def add_codingblock(self,
new,
log_debug=False,
only_try_adding=False,
max_cbg_gtg_topo_dif=None,
max_cbg_gtg_abs_dif=None,
min_cbg_gtg_id_ratio=None,
min_tcode_omsr=None,
omit_conditional_addition=False):
"""
(Try to) add a CodingBlockGraph to the genestructure
@type new: CodingBlockGraph
@param new: CodingBlockGraph object to be added to the genestructure
@type only_try_adding: Boolean
@param only_try_adding: only try to add the CBG and return succes status
@type omit_conditional_addition: Boolean
@param omit_conditional_addition: omit all CBG quality checks; just
verify if the CBG is placeable based on the OMSR coordinates
@type max_cbg_gtg_topo_dif: float (or None)
@param max_cbg_gtg_topo_dif:
@type max_cbg_gtg_abs_dif: float (or None)
@param max_cbg_gtg_abs_dif:
@type max_cbg_gtg_id_ratio: float (or None)
@param max_cbg_gtg_id_ratio:
@type min_tcode_omsr: float (or None)
@param min_tcode_omsr:
@rtype: Boolean
@return: True or False, weather or not adding was succesfull
"""
verbose = log_debug # log_debug must be replaced by verbose....
# update edge weights by overall minimal spanning range
if not only_try_adding:
new.update_edge_weights_by_minimal_spanning_range()
# check for difference with GeneTreeGraph
if new.__class__.__name__ == 'CodingBlockGraph' and\
not omit_conditional_addition and\
self.genetree() and len(self) >= 1:
newgtg = new.genetree()
if new.node_count() == self.EXACT_SG_NODE_COUNT:
gtg = self.genetree()
else:
# new to-be-placed graph misses certain organism node(s)
completegtg = self.genetree()
gtg = deepcopy(completegtg)
for missingorg in completegtg.organism_set().difference(
new.organism_set()):
gtg.del_node(missingorg)
# calculate identity, topological and absolute GTG differences
cbg_gtg_topo_dif = gtg.graphalignmentdifference(newgtg)
cbg_gtg_abs_dif = gtg.absolutegraphalignmentdifference(newgtg)
cbg_gtg_id_ratio = newgtg.identity() / gtg.identity()
####################################################################
if verbose: print "cbg2gsg", new
####################################################################
# check the identity ratio
if min_cbg_gtg_id_ratio:
threshold_min_cbg_gtg_id_ratio = MIN_GTG_ID_RATIO_FUNCTION(
min_cbg_gtg_id_ratio, gtg, new)
################################################################
if verbose:
print "CUSTOM", threshold_min_cbg_gtg_id_ratio,
print min_cbg_gtg_id_ratio
################################################################
else:
threshold_min_cbg_gtg_id_ratio = MIN_GTG_ID_RATIO_FUNCTION(
self.MIN_CBG_GTG_ID_RATIO, gtg, new)
################################################################
if verbose:
print "NORMAL", threshold_min_cbg_gtg_id_ratio,
print self.MIN_CBG_GTG_ID_RATIO
################################################################
if cbg_gtg_id_ratio < threshold_min_cbg_gtg_id_ratio:
################################################################
if verbose:
print "rejected on ID ratio", threshold_min_cbg_gtg_id_ratio,
print ">", cbg_gtg_id_ratio
################################################################
return False
else:
pass
# check the relative topological difference
if max_cbg_gtg_topo_dif:
threshold_max_cbg_gtg_topo_dif = MAX_GTG_TOPO_DIF_FUNCTION(
max_cbg_gtg_topo_dif, gtg, new)
################################################################
if verbose:
print "CUSTOM", threshold_max_cbg_gtg_topo_dif,
print max_cbg_gtg_topo_dif, gtg.identity(), new.omsrlength(
)
################################################################
else:
threshold_max_cbg_gtg_topo_dif = MAX_GTG_TOPO_DIF_FUNCTION(
self.MAX_CBG_GTG_TOPO_DIF, gtg, new)
################################################################
if verbose:
print "NORMAL", threshold_max_cbg_gtg_topo_dif,
print self.MAX_CBG_GTG_TOPO_DIF, gtg.identity(
), new.omsrlength()
################################################################
if cbg_gtg_id_ratio >= 1.10:
# ignore TOPO_DIF check when newgtg.id% >> gtg.id%
pass
elif cbg_gtg_topo_dif > threshold_max_cbg_gtg_topo_dif:
################################################################
if verbose:
print "rejected on TOPO_DIF", cbg_gtg_topo_dif,
print ">", threshold_max_cbg_gtg_topo_dif
################################################################
return False
else:
pass
# check the absolute topological difference
if max_cbg_gtg_abs_dif:
threshold_max_cbg_gtg_abs_dif = MAX_GTG_ABS_DIF_FUNCTION(
max_cbg_gtg_abs_dif, gtg, new)
################################################################
if verbose:
print "CUSTOM", threshold_max_cbg_gtg_abs_dif,
print max_cbg_gtg_abs_dif, gtg.identity(), new.omsrlength()
################################################################
else:
threshold_max_cbg_gtg_abs_dif = MAX_GTG_ABS_DIF_FUNCTION(
self.MAX_CBG_GTG_ABS_DIF, gtg, new)
################################################################
if verbose:
print "NORMAL", threshold_max_cbg_gtg_abs_dif,
print self.MAX_CBG_GTG_ABS_DIF
################################################################
if cbg_gtg_id_ratio >= 1.10:
# ignore TOPO_DIF check when newgtg.id% >> gtg.id%
pass
elif cbg_gtg_abs_dif > threshold_max_cbg_gtg_abs_dif:
################################################################
if verbose:
print "rejected on ABS_DIF", threshold_max_cbg_gtg_abs_dif,
print "<", cbg_gtg_abs_dif
################################################################
return False
else:
pass
# check the Tcode score
if min_tcode_omsr > new.msr_tcode_score():
################################################################
if verbose:
print "rejected on MIN_TCODE_OMSR", min_tcode_omsr, ">",
print new.msr_tcode_score()
################################################################
return False
else:
pass
else:
# probably omit_conditional_addition==True
pass
# check if exactly this one is already in the genestructure
if self.is_codingblockgraph_already_in_genestructure(new):
####################################################################
if verbose: print "already in genestructure!!"
####################################################################
return False
# if LowSimilarityRegionCodingBlockGraph, do a OMSR check
if new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
# get the OMSR of the complete GeneStructure
omsrGSG = self.overall_minimal_spanning_range()
for node, omsr in new._omsr.iteritems():
org = new.organism_by_node(node)
if omsrGSG[org].intersection(omsr):
############################################################
if verbose:
print "ALREADY IN GENESTRUCTURE!", "\n", omsr
print omsrGSG[org].intersection(omsr)
############################################################
return False
else:
################################################################
if verbose: print "lsrCBG NOT in genestructure's OMSR"
################################################################
# new lsrCBG! just continue with this function
pass
for pos in range(0, len(self)):
cbg = self.codingblockgraphs[pos]
# do not compare position towards a LowSimilarityRegionCodingBlockGraph
if cbg.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
continue
# get relative positioning data of 2 CBGs
(absPosCbg, absPosNew, binPosCbg, binPosNew, orfIdent, posRel,
posBin) = relatively_positioned_towards(cbg, new)
if verbose:
print "eval cbg pos", pos, "binarytuples:", binPosCbg, binPosNew
# Check the positioning in binaryCbgPositioning
# Required positioning of new codingblock `new` is cbg-->new
if binPosCbg == (1, 0, 0) and binPosNew == (0, 0, 1):
# The order is new-->cbg; continue
continue
elif new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph' and new.node_set(
).difference(cbg.node_set()):
# binPos comparison assumes correct position, but it is not because node intersection
# not all nodes in lsrCBG 'new' are shared in next CBG 'cbg' -> ignore here!
continue
elif new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph' and binPosCbg == (
1, 0, 0) and binPosNew == (0, 0, 0):
# Final check -> is the lsrCBG directly ajacent to the cbg?
# In case a single orf set is split up in several CBGs (and several lsrCBGs),
# insertion can give problems when not verifying the distance
distances = cbg.distance_between_codingblocks(new)
if list(Set(distances.values())) == [0]:
# yes, this is the position where we want to insert
pass
else:
# nope, not the correct, diretly adjacent position
if verbose:
print "# NOT ADDING HERE a lsrCBG????"
print cbg
print new
print distances
# continue to the next cbg position
continue
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
if verbose:
print new, binPosCbg, binPosNew, "inserting on pos %s+1" % pos
# Add into the ordered GeneStructure!
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert(pos + 1, tobeadded)
# succesfull insert; return True
return True
elif binPosCbg == (0, 0, 1) and binPosNew == (1, 0, 0):
# The order is cbg-->new; this is the required location!
if new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
# check if directly neighboring this cbg
distances = cbg.distance_between_codingblocks(new)
print new
print distances
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert(pos, tobeadded)
if verbose:
print "ADDING:", pos, new
print binPosCbg, binPosNew
# succesfull insert; return True
return True
elif binPosCbg == (0, 1, 0) and binPosNew == (0, 1, 0):
# Exactly this codingblock exists already in the genestructure
return False
elif binPosCbg in [(1, 0, 0),
(1, 1, 0)] and binPosNew in [(0, 0, 1),
(0, 1, 1)]:
# Check for: binPosCbg ~= (1,?,0) and binPosNew ~= (0,?,1)
# Some overlap, and the order is new-->cbg
# So, potential accepted new CBG 1 position AFTER this one!
# Check if the overlap is compatible with Orf order
for i in range(0, len(posBin)):
(a1, a2, a3), (b1, b2, b3) = posRel[i]
(Ba1, Ba2, Ba3), (Bb1, Bb2, Bb3) = posBin[i]
identicalorfs = orfIdent[i]
if _is_compatible_overlap((a1, a2, a3), (b1, b2, b3),
(Ba1, Ba2, Ba3), (Bb1, Bb2, Bb3),
identicalorfs):
pass
else:
if verbose:
print "ABOUT TO BREAK THE FORLOOP I:"
print(a1, a2, a3), (b1, b2, b3)
print(Ba1, Ba2, Ba3), (Bb1, Bb2, Bb3)
cbg_overlap_ratio = float(a2) / float(a1 + a2 + a3)
new_overlap_ratio = float(b2) / float(b1 + b2 + b3)
overlap_ratio = max(
[cbg_overlap_ratio, new_overlap_ratio])
print overlap_ratio
# No! incorrect positioning -> break
break
else:
# EOF forloop nicely reached; compatible new codingblock
# The order is cbg-->new; this is the required location!
# check how it is positioned towards the other; NO OVERLAP ALOWED HERE!
if pos < len(self) - 1:
next = self.codingblockgraphs[pos + 1]
(absPosNext, absPosNewNext, binPosNext, binPosNewNext,
orfIdentNext, posRelNext,
posBinNext) = relatively_positioned_towards(
new, next)
# now check binPosNext & binPosNewNext: should be (1, 0, 0) & (0, 0, 1)
# That means -> no overlap with the next CBG
if binPosNext == (1, 0, 0) and binPosNewNext == (0, 0,
1):
# no overlap -> ready to store!
pass
else:
# there is overlap! Do not allow addition of this CBG
###########################################################
if verbose:
print "OVERLAP WITH NEXT CBG!:", pos, new
print binPosNext, binPosNewNext
###########################################################
return False
else:
# no further CBGs in GSG, so no check possible (and no overlap possible ;-)
pass
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert(pos + 1, tobeadded)
if verbose:
print "ADDING:", pos + 1, new
print binPosCbg, binPosNew
# succesfull insert; return True
return True
# forloop broken -> incompatible new codingblock
return False
elif binPosCbg in [(0, 0, 1),
(0, 1, 1)] and binPosNew in [(1, 0, 0),
(1, 1, 0)]:
# Check for: binPosCbg ~= (0,?,1) and binPosNew ~= (1,?,0)
# The order is new-->cbg; this is the required location!
# Check if the overlap is compatible with Orf order
for i in range(0, len(posBin)):
(a1, a2, a3), (b1, b2, b3) = posRel[i]
(Ba1, Ba2, Ba3), (Bb1, Bb2, Bb3) = posBin[i]
identicalorfs = orfIdent[i]
if _is_compatible_overlap((a1, a2, a3), (b1, b2, b3),
(Ba1, Ba2, Ba3), (Bb1, Bb2, Bb3),
identicalorfs):
pass
else:
if verbose:
print "ABOUT TO BREAK THE FORLOOP II:"
print(a1, a2, a3), (b1, b2, b3)
print(Ba1, Ba2, Ba3), (Bb1, Bb2, Bb3)
cbg_overlap_ratio = float(a2) / float(a1 + a2 + a3)
new_overlap_ratio = float(b2) / float(b1 + b2 + b3)
overlap_ratio = max(
[cbg_overlap_ratio, new_overlap_ratio])
print overlap_ratio
# No! incorrect positioning -> break
break
else:
# EOF forloop nicely reached; compatible new codingblock
# The order is new-->cbg; this is the required location!
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert(pos, tobeadded)
# succesfull insert; return True
return True
# forloop broken -> incompatible new codingblock
return False
else:
# A more messy positioning (overlaps/repetitive etc.)
if verbose:
print "WEIRD BINARY SUMMED ORDER!", absPosCbg, absPosNew, binPosCbg, binPosNew
print cbg
for i in range(0, len(posBin)):
print posRel[i], posBin[i], orfIdent[i]
# Reject this new codingblockgrap
return False
else:
# If eof for loop is reached, append to the end
# of current genestructure
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.append(tobeadded)
# check if this is the first added cbg to GeneStructure object
if len(self.codingblockgraphs) == 1:
# cache the genetreegraph object
gtg = self.set_genetree()
# set threshold values as a function of gtg
self.initialize_first_added_cbg()
# succesfull insert; return True
return True
def remove_overlapping_cbgs(self,verbose=False,
ignore_is_optimal_cbgif=True,
ignore_is_compatible_cbgif=False,
cbg_max_alowed_overlap_aa_length=CBG_MAX_ALOWED_GSGREMOVAL_OVERLAP_AA_LENGTH,
cbg_max_alowed_overlap_ratio=CBG_MAX_ALOWED_GSGREMOVAL_OVERLAP_RATIO):
"""
Remove overlapping CBGs in the GSG
@type ignore_is_optimal_cbgif: Boolean
@param ignore_is_optimal_cbgif: if True, leave is_optimal() cbgIFs intact
@type ignore_is_compatible_cbgif: Boolean
@param ignore_is_compatible_cbgif: if True, leave is_compatible() cbgIFs intact
@type cbg_max_alowed_aa_length: integer
@param cbg_max_alowed_aa_length: maximal overlap between CBGs in AA's
@type cbg_max_alowed_overlap_ratio: float
@param cbg_max_alowed_overlap_ratio: ratio between overlap and omsr (AA)
@type verbose: Boolean
@param verbose: print status/debugging messages to STDOUT
@rtype: Integer
@return: Number of CBGs that are removed from the GSG
"""
removed = True
removed_cnt = 0
while removed:
removed = False
for pos in range(1,len(self)):
# get concerned CBGs
(cbg1,cbg2) = self.codingblockgraphs[pos-1:pos+1]
if cbg1.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
continue
if cbg2.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
continue
prevCBG = None
nextCBG = None
if pos-2 >= 0:
prevCBG = self.codingblockgraphs[pos-2]
if pos+1 < len(self):
nextCBG = self.codingblockgraphs[pos+1]
# check cbgIF between these CBGs
if cbg1._CBGinterface3p:
if ignore_is_optimal_cbgif and\
cbg1._CBGinterface3p.is_optimal():
continue
if ignore_is_compatible_cbgif and\
cbg1._CBGinterface3p.is_compatible():
print "COMPATBLE!!!"
continue
# get overlap data between these 2 CBGs
( absPosCbg1, absPosCbg2,
binPosCbg1, binPosCbg2, orfIdent,
posRel, posBin ) = codingblock_ordering.relatively_positioned_towards(cbg1,cbg2)
# evaluate the overlap data
if binPosCbg1 != (1, 0, 0) or binPosCbg2 != (0, 0, 1):
distances = cbg1.distance_between_codingblocks(cbg2)
overlaps = [ min([0,value]) for value in distances.values() ]
# remove all non-overlaps
while 0 in overlaps: overlaps.remove(0)
# now sum them and calculate an average
summed = abs(sum(overlaps))
if summed: average = float(summed) / len(overlaps)
else: average = 0.0
############################################################
#if verbose:
# print cbg1
# print cbg2
# print pos-1, pos+1,
# print absPosCbg1, absPosCbg2,
# print binPosCbg1, binPosCbg2
# print distances, summed, average,
# print cbg1.total_weight(), cbg2.total_weight()
############################################################
# check if the overlap ratio is not to large
ratioCbg1 = ( average / cbg1.omsrlength() ) > cbg_max_alowed_overlap_ratio
ratioCbg2 = ( average / cbg2.omsrlength() ) > cbg_max_alowed_overlap_ratio
remove_pos = None
if average > cbg_max_alowed_overlap_aa_length and ratioCbg1 and ratioCbg2:
# hmmm both have a high overlap ratio -> remove the lowest scoring
if cbg1.total_weight() < cbg2.total_weight():
remove_pos = pos-1
else:
remove_pos = pos
elif average > cbg_max_alowed_overlap_aa_length and ratioCbg1:
remove_pos = pos-1
elif average > cbg_max_alowed_overlap_aa_length and ratioCbg2:
remove_pos = pos
elif ratioCbg1 and ratioCbg2:
# hmmm both have a high overlap ratio -> remove the lowest scoring
if cbg1.total_weight() < cbg2.total_weight():
remove_pos = pos-1
else:
remove_pos = pos
elif ratioCbg1:
remove_pos = pos-1
elif ratioCbg2:
remove_pos = pos
else:
# omit removal!
pass
if remove_pos != None:
# final check: if node_count() not identical ->
# then remove the one that has lowest number of nodes!
if cbg1.node_count() > cbg2.node_count():
remove_pos = pos
elif cbg1.node_count() < cbg2.node_count():
remove_pos = pos-1
else:
# identical node_count -> stick to the oppointed one!
pass
# get positional pointer to CBG with which the to-be-deleted
# CBG is overlapping with (for verbose logginf)
if remove_pos == pos:
overlapping_cbg_pos = pos-1
theCBGif = cbg2._CBGinterface5p
# final check: does to-be-deleted CBG
# fill a gap in the genestructure scaffold?
if _is_intermediate_overlapping_cbg_a_gsg_scaffold_enrichment(
self,cbg1,cbg2,nextCBG):
# this is a perfect example of a scaffold enrichment,
# caused by a small exon in >= 1 genes, compared to
# continious exons in >= 1 other genes.
#######################################
if verbose:
print "SCAFFOLD ENRICHMENT"
print cbg1
print cbg2
print nextCBG,"NEXT"
#######################################
continue
else:
overlapping_cbg_pos = remove_pos
theCBGif = cbg1._CBGinterface3p
# final check: does to-be-deleted CBG
# fill a gap in the genestructure scaffold?
if _is_intermediate_overlapping_cbg_a_gsg_scaffold_enrichment(
self,prevCBG,cbg1,cbg2):
# this is a perfect example of a scaffold enrichment,
# caused by a small exon in >= 1 genes, compared to
# continious exons in >= 1 other genes.
#######################################
if verbose:
print "SCAFFOLD ENRICHMENT"
print prevCBG,"PREV"
print cbg1
print cbg2
#######################################
continue
# remove this codingblock!
deletedCBG = self.remove_cbg_by_pos(remove_pos)
############################################################
if verbose:
print "REMOVED!", pos, overlapping_cbg_pos, remove_pos
print deletedCBG
deletedCBG.printmultiplealignment()
for (key,n1,n2),pacbp in deletedCBG.pacbps.iteritems():
print pacbp,n1,n2
print "IN VIOLENCE WITH:"
print self.codingblockgraphs[overlapping_cbg_pos]
self.codingblockgraphs[overlapping_cbg_pos].printmultiplealignment()
for (key,n1,n2),pacbp in\
self.codingblockgraphs[overlapping_cbg_pos].pacbps.iteritems():
print pacbp,n1,n2
if theCBGif:
print "INTERFACE"
print theCBGif
print theCBGif._interface_is_intron
############################################################
# set removed variable to True for the next iteration!
removed = True
removed_cnt += 1
break
else:
pass
############################################################
#if verbose: print "overlap oke...."
############################################################
# return the number of removed CBGs from the GSG
return removed_cnt
def add_codingblock(self,new,log_debug=False,only_try_adding=False,
max_cbg_gtg_topo_dif=None,
max_cbg_gtg_abs_dif=None,
min_cbg_gtg_id_ratio=None,
min_tcode_omsr=None,
omit_conditional_addition=False ):
"""
(Try to) add a CodingBlockGraph to the genestructure
@type new: CodingBlockGraph
@param new: CodingBlockGraph object to be added to the genestructure
@type only_try_adding: Boolean
@param only_try_adding: only try to add the CBG and return succes status
@type omit_conditional_addition: Boolean
@param omit_conditional_addition: omit all CBG quality checks; just
verify if the CBG is placeable based on the OMSR coordinates
@type max_cbg_gtg_topo_dif: float (or None)
@param max_cbg_gtg_topo_dif:
@type max_cbg_gtg_abs_dif: float (or None)
@param max_cbg_gtg_abs_dif:
@type max_cbg_gtg_id_ratio: float (or None)
@param max_cbg_gtg_id_ratio:
@type min_tcode_omsr: float (or None)
@param min_tcode_omsr:
@rtype: Boolean
@return: True or False, weather or not adding was succesfull
"""
verbose = log_debug # log_debug must be replaced by verbose....
# update edge weights by overall minimal spanning range
if not only_try_adding:
new.update_edge_weights_by_minimal_spanning_range()
# check for difference with GeneTreeGraph
if new.__class__.__name__ == 'CodingBlockGraph' and\
not omit_conditional_addition and\
self.genetree() and len(self) >= 1:
newgtg = new.genetree()
if new.node_count() == self.EXACT_SG_NODE_COUNT:
gtg = self.genetree()
else:
# new to-be-placed graph misses certain organism node(s)
completegtg = self.genetree()
gtg = deepcopy(completegtg)
for missingorg in completegtg.organism_set().difference(new.organism_set()):
gtg.del_node(missingorg)
# calculate identity, topological and absolute GTG differences
cbg_gtg_topo_dif = gtg.graphalignmentdifference( newgtg )
cbg_gtg_abs_dif = gtg.absolutegraphalignmentdifference( newgtg )
cbg_gtg_id_ratio = newgtg.identity() / gtg.identity()
####################################################################
if verbose: print "cbg2gsg", new
####################################################################
# check the identity ratio
if min_cbg_gtg_id_ratio:
threshold_min_cbg_gtg_id_ratio = MIN_GTG_ID_RATIO_FUNCTION(min_cbg_gtg_id_ratio,gtg,new)
################################################################
if verbose:
print "CUSTOM", threshold_min_cbg_gtg_id_ratio,
print min_cbg_gtg_id_ratio
################################################################
else:
threshold_min_cbg_gtg_id_ratio = MIN_GTG_ID_RATIO_FUNCTION(self.MIN_CBG_GTG_ID_RATIO,gtg,new)
################################################################
if verbose:
print "NORMAL", threshold_min_cbg_gtg_id_ratio,
print self.MIN_CBG_GTG_ID_RATIO
################################################################
if cbg_gtg_id_ratio < threshold_min_cbg_gtg_id_ratio:
################################################################
if verbose:
print "rejected on ID ratio", threshold_min_cbg_gtg_id_ratio,
print ">", cbg_gtg_id_ratio
################################################################
return False
else:
pass
# check the relative topological difference
if max_cbg_gtg_topo_dif:
threshold_max_cbg_gtg_topo_dif = MAX_GTG_TOPO_DIF_FUNCTION(max_cbg_gtg_topo_dif,gtg,new)
################################################################
if verbose:
print "CUSTOM", threshold_max_cbg_gtg_topo_dif,
print max_cbg_gtg_topo_dif, gtg.identity(), new.omsrlength()
################################################################
else:
threshold_max_cbg_gtg_topo_dif = MAX_GTG_TOPO_DIF_FUNCTION(self.MAX_CBG_GTG_TOPO_DIF,gtg,new)
################################################################
if verbose:
print "NORMAL", threshold_max_cbg_gtg_topo_dif,
print self.MAX_CBG_GTG_TOPO_DIF, gtg.identity(), new.omsrlength()
################################################################
if cbg_gtg_id_ratio >= 1.10:
# ignore TOPO_DIF check when newgtg.id% >> gtg.id%
pass
elif cbg_gtg_topo_dif > threshold_max_cbg_gtg_topo_dif:
################################################################
if verbose:
print "rejected on TOPO_DIF", cbg_gtg_topo_dif,
print ">", threshold_max_cbg_gtg_topo_dif
################################################################
return False
else:
pass
# check the absolute topological difference
if max_cbg_gtg_abs_dif:
threshold_max_cbg_gtg_abs_dif = MAX_GTG_ABS_DIF_FUNCTION(max_cbg_gtg_abs_dif,gtg,new)
################################################################
if verbose:
print "CUSTOM", threshold_max_cbg_gtg_abs_dif,
print max_cbg_gtg_abs_dif, gtg.identity(), new.omsrlength()
################################################################
else:
threshold_max_cbg_gtg_abs_dif = MAX_GTG_ABS_DIF_FUNCTION(self.MAX_CBG_GTG_ABS_DIF,gtg,new)
################################################################
if verbose:
print "NORMAL", threshold_max_cbg_gtg_abs_dif,
print self.MAX_CBG_GTG_ABS_DIF
################################################################
if cbg_gtg_id_ratio >= 1.10:
# ignore TOPO_DIF check when newgtg.id% >> gtg.id%
pass
elif cbg_gtg_abs_dif > threshold_max_cbg_gtg_abs_dif:
################################################################
if verbose:
print "rejected on ABS_DIF", threshold_max_cbg_gtg_abs_dif,
print "<", cbg_gtg_abs_dif
################################################################
return False
else:
pass
# check the Tcode score
if min_tcode_omsr > new.msr_tcode_score():
################################################################
if verbose:
print "rejected on MIN_TCODE_OMSR", min_tcode_omsr, ">",
print new.msr_tcode_score()
################################################################
return False
else:
pass
else:
# probably omit_conditional_addition==True
pass
# check if exactly this one is already in the genestructure
if self.is_codingblockgraph_already_in_genestructure(new):
####################################################################
if verbose: print "already in genestructure!!"
####################################################################
return False
# if LowSimilarityRegionCodingBlockGraph, do a OMSR check
if new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
# get the OMSR of the complete GeneStructure
omsrGSG = self.overall_minimal_spanning_range()
for node,omsr in new._omsr.iteritems():
org = new.organism_by_node(node)
if omsrGSG[org].intersection(omsr):
############################################################
if verbose:
print "ALREADY IN GENESTRUCTURE!", "\n", omsr
print omsrGSG[org].intersection(omsr)
############################################################
return False
else:
################################################################
if verbose: print "lsrCBG NOT in genestructure's OMSR"
################################################################
# new lsrCBG! just continue with this function
pass
for pos in range(0,len(self)):
cbg = self.codingblockgraphs[pos]
# do not compare position towards a LowSimilarityRegionCodingBlockGraph
if cbg.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
continue
# get relative positioning data of 2 CBGs
( absPosCbg, absPosNew, binPosCbg, binPosNew, orfIdent, posRel, posBin) = relatively_positioned_towards(cbg,new)
if verbose: print "eval cbg pos", pos, "binarytuples:", binPosCbg, binPosNew
# Check the positioning in binaryCbgPositioning
# Required positioning of new codingblock `new` is cbg-->new
if binPosCbg == (1,0,0) and binPosNew == (0,0,1):
# The order is new-->cbg; continue
continue
elif new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph' and new.node_set().difference(cbg.node_set()):
# binPos comparison assumes correct position, but it is not because node intersection
# not all nodes in lsrCBG 'new' are shared in next CBG 'cbg' -> ignore here!
continue
elif new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph' and binPosCbg == (1,0,0) and binPosNew == (0,0,0):
# Final check -> is the lsrCBG directly ajacent to the cbg?
# In case a single orf set is split up in several CBGs (and several lsrCBGs),
# insertion can give problems when not verifying the distance
distances = cbg.distance_between_codingblocks(new)
if list(Set(distances.values())) == [0]:
# yes, this is the position where we want to insert
pass
else:
# nope, not the correct, diretly adjacent position
if verbose:
print "# NOT ADDING HERE a lsrCBG????"
print cbg
print new
print distances
# continue to the next cbg position
continue
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
if verbose:
print new, binPosCbg, binPosNew, "inserting on pos %s+1" % pos
# Add into the ordered GeneStructure!
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert( pos+1, tobeadded )
# succesfull insert; return True
return True
elif binPosCbg == (0,0,1) and binPosNew == (1,0,0):
# The order is cbg-->new; this is the required location!
if new.__class__.__name__ == 'LowSimilarityRegionCodingBlockGraph':
# check if directly neighboring this cbg
distances = cbg.distance_between_codingblocks(new)
print new
print distances
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert( pos, tobeadded )
if verbose:
print "ADDING:", pos, new
print binPosCbg, binPosNew
# succesfull insert; return True
return True
elif binPosCbg == (0,1,0) and binPosNew == (0,1,0):
# Exactly this codingblock exists already in the genestructure
return False
elif binPosCbg in [(1,0,0),(1,1,0)] and binPosNew in [(0,0,1),(0,1,1)]:
# Check for: binPosCbg ~= (1,?,0) and binPosNew ~= (0,?,1)
# Some overlap, and the order is new-->cbg
# So, potential accepted new CBG 1 position AFTER this one!
# Check if the overlap is compatible with Orf order
for i in range(0,len(posBin)):
(a1,a2,a3), (b1,b2,b3) = posRel[i]
(Ba1,Ba2,Ba3), (Bb1,Bb2,Bb3) = posBin[i]
identicalorfs = orfIdent[i]
if _is_compatible_overlap( (a1,a2,a3), (b1,b2,b3), (Ba1,Ba2,Ba3), (Bb1,Bb2,Bb3), identicalorfs ):
pass
else:
if verbose:
print "ABOUT TO BREAK THE FORLOOP I:"
print (a1,a2,a3), (b1,b2,b3)
print (Ba1,Ba2,Ba3), (Bb1,Bb2,Bb3)
cbg_overlap_ratio = float(a2) / float(a1+a2+a3)
new_overlap_ratio = float(b2) / float(b1+b2+b3)
overlap_ratio = max([cbg_overlap_ratio, new_overlap_ratio])
print overlap_ratio
# No! incorrect positioning -> break
break
else:
# EOF forloop nicely reached; compatible new codingblock
# The order is cbg-->new; this is the required location!
# check how it is positioned towards the other; NO OVERLAP ALOWED HERE!
if pos < len(self)-1:
next = self.codingblockgraphs[pos+1]
( absPosNext, absPosNewNext, binPosNext, binPosNewNext,
orfIdentNext, posRelNext, posBinNext ) = relatively_positioned_towards(new,next)
# now check binPosNext & binPosNewNext: should be (1, 0, 0) & (0, 0, 1)
# That means -> no overlap with the next CBG
if binPosNext == (1, 0, 0) and binPosNewNext == (0, 0, 1):
# no overlap -> ready to store!
pass
else:
# there is overlap! Do not allow addition of this CBG
###########################################################
if verbose:
print "OVERLAP WITH NEXT CBG!:", pos, new
print binPosNext, binPosNewNext
###########################################################
return False
else:
# no further CBGs in GSG, so no check possible (and no overlap possible ;-)
pass
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert( pos+1, tobeadded )
if verbose:
print "ADDING:", pos+1, new
print binPosCbg, binPosNew
# succesfull insert; return True
return True
# forloop broken -> incompatible new codingblock
return False
elif binPosCbg in [(0,0,1),(0,1,1)] and binPosNew in [(1,0,0),(1,1,0)]:
# Check for: binPosCbg ~= (0,?,1) and binPosNew ~= (1,?,0)
# The order is new-->cbg; this is the required location!
# Check if the overlap is compatible with Orf order
for i in range(0,len(posBin)):
(a1,a2,a3), (b1,b2,b3) = posRel[i]
(Ba1,Ba2,Ba3), (Bb1,Bb2,Bb3) = posBin[i]
identicalorfs = orfIdent[i]
if _is_compatible_overlap( (a1,a2,a3), (b1,b2,b3), (Ba1,Ba2,Ba3), (Bb1,Bb2,Bb3), identicalorfs ):
pass
else:
if verbose:
print "ABOUT TO BREAK THE FORLOOP II:"
print (a1,a2,a3), (b1,b2,b3)
print (Ba1,Ba2,Ba3), (Bb1,Bb2,Bb3)
cbg_overlap_ratio = float(a2) / float(a1+a2+a3)
new_overlap_ratio = float(b2) / float(b1+b2+b3)
overlap_ratio = max([cbg_overlap_ratio, new_overlap_ratio])
print overlap_ratio
# No! incorrect positioning -> break
break
else:
# EOF forloop nicely reached; compatible new codingblock
# The order is new-->cbg; this is the required location!
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.insert( pos, tobeadded )
# succesfull insert; return True
return True
# forloop broken -> incompatible new codingblock
return False
else:
# A more messy positioning (overlaps/repetitive etc.)
if verbose:
print "WEIRD BINARY SUMMED ORDER!", absPosCbg, absPosNew, binPosCbg, binPosNew
print cbg
for i in range(0,len(posBin)):
print posRel[i], posBin[i], orfIdent[i]
# Reject this new codingblockgrap
return False
else:
# If eof for loop is reached, append to the end
# of current genestructure
# if only_try_adding, return a succesfull True!
if only_try_adding: return True
# Make deepcopy of this CBG in orde to prevent abnormalities
# when splitting/merging in lateron function
#tobeadded = deepcopy(new)
tobeadded = new
tobeadded.create_cache()
self.codingblockgraphs.append( tobeadded )
# check if this is the first added cbg to GeneStructure object
if len(self.codingblockgraphs) == 1:
# cache the genetreegraph object
gtg = self.set_genetree()
# set threshold values as a function of gtg
self.initialize_first_added_cbg()
# succesfull insert; return True
return True