def __init__(self, consensus, score, bin_pair_group, jct_ind, took_reverse_compliment, constants_dict):
"""
Goal: Initialization function of junction
Arguments:
consensus -- str
score -- float
bin_pair_group -- list[bin_pair]
took_reverse_coompliment -- bool
constants_dict -- dict[str->multiple types]
Returns:
nothing
"""
# Read in arguments
self.consensus = consensus
self.score = score
self.bin_pair_group = bin_pair_group
self.jct_ind = jct_ind
self.took_reverse_compliment = took_reverse_compliment
self.constants_dict = constants_dict
# Find chromosome, bin_pair and strand info from the first mapped read
rep_bin_pair = self.bin_pair_group[0]
self.bin_pair = rep_bin_pair.bin_pair
self.donor_sam = SAMEntry()
self.acceptor_sam = SAMEntry()
def __init__(self,consensus,score,bin_pair_group,jct_ind,took_reverse_compliment,constants_dict):
"""
Goal: Initialization function of junction
Arguments:
consensus -- str
score -- float
bin_pair_group -- list[bin_pair]
took_reverse_coompliment -- bool
constants_dict -- dict[str->multiple types]
Returns:
nothing
"""
#Read in arguments
self.consensus = consensus
self.score = score
self.bin_pair_group = bin_pair_group
self.jct_ind = jct_ind
self.took_reverse_compliment = took_reverse_compliment
self.constants_dict = constants_dict
self.mapq = 0
self.badfj3 = False
#Find chromosome, bin_pair and strand info from the first mapped read
rep_bin_pair = self.bin_pair_group[0]
self.bin_pair = rep_bin_pair.bin_pair
self.donor_sam = SAMEntry()
self.acceptor_sam = SAMEntry()
#Get some information for the donor sam from the five_prime sam of the bin pair
self.donor_sam.chromosome = rep_bin_pair.five_prime_chr
self.donor_sam.start = rep_bin_pair.five_prime_SAM.start
self.donor_sam.stop = rep_bin_pair.five_prime_SAM.stop
#Get some information for the acceptor sam from the three_prime sam of the bin pair
self.acceptor_sam.chromosome = rep_bin_pair.three_prime_chr
self.acceptor_sam.start = rep_bin_pair.three_prime_SAM.start
self.acceptor_sam.stop = rep_bin_pair.three_prime_SAM.stop
def __init__(self, consensus, score, bin_pair_group, jct_ind,
took_reverse_compliment, constants_dict):
"""
Goal: Initialization function of junction
Arguments:
consensus -- str
score -- float
bin_pair_group -- list[bin_pair]
took_reverse_coompliment -- bool
constants_dict -- dict[str->multiple types]
Returns:
nothing
"""
#Read in arguments
self.consensus = consensus
self.score = score
self.bin_pair_group = bin_pair_group
self.jct_ind = jct_ind
self.took_reverse_compliment = took_reverse_compliment
self.constants_dict = constants_dict
self.mapq = 0
#Find chromosome, bin_pair and strand info from the first mapped read
rep_bin_pair = self.bin_pair_group[0]
self.bin_pair = rep_bin_pair.bin_pair
self.donor_sam = SAMEntry()
self.acceptor_sam = SAMEntry()
#Get some information for the donor sam from the five_prime sam of the bin pair
self.donor_sam.chromosome = rep_bin_pair.five_prime_chr
self.donor_sam.start = rep_bin_pair.five_prime_SAM.start
self.donor_sam.stop = rep_bin_pair.five_prime_SAM.stop
#Get some information for the acceptor sam from the three_prime sam of the bin pair
self.acceptor_sam.chromosome = rep_bin_pair.three_prime_chr
self.acceptor_sam.start = rep_bin_pair.three_prime_SAM.start
self.acceptor_sam.stop = rep_bin_pair.three_prime_SAM.stop
gtfs = generate_gtfs(gtf_path)
if use_prior and os.path.isfile(junction_fasta_name):
write_time("Using prior jcts: " + junction_fasta_name, time.time(),
timer_file_path)
else:
# Store all five prime mappings by base_read_id (read_id w/out 5_prime or 3_prime)
# There should not be two identical base_read_id's
id_to_sam_dict = {}
with open(five_prime_mapped_name, "r") as five_prime_mapped:
sam_line = five_prime_mapped.readline()
while sam_line and "@" == sam_line[0]: #Read past the header lines
sam_line = five_prime_mapped.readline()
while sam_line:
sam_entry = SAMEntry(sam_line)
base_read_id = sam_entry.read_id.replace("/5_prime", "")
if base_read_id in id_to_sam_dict:
sys.stderr.write(
"SPORK ERROR: Found duplicate base_read_id in 5_prime mappings\n"
)
sys.stderr.write(base_read_id + "\n")
sys.exit(1)
# Filter out some of the strange chromosomes: (e.g. chrUn_gl000220)
if "_" not in sam_entry.chromosome:
id_to_sam_dict[base_read_id] = sam_entry
sam_line = five_prime_mapped.readline()
# Now walk through the three prime mappings creating bin pairs from all shared ids
bin_pairs = []
with open(three_prime_mapped_name, "r") as three_prime_mapped:
class Junction(object):
__slots__ = [
"consensus",
"score",
"bin_pair",
"bin_pair_group",
"took_reverse_compliment",
"constants_dict",
"donor_sam",
"acceptor_sam",
"jct_ind",
]
def __init__(self, consensus, score, bin_pair_group, jct_ind, took_reverse_compliment, constants_dict):
"""
Goal: Initialization function of junction
Arguments:
consensus -- str
score -- float
bin_pair_group -- list[bin_pair]
took_reverse_coompliment -- bool
constants_dict -- dict[str->multiple types]
Returns:
nothing
"""
# Read in arguments
self.consensus = consensus
self.score = score
self.bin_pair_group = bin_pair_group
self.jct_ind = jct_ind
self.took_reverse_compliment = took_reverse_compliment
self.constants_dict = constants_dict
# Find chromosome, bin_pair and strand info from the first mapped read
rep_bin_pair = self.bin_pair_group[0]
self.bin_pair = rep_bin_pair.bin_pair
self.donor_sam = SAMEntry()
self.acceptor_sam = SAMEntry()
# Use the sam's to find the splice index in reference to the concensus
def splice_ind(self):
"""
Goal: Get the splice site in consensus coordinates [0,len(consensus)-1]
Arguments:
none
Returns:
the 3' edge of the donor sequence if both sams are defined
otherwise returns the middle index of the consensus as a guess
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
# NOTE currently doesn't handle gaps well (just returns the donor side index of gap)
return len(self.donor_sam.seq)
else:
return len(self.consensus) / 2
# Use the sam's again to find the size of the gap between the two pieces
def splice_gap(self):
"""
Goal: Find the distance between the donor and acceptor splice sites
in consensus coordinates [0,len(consensus)-1]
Arguments:
none
Returns:
the distance between the 3' end of the donor and 5' end of the acceptor
if one or both of the sam's are undefined return -1
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
donor_pos = self.consensus.index(self.donor_sam.seq) + len(self.donor_sam.seq)
acceptor_pos = self.consensus.index(self.acceptor_sam.seq)
return donor_pos - acceptor_pos
else:
return None
# Use the sam's again to find the size of the gap between the two pieces
def span(self):
"""
Goal: find the genomic span between the sams
Arguments:
none
Returns:
if both exist subtract the donor and acceptor sites
this distance will always be positive
if one or both don't exist just return -1
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
span = self.donor_sam.donor() - self.acceptor_sam.acceptor()
return abs(span)
else:
return -1
# Give a name to the splice type for this junction
def splice_type(self):
"""
Goal: get the type of splice this junction represents
Arguments:
none
Returns:
"Full" if both sams exist and have zero gaps in the split
"Gapped" if both sams exist but there is space in the middle
"Five_Only" if only the donor sam exists
"Three_Only" if only the acceptor sam exists
"None" if niether sam exists
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
if self.splice_gap() == 0:
return "Full"
else:
return "Gapped"
elif self.donor_sam.exists:
return "Five_Only"
elif self.acceptor_sam.exists:
return "Three_Only"
else:
return "None"
# Check to see if this jct represents a fusion
def get_fusion_type(self, span_cutoff=1e6):
"""
Goal: check if this junction represents a fusion
Arguments:
none
Returns:
bool of whether or not the donor and acceptor have different genes
if one or more don't exists then return False
"""
anonat = "" # Can be 'bot', 'donor', 'acceptor', or 'none'
chroms = "" # Can be 'interchrom', 'distant-intrachrom', or 'local-intrachrom'
strand = "" # Can be 'inversion', 'plus', or 'minus'
revreg = "" # Can be 'rev', 'reg', or 'invert'
# Get the anonat type
if self.at_boundary("donor") and self.at_boundary("acceptor"):
anonat = "both"
elif self.at_boundary("donor"):
anonat = "donor"
elif self.at_boundary("acceptor"):
anonat = "acceptor"
else:
anonat = "niether"
# Get the chromosomes type
if self.donor_sam.chromosome != self.acceptor_sam.chromosome:
chroms = "interchrom"
elif self.span() >= span_cutoff:
chroms = "distant-intrachrom"
else:
chroms = "local-intrachrom"
# Get the strand type
if self.donor_sam.strand != self.acceptor_sam.strand:
strand = "inversion"
elif self.donor_sam.strand == "+":
strand = "plus"
elif self.donor_sam.strand == "-":
strand = "minus"
# Get the revreg type
if strand == "inversion":
revreg = "invert"
elif self.donor_sam.donor < self.acceptor_sam.acceptor and self.donor_sam.strand == "+":
revreg = "reg"
elif self.donor_sam.donor > self.acceptor_sam.acceptor and self.donor_sam.strand == "-":
revreg = "reg"
else:
revreg = "rev"
# Should this be considered a fusion?
fusion = "no_fusion"
if anonat == "both":
if self.splice_gap() != None and abs(self.splice_gap()) <= self.constants_dict["fusion_max_gap"]:
if chroms != "local-intrachrom":
fusion = "fusion"
# Concatenate them into one string
fusion_type = fusion + "-" + anonat + "_" + chroms + "_" + strand + "_" + revreg
return fusion_type
# Get distance to closest splice boundary
def boundary_dist(self, splice_site, bowtie_style=True):
"""
Goal: get the distance of the specified splice site from the closest exon
Arguments:
splice_site which is a string and can be either "donor" or "acceptor"
bowtie_style is an optional boolean argument
if True (default), then if a donor/acceptor falls to the 'right' of the gtf-site,
regardless of strand, it will be a positive distance
if False, then the strand does matter, and being 5' of gtf is negative and 3' is positive
Returns:
the distance to the closest gtf of the specified splice_site
the distance being positive or negative means different things based on the bowtie_style parameter
explained above
"""
# If donor distance is requested
if splice_site == "donor" and self.donor_sam.gtf:
donor_dist = 0
if not bowtie_style:
if self.donor_sam.strand == "+":
donor_dist = self.donor_sam.donor() - self.donor_sam.gtf.donor
elif self.donor_sam.strand == "-":
donor_dist = self.donor_sam.gtf.donor - self.donor_sam.donor()
else:
sys.stderr.write("SPORK ERROR: in Junction boundary dist, incorrect strand option \n")
sys.exit(1)
elif bowtie_style:
donor_dist = self.donor_sam.donor() - self.donor_sam.gtf.donor
return donor_dist
# If acceptor distance is requested
elif splice_site == "acceptor" and self.acceptor_sam.gtf:
acceptor_dist = 0
if not bowtie_style:
if self.acceptor_sam.strand == "+":
acceptor_dist = self.acceptor_sam.acceptor() - self.acceptor_sam.gtf.acceptor
elif self.acceptor_sam.strand == "-":
acceptor_dist = self.acceptor_sam.gtf.acceptor - self.acceptor_sam.acceptor()
else:
sys.stderr.write("SPORK ERROR: in Junction boundary dist, incorrect strand option \n")
sys.exit(1)
elif bowtie_style:
acceptor_dist = self.acceptor_sam.acceptor() - self.acceptor_sam.gtf.acceptor
return acceptor_dist
# If a different string was passed in or the specified gtf doesn't exist
else:
sys.stderr.write("SPORK ERROR: in Junction boundary dist, incorrect str or gtf doesn't exist\n")
sys.exit(1)
# Return whether or not an donor and acceptor is at a boundary
def at_boundary(self, splice_site):
"""
Goal: check to see if the specified sam is at an exon boundary
Arguments:
splice_site of type string. should be "donor" or "acceptor"
to specify which sam to check
radius is optional and signifies the maximum distance from
an exon boundary to consider a sam. Default is 3
Returns:
a boolean of whether or not the specified sam is within
'radius' distance of any exon boundary
"""
dist = self.boundary_dist(splice_site)
if abs(dist) <= self.constants_dict["at_boundary_cutoff"]:
return True
else:
return False
# Returns whether or not this junction is linear
def linear(self):
"""
Goal: check to see if this junction in linear
Arguments:
none
Returns:
a boolean of whether the junction is linear or not
"""
five_prime_bin, three_prime_bin, strand_info = self.bin_pair.split("_")
five_prime_chr = five_prime_bin.split(":")[0]
five_prime_bin = five_prime_bin.split(":")[1]
three_prime_chr = three_prime_bin.split(":")[0]
three_prime_bin = three_prime_bin.split(":")[1]
linear = True if int(five_prime_bin) <= int(three_prime_bin) else False
linear = not linear if self.took_reverse_compliment else linear
return linear
# Returns this junction and a reverse compliment of this junction
# to facilitate finding the gtf's of each and seeing which form is better
def yield_forward_and_reverse(self):
"""
Goal: return a copy of self and a reverse compliment of self
Arguments:
none
Returns:
a tuple of Junction where the first entry is self and the
second is a reverse compliment of self
"""
# sys.stdout.write("Before copy in yield_forward_and_reverse\n")
rev_self = Junction(
self.consensus,
self.score,
self.bin_pair_group,
self.jct_ind,
self.took_reverse_compliment,
self.constants_dict,
)
# rev_self = copy.deepcopy(self)
# sys.stdout.write("After copy in yield_forward_and_reverse\n")
rev_self.took_reverse_compliment = not rev_self.took_reverse_compliment
comp = {"A": "T", "a": "t", "T": "A", "t": "a", "G": "C", "g": "c", "C": "G", "c": "g", "N": "N", "n": "n"}
# Take the reverse compliments of the seqs and switch them between donor and acceptor
rev_self.consensus = "".join([comp[base] for base in self.consensus])[::-1]
rev_self.donor_sam.seq = "".join([comp[base] for base in self.donor_sam.seq])[::-1]
rev_self.acceptor_sam.seq = "".join([comp[base] for base in self.acceptor_sam.seq])[::-1]
rev_self.donor_sam.seq, rev_self.acceptor_sam.seq = rev_self.acceptor_sam.seq, rev_self.donor_sam.seq
# Flip the strands of both SAMs
# NOTE only switch the strands if both are + or -, don't do it otherwise
# Interesting that it works this way, but I drew it out and I'm confident
rev_self.donor_sam.strand = self.donor_sam.strand
rev_self.acceptor_sam.strand = self.acceptor_sam.strand
if rev_self.donor_sam.strand == rev_self.acceptor_sam.strand:
rev_self.donor_sam.strand = "-" if rev_self.donor_sam.strand == "+" else "+"
rev_self.acceptor_sam.strand = "-" if rev_self.acceptor_sam.strand == "+" else "+"
# Trade starts and stops of donor and acceptor and chromosome
rev_self.donor_sam.start, rev_self.acceptor_sam.start = self.acceptor_sam.start, self.donor_sam.start
rev_self.donor_sam.stop, rev_self.acceptor_sam.stop = self.acceptor_sam.stop, self.donor_sam.stop
rev_self.donor_sam.chromosome, rev_self.acceptor_sam.chromosome = (
self.acceptor_sam.chromosome,
self.donor_sam.chromosome,
)
rev_self.donor_sam.exists = True
rev_self.acceptor_sam.exists = True
return self, rev_self
# Returns this junction and a reverse compliment of this junction
# to facilitate finding the gtf's of each and seeing which form is better
def yield_reverse(self):
"""
Goal: return a reversed self
Arguments:
none
Returns:
a Junction which is the reverse of self (note does change original)
"""
self.took_reverse_compliment = not self.took_reverse_compliment
comp = {"A": "T", "a": "t", "T": "A", "t": "a", "G": "C", "g": "c", "C": "G", "c": "g", "N": "N", "n": "n"}
# Take the reverse compliments of the seqs and switch them between donor and acceptor
self.consensus = "".join([comp[base] for base in self.consensus])[::-1]
self.donor_sam.seq = "".join([comp[base] for base in self.donor_sam.seq])[::-1]
self.acceptor_sam.seq = "".join([comp[base] for base in self.acceptor_sam.seq])[::-1]
self.donor_sam.seq, self.acceptor_sam.seq = self.acceptor_sam.seq, self.donor_sam.seq
# Flip the strands of both SAMs
# NOTE only switch the strands if both are + or -, don't do it otherwise
# Interesting that it works this way, but I drew it out and I'm confident
if self.donor_sam.strand == self.acceptor_sam.strand:
self.donor_sam.strand = "-" if self.donor_sam.strand == "+" else "+"
self.acceptor_sam.strand = "-" if self.acceptor_sam.strand == "+" else "+"
# Trade starts and stops of donor and acceptor and chromosome
self.donor_sam.start, self.acceptor_sam.start = self.acceptor_sam.start, self.donor_sam.start
self.donor_sam.stop, self.acceptor_sam.stop = self.acceptor_sam.stop, self.donor_sam.stop
self.donor_sam.chromosome, self.acceptor_sam.chromosome = (
self.acceptor_sam.chromosome,
self.donor_sam.chromosome,
)
return self
# Format the junction for MACHETE in fasta form
# NOTE only call this function on 'fusion' identified junctions
def fasta_MACHETE(self):
"""
Goal: produce a fasta_string for MACHETE
Arguments:
none
Returns:
a fasta formatted string (with a newline between header and sequence)
"""
# Make the necessary variables
chrom1 = self.donor_sam.chromosome
chrom2 = self.acceptor_sam.chromosome
genes1 = self.donor_sam.str_gene()
genes2 = self.acceptor_sam.str_gene()
pos1 = self.donor_sam.donor()
pos2 = self.acceptor_sam.acceptor()
strand1 = self.donor_sam.strand
strand2 = self.acceptor_sam.strand
fusion_type = self.get_fusion_type()
# Start building the fasta string
fasta_str = ""
fasta_str += ">"
fasta_str += str(chrom1) + ":" + str(genes1) + ":" + str(pos1) + ":" + str(strand1) + "|"
fasta_str += str(chrom2) + ":" + str(genes2) + ":" + str(pos2) + ":" + str(strand2) + "|"
fasta_str += fusion_type
fasta_str += ",num=" + str(len(self.bin_pair_group))
fasta_str += ",score=" + str(self.score)
fasta_str += ",gap=" + str(self.splice_gap())
fasta_str += ",don-dist:" + str(self.boundary_dist("donor"))
fasta_str += ",acc-dist:" + str(self.boundary_dist("acceptor"))
fasta_str += ",jct_ind=" + str(self.jct_ind)
fasta_str += "\n"
# Add the actual padded consensus to the output string
splice_flank_len = int(self.constants_dict["splice_flank_len"])
full_consensus = self.format_consensus(splice_flank_len)
fasta_str += str(full_consensus) + "\n"
return fasta_str
# Format the junction to print in fasta-esque form
def log_string(self):
"""
Goal: produce a fasta_string
Arguments:
optionally include a junction index.
if it is included, it will be printed out
Returns:
a description of the junction over multiple lines
"""
fasta_str = ""
fasta_str += ">|" + str(self.donor_sam.chromosome) + "|"
fasta_str += str(self.donor_sam.str_gene()) + " "
fasta_str += str(self.donor_sam.gene_strand()) + " strand|"
fasta_str += str(self.donor_sam.start) + "-"
fasta_str += str(self.donor_sam.stop) + "|"
fasta_str += "strand1:" + str(self.donor_sam.strand) + "|"
fasta_str += "boundary_dist1:" + str(self.boundary_dist("donor")) + "|"
fasta_str += "at_boundary1:" + str(self.at_boundary("donor")) + "|\n"
fasta_str += ">|" + str(self.acceptor_sam.chromosome) + "|"
fasta_str += str(self.acceptor_sam.str_gene()) + " "
fasta_str += str(self.acceptor_sam.gene_strand()) + " strand|"
fasta_str += str(self.acceptor_sam.start) + "-"
fasta_str += str(self.acceptor_sam.stop) + "|"
fasta_str += "strand2:" + str(self.acceptor_sam.strand) + "|"
fasta_str += "boundary_dist2:" + str(self.boundary_dist("acceptor")) + "|"
fasta_str += "at_boundary2:" + str(self.at_boundary("acceptor")) + "|\n"
fasta_str += ">|splice:" + str(self.splice_ind()) + "|"
fasta_str += "score:" + str(self.score) + "|"
fasta_str += "fusion:" + str(self.get_fusion_type()) + "|"
fasta_str += "num:" + str(len(self.bin_pair_group)) + "|"
fasta_str += "splice:" + str(self.splice_type()) + "|"
fasta_str += "jct_ind:" + str(self.jct_ind) + "|\n"
splice_flank_len = int(self.constants_dict["splice_flank_len"])
full_consensus = self.format_consensus(splice_flank_len)
fasta_str += str(full_consensus) + "\n"
fasta_str += str(self.donor_sam.seq) + "\n"
fasta_str += " " * self.splice_ind() + str(self.acceptor_sam.seq) + "\n"
# Also printing out gtf information
# fasta_str += "Donor_gtf:"+str(self.donor_sam.gtf)+"\n"
# fasta_str += "Acceptor_gtf:"+str(self.acceptor_sam.gtf)+"\n"
return fasta_str
# Format the junction to print in fasta form
def verbose_fasta_string(self):
"""
Goal: produce a fasta formatted string of this junction with lots of header info
Arguments:
none
Returns:
a fasta string (with a newline between the header and sequence)
"""
fasta_str = ""
fasta_str += ">|chromosome1:" + str(self.donor_sam.chromosome) + "|"
fasta_str += "genes1:" + str(self.donor_sam.str_gene()) + "|"
fasta_str += "start1:" + str(self.donor_sam.start) + "|"
fasta_str += "stop1:" + str(self.donor_sam.stop) + "|"
fasta_str += "strand1:" + str(self.donor_sam.strand) + "|"
fasta_str += "boundary_dist1:" + str(self.boundary_dist("donor")) + "|"
fasta_str += "at_boundary1:" + str(self.at_boundary("donor")) + "|_"
fasta_str += "|chromosome2:" + str(self.acceptor_sam.chromosome) + "|"
fasta_str += "genes2:" + str(self.acceptor_sam.str_gene()) + "|"
fasta_str += "start2:" + str(self.acceptor_sam.start) + "|"
fasta_str += "stop2:" + str(self.acceptor_sam.stop) + "|"
fasta_str += "strand2:" + str(self.acceptor_sam.strand) + "|"
fasta_str += "boundary_dist2:" + str(self.boundary_dist("acceptor")) + "|"
fasta_str += "at_boundary2:" + str(self.at_boundary("acceptor")) + "|_|"
fasta_str += "jct_ind:" + str(self.jct_ind) + "|"
fasta_str += "splice:" + str(self.splice_ind()) + "|"
fasta_str += "span:" + str(self.span()) + "|"
fasta_str += "score:" + str(self.score) + "|"
fasta_str += "fusion:" + str(self.get_fusion_type()) + "|"
fasta_str += "num:" + str(len(self.bin_pair_group)) + "|"
fasta_str += "splice-gap:" + str(self.splice_gap()) + "|"
fasta_str += "splice-type:" + str(self.splice_type()) + "|"
fasta_str += "took-rev-comp:" + str(self.took_reverse_compliment) + "|\n"
# Add N padding to the consensus to get a uniform len
splice_flank_len = int(self.constants_dict["splice_flank_len"])
full_consensus = self.format_consensus(splice_flank_len)
fasta_str += str(full_consensus) + "\n"
return fasta_str
# Add N padding to the consensus to get a uniform len
# With the splice site in the middle
def format_consensus(self, splice_flank_len):
"""
Goal: return the consensus properly formatted centered and uniform len
Arguments:
splice_flank_len is an int deciding how long either side should be
from the consensus
Returns:
a string of either the full consensus of None if there is no splice ind
"""
full_consensus = None
if self.splice_ind() != -1:
splice_flank_len = int(self.constants_dict["splice_flank_len"])
left_padding = "N" * (splice_flank_len - self.splice_ind())
right_padding = "N" * (splice_flank_len - (len(self.consensus) - self.splice_ind()))
five_consensus = self.consensus[: self.splice_ind()]
three_consensus = self.consensus[self.splice_ind() :]
full_consensus = left_padding + five_consensus + three_consensus + right_padding
return str(full_consensus)
# Give back the R1 readIDs used to make this junction
def get_read_ids(self):
"""
Goal: return a list of the read ids (strings) that made this junction
Arguments:
none
Returns:
a list[string] of the read-ids for this junction
"""
read_ids = []
for bin_pair in self.bin_pair_group:
donor_id = bin_pair.five_prime_SAM.read_id.replace("/5_prime", "")
acceptor_id = bin_pair.five_prime_SAM.read_id.replace("/3_prime", "")
if donor_id == acceptor_id:
read_ids.append(donor_id)
else:
sys.stderr.write("SPORK ERROR, nonmatching ids in jct: [" + donor_id + "] vs [" + acceptor_id + "]\n")
sys.exit(1)
return read_ids
# More human readable format
def __str__(self):
"""
Goal: output the junction in an expanded human readable form
Arguments:
none
Returns:
the string to be printed out
"""
out_str = ""
out_str += (
"Junction with bin pair [" + self.bin_pair + "] with [" + str(len(self.bin_pair_group)) + "] reads mapped\n"
)
out_str += "Linear " if self.linear() else "Non-Linear "
out_str += (
"Donor on the "
+ str(self.donor_sam.strand)
+ " strand and acceptor on the "
+ str(self.acceptor_sam.strand)
+ "\n"
)
out_str += "5' map position [" + str(self.donor_sam.start) + "-" + str(self.donor_sam.stop) + "]\n"
out_str += "3' map position [" + str(self.acceptor_sam.start) + "-" + str(self.acceptor_sam.stop) + "]\n"
out_str += (
"Consensus with score [" + str(self.score) + "] and donor splice site [" + str(self.donor_sam.stop) + "]:\n"
)
out_str += str(self.consensus) + "\n"
out_str += str(self.donor_sam.seq) + "\n"
out_str += " " * len(str(self.donor_sam.seq)) + str(self.acceptor_sam.seq) + "\n"
out_str += "Donor genes [" + str(self.donor_sam.str_gene()) + "]\n"
out_str += "Acceptor genes [" + str(self.acceptor_sam.str_gene()) + "]\n"
return out_str
# Rank junctions in order of bin_pairs when sorted
def __lt__(self, other):
"""
Goal: give a comparison operator for the Junction class
Arguments:
other junction to compare to
Returns:
a boolean of whether or not this bin_pair
is smaller than the other bin_pair
"""
return self.bin_pair < other.bin_pair
class Junction(object):
__slots__ = [
"consensus", "score", "bin_pair", "bin_pair_group",
"took_reverse_compliment", "constants_dict", "donor_sam",
"acceptor_sam", "mapq", "jct_ind"
]
def __init__(self, consensus, score, bin_pair_group, jct_ind,
took_reverse_compliment, constants_dict):
"""
Goal: Initialization function of junction
Arguments:
consensus -- str
score -- float
bin_pair_group -- list[bin_pair]
took_reverse_coompliment -- bool
constants_dict -- dict[str->multiple types]
Returns:
nothing
"""
#Read in arguments
self.consensus = consensus
self.score = score
self.bin_pair_group = bin_pair_group
self.jct_ind = jct_ind
self.took_reverse_compliment = took_reverse_compliment
self.constants_dict = constants_dict
self.mapq = 0
#Find chromosome, bin_pair and strand info from the first mapped read
rep_bin_pair = self.bin_pair_group[0]
self.bin_pair = rep_bin_pair.bin_pair
self.donor_sam = SAMEntry()
self.acceptor_sam = SAMEntry()
#Get some information for the donor sam from the five_prime sam of the bin pair
self.donor_sam.chromosome = rep_bin_pair.five_prime_chr
self.donor_sam.start = rep_bin_pair.five_prime_SAM.start
self.donor_sam.stop = rep_bin_pair.five_prime_SAM.stop
#Get some information for the acceptor sam from the three_prime sam of the bin pair
self.acceptor_sam.chromosome = rep_bin_pair.three_prime_chr
self.acceptor_sam.start = rep_bin_pair.three_prime_SAM.start
self.acceptor_sam.stop = rep_bin_pair.three_prime_SAM.stop
#Use the sam's to find the splice index in reference to the concensus
def splice_ind(self):
"""
Goal: Get the splice site in consensus coordinates [0,len(consensus)-1]
Arguments:
none
Returns:
the 3' edge of the donor sequence if both sams are defined
otherwise returns the middle index of the consensus as a guess
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
#NOTE currently doesn't handle gaps well (just returns the donor side index of gap)
return len(self.donor_sam.seq)
else:
return len(self.consensus) / 2
#Use the sam's again to find the size of the gap between the two pieces
def splice_gap(self):
"""
Goal: Find the distance between the donor and acceptor splice sites
in consensus coordinates [0,len(consensus)-1]
Arguments:
none
Returns:
the distance between the 3' end of the donor and 5' end of the acceptor
if one or both of the sam's are undefined return -1
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
donor_pos = self.consensus.index(self.donor_sam.seq) + len(
self.donor_sam.seq)
acceptor_pos = self.consensus.index(self.acceptor_sam.seq)
return donor_pos - acceptor_pos
else:
return None
#Use the sam's again to find the size of the gap between the two pieces
def span(self):
"""
Goal: find the genomic span between the sams
Arguments:
none
Returns:
if both exist subtract the donor and acceptor sites
this distance will always be positive
if one or both don't exist just return -1
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
span = self.donor_sam.donor() - self.acceptor_sam.acceptor()
return abs(span)
else:
return -1
#Give a name to the splice type for this junction
def splice_type(self):
"""
Goal: get the type of splice this junction represents
Arguments:
none
Returns:
"Full" if both sams exist and have zero gaps in the split
"Gapped" if both sams exist but there is space in the middle
"Five_Only" if only the donor sam exists
"Three_Only" if only the acceptor sam exists
"None" if niether sam exists
"""
if self.donor_sam.exists and self.acceptor_sam.exists:
if self.splice_gap() == 0:
return "Full"
else:
return "Gapped"
elif self.donor_sam.exists:
return "Five_Only"
elif self.acceptor_sam.exists:
return "Three_Only"
else:
return "None"
#Check to see if this jct represents a fusion
def get_fusion_type(self, span_cutoff=1e6):
"""
Goal: check if this junction represents a fusion
Arguments:
none
Returns:
bool of whether or not the donor and acceptor have different genes
if one or more don't exists then return False
"""
anonat = "" #Can be 'bot', 'donor', 'acceptor', or 'none'
chroms = "" #Can be 'interchrom', 'distant-intrachrom', or 'local-intrachrom'
strand = "" #Can be 'inversion', 'plus', or 'minus'
revreg = "" #Can be 'rev', 'reg', or 'invert'
#Get the anonat type
if self.at_boundary("donor") and self.at_boundary("acceptor"):
anonat = "both"
elif self.at_boundary("donor"):
anonat = "donor"
elif self.at_boundary("acceptor"):
anonat = "acceptor"
else:
anonat = "niether"
#Get the chromosomes type
if self.donor_sam.chromosome != self.acceptor_sam.chromosome:
chroms = "interchrom"
elif self.span() >= span_cutoff:
chroms = "distant-intrachrom"
else:
chroms = "local-intrachrom"
#Get the strand type
if self.donor_sam.strand != self.acceptor_sam.strand:
strand = "inversion"
elif self.donor_sam.strand == "+":
strand = "plus"
elif self.donor_sam.strand == "-":
strand = "minus"
#Get the revreg type
if strand == "inversion":
revreg = "invert"
elif self.donor_sam.donor < self.acceptor_sam.acceptor and self.donor_sam.strand == "+":
revreg = "reg"
elif self.donor_sam.donor > self.acceptor_sam.acceptor and self.donor_sam.strand == "-":
revreg = "reg"
else:
revreg = "rev"
#Should this be considered a fusion?
fusion = "no_fusion"
if anonat == "both":
if self.splice_gap() != None and abs(self.splice_gap(
)) <= self.constants_dict["fusion_max_gap"]:
if chroms != "local-intrachrom":
fusion = "fusion"
#Concatenate them into one string
fusion_type = fusion + "-" + anonat + "_" + chroms + "_" + strand + "_" + revreg
return fusion_type
#Get distance to closest splice boundary
def boundary_dist(self, splice_site, bowtie_style=True):
"""
Goal: get the distance of the specified splice site from the closest exon
Arguments:
splice_site which is a string and can be either "donor" or "acceptor"
bowtie_style is an optional boolean argument
if True (default), then if a donor/acceptor falls to the 'right' of the gtf-site,
regardless of strand, it will be a positive distance
if False, then the strand does matter, and being 5' of gtf is negative and 3' is positive
Returns:
the distance to the closest gtf of the specified splice_site
the distance being positive or negative means different things based on the bowtie_style parameter
explained above
"""
#If donor distance is requested
if splice_site == "donor" and self.donor_sam.gtf:
donor_dist = 0
if not bowtie_style:
if self.donor_sam.strand == "+":
donor_dist = self.donor_sam.donor(
) - self.donor_sam.gtf.donor
elif self.donor_sam.strand == "-":
donor_dist = self.donor_sam.gtf.donor - self.donor_sam.donor(
)
else:
sys.stderr.write(
"SPORK ERROR: in Junction boundary dist, incorrect strand option \n"
)
sys.exit(1)
elif bowtie_style:
donor_dist = self.donor_sam.donor() - self.donor_sam.gtf.donor
return donor_dist
#If acceptor distance is requested
elif splice_site == "acceptor" and self.acceptor_sam.gtf:
acceptor_dist = 0
if not bowtie_style:
if self.acceptor_sam.strand == "+":
acceptor_dist = self.acceptor_sam.acceptor(
) - self.acceptor_sam.gtf.acceptor
elif self.acceptor_sam.strand == "-":
acceptor_dist = self.acceptor_sam.gtf.acceptor - self.acceptor_sam.acceptor(
)
else:
sys.stderr.write(
"SPORK ERROR: in Junction boundary dist, incorrect strand option \n"
)
sys.exit(1)
elif bowtie_style:
acceptor_dist = self.acceptor_sam.acceptor(
) - self.acceptor_sam.gtf.acceptor
return acceptor_dist
#If a different string was passed in or the specified gtf doesn't exist
else:
sys.stderr.write(
"SPORK ERROR: in Junction boundary dist, incorrect str or gtf doesn't exist\n"
)
sys.exit(1)
#Return whether or not an donor and acceptor is at a boundary
def at_boundary(self, splice_site):
"""
Goal: check to see if the specified sam is at an exon boundary
Arguments:
splice_site of type string. should be "donor" or "acceptor"
to specify which sam to check
radius is optional and signifies the maximum distance from
an exon boundary to consider a sam. Default is 3
Returns:
a boolean of whether or not the specified sam is within
'radius' distance of any exon boundary
"""
dist = self.boundary_dist(splice_site)
if abs(dist) <= self.constants_dict["at_boundary_cutoff"]:
return True
else:
return False
#Returns whether or not this junction is linear
def linear(self):
"""
Goal: check to see if this junction in linear
Arguments:
none
Returns:
a boolean of whether the junction is linear or not
"""
five_prime_bin, three_prime_bin, strand_info = self.bin_pair.split("_")
five_prime_chr = five_prime_bin.split(":")[0]
five_prime_bin = five_prime_bin.split(":")[1]
three_prime_chr = three_prime_bin.split(":")[0]
three_prime_bin = three_prime_bin.split(":")[1]
linear = True if int(five_prime_bin) <= int(three_prime_bin) else False
linear = not linear if self.took_reverse_compliment else linear
return linear
#Returns this junction and a reverse compliment of this junction
#to facilitate finding the gtf's of each and seeing which form is better
def yield_forward_and_reverse(self):
"""
Goal: return a copy of self and a reverse compliment of self
Arguments:
none
Returns:
a tuple of Junction where the first entry is self and the
second is a reverse compliment of self
"""
#sys.stdout.write("Before copy in yield_forward_and_reverse\n")
rev_self = Junction(self.consensus, self.score, self.bin_pair_group,
self.jct_ind, self.took_reverse_compliment,
self.constants_dict)
#rev_self = copy.deepcopy(self)
#sys.stdout.write("After copy in yield_forward_and_reverse\n")
rev_self.took_reverse_compliment = not rev_self.took_reverse_compliment
comp = {
"A": "T",
"a": "t",
"T": "A",
"t": "a",
"G": "C",
"g": "c",
"C": "G",
"c": "g",
"N": "N",
"n": "n"
}
#Take the reverse compliments of the seqs and switch them between donor and acceptor
rev_self.consensus = "".join([comp[base]
for base in self.consensus])[::-1]
rev_self.donor_sam.seq = "".join(
[comp[base] for base in self.donor_sam.seq])[::-1]
rev_self.acceptor_sam.seq = "".join(
[comp[base] for base in self.acceptor_sam.seq])[::-1]
rev_self.donor_sam.seq, rev_self.acceptor_sam.seq = rev_self.acceptor_sam.seq, rev_self.donor_sam.seq
#Flip the strands of both SAMs
#NOTE only switch the strands if both are + or -, don't do it otherwise
#Interesting that it works this way, but I drew it out and I'm confident
rev_self.donor_sam.strand = self.donor_sam.strand
rev_self.acceptor_sam.strand = self.acceptor_sam.strand
if rev_self.donor_sam.strand == rev_self.acceptor_sam.strand:
rev_self.donor_sam.strand = "-" if rev_self.donor_sam.strand == "+" else "+"
rev_self.acceptor_sam.strand = "-" if rev_self.acceptor_sam.strand == "+" else "+"
#Trade starts and stops of donor and acceptor and chromosome
rev_self.donor_sam.start, rev_self.acceptor_sam.start = self.acceptor_sam.start, self.donor_sam.start
rev_self.donor_sam.stop, rev_self.acceptor_sam.stop = self.acceptor_sam.stop, self.donor_sam.stop
rev_self.donor_sam.chromosome, rev_self.acceptor_sam.chromosome = self.acceptor_sam.chromosome, self.donor_sam.chromosome
rev_self.donor_sam.exists = True
rev_self.acceptor_sam.exists = True
return self, rev_self
#Returns this junction and a reverse compliment of this junction
#to facilitate finding the gtf's of each and seeing which form is better
def yield_reverse(self):
"""
Goal: return a reversed self
Arguments:
none
Returns:
a Junction which is the reverse of self (note does change original)
"""
self.took_reverse_compliment = not self.took_reverse_compliment
comp = {
"A": "T",
"a": "t",
"T": "A",
"t": "a",
"G": "C",
"g": "c",
"C": "G",
"c": "g",
"N": "N",
"n": "n"
}
#Take the reverse compliments of the seqs and switch them between donor and acceptor
self.consensus = "".join([comp[base] for base in self.consensus])[::-1]
self.donor_sam.seq = "".join(
[comp[base] for base in self.donor_sam.seq])[::-1]
self.acceptor_sam.seq = "".join(
[comp[base] for base in self.acceptor_sam.seq])[::-1]
self.donor_sam.seq, self.acceptor_sam.seq = self.acceptor_sam.seq, self.donor_sam.seq
#Flip the strands of both SAMs
#NOTE only switch the strands if both are + or -, don't do it otherwise
#Interesting that it works this way, but I drew it out and I'm confident
if self.donor_sam.strand == self.acceptor_sam.strand:
self.donor_sam.strand = "-" if self.donor_sam.strand == "+" else "+"
self.acceptor_sam.strand = "-" if self.acceptor_sam.strand == "+" else "+"
#Trade starts and stops of donor and acceptor and chromosome
self.donor_sam.start, self.acceptor_sam.start = self.acceptor_sam.start, self.donor_sam.start
self.donor_sam.stop, self.acceptor_sam.stop = self.acceptor_sam.stop, self.donor_sam.stop
self.donor_sam.chromosome, self.acceptor_sam.chromosome = self.acceptor_sam.chromosome, self.donor_sam.chromosome
return self
#Format the junction for MACHETE in fasta form
#NOTE only call this function on 'fusion' identified junctions
def fasta_MACHETE(self):
"""
Goal: produce a fasta_string for MACHETE
Arguments:
none
Returns:
a fasta formatted string (with a newline between header and sequence)
"""
#Make the necessary variables
chrom1 = self.donor_sam.chromosome
chrom2 = self.acceptor_sam.chromosome
genes1 = self.donor_sam.str_gene()
genes2 = self.acceptor_sam.str_gene()
pos1 = self.donor_sam.donor()
pos2 = self.acceptor_sam.acceptor()
strand1 = self.donor_sam.strand
strand2 = self.acceptor_sam.strand
fusion_type = self.get_fusion_type()
#Start building the fasta string
fasta_str = ""
fasta_str += ">"
fasta_str += str(chrom1) + ":" + str(genes1) + ":" + str(
pos1) + ":" + str(strand1) + "|"
fasta_str += str(chrom2) + ":" + str(genes2) + ":" + str(
pos2) + ":" + str(strand2) + "|"
fasta_str += fusion_type
fasta_str += ",num=" + str(len(self.bin_pair_group))
fasta_str += ",score=" + str(self.score)
fasta_str += ",gap=" + str(self.splice_gap())
fasta_str += ",don-dist:" + str(self.boundary_dist("donor"))
fasta_str += ",acc-dist:" + str(self.boundary_dist("acceptor"))
fasta_str += ",mapq=" + str(self.mapq)
fasta_str += ",jct_ind=" + str(self.jct_ind)
fasta_str += "\n"
#Add the actual padded consensus to the output string
splice_flank_len = int(self.constants_dict["splice_flank_len"])
full_consensus = self.format_consensus(splice_flank_len)
fasta_str += str(full_consensus) + "\n"
return fasta_str
#Format the junction to print in fasta-esque form
def log_string(self):
"""
Goal: produce a fasta_string
Arguments:
optionally include a junction index.
if it is included, it will be printed out
Returns:
a description of the junction over multiple lines
"""
fasta_str = ""
fasta_str += ">|" + str(self.donor_sam.chromosome) + "|"
fasta_str += str(self.donor_sam.str_gene()) + " "
fasta_str += str(self.donor_sam.gene_strand()) + " strand|"
fasta_str += str(self.donor_sam.start) + "-"
fasta_str += str(self.donor_sam.stop) + "|"
fasta_str += "strand1:" + str(self.donor_sam.strand) + "|"
fasta_str += "boundary_dist1:" + str(self.boundary_dist("donor")) + "|"
fasta_str += "at_boundary1:" + str(self.at_boundary("donor")) + "|\n"
fasta_str += ">|" + str(self.acceptor_sam.chromosome) + "|"
fasta_str += str(self.acceptor_sam.str_gene()) + " "
fasta_str += str(self.acceptor_sam.gene_strand()) + " strand|"
fasta_str += str(self.acceptor_sam.start) + "-"
fasta_str += str(self.acceptor_sam.stop) + "|"
fasta_str += "strand2:" + str(self.acceptor_sam.strand) + "|"
fasta_str += "boundary_dist2:" + str(
self.boundary_dist("acceptor")) + "|"
fasta_str += "at_boundary2:" + str(
self.at_boundary("acceptor")) + "|\n"
fasta_str += ">|splice:" + str(self.splice_ind()) + "|"
fasta_str += "score:" + str(self.score) + "|"
fasta_str += "fusion:" + str(self.get_fusion_type()) + "|"
fasta_str += "num:" + str(len(self.bin_pair_group)) + "|"
fasta_str += "splice:" + str(self.splice_type()) + "|"
fasta_str += "mapq=" + str(self.mapq) + "|"
fasta_str += "jct_ind:" + str(self.jct_ind) + "|\n"
splice_flank_len = int(self.constants_dict["splice_flank_len"])
full_consensus = self.format_consensus(splice_flank_len)
fasta_str += str(full_consensus) + "\n"
fasta_str += str(self.donor_sam.seq) + "\n"
fasta_str += " " * self.splice_ind() + str(
self.acceptor_sam.seq) + "\n"
#Also printing out gtf information
#fasta_str += "Donor_gtf:"+str(self.donor_sam.gtf)+"\n"
#fasta_str += "Acceptor_gtf:"+str(self.acceptor_sam.gtf)+"\n"
return fasta_str
#Format the junction to print in fasta form
def verbose_fasta_string(self):
"""
Goal: produce a fasta formatted string of this junction with lots of header info
Arguments:
none
Returns:
a fasta string (with a newline between the header and sequence)
"""
fasta_str = ""
fasta_str += ">|chromosome1:" + str(self.donor_sam.chromosome) + "|"
fasta_str += "genes1:" + str(self.donor_sam.str_gene()) + "|"
fasta_str += "start1:" + str(self.donor_sam.start) + "|"
fasta_str += "stop1:" + str(self.donor_sam.stop) + "|"
fasta_str += "strand1:" + str(self.donor_sam.strand) + "|"
fasta_str += "boundary_dist1:" + str(self.boundary_dist("donor")) + "|"
fasta_str += "at_boundary1:" + str(self.at_boundary("donor")) + "|_"
fasta_str += "|chromosome2:" + str(self.acceptor_sam.chromosome) + "|"
fasta_str += "genes2:" + str(self.acceptor_sam.str_gene()) + "|"
fasta_str += "start2:" + str(self.acceptor_sam.start) + "|"
fasta_str += "stop2:" + str(self.acceptor_sam.stop) + "|"
fasta_str += "strand2:" + str(self.acceptor_sam.strand) + "|"
fasta_str += "boundary_dist2:" + str(
self.boundary_dist("acceptor")) + "|"
fasta_str += "at_boundary2:" + str(
self.at_boundary("acceptor")) + "|_|"
fasta_str += "jct_ind:" + str(self.jct_ind) + "|"
fasta_str += "splice:" + str(self.splice_ind()) + "|"
fasta_str += "span:" + str(self.span()) + "|"
fasta_str += "score:" + str(self.score) + "|"
fasta_str += "fusion:" + str(self.get_fusion_type()) + "|"
fasta_str += "num:" + str(len(self.bin_pair_group)) + "|"
fasta_str += "splice-gap:" + str(self.splice_gap()) + "|"
fasta_str += "splice-type:" + str(self.splice_type()) + "|"
fasta_str += "took-rev-comp:" + str(
self.took_reverse_compliment) + "|\n"
# Add N padding to the consensus to get a uniform len
splice_flank_len = int(self.constants_dict["splice_flank_len"])
full_consensus = self.format_consensus(splice_flank_len)
fasta_str += str(full_consensus) + "\n"
return fasta_str
#Add N padding to the consensus to get a uniform len
#With the splice site in the middle
def format_consensus(self, splice_flank_len):
"""
Goal: return the consensus properly formatted centered and uniform len
Arguments:
splice_flank_len is an int deciding how long either side should be
from the consensus
Returns:
a string of either the full consensus of None if there is no splice ind
"""
full_consensus = None
if self.splice_ind() != -1:
splice_flank_len = int(self.constants_dict["splice_flank_len"])
left_padding = "N" * (splice_flank_len - self.splice_ind())
right_padding = "N" * (splice_flank_len -
(len(self.consensus) - self.splice_ind()))
five_consensus = self.consensus[:self.splice_ind()]
three_consensus = self.consensus[self.splice_ind():]
full_consensus = left_padding + five_consensus + three_consensus + right_padding
return str(full_consensus)
#Give back the R1 readIDs used to make this junction
def get_read_ids(self):
"""
Goal: return a list of the read ids (strings) that made this junction
Arguments:
none
Returns:
a list[string] of the read-ids for this junction
"""
read_ids = []
for bin_pair in self.bin_pair_group:
donor_id = bin_pair.five_prime_SAM.read_id.replace("/5_prime", "")
acceptor_id = bin_pair.five_prime_SAM.read_id.replace(
"/3_prime", "")
if donor_id == acceptor_id:
read_ids.append(donor_id)
else:
sys.stderr.write("SPORK ERROR, nonmatching ids in jct: [" +
donor_id + "] vs [" + acceptor_id + "]\n")
sys.exit(1)
return read_ids
#More human readable format
def __str__(self):
"""
Goal: output the junction in an expanded human readable form
Arguments:
none
Returns:
the string to be printed out
"""
out_str = ""
out_str += "Junction with bin pair [" + self.bin_pair + "] with [" + str(
len(self.bin_pair_group)) + "] reads mapped\n"
out_str += "Linear " if self.linear() else "Non-Linear "
out_str += "Donor on the " + str(
self.donor_sam.strand) + " strand and acceptor on the " + str(
self.acceptor_sam.strand) + "\n"
out_str += "5' map position [" + str(self.donor_sam.start) + "-" + str(
self.donor_sam.stop) + "]\n"
out_str += "3' map position [" + str(
self.acceptor_sam.start) + "-" + str(
self.acceptor_sam.stop) + "]\n"
out_str += "Consensus with score [" + str(
self.score) + "] and donor splice site [" + str(
self.donor_sam.stop) + "]:\n"
out_str += str(self.consensus) + "\n"
out_str += str(self.donor_sam.seq) + "\n"
out_str += " " * len(str(self.donor_sam.seq)) + str(
self.acceptor_sam.seq) + "\n"
out_str += "Donor genes [" + str(self.donor_sam.str_gene()) + "]\n"
out_str += "Acceptor genes [" + str(
self.acceptor_sam.str_gene()) + "]\n"
return out_str
#Rank junctions in order of bin_pairs when sorted
def __lt__(self, other):
"""
Goal: give a comparison operator for the Junction class
Arguments:
other junction to compare to
Returns:
a boolean of whether or not this bin_pair
is smaller than the other bin_pair
"""
return self.bin_pair < other.bin_pair
