/usr/share/kissplice/kissplice.py is in kissplice 2.4.0-p1-1.
This file is owned by root:root, with mode 0o755.
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# ***************************************************************************
#
# KisSplice
# de-novo calling alternative splicing events from RNA-seq data.
#
# ***************************************************************************
#
# Copyright INRIA
# contributors : Vincent Lacroix
# Pierre Peterlongo
# Gustavo Sacomoto
# Alice Julien-Laferriere
# David Parsons
# Vincent Miele
#
# pierre.peterlongo@inria.fr
# vincent.lacroix@univ-lyon1.fr
#
# This software is a computer program whose purpose is to detect alternative
# splicing events from RNA-seq data.
#
# This software is governed by the CeCILL license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify and/ or redistribute the software under the terms of the CeCILL
# license as circulated by CEA, CNRS and INRIA at the following URL
# "http://www.cecill.info".
# As a counterpart to the access to the source code and rights to copy,
# modify and redistribute granted by the license, users are provided only
# with a limited warranty and the software's author, the holder of the
# economic rights, and the successive licensors have only limited
# liability.
# In this respect, the user's attention is drawn to the risks associated
# with loading, using, modifying and/or developing or reproducing the
# software by the user in light of its specific status of free software,
# that may mean that it is complicated to manipulate, and that also
# therefore means that it is reserved for developers and experienced
# professionals having in-depth computer knowledge. Users are therefore
# encouraged to load and test the software's suitability as regards their
# requirements in conditions enabling the security of their systems and/or
# data to be ensured and, more generally, to use and operate it in the
# same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
import os
import re
import sys
import time
import shlex
import struct
import shutil
import os.path
import tempfile
import argparse
import threading
import multiprocessing
from random import randint
from operator import itemgetter
from subprocess import Popen, PIPE, STDOUT
TIMEOUT=100000
logFile = 0
logFileName = ""
unfinished_bccs = []
num_snps = {}
# print str to the logFile
def printlg (*args):
global logFile
print >> logFile, ''.join(str(arg) for arg in args)
# get the timestamp as string
def getTimestamp():
return "["+time.strftime("%H:%M:%S")+" "+time.strftime("%d/%m/%Y")+"] "
class Command(object): # deprecated in the future with Python3
def __init__(self):
self.process = None
def target(self, **kwargs):
self.process = Popen(kwargs["args"], stdout=kwargs["stdout"], stderr=PIPE)
com = self.process.communicate()
if com[0] and (kwargs["verbose"] or self.process.returncode != 0):
print com[0]
# Prints stderr that was piped by Popen
if com[1] and (kwargs["verbose"] or self.process.returncode != 0):
print com[1]
def run(self, command_line, out_file = "", mode = 'w', verbose = False, timeout = sys.maxint):
if verbose:
print getTimestamp() + "Running "+command_line
args = shlex.split(command_line)
if len(out_file):
stdout_file = open(out_file, mode)
kwargs = {"verbose":verbose, "args":args, "stdout":stdout_file}
else:
kwargs = {"verbose":verbose, "args":args, "stdout":PIPE}
# Create a Thread object that will run "self.target" with arguments kwargs
# (given in the form of keyword argument) and start it
thread = threading.Thread(target=self.target, kwargs=kwargs)
thread.start()
# Wait for end of thread or time out
thread.join( timeout )
# Check whether thread has ended or timed out
# (if timed out, kill it and wait for it to actually die)
if thread.is_alive():
self.process.terminate()
thread.join()
if len(out_file):
stdout_file.close()
if self.process.returncode == -15:
print >> sys.stderr, "\n\t\t *** Timeout reached! ***\n" #+ command_line
elif self.process.returncode == 15:
print >> sys.stderr, "\n\t\t *** Maximum number of bubbles reached! ***\n"
elif self.process.returncode == -6:
print >> sys.stderr, "\n\t\t *** Memory limit reached! ***\n"
elif self.process.returncode == -11:
print >> sys.stderr, "\n\t\t *** Problem with " + command_line.split()[0] + " ***"
print >> sys.stderr, "\t\t *** Try increasing your stack size before running KisSplice executing: \"ulimit -s <new_limit>\" (you may first try \"ulimit -s unlimited\" if your OS accepts it. Otherwise, you can find the highest value for <new_limit> executing \"ulimit -H -s\").***\n"
sys.exit(self.process.returncode)
elif self.process.returncode != 0:
print >> sys.stderr, "Problem with " + command_line.split()[0]
sys.exit(self.process.returncode)
def mkdirTmp(tmpdir=None):
if not tmpdir:
workdir = tempfile.mkdtemp(prefix="kissplice.")
else:
workdir = tempfile.mkdtemp(prefix="kissplice.", dir=tmpdir)
return workdir
def cleanTmp(workdir):
shutil.rmtree(workdir)
def subprocessLauncher(command_line, out_file = "", mode = 'w', verbose = False, timeout = sys.maxint):
command = Command()
command.run(command_line, out_file, mode, verbose, timeout)
return command.process.returncode
def to_file(readfiles, filename = "tmp"):
f = open(filename, 'w')
reads = readfiles.split(' ')
for r in reads:
f.write(r + "\n")
f.close()
# Run debruijn graph construction
def build_graph(KISSPLICE_INSTDIR, workdir, readfiles, kval, graphfile, min_cov, genome_size, verbose = False):
print getTimestamp() + "--> Building de Bruijn graph..."
printlg(getTimestamp() + "--> Building de Bruijn graph...")
print "Graph will be written in "+graphfile+".[edges/nodes]"
printlg("Graph will be written in "+graphfile+".[edges/nodes]")
all_read_files = workdir + "/all_read_filenames"
to_file(readfiles, all_read_files)
command_line = KISSPLICE_INSTDIR+"/ks_debruijn4 " + all_read_files+" "+str(kval)+" "+str(min_cov)+" "+str(genome_size)+" "+ workdir + "/graph --kissplice --4bloom"
subprocessLauncher(command_line, verbose=verbose)
shutil.move(workdir+"/graph.edges", graphfile + ".edges")
shutil.move(workdir+"/graph.nodes", graphfile + ".nodes")
shutil.move(workdir+"/graph.solid_kmers_binary_with_count", graphfile + ".solid_kmers_binary_with_count")
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
#Run error_removal for the graph (overwrite edge file)
def error_removal(KISSPLICE_INSTDIR, workdir, kval, graphfile, nobuild, cutoff, keep_counts, verbose = False):
print "\n" + getTimestamp() + "--> Removing sequencing errors..."
printlg("\n" + getTimestamp() + "--> Removing sequencing errors...")
#checks if user passed the graph for KisSplice. In this case, maybe the error_removal step is already done
if nobuild:
#checks if the file created by the error_removal step is already done
edge_suffix = "_C"+str(cutoff)+".edges"
if os.path.isfile(graphfile+edge_suffix):
print "Sequencing-errors-removal step skipped: using previously computed file "+graphfile+edge_suffix
printlg("Sequencing-errors-removal step skipped: using previously computed file "+graphfile+edge_suffix)
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
return True
#here we do not have the sequencing-error-removal file to use, try to create it
#checks if the .counts is not yet created
if os.path.isfile(graphfile+".counts") == False:
#.counts file does not exist - try to create it
if verbose:
print "File "+graphfile+".counts not found. Creating it..."
# convert binary count file to text
if os.path.isfile(graphfile+".solid_kmers_binary_with_count"):
fin = open(graphfile+".solid_kmers_binary_with_count", "rb")
kmer_nbits = struct.unpack("i",fin.read(4))[0]
k = struct.unpack("i",fin.read(4))[0]
fout = open(graphfile+".counts", "w")
try:
while True:
kmer_binary = struct.unpack('B'*(kmer_nbits / 8), fin.read( kmer_nbits / 8) )
abundance = struct.unpack( 'I', fin.read(4) ) [0]
kmer = ""
for i in xrange(k):
kmer = "ACTG"[(kmer_binary[i/4] >> (2*(i%4)) ) % 4] + kmer
print >> fout, kmer, abundance
except:
fin.close()
fout.close()
else:
print "File "+graphfile+".solid_kmers_binary_with_count not found. Skipping error removal step."
printlg("File "+graphfile+".solid_kmers_binary_with_count not found. Skipping error removal step.")
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
return False
#now the .counts file may have been created. Run the error-removal
if os.path.isfile(graphfile+".counts"):
command_line = KISSPLICE_INSTDIR+"/ks_error_removal "+graphfile+".edges "+graphfile+".nodes "+str(kval)+" "+graphfile+".counts "+str(cutoff)+" "+graphfile+"_C"+str(cutoff)
subprocessLauncher(command_line, verbose=verbose)
if keep_counts == False:
delete_counts(graphfile, verbose)
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
return True
else:
print "File "+graphfile+".counts could not be found/created. Skipping error removal step."
printlg("File "+graphfile+".counts could not be found/created. Skipping error removal step.")
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
return False
#Removes the .counts and file
def delete_counts(graphfile, verbose = False):
if os.path.isfile(graphfile+".counts"):
if verbose:
print "Removing "+graphfile+".counts"
os.remove(graphfile+".counts")
#Run the modules on the graph
def run_modules(KISSPLICE_INSTDIR, workdir, graphfile, kval, cutoff, verbose = False, output_context = False, exec_error_removal = False):
if not os.path.exists(workdir+"/bcc"):
os.mkdir(workdir+"/bcc")
print "\n" + getTimestamp() + "--> Finding the BCCs..."
printlg("\n" + getTimestamp() + "--> Finding the BCCs...")
edge_suffix = ".edges"
if exec_error_removal:
edge_suffix = "_C"+str(cutoff)+".edges"
command_line = KISSPLICE_INSTDIR+"/ks_run_modules "+graphfile+edge_suffix+" "+graphfile+".nodes "+str(kval)+" "+workdir+"/bcc/graph"
if output_context:
command_line += " --output-context"
return_code = subprocessLauncher(command_line, verbose=verbose)
if (return_code != 0):
print "\t\t *** Try increasing your stack size before running KisSplice executing: \"ulimit -s <new_limit>\" (you may first try \"ulimit -s unlimited\" if your OS accepts it. Otherwise, you can find the highest value for <new_limit> executing \"ulimit -H -s\").***\n"
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
def count_alreadyfoundSNPs(workdir):
global num_snps
info_snp_file = open(workdir+"/bcc/graph_info_snp_bcc", 'r')
info_snp = info_snp_file.readlines()
for bcc_snp in info_snp:
info = bcc_snp.split()# format: bcc_id num_snps
num_snps[info[0]] = int(info[1])
info_snp_file.close()
def find_bcc_ids_ordered_by_size(workdir, min_length = 4):
f = open( workdir+"/bcc/graph_info_bcc")
bccnum2size = f.readlines()[2:]
bccnumorderedbysize = [int(e[0])+1 for e in sorted(enumerate([int(t.split()[1]) for t in bccnum2size]), key=lambda x:x[1], reverse=True) if int(e[1]) >= min_length ]
f.close()
return (bccnum2size, bccnumorderedbysize)
def enumerate_all_bubbles(KISSPLICE_INSTDIR, workdir, outdir, kval, bval, output_snps, min_edit_dist, max_cycles, UL_MAX, LL_MAX, LL_MIN, timeout, nbprocs=1, verbose = False, output_context = False, output_path = False, output_branch_count = False, experimental = False, max_memory = 0):
print "\n" + getTimestamp() + "--> Enumerating all bubbles..."
printlg("\n" + getTimestamp() + "--> Enumerating all bubbles...")
if os.path.isfile(workdir+"/all_bcc_type0_"+str(kval)):
os.remove(workdir+"/all_bcc_type0_"+str(kval))
if os.path.isfile(workdir+"/all_bcc_type1234_"+str(kval)):
os.remove(workdir+"/all_bcc_type1234_"+str(kval))
f = open(workdir+"/bcc/graph_info_bcc")
n_bcc = int(f.readline())
f.close()
file2size = {}
# filling num_snps
count_alreadyfoundSNPs(workdir);
# ordering bcc by decreasing size and filtering if <4 nodes
bccnum2size, bccnumorderedbysize = find_bcc_ids_ordered_by_size(workdir, 4)
if verbose:
if len(bccnumorderedbysize) != len(bccnum2size):
print "Less than 4 nodes, cannot contain a bubble!"
# multiprocessing step- BEGIN
pool = multiprocessing.Pool(nbprocs)
TASKS = []
for i in bccnumorderedbysize:
TASKS += [(enumerate_bubbles_core, i, KISSPLICE_INSTDIR, workdir, outdir, kval, bval, output_snps, min_edit_dist, max_cycles, UL_MAX, LL_MAX, LL_MIN, timeout, verbose, output_context, output_path, output_branch_count, experimental, max_memory)]
imap_unordered_it = pool.imap_unordered(eval_func_tuple, TASKS, 1)
for x in imap_unordered_it:
if x != -1:
unfinished_bccs.append(x);
pool.close()
pool.join()
# multiprocessing step - END
destinationSNPS = open(workdir+"/all_bcc_type0_"+str(kval), 'wb') ## THE FILE CONTAINS SNPS
destination1234 = open(workdir+"/all_bcc_type1234_"+str(kval), 'wb') ## THE FILE CONTAINS other bcc
for file in os.listdir(workdir):
if file[0:17] == "tmp_all_bcc_type0":
shutil.copyfileobj(open(workdir+"/"+file, 'rb'), destinationSNPS)
if file[0:20] == "tmp_all_bcc_type1234":
shutil.copyfileobj(open(workdir+"/"+file, 'rb'), destination1234)
destinationSNPS.close()
destination1234.close()
if output_path:
destination_paths = open(workdir+"/all_paths_k"+str(kval), 'wb')
for file in os.listdir(workdir):
if file[0:18] == "tmp_all_paths_bcc_":
shutil.copyfileobj(open(workdir+"/"+file, 'rb'), destination_paths)
destination_paths.close()
f = open(workdir+"/all_bcc_type0_"+str(kval))
size0 = sum(1 for line in f)
f.close()
f = open(workdir+"/all_bcc_type1234_"+str(kval))
size1234 = sum(1 for line in f)
f.close()
n_bubbles = (size0 + size1234)/4
print "Total number of bubbles found: ", n_bubbles
printlg("Total number of bubbles found: ", n_bubbles)
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
def enumerate_bubbles_core(i, KISSPLICE_INSTDIR, workdir, outdir, kval, bval, output_snps, min_edit_dist, max_cycles, UL_MAX, LL_MAX, LL_MIN, timeout, verbose = False, output_context = False, output_path = False, output_branch_count = False, experimental = False, max_memory = 0):
if verbose:
print "@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@"
print "Enumerating bubbles in biconnected component "+str(i)
infofile = workdir+"/bcc/graph_info_bcc"
contents_file_edges = workdir+"/bcc/graph_contents_edges_bcc"
contents_file_nodes = workdir+"/bcc/graph_contents_nodes_bcc"
basename_edges = workdir+"/bcc/graph_all_edges_bcc"
basename_nodes = workdir+"/bcc/graph_all_nodes_bcc"
# Contains -1 if the process finished or the bcc number if it timed out.
flag = -1
# already num_snps found - it is also the starting number from enumerating cycle
num_snps_bcc = 0
if str(i) in num_snps:
num_snps_bcc = num_snps[str(i)]
command_line = KISSPLICE_INSTDIR+"/ks_bubble_enumeration "+ infofile+" "+ contents_file_edges+" "+ contents_file_nodes+" "+ basename_edges+" "+ basename_nodes\
+" "+str(i) \
+" "+str(kval)+" "+workdir+"/bcc/tmp_bcc_sequences_"+str(kval)+"_"+multiprocessing.current_process().name+" "+str(min_edit_dist) \
+" bcc_"+str(i) + " " + str(num_snps_bcc) + " -u "+str(UL_MAX) \
+" -L "+str(LL_MAX)+" -l "+str(LL_MIN)+" -M "+str(max_cycles)+" -s "+str(output_snps)
if output_context:
command_line += " -c"
if output_path:
command_line += " -p"
if bval is not None:
command_line += " -b" + str(bval)
if output_branch_count:
command_line += " -v"
if experimental:
command_line += " -e " + str(max_memory)
process_returncode = subprocessLauncher(command_line, verbose=verbose, timeout=timeout)
# Store the bcc number if it timed out (return code -15) OR the maximum number of bubbles was reached (return code 15) OR the memory limit was exceeded (return code -6)
if process_returncode == -15 or process_returncode == 15 or process_returncode == -6:
flag = i
# Always append the results if the enumeration, even when it's incomplete.
command_line_type0 = KISSPLICE_INSTDIR+"/ks_clean_duplicates " + workdir + "/bcc/tmp_bcc_sequences_" + str(kval) +"_"+multiprocessing.current_process().name+ "_type0.fa"
command_line_type1234 = KISSPLICE_INSTDIR+"/ks_clean_duplicates " + workdir + "/bcc/tmp_bcc_sequences_" + str(kval) +"_"+multiprocessing.current_process().name+ "_type1234.fa"
subprocessLauncher(command_line_type0, workdir+"/tmp_all_bcc_type0_"+str(kval)+"_"+multiprocessing.current_process().name, 'a', verbose=verbose) # append ALL BCC IN THE SAME FILE
subprocessLauncher(command_line_type1234, workdir+"/tmp_all_bcc_type1234_"+str(kval)+"_"+multiprocessing.current_process().name, 'a', verbose=verbose) # append ALL BCC IN THE SAME FILE
if output_path:
command_line = "cat "+workdir+"/bcc/tmp_bcc_sequences_" + str(kval) +"_"+multiprocessing.current_process().name+ ".path"
subprocessLauncher(command_line, workdir+"/tmp_all_paths_bcc_"+str(kval)+"_"+multiprocessing.current_process().name, 'a', verbose=verbose) # append ALL BCC IN THE SAME FILE
if verbose:
print "@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\n"
return flag
def eval_func_tuple(f_args):
return f_args[0](*f_args[1:])
def concatenate_graph_all_log_bcc_to_all_bcc_type0(workdir, kval, output_snps):
if output_snps==2: #concatenate all non-branching snps
destinationSNPS = open(workdir+"/all_bcc_type0_"+str(kval), 'ab') ## THE UNIQUE FILE ALSO CONTAINS SNPS
shutil.copyfileobj(open(workdir+"/bcc/graph_all_log_bcc", 'rb'), destinationSNPS)
destinationSNPS.close()
elif output_snps==1: #concatenate only non-branching Type-0a
destinationSNPS = open(workdir+"/all_bcc_type0_"+str(kval), 'ab') ## THE UNIQUE FILE ALSO CONTAINS SNPS
#append the Type_0a bubbles to the destinationSNPS file
snpsFile = open(workdir+"/bcc/graph_all_log_bcc", 'r')
writeLine = False
for line in snpsFile.readlines():
if writeLine == True:
destinationSNPS.write(line)
writeLine = False
else:
if ("Type_0a" in line):
destinationSNPS.write(line)
writeLine = True
else:
writeLine = False
destinationSNPS.close()
def check_read_coverage_and_sort_all_bubbles(KISSPLICE_INSTDIR, readfiles, workdir, outdir, kval, output_snps, infix_name, countsMethods, minOverlap, substitutions, verbose = False):
print "\n" + getTimestamp() + "--> Computing read coherence and coverage..."
printlg("\n" + getTimestamp() + "--> Computing read coherence and coverage...")
# Two KisSreads executions, one for type 0 one for type 1234
# Du to the k extension, anchor should be of size k+1 for SNP
if output_snps > 0:
commandLineType0 = KISSPLICE_INSTDIR+"/ks_kissreadsSNPS "+workdir+"/all_bcc_type0_"+str(kval)+" "+readfiles+" -i 5 -S 25 -O "+str(kval+minOverlap)+" -o "+ workdir+"/coherentType0.fa -u "+workdir+"/uncoherentType0.fa -d " + str(substitutions) + " -c 1 -n"
subprocessLauncher(commandLineType0, verbose=verbose)
# no n options anymore
commandLineType1234 = KISSPLICE_INSTDIR+"/ks_kissreadsSplice "+workdir+"/all_bcc_type1234_"+str(kval)+" "+readfiles+" -i 5 -k "+str(kval)+" -S 25 -O "+str(kval+minOverlap)+" -o "+workdir+"/coherentType1234.fa -u "+workdir+"/uncoherentType1234.fa -d " + str(substitutions) + " -c 1 -j " + countsMethods +" -l " + str(minOverlap)
subprocessLauncher(commandLineType1234, verbose=verbose)
commandLineCat = "cat " + workdir+"/uncoherentType1234.fa "
if output_snps > 0:
commandLineCat += workdir+"/uncoherentType0.fa "
subprocessLauncher(commandLineCat, workdir + "/uncoherent.fa", "a", verbose=verbose )
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
print getTimestamp() +"--> Sorting all bubbles..."
printlg(getTimestamp() +"--> Sorting all bubbles...")
nb = [0]*6# counter of number of events of each type found
eventsName = ["type_0a", "type_0b", "type_1", "type_2", "type_3", "type_4"]
cofilel = []
for i in range(0,6):
cofilel.append(open(outdir+"/results_"+infix_name+"_coherents_"+eventsName[i]+".fa", 'w'))
if output_snps > 0:
snpsFile = open(workdir+"/coherentType0.fa", 'r')
l = snpsFile.readlines()
l.sort( reverse = True )
snpsFile.close()
for event in l:
eventSplitted = event.split()[-1].replace(';','\n')
try:
if ("Type_0a" in eventSplitted):
cofilel[0].write(eventSplitted+"\n")#Transform to Fasta type
nb[0] += 1
else:
cofilel[1].write(eventSplitted+"\n")#Transform to Fasta type
nb[1] += 1
except:
pass
# handling coherent "other"
cofile = open(workdir+"/coherentType1234.fa", 'r')
l = cofile.readlines()
l.sort(reverse=True)
cofile.close()
retype = re.compile('Type_\d+')
for event in l:
try:
type = retype.search(event).group()
for i in range(2,6):
if (type=="Type_"+str(i-1)):
cofilel[i].write(event.split()[-1].replace(';','\n')+"\n")#Transform to Fasta type
nb[i] += 1
except:
pass
for i in range(0,6):
cofilel[i].close()
uncofile = open(workdir+"/uncoherent.fa", 'r')
uncofileout = open(outdir+"/results_"+infix_name+"_uncoherent.fa", 'w')
for event in uncofile.readlines():
uncofileout.write(event.split()[-1].replace(';','\n')+"\n")
uncofile.close()
uncofileout.close()
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
return nb
def sort_all_bubbles(KISSPLICE_INSTDIR, readfiles, workdir, outdir, kval, output_snps, infix_name, shouldDoReadCoherence, verbose = False):
print "\n" + getTimestamp() + "--> Starting Bubble Output Module"
printlg("\n" + getTimestamp() + "--> Starting Bubble Output Module")
if shouldDoReadCoherence:
outdir = outdir+"/results_without_read_coherency"
if not os.path.exists(outdir):
os.mkdir(outdir)
print "Before checking for read coherency, all bubbles will be written to folder " + outdir
printlg("Before checking for read coherency, all bubbles will be written to folder " + outdir)
print "This enables you to access them even before the read coherency module finishes, which can take a long time"
printlg("This enables you to access them even before the read coherency module finishes, which can take a long time")
print getTimestamp() + "--> Sampling bubbles by type..."
printlg(getTimestamp() + "--> Sampling bubbles by type...")
concatenate_graph_all_log_bcc_to_all_bcc_type0(workdir, kval, output_snps)
retype = re.compile('Type_\d+')
eventsName = ["type_0a", "type_0b", "type_1", "type_2", "type_3", "type_4"]
filel = []
for i in range(0,6):
filel.append(open(outdir+"/results_"+infix_name+"_"+eventsName[i]+".fa", 'w'))
nb = [0]*6
if output_snps > 0:
snpsFile = open(workdir+"/all_bcc_type0_"+str(kval), 'r')
for line in snpsFile.readlines():
if "Type_0a" in line:
ofile = filel[0]
nb[0] += 1
elif "Type_0b" in line:
ofile = filel[1]
nb[1] += 1
ofile.write(line)
snpsFile.close()
# handling the other type
cfile = open(workdir+"/all_bcc_type1234_"+str(kval), 'r')
for line in cfile.readlines():
try:
type = retype.search(line).group()
for i in range(1,5):
if (type=="Type_"+str(i)):
ofile = filel[i+1]
nb[i+1] += 1
except:
pass
ofile.write(line)
cfile.close()
for i in range(0,6):
nb[i] /= 2
filel[i].close()
print getTimestamp() + "--> Done!"
printlg(getTimestamp() + "--> Done!")
print "You can now access all bubbles without read coherency in: " + outdir
printlg("You can now access all bubbles without read coherency in: " + outdir)
return nb
def save_bccs_from_list(bcc_list, dir_name, KISSPLICE_INSTDIR, workdir, outdir, verbose = False):
if not os.path.exists(outdir + dir_name):
os.mkdir(outdir + dir_name)
infofile = workdir+"/bcc/graph_info_bcc"
contents_file_edges = workdir+"/bcc/graph_contents_edges_bcc"
contents_file_nodes = workdir+"/bcc/graph_contents_nodes_bcc"
basename_edges = workdir+"/bcc/graph_all_edges_bcc"
basename_nodes = workdir+"/bcc/graph_all_nodes_bcc"
for i in bcc_list:
command_line = KISSPLICE_INSTDIR+"/ks_print_bcc "+ infofile+" "+ contents_file_edges+" "+ contents_file_nodes+" "+ basename_edges+" "+ basename_nodes\
+" "+str(i)+" "\
+ outdir+ dir_name + "/graph_bcc_"+str(i)+".edges "\
+ outdir+ dir_name + "/graph_bcc_"+str(i)+".nodes"
subprocessLauncher(command_line, verbose=verbose)
def check_read_files(readfiles):
if readfiles is None:
return True
allFilesAreOK = True
for file in readfiles:
if not os.path.isfile(file):
print "[ERROR] File \""+file+"\" does not exist."
allFilesAreOK = False
if not allFilesAreOK:
dieToFatalError("One or more read files do not exist.")
def dieToFatalError (msg):
print "[FATAL ERROR] " + msg
print "Try `kissplice --help` for more information"
global logFileName
os.remove(logFileName)
sys.exit(1);
# ############################################################################
# Main
# ############################################################################
def main():
# @variable KISSPLICE_INSTDIR : Path to the main executable (this file)
# This variable is initialized from CMAKE to customize this script
# according to the install configuration.
# @variable KS_SEC_EXEC_PATH : Path to the secondary executables (eg ks_kissreads)
KISSPLICE_INSTDIR = os.path.dirname(os.path.abspath(sys.argv[0])).rstrip('/')
KS_SEC_EXEC_PATH = KISSPLICE_INSTDIR.rsplit('/',1)[0]+'/lib//kissplice'
print "KISSPLICE_INSTDIR: "+KISSPLICE_INSTDIR
print "KS_SEC_EXEC_PATH: "+KS_SEC_EXEC_PATH
# ========================================================================
# Manage command line arguments
# ========================================================================
parser = argparse.ArgumentParser(description='kisSplice - local assembly of SNPs, indels and AS events')
# ------------------------------------------------------------------------
# Define allowed options
# ------------------------------------------------------------------------
parser.add_argument("-r", action="append", dest="readfiles",
help="input fasta/q read files or compressed (.gz) fasta/q files (mutiple, such as \"-r file1 -r file2...\") ")
parser.add_argument('-k', action="store", dest="kval", type=int, default=41,
help="k-mer size (default=41)")
parser.add_argument('-b', action="store", dest="bval", type=int, default=5, help="maximum number of branching nodes (default 5)")
parser.add_argument('-l', action="store", dest="llmax", type=int, default=0,
help="maximal length of the shorter path (default: 2k+1)")
parser.add_argument('-m', action = "store", dest = "LL_MIN", default = 0, help = "minimum length of the shorter path (default 2k-8)")
parser.add_argument('-M', action = "store", dest = "UL_MAX", default = 1000000, help = "maximum length of the longest path (default 1000000), skipped exons longer than UL_MAX are not reported")
parser.add_argument('-g', action="store", dest="graph_prefix", default="",
help="path and prefix to pre-built de Bruijn graph (suffixed by .edges/.nodes)\n \
if jointly used with -r, graph used to find bubbles and reads used for quantification")
parser.add_argument('-o', action="store", dest="out_dir", default="results",
help="path to store the results and the summary log file (default = ./results)")
parser.add_argument('-d', action="store", dest="path_to_tmp", default=None,
help="specific directory (absolute path) where to build temporary files (default temporary directory otherwise)")
parser.add_argument('-t', action="store", dest="nbprocs", type=int, default=1,
help="number of cores (must be <= number of physical cores)")
parser.add_argument('-s', action="store", dest="output_snps", default = "0", help="0, 1 or 2. Changes which types of SNPs will be output. If 0 (default), will not output SNPs. If 1, will output Type0a-SNPs. If 2, will output Type0a and Type0b SNPs (warning: this option may increase a lot the running time. You might also want to try the experimental algorithm here)")
parser.add_argument('-v', action="store_true", dest="verbose", help="Verbose mode")
parser.add_argument('-u', action="store_true", dest="keep_ubccs", help="keep the nodes/edges file for unfinished bccs")
parser.add_argument('-c', action = "store", dest = "min_cov", default = 2, help="an integer, k-mers present strictly less than this number of times in the dataset will be discarded (default 2)")
parser.add_argument('-C', action = "store", dest = "min_relative_cov", default = 0.05, help="a percentage from [0,1), edges with relative coverage below this number are removed (default 0.05)")
parser.add_argument('-z', action="store", dest="genome_size", type=int, default=1000000000,
help="estimated genome/transcriptome size (default = 1G)")
parser.add_argument('-e', action = "store", dest = "min_edit_dist", default = 3,
help="edit distance threshold, if the two sequences (paths) of a bubble have edit distance smaller than this threshold, the bubble is classified as an inexact repeat (default 3)")
parser.add_argument('-y', action = "store", dest = "max_cycles", default = 100000000,
help="maximal number of bubbles enumeration in each bcc. If exceeded, no bubble is output for the bcc (default 100M)")
parser.add_argument('--mismatches', action = "store", dest = "mism", default = 0, type = int,
help="Maximal number of substitutions authorized between a read and a fragment (for quantification only), default 0. If you increase the mismatch and use --counts think of increasing min_overlap too.")
parser.add_argument('--counts', action = "store", dest = "countsMethod", default = "0", help="0,1 or 2 . Changes how the counts will be reported. If 0 (default): total counts, if 1: counts on junctions, if 2: all counts. see User guide for more information ")
parser.add_argument('--min_overlap', action = "store", dest = "minOverlap", default = 3, type=int, help="Set how many nt must overlap a junction to be counted by --counts option. Default=3. see User guide for more information ")
parser.add_argument('--timeout', action='store', dest="timeout", default=TIMEOUT,
help="max amount of time (in seconds) spent for enumerating bubbles in each bcc. If exceeded, no bubble is output for the bcc (default "+str(TIMEOUT)+")")
parser.add_argument('--version', action='version', version='%(prog)s 2.4.0-p1')
parser.add_argument('--output-context', action="store_true", dest="output_context", default = False, help="Will output the maximum non-ambiguous context of a bubble")
parser.add_argument('--output-path', action="store_true", dest="output_path", default = False, help="Will output the id of the nodes composing the two paths of the bubbles.")
parser.add_argument('--output-branch-count', action="store_true", dest="output_branch_count", default = False, help="Will output the number of branching nodes in each path.")
parser.add_argument('--keep-bccs', action="store_true", dest="keep_all_bccs", default = False, help="Keep the node/edges files for all bccs.")
parser.add_argument('--experimental', action="store_true", dest="experimental", default = False, help="Uses a new experimental algorithm that searches for bubbles by listing all paths.")
parser.add_argument('--max-memory', action="store", dest="max_memory", default="unlimited",
help="If you use the experimental algorithm, you must provide the maximum size of the process's virtual memory (address space) in megabytes (default unlimited). WARNING: this option does not work on Mac operating systems.")
parser.add_argument('--keep-counts', action="store_true", dest="keep_counts", default = False, help="Keep the .counts file after the sequencing-errors-removal step.")
# ------------------------------------------------------------------------
# Parse and interpret command line arguments
# ------------------------------------------------------------------------
options = parser.parse_args()
# ------------------------------------------------------------------------
# Create output dir
# ------------------------------------------------------------------------
outdir = options.out_dir
if not os.path.exists(outdir):
os.mkdir(outdir)
# ------------------------------------------------------------------------
# Create the log file
# ------------------------------------------------------------------------
global logFile, logFileName
logFileName = outdir+"/kissplice_log_summary_"+time.strftime("%H-%M-%S")+"_"+time.strftime("%d-%m-%Y")+"_"+str(randint(0, 1000000))
logFile = open(logFileName, 'w')
# ------------------------------------------------------------------------
# Print version and command line
# ------------------------------------------------------------------------
print "\nThis is KisSplice, version 2.4.0-p1\n"
printlg("This is KisSplice, version 2.4.0-p1\n")
print "The command line was: " + ' '.join(sys.argv)
printlg("The command line was: " + ' '.join(sys.argv))
# ------------------------------------------------------------------------
# Parse input options
# ------------------------------------------------------------------------
# check if the given read files indeed exist
check_read_files(options.readfiles)
readfiles = None
only_graph = False
if options.readfiles:
if options.graph_prefix: # GRAPH + READS
print "-r and -g options used together: "
printlg("-r and -g options used together: ")
print "the graph will be used to find events, while reads files are used for checking read-coherency and coverage"
printlg("the graph will be used to find events, while reads files are used for checking read-coherency and coverage")
readfiles = ' '.join(map(str, options.readfiles))
else:
if not options.graph_prefix:
parser.print_usage()
dieToFatalError("kissplice requires at least a read file or a pre-built graph")
else: # GRAPH
only_graph = True
nobuild = False
if options.graph_prefix:
nobuild = True
# --------------------------------------------------------- Output options
output_snps = (int)(options.output_snps)
if output_snps<0 or output_snps>2:
print "-s is not 0, 1 or 2. Defaulting to 0."
printlg("-s is not 0, 1 or 2. Defaulting to 0.")
output_snps = 0
print "Using the read files: ", readfiles
printlg("Using the read files: ", readfiles)
print "Results will be stored in: ", os.path.abspath(options.out_dir)
printlg("Results will be stored in: ", os.path.abspath(options.out_dir))
print "Summary log file will be saved in: ", os.path.abspath(logFileName)
printlg("Summary log file will be saved in: ", os.path.abspath(logFileName))
print "\n"
printlg("\n")
# ------------------------------------------------------------- k-mer size
kval = options.kval
if kval%2 == 0:
dieToFatalError("please use only odd value for k") #otherwise, DBG use k-1 and output context do not work
# ------------------------------------- Maximal length of the shorter path
if options.llmax != 0:
LL_MAX = options.llmax
else:
LL_MAX = 2 * kval + 1
# The following are not optional but work along with llmax
UL_MAX = options.UL_MAX # Defines maximum upper and lower path bounds
if options.LL_MIN != 0:
LL_MIN= options.LL_MIN
else:
LL_MIN = 2 * kval - 8
min_ll_max = 2 * kval + 1
if LL_MAX < min_ll_max:
dieToFatalError("maximal length of the shorter path (" + str(LL_MAX) + ") should be >= 2k+1 =" + str(min_ll_max) + ")")
#-------------------------------- fix LL_MIN, LL_MAX and UL_MAX --------------------------------------
LL_MIN = int(LL_MIN)-2
LL_MAX = int(LL_MAX)-2
UL_MAX = int(UL_MAX)-2
# ------------------------------------------------------- Other parameters
min_cov = options.min_cov
min_edit_dist = options.min_edit_dist
max_cycles = options.max_cycles
countsMethod = options.countsMethod
minOverlap = options.minOverlap
# ========================================================================
# Construct intermediate and output file names
# ========================================================================
workdir = mkdirTmp(options.path_to_tmp)
infix_name = "" # will be the central part of the output file names
if options.graph_prefix:
graphfile = options.graph_prefix
if options.readfiles:
for file in options.readfiles:
justfilename = file.split("/")[-1].split(".")[0] #remove what is before the "/" and what is after the "."
infix_name += justfilename+"_"
infix_name = infix_name[0:200] # Truncate it to contain at most 200 characteres
infix_name += "k" + str(kval)
if not options.graph_prefix:
graphfile = options.out_dir+"/graph_"+infix_name # Output graph file
else:
infix_name = graphfile.split("/")[-1].split(".")[0] #remove what is before the "/" and what is after the "."
# ========================================================================
# RUN
# ========================================================================
# ------------------------------------------------------------------------
# Build De Bruijn Graph
# ------------------------------------------------------------------------
if not nobuild:
t = time.time()
build_graph(KS_SEC_EXEC_PATH, workdir, readfiles, kval, graphfile, min_cov, options.genome_size, options.verbose)
print "Elapsed time: ", (time.time() - t), " seconds"
printlg("Elapsed time: ", (time.time() - t), " seconds")
# ------------------------------------------------------------------------
# Error removal
# ------------------------------------------------------------------------
t = time.time()
if float(options.min_relative_cov) > 0.0001:
exec_error_removal = error_removal(KS_SEC_EXEC_PATH, workdir, kval, graphfile, nobuild, options.min_relative_cov, options.keep_counts, options.verbose)
else:
exec_error_removal = False
print "Elapsed time: ", (time.time() - t), " seconds"
printlg("Elapsed time: ", (time.time() - t), " seconds")
# ------------------------------------------------------------------------
# Decompose and simplify DBG
# ------------------------------------------------------------------------
t = time.time()
run_modules(KS_SEC_EXEC_PATH, workdir, graphfile, kval, options.min_relative_cov, options.verbose, options.output_context, exec_error_removal)
print "Elapsed time: ", (time.time() - t), " seconds"
printlg("Elapsed time: ", (time.time() - t), " seconds")
# ------------------------------------------------------------------------
# Enumerate Bubbles
# ------------------------------------------------------------------------
t = time.time()
enumerate_all_bubbles(KS_SEC_EXEC_PATH, workdir, outdir, kval, options.bval, output_snps, min_edit_dist, max_cycles, \
UL_MAX, LL_MAX, LL_MIN, float(options.timeout), options.nbprocs, options.verbose, \
options.output_context, options.output_path, options.output_branch_count, options.experimental, options.max_memory)
print "Elapsed time: ", (time.time() - t), " seconds"
printlg("Elapsed time: ", (time.time() - t), " seconds")
# ------------------------------------------------------------------------
# Check read coverage (optionnal) and sort bubbles
# ------------------------------------------------------------------------
t = time.time()
nb = sort_all_bubbles(KS_SEC_EXEC_PATH, readfiles, workdir, outdir, kval, output_snps, infix_name, not only_graph, options.verbose)
if not only_graph:
nb = check_read_coverage_and_sort_all_bubbles(KS_SEC_EXEC_PATH, readfiles, workdir, outdir, kval, output_snps, infix_name, countsMethod, minOverlap, options.mism, options.verbose)
print "Elapsed time: ", (time.time() - t), " seconds\n"
printlg("Elapsed time: ", (time.time() - t), " seconds\n")
if only_graph:
print "\n\n \t\t ******** We are done, final results are in files "+outdir+"/results_"+infix_name+"_type_*.fa **********"
printlg("\n\n \t\t ******** We are done, final results are in files "+outdir+"/results_"+infix_name+"_type_*.fa **********")
else:
print "\n\n \t\t ******** We are done, final coherent results are in files "+outdir+"/results_"+infix_name+"_coherents_type_*.fa ********** "
printlg("\n\n \t\t ******** We are done, final coherent results are in files "+outdir+"/results_"+infix_name+"_coherents_type_*.fa ********** ")
print " \t\t ******** All non read coherent results are in files "+outdir+"/results_"+infix_name+"_uncoherent.fa ****** \n\n"
printlg(" \t\t ******** All non read coherent results are in files "+outdir+"/results_"+infix_name+"_uncoherent.fa ****** \n\n")
# ------------------------------------------------------------------------
# Manage BCCs
# ------------------------------------------------------------------------
if len(unfinished_bccs) != 0:
print "\t\t ******** There were " + str(len(unfinished_bccs)) + " BCCs with unfinished enumeration ********"
printlg("\t\t ******** There were " + str(len(unfinished_bccs)) + " BCCs with unfinished enumeration ********")
if not options.keep_ubccs and not options.keep_all_bccs:
print "\t\t ******** Re-run with `-u` to retrieve the unfinished components ********\n"
printlg("\t\t ******** Re-run with `-u` to retrieve the unfinished components ********\n")
if options.keep_ubccs:
bcc_dir = "/unfinished_bcc"
print "\t\t Backup files for the unfinished BCCs are in " + outdir + bcc_dir + "\n"
printlg("\t\t Backup files for the unfinished BCCs are in " + outdir + bcc_dir + "\n")
save_bccs_from_list(unfinished_bccs, bcc_dir, KS_SEC_EXEC_PATH, workdir, outdir, options.verbose)
if options.keep_all_bccs:
bcc_dir = "/bcc"
print "\t\t Edge and node files of all BCCs are in " + outdir + bcc_dir + "\n"
printlg("\t\t Edge and node files of all BCCs are in " + outdir + bcc_dir + "\n")
all_bccs = find_bcc_ids_ordered_by_size(workdir)[1]
save_bccs_from_list(all_bccs, bcc_dir, KS_SEC_EXEC_PATH, workdir, outdir, options.verbose)
if options.output_path: # move paths file to outdir
shutil.move(workdir+"/all_paths_k"+str(kval), outdir + "/all_paths_k"+str(kval))
# ------------------------------------------------------------------------
# Output number of events of each type
# ------------------------------------------------------------------------
print "\t\t TYPES:"
printlg("\t\t TYPES:")
if output_snps!=0:
print "\t\t\t 0a: Single SNPs, Inexact Repeats or sequencing substitution errors, "+str(nb[0])+" found"
printlg("\t\t\t 0a: Single SNPs, Inexact Repeats or sequencing substitution errors, "+str(nb[0])+" found")
if output_snps==2:
print "\t\t\t 0b: Multiple SNPs, Inexact Repeats or sequencing substitution errors, "+str(nb[1])+" found"
printlg("\t\t\t 0b: Multiple SNPs, Inexact Repeats or sequencing substitution errors, "+str(nb[1])+" found")
else:
print "\t\t\t 0b: Run with -s 2 to also search for Multiple SNPs (warning: this option may increase a lot the running time. You might also want to try the experimental algorithm here)"
printlg("\t\t\t 0b: Run with -s 2 to also search for Multiple SNPs (warning: this option may increase a lot the running time. You might also want to try the experimental algorithm here)")
else:
print "\t\t\t 0: Run with -s option set to 1 or 2 to also search for SNPs"
printlg("\t\t\t 0: Run with -s option set to 1 or 2 to also search for SNPs")
print "\t\t\t 1: Alternative Splicing Events, "+str(nb[2])+" found"
printlg("\t\t\t 1: Alternative Splicing Events, "+str(nb[2])+" found")
print "\t\t\t 2: Inexact Tandem Repeats, "+str(nb[3])+" found"
printlg("\t\t\t 2: Inexact Tandem Repeats, "+str(nb[3])+" found")
print "\t\t\t 3: Short Indels (<3nt), "+str(nb[4])+" found"
printlg("\t\t\t 3: Short Indels (<3nt), "+str(nb[4])+" found")
print "\t\t\t 4: All others, composed by a shorter path of length > 2k not being a SNP, "+str(nb[5])+" found"
printlg("\t\t\t 4: All others, composed by a shorter path of length > 2k not being a SNP, "+str(nb[5])+" found")
print "\n\n \t\t ******** A summary of the execution can be found in the log file: " + os.path.abspath(logFileName) + "**********"
printlg("\n\n \t\t ******** A summary of the execution can be found in the log file: " + os.path.abspath(logFileName) + "**********")
# ------------------------------------------------------------------------
# Clean tmp directory
# ------------------------------------------------------------------------
logFile.close()
cleanTmp(workdir)
if __name__ == '__main__':
main()
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