of CBGs (because lsrCBG insertion in list)
for pos in range(len(res)-2,-1,-1):
cbgL,cbgR = res[pos:pos+2]
lsrCBG = create_intermediate_lowsimilarity_region(cbgL,cbgR)
res.insert(pos+1,lsrCBG)
# create cbgIF between the CBGs and the lsrCBG
# just create -> cbgIF with lsrCBG is immediately is_optimal()
cbgIFa = CodingBlockGraphInterface(cbgL,lsrCBG)
cbgIFb = CodingBlockGraphInterface(lsrCBG,cbgR)
# set cbgIF objects to the CBGs and the lsrCBG
cbgL._CBGinterface3p = cbgIFa
lsrCBG._CBGinterface5p = cbgIFa
lsrCBG._CBGinterface3p = cbgIFb
cbgR._CBGinterface5p = cbgIFb
# update the first and last CBG in this list with the
# cbgIFs of the parental CBG (variable sg)
res[0]._CBGinterface5p = sg._CBGinterface5p
res[-1]._CBGinterface3p = sg._CBGinterface3p
# update the original IS_FIRST/IS_LAST status
res[0].IS_FIRST = sg.IS_FIRST
res[-1].IS_LAST = sg.IS_LAST
# and set splittedCBGs to genestructure
# by replacing the existing CBG (variable sg) on the
# position posinGSG with the list op splitted CBGs
self.codingblockgraphs.__setslice__(posinGSG,posinGSG+1,res)
else:
# nope, no potential inframe intron; just append
###print sg.total_weight(), False
pass
def construct_final_tiny_cbg(self,
max_exon_nt_length=SHORT_TAILINGEXON_MAX_NT_LENGTH,
max_intron_nt_length=SHORT_TAILINGEXON_MAX_INTRON_NT_LENGTH,
take_max_best_acceptors=SHORT_TAILINGEXON_TAKE_MAX_BEST_ACCEPTORS,
take_max_best_ecgs=SHORT_TAILINGEXON_TAKE_MAX_BEST_ECGS,
take_max_best_cbgs=SHORT_TAILINGEXON_TAKE_MAX_BEST_CBGS,
maximal_current_stopcodongraph_average_weight=0.90,
minimal_last_vs_new_identity_ratio=0.80,
maximal_cexpander_cbg_tail_uniformity_aa_length=3,
elegiable_donor_omsr_nt_offset=21,
verbose=False):
"""
Make a tiny final CBG by ``shooting tiny exons into the deep``
"""
# get current last CBG
last = self.get_final_cbg()
# check if final tail of this CBG is uniformaly alignable
cxpdrOutput = cexpanderanalyses_omsr2orfend(last)
IS_UNIFORMLY_ALIGNED = True
for trf in cxpdrOutput._transferblocks:
if trf.binarystring[-maximal_cexpander_cbg_tail_uniformity_aa_length:].count("0"):
IS_UNIFORMLY_ALIGNED = False
break
############################################################
if verbose:
print "Cexpander uniformaly aligned:",
print maximal_cexpander_cbg_tail_uniformity_aa_length,
print "->", IS_UNIFORMLY_ALIGNED
print "omsr: ", last._cexpander.projected_on,
print last._cexpander.binarystring
trf = cxpdrOutput.get_transfer_of_projected_on(
last._cexpander.projected_on)
if trf and trf != True:
print "omsr2orfend:", last._cexpander.projected_on,
print trf.binarystring
############################################################
if IS_UNIFORMLY_ALIGNED:
# break out of this function. Chance of overpredicting
# a final tiny exon is bigger then finding a True one!
return False
# check if the stopcodongraph is not (very) good already
if last._stopcodongraph.average_weight() >=\
maximal_current_stopcodongraph_average_weight:
# break out of this function. Chance of overpredicting
# a final tiny exon is bigger then finding a True existing one
return False
# start the timer (performance benchmark in verbose mode)
stw = StopWatch(name='stwFinalECG')
stw.start()
# get FinalExons on elegiable Orfs based on distance towards OMSR of
# current last CBG and minimal acceptor site score
omsr = last.overall_minimal_spanning_range()
maxsr = last.maximal_spanning_range()
ECG = ExonCollectionGraph()
################################################################
if verbose:
print "currentLAST", last
print last._stopcodongraph
print last._stopcodongraph.is_optimal()
for org in last.organism_set():
print org, last._stopcodongraph.is_optimal(organism=org)
for organism in last.organism_set():
node = last.node_by_organism(organism)
theorf = last.get_orfs_of_graph(organism=organism)[0]
print organism, "\t", node, "\t", max(omsr[node]), "\t",
print max(maxsr[node]), theorf.endPY/3
################################################################
for organism in last.organism_set():
node = last.node_by_organism(organism)
# calculate an offset for the acceptor position
# variable elegiable_acceptor_omsr_nt_offset is needed to
# enlarge the OMSR definded offset. When the OMSR is by chance
# a few nt or aa larger than the actual exon length, the true
# acceptor position can be erroneously abandoned.
offset = max(omsr[node]) * 3 - elegiable_donor_omsr_nt_offset
theorf = last.get_orfs_of_graph(organism=organism)[0]
# check if this final orf is self can serve as a final extension
remaining_orf_nt_length = (theorf.protein_endPY - max(omsr[node])) * 3
remaining_maxsr_nt_length = (max(maxsr[node]) - max(omsr[node])) * 3
remaining_maxsr_tostop_nt_length = (theorf.protein_endPY - max(maxsr[node])) * 3
FIND_NEW_FINAL_ORFS = True
STORE_CURRENT_ORF_AS_FIOO = False
if remaining_maxsr_nt_length >= max_exon_nt_length:
# exceptionally large maxsr on rigth side of omsr
# store as FIOO but to NOT search for an orf extension!
### FIND_NEW_FINAL_ORFS = False # discarded 17/09/2009; when poos maxsr present, overruled!
STORE_CURRENT_ORF_AS_FIOO = True
elif remaining_maxsr_tostop_nt_length <= 18:
# maxsr is less then 6 AA apart from stop on current orf
#FIND_NEW_FINAL_ORFS = False
STORE_CURRENT_ORF_AS_FIOO = True
elif remaining_orf_nt_length < max_exon_nt_length:
# final piece of unaligned sequence is a perfect HMM seed
STORE_CURRENT_ORF_AS_FIOO = True
else:
pass
if STORE_CURRENT_ORF_AS_FIOO:
cbs = CodingBlockStart( theorf.aapos2dnapos( max(omsr[node]) ) )
# set pssm_score to (very) high; this rewards
# using the current Orf as the last Orf
cbs.pssm_score = 20.0
fioo = FinalExonOnOrf(cbs,theorf.endPY,theorf)
node = (organism,theorf.id,fioo.start,fioo.end)
ECG.add_node_and_object(node,fioo)
################################################################
if verbose:
print organism,theorf.id,"self==potential last exon", remaining_orf_nt_length
print organism, theorf.id, fioo, fioo.start,fioo.end, theorf.endPY
################################################################
if not FIND_NEW_FINAL_ORFS:
# quit here -> no orf extension of this CBG
continue
# get elegiable (new) final orfs
orflist = self.input[organism]['orfs'].get_elegiable_orfs(
max_orf_start=offset+max_intron_nt_length,
min_orf_end=offset )
################################################################
if verbose:
print organism, [ orf.id for orf in orflist ], "offset:", offset, offset/3
################################################################
for orf in orflist:
results = find_tailing_exon_on_orf(
theorf,orf,
current_donor_pos=offset,
max_tailingexon_nt_length=max_exon_nt_length,
max_tailingexon_intron_nt_length=max_intron_nt_length,
)
for exon,intron in results:
node = (organism,orf.id,exon.start,exon.end)
if node not in ECG.get_nodes():
ECG.add_node_and_object(node,exon)
if verbose: print organism, node, exon
if verbose: print stw.lap(), "Exon objects gathered", ECG.node_count()
# now take only the best `take_max_best_acceptors`
# because there can be quite some of them!
for organism in ECG.organism_set():
objects = ordering.order_list_by_attribute( ECG.get_organism_objects(organism), order_by='pssm_score', reversed=True )
for obj in objects[take_max_best_acceptors:]:
node = (organism,obj.orf.id,obj.start,obj.end)
ECG.del_node(node)
if verbose: print "deleted:", node, obj.orf.id, obj.pssm_score
########################################################################
if verbose:
print stw.lap(), ">take_max_best_acceptors DELETED"
for organism in ECG.organism_set():
for obj in ordering.order_list_by_attribute(
ECG.get_organism_objects(organism),
order_by='pssm_score', reversed=True
):
print "remaining", organism, obj.orf.id, obj.length, obj
########################################################################
# only continue if all organisms are represented in the ECG
if last.organism_set_size() > ECG.organism_set_size():
if verbose: print "To few organisms/genes present -> return False"
return False
# create edges in the ECG between compatible phases and
# exon length, then make pacbps for these edges
ECG.create_edges()
ECG.make_pacbps_for_edges()
if verbose:
print stw.lap(), "edges + PACBPS created:", ECG.edge_count(), ECG.node_count(), len(ECG.pacbps)
# search for complete graphs in this
last_exon_graphs = ECG.find_fully_connected_subgraphs()
########################################################################
if verbose:
print stw.lap(), "duration of ECG.find_fully_connected_subgraphs()",
print len(last_exon_graphs)
########################################################################
# only continue if there is an perfectly aligned last exon graph
if not (last_exon_graphs and last_exon_graphs[0].connectivitysaturation() == 1.0):
####################################################################
if verbose: print "no perfect aligned last exon graph -> return False"
####################################################################
return False
# convert to CodingBlockGraphs
new_last_cbgs = []
for leg in last_exon_graphs[0:take_max_best_ecgs]:
cbg = ExonCollectionGraph2CodingBlockGraph(leg,is_last=True,lastCBG=last)
if cbg != False and cbg != None and cbg.organism_set_size() == last.organism_set_size():
# create cache of CBG and do final check on quality
cbg.create_cache()
if (cbg.total_weight() < 0 or cbg.omsrlength() <= 10) and\
cbg._cexpander.binarystring.find("1") == -1:
# discard hardly alignable CBGs
continue
# if here, then append this cbg as a possible novel final CBG
new_last_cbgs.append( cbg )
################################################################
if verbose: print "LEGcbg", cbg
################################################################
########################################################################
if verbose: print stw.lap(), "ECGs converted to CBGs", len(new_last_cbgs)
########################################################################
if not new_last_cbgs:
####################################################################
if verbose: print "no ecgs convertable to CBGs -> return False"
####################################################################
return False
# order by total weight, get the optimal CBG and its corresponding ECG
new_last_cbgs = ordering.order_graphlist_by_total_weight(new_last_cbgs)
theNewLastCbg = None
cbgIF = None
# check all interfaces between the novel final CBGs and the previous
# CBG. The best interface is added to the GSG!
cbgif_accepted_new_last_cbgs = []
already_checked_node_sets = []
for newcbg in new_last_cbgs[0:take_max_best_cbgs]:
lastExonGraph = newcbg._ExonCollectionGraph
del( newcbg._ExonCollectionGraph )
# check if it is not the extention of the current
# last CBG (identical nodes)
if len(last.node_set().symmetric_difference(newcbg.node_set())) == 0:
if verbose: print "newCBG is the extention of current last CBG!!"
continue
# check if this combination of nodes (orfs) has not been tried already
if newcbg.get_ordered_nodes() in already_checked_node_sets:
###############################################################
if verbose:
print "newCBG node set done earlier:",
print newcbg.get_ordered_nodes()
###############################################################
continue
else:
# append this set of nodes (as a list) to checklist
already_checked_node_sets.append( newcbg.get_ordered_nodes() )
# check if this new final tinyexon graph has a compatible interface
# with the current last one
cbgIF = CodingBlockGraphInterface(last,newcbg)
cbgIF.harvest_splice_sites()
distinct_orgs = []
for node in lastExonGraph.get_nodes():
exon = lastExonGraph.get_node_object(node)
if exon.acceptor.__class__.__name__ == 'SpliceAcceptor':
distinct_orgs.append( lastExonGraph.organism_by_node(node) )
cbgIF.allow_intron_in_organisms(distinct_orgs)
cbgIF.find_conserved_splice_sites()
# do NOT optimize -> consumes a lot of time and is helpfull
# only in extreme cases...
#cbgIF.optimize()
if not cbgIF.is_compatible():
################################################################
if verbose:
print "newCBG not a is_compatible() cbgIF"
print newcbg
################################################################
continue
# append to cbgif_accepted_new_last_cbgs
newcbg._CBGinterface5p = cbgIF
cbgif_accepted_new_last_cbgs.append(
(
cbgIF.optimalitycheck().count(True),
newcbg.total_weight(),
newcbg
)
)
########################################################################
if verbose:
print stw.lap(), "cbgIFs checked %s/%s" % (
len(cbgif_accepted_new_last_cbgs),
len(new_last_cbgs[0:take_max_best_cbgs])
)
########################################################################
# now start by adding the highest scoring newcbg first
cbgif_accepted_new_last_cbgs.sort()
cbgif_accepted_new_last_cbgs.reverse()
########################################################################
if verbose:
print "candidate novel final CBGs:", len(cbgif_accepted_new_last_cbgs)
for (true_cnt,totalwt,newcbg) in cbgif_accepted_new_last_cbgs:
print true_cnt,totalwt,newcbg._CBGinterface5p
print newcbg
########################################################################
for (true_cnt,totalwt,newcbg) in cbgif_accepted_new_last_cbgs:
# get the already created cbgIF from the newcbg graph
cbgIF = newcbg._CBGinterface5p
# now check 4 criteria:
# (1) cbgIF.is_optimal() (2) >GTG.identity
# (3) >STG.totalweight (4) <STG.distance
criteria = []
criteria.append( cbgIF.is_optimal() )
criteria.append( newcbg._stopcodongraph.total_weight() > last._stopcodongraph.total_weight() )
criteria.append( newcbg.genetree().identity() > last.genetree().identity() )
criteria.append( newcbg._stopcodongraph.stopcodon2omsrdistance() <= last._stopcodongraph.stopcodon2omsrdistance() )
####################################################################
if verbose:
print "TRYING ADDITION of final newcbg", criteria
print true_cnt,totalwt,newcbg._CBGinterface5p
print newcbg
####################################################################
# check if there is only a single different node/orf changed in the newcbg
# this is recognized by a symmetric_difference of size 2
# in this case, be very strict! This easily causes overprediction (FP) tiny exons
if len(last.node_set().symmetric_difference(newcbg.node_set())) == 2:
# check if 4 criteria are valid;
# a single False results in not accepting this new last tiny cbg
if False in criteria:
if verbose: print "# NOVEL lastTinyExon discarded; single orf extension, criteria", criteria
# continue -> no new tiny CBG
continue
# now start check the criteria.
# if criteria[0] == True, means a fully is_optimal interface!
# do not perform any additional check, just add!
if criteria[0] == True:
theNewLastCbg = newcbg
break
# total weight criterion -> new.tw() > last.tw()
if criteria[1] == False:
##########################################################################
if verbose:
print "# NOVEL lastTinyExon discarded; to low total weight"
print "#", newcbg._stopcodongraph
##########################################################################
# continue -> no new tiny CBG
continue
# identity criterion -> allow a ratio i.s.o. new.id() > last.id()
# this strict criterion (>) is applied for single-new-orf-CBGs
if criteria[2] == False:
ratio = newcbg.genetree().identity() / last.genetree().identity()
if ratio < minimal_last_vs_new_identity_ratio:
######################################################################
if verbose:
print "# NOVEL lastTinyExon discarded; to low identity"
print "#", newcbg._stopcodongraph, newcbg.genetree().identity()
######################################################################
# continue -> no new tiny CBG
continue
if criteria[3] == False:
##########################################################################
if verbose:
print "# NOVEL lastTinyExon discarded; higher stopcodon2omsrdistance"
print "#", newcbg._stopcodongraph
##########################################################################
# continue -> no new tiny CBG
continue
# if this point is reached, a new tiny last CBG has been found!
theNewLastCbg = newcbg
# break out of the for loop; store into the genestructure
break
# all okay -> ready for inserting the new CBG
if theNewLastCbg and verbose:
################################################################################
print "NEW FINAL TINY EXON FOUND!!"
print theNewLastCbg
print cbgIF, cbgIF.is_optimal(), cbgIF.is_acceptable()
print cbgIF._optimal_aligned_donor, cbgIF.donor_phase()
print cbgIF._optimal_aligned_acceptor, cbgIF.acceptor_phase()
################################################################################
# hard-insert into the genestructure
# using add_codingblock is likely to cause problems
# because of the tinyness of the CBG
if theNewLastCbg:
for pos in range(0,len(self)):
if self.codingblockgraphs[pos].IS_IGNORED: continue
if self.codingblockgraphs[pos].IS_LAST:
thelast = self.codingblockgraphs[pos]
thelast.IS_LAST = False
newcbg.IS_LAST = True
self.codingblockgraphs.insert(pos+1,theNewLastCbg)
# set the CBGInterface object in next and prev CBG
self.codingblockgraphs[pos]._CBGinterface3p = cbgIF
self.codingblockgraphs[pos+1]._CBGinterface5p = cbgIF
# break out; end of this function
break
# done! return a True because newcbg is created & inserted
return True
else:
# no newLastCbg found
return False