def main(args):
args = parse_args()
# make directory to put temporary files
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "npParamEstimation")
fast5s = [x for x in os.listdir(args.files_dir) if x.endswith(".fast5")]
if len(fast5s) > args.nb_files:
shuffle(fast5s)
fast5s = fast5s[:args.nb_files]
for fast5 in fast5s:
#estimate_params(fast5=args.files_dir + fast5, working_folder=temp_folder, bwa_index=bwa_ref_index,
# forward_reference_path=plus_strand_sequence, backward_reference_path=minus_strand_sequence,
# threshold=args.threshold)
estimate_params(fast5=args.files_dir + fast5, working_folder=temp_folder)
temp_folder.remove_folder()
return
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line),
file=sys.stderr)
start_message = """
# Starting Signal Align
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: True
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(fileDir=args.files_dir,
reference=args.ref,
nbFiles=args.nb_files,
inThmm=args.in_T_Hmm,
inChmm=args.in_C_Hmm,
model=args.stateMachineType,
regions=args.target_regions,
tHdp=args.templateHDP,
cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
if args.files_dir is None and args.fofn is None:
print("Need to provide directory with .fast5 files of fofn",
file=sys.stderr)
sys.exit(1)
if not os.path.isfile(args.ref):
print("Did not find valid reference file, looked for it {here}".format(
here=args.ref),
file=sys.stderr)
sys.exit(1)
# make directory to put temporary files
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_alignment")
reference_map = process_reference_fasta(fasta=args.ref,
motif_key=args.motif_key,
work_folder=temp_folder,
sub_char=args.ambig_char)
# index the reference for bwa
if args.bwt is not None:
print("signalAlign - using provided BWT %s" % args.bwt)
bwa_ref_index = args.bwt
else:
print("signalAlign - indexing reference", file=sys.stderr)
bwa_ref_index = get_bwa_index(args.ref, temp_dir_path)
print("signalAlign - indexing reference, done", file=sys.stderr)
# parse the target regions, if provided
if args.target_regions is not None:
target_regions = TargetRegions(args.target_regions)
else:
target_regions = None
# setup workers for multiprocessing
workers = args.nb_jobs
work_queue = Manager().Queue()
done_queue = Manager().Queue()
jobs = []
# list of read files
if args.fofn is not None:
fast5s = [x for x in parse_fofn(args.fofn) if x.endswith(".fast5")]
else:
fast5s = [
args.files_dir + x for x in os.listdir(args.files_dir)
if x.endswith(".fast5")
]
nb_files = args.nb_files
if nb_files < len(fast5s):
shuffle(fast5s)
fast5s = fast5s[:nb_files]
print("[runSignalAlign]:NOTICE: Got {} files to align".format(len(fast5s)),
file=sys.stdout)
for fast5 in fast5s:
alignment_args = {
"reference_map": reference_map,
"path_to_EC_refs": None, # TODO refactor this out!
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"output_format": args.outFmt,
"in_fast5": fast5,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": target_regions,
"degenerate": degenerate_enum(args.degenerate),
"twoD_chemistry": args.twoD,
}
#alignment = SignalAlignment(**alignment_args)
#alignment.run()
work_queue.put(alignment_args)
for w in xrange(workers):
p = Process(target=aligner, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# signalAlign - finished alignments\n", file=sys.stderr)
print("\n# signalAlign - finished alignments\n", file=sys.stdout)
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line), file=sys.stderr)
start_message = """
# Starting Empire Error-Correction
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: {banding}
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(fileDir=args.files_dir, reference=args.ref, nbFiles=args.nb_files, banding=args.banded,
inThmm=args.in_T_Hmm, inChmm=args.in_C_Hmm, model=args.stateMachineType, regions=args.target_regions,
tHdp=args.templateHDP, cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_errorCorrection")
reference_sequence = args.ref
for cycle in range(0, args.cycles):
check, reference_sequence_length = write_degenerate_reference_set(input_fasta=reference_sequence,
out_path=temp_dir_path, step=STEP)
assert check, "Problem making degenerate reference sequence set"
# index the reference for bwa
print("signalAlign - indexing reference", file=sys.stderr)
bwa_ref_index = get_bwa_index(reference_sequence, temp_dir_path)
print("signalAlign - indexing reference, done", file=sys.stderr)
# setup workers for multiprocessing
workers = args.nb_jobs
work_queue = Manager().Queue()
done_queue = Manager().Queue()
jobs = []
# list of alignment files
fast5s = [x for x in os.listdir(args.files_dir) if x.endswith(".fast5")]
# take only some
if args.nb_files < len(fast5s):
shuffle(fast5s)
fast5s = fast5s[:args.nb_files]
for fast5 in fast5s:
alignment_args = {
"forward_reference": None,
"backward_reference": None,
"path_to_EC_refs": temp_dir_path,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": args.banded,
"sparse_output": True,
"in_fast5": args.files_dir + fast5,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": None,
"degenerate": degenerate_enum(args.degenerate),
}
#alignment = SignalAlignment(**alignment_args)
#alignment.run()
work_queue.put(alignment_args)
for w in xrange(workers):
p = Process(target=aligner, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# signalAlign - finished alignments\n", file=sys.stderr)
print("\n# signalAlign - finished alignments\n", file=sys.stdout)
# working sequence is a string, that has the reference we're going to update this cycle
working_sequence = get_first_sequence(reference_sequence)
# register is the relative position that is being N-ed:
# ACGTAGACAATA --> NCGTAGNCAATA = register 0
# ACGTAGACAATA --> ANGTAGANAATA = register 1 ...
for register in range(0, STEP):
print("# Starting Variant Calling, register: {}...".format(register), file=sys.stdout, end='\n')
print("# Starting Variant Calling, register: {}...".format(register), file=sys.stderr, end='')
# cull the alignment files for this register
alns, forward_mask = get_alignments_labels_and_mask(
path_to_alignments=temp_dir_path + "*.tsv.{}".format(register),
max=args.nb_files,
suffix=".{}".format(register)
)
# this is the list of positions that we're going to look at, based on this register
degenerate_positions = {'forward': range(register, reference_sequence_length, STEP),
'backward': range(register, reference_sequence_length, STEP)
}
# place to put the marginal probs
variant_call_file = temp_folder.add_file_path("variants.{cycle}.{reg}.calls".format(cycle=cycle,
reg=register))
# arguments for multiprocessing
for aln, forward_bool in zip(alns, forward_mask):
call_methyl_args = {
"sequence": None,
"alignment_file": aln,
"forward": forward_bool,
"out_file": variant_call_file,
"positions": degenerate_positions,
"degenerate_type": degenerate_enum(args.degenerate),
}
#c = CallMethylation(**call_methyl_args)
#c.write()
work_queue.put(call_methyl_args)
for w in xrange(workers):
p = Process(target=run_methyl_caller, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
# this is where the per-register update happens
working_sequence = update_reference(variant_call_file, working_sequence, register,
min_depth=0, get_sites=False)
# remove alignments for this register
for f in glob.glob(temp_dir_path + "*.tsv.{}".format(register)):
os.remove(f)
print("done", file=sys.stdout, end="\n")
print("done", file=sys.stderr, end="\n")
# add a file for this cycle
ref_path = temp_folder.add_file_path("iteration.{cycle}.fa".format(cycle=cycle))
# write it to a file
write_fasta("iteration.{cycle}.fa".format(cycle=cycle), working_sequence, open(ref_path, 'w'))
# update the path to the reference for the next cycle
reference_sequence = ref_path
return
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line), file=sys.stderr)
start_message = """
# Starting Jamison Error-Correction
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: {banding}
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
# Performing {cycles} cycles
""".format(fileDir=args.files_dir, reference=args.ref, nbFiles=args.nb_files, banding=args.banded,
inThmm=args.in_T_Hmm, inChmm=args.in_C_Hmm, model=args.stateMachineType, regions=args.target_regions,
tHdp=args.templateHDP, cHdp=args.complementHDP, cycles=args.cycles)
print(start_message, file=sys.stdout)
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_errorCorrection")
# initialize to input fasta
reference_sequence_path = args.ref
# list of alignment files
fast5s = cull_fast5_files(args.files_dir, args.nb_files)
for cycle in range(0, args.cycles):
# index the reference for bwa this is a string with the path to the index
bwa_ref_index = get_bwa_index(reference_sequence_path, temp_dir_path)
# unpack the reference sequence
reference_sequence_string = get_first_sequence(reference_sequence_path)
alignment_args = {
"path_to_EC_refs": None,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": args.banded,
"sparse_output": True,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": None,
"degenerate": degenerate_enum(args.degenerate),
}
proposals = scan_for_proposals(temp_folder, STEP, reference_sequence_string, fast5s, alignment_args,
args.nb_jobs)
proposals = group_sites_in_window(proposals, 6)
print("Cycle {cycle} - Got {nb} sites to check: {sites}".format(nb=len(proposals),
sites=proposals,
cycle=cycle))
updated_reference_string = update_reference_with_marginal_probs(temp_folder, proposals,
reference_sequence_string, fast5s,
alignment_args, args.nb_jobs)
updated_reference_path = temp_folder.add_file_path("cycle_snapshot.{cycle}.fa".format(cycle=cycle))
write_fasta("jamison{}".format(cycle), updated_reference_string, open(updated_reference_path, 'w'))
reference_sequence_path = updated_reference_path
# copy final file
copyfile(reference_sequence_path, temp_dir_path + args.corrected)
return
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line), file=sys.stderr)
start_message = """
# Starting Signal Align
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: True
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(fileDir=args.files_dir, reference=args.ref, nbFiles=args.nb_files,
inThmm=args.in_T_Hmm, inChmm=args.in_C_Hmm, model=args.stateMachineType, regions=args.target_regions,
tHdp=args.templateHDP, cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
if args.files_dir is None and args.fofn is None:
print("Need to provide directory with .fast5 files of fofn", file=sys.stderr)
sys.exit(1)
if not os.path.isfile(args.ref):
print("Did not find valid reference file, looked for it {here}".format(here=args.ref), file=sys.stderr)
sys.exit(1)
# make directory to put temporary files
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_alignment")
reference_map = process_reference_fasta(fasta=args.ref,
motif_key=args.motif_key,
work_folder=temp_folder,
sub_char=args.ambig_char)
# index the reference for bwa
if args.bwt is not None:
print("signalAlign - using provided BWT %s" % args.bwt)
bwa_ref_index = args.bwt
else:
print("signalAlign - indexing reference", file=sys.stderr)
bwa_ref_index = get_bwa_index(args.ref, temp_dir_path)
print("signalAlign - indexing reference, done", file=sys.stderr)
# parse the target regions, if provided
if args.target_regions is not None:
target_regions = TargetRegions(args.target_regions)
else:
target_regions = None
# setup workers for multiprocessing
workers = args.nb_jobs
work_queue = Manager().Queue()
done_queue = Manager().Queue()
jobs = []
# list of read files
if args.fofn is not None:
fast5s = [x for x in parse_fofn(args.fofn) if x.endswith(".fast5")]
else:
fast5s = [args.files_dir + x for x in os.listdir(args.files_dir) if x.endswith(".fast5")]
nb_files = args.nb_files
if nb_files < len(fast5s):
shuffle(fast5s)
fast5s = fast5s[:nb_files]
print("[runSignalAlign]:NOTICE: Got {} files to align".format(len(fast5s)), file=sys.stdout)
for fast5 in fast5s:
alignment_args = {
"reference_map": reference_map,
"path_to_EC_refs": None, # TODO refactor this out!
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"output_format": args.outFmt,
"in_fast5": fast5,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": target_regions,
"degenerate": degenerate_enum(args.degenerate),
"twoD_chemistry": args.twoD,
}
#alignment = SignalAlignment(**alignment_args)
#alignment.run()
work_queue.put(alignment_args)
for w in xrange(workers):
p = Process(target=aligner, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# signalAlign - finished alignments\n", file=sys.stderr)
print("\n# signalAlign - finished alignments\n", file=sys.stdout)
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line),
file=sys.stderr)
start_message = """
# Starting Signal Align
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: True
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(
fileDir=args.files_dir,
reference=args.ref,
nbFiles=args.nb_files, #banding=args.banded,
inThmm=args.in_T_Hmm,
inChmm=args.in_C_Hmm,
model=args.stateMachineType,
regions=args.target_regions,
tHdp=args.templateHDP,
cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
if args.files_dir is None and args.fofn is None:
print("Need to provide directory with .fast5 files of fofn",
file=sys.stderr)
sys.exit(1)
if not os.path.isfile(args.ref):
print("Did not find valid reference file, looked for it {here}".format(
here=args.ref),
file=sys.stderr)
sys.exit(1)
# make directory to put temporary files
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_alignment")
if args.error_correct is True:
print(
"[runSignalAlign]:ERROR: Error correction not implemented, yet\n",
file=sys.stderr)
sys.exit(1)
#write_degenerate_reference_set(input_fasta=args.ref, out_path=temp_dir_path)
#plus_strand_sequence = None
#minus_strand_sequence = None
else:
# parse the substitution file, if given
plus_strand_sequence = temp_folder.add_file_path(
"forward_reference.txt")
minus_strand_sequence = temp_folder.add_file_path(
"backward_reference.txt")
if args.substitution_file is not None:
add_ambiguity_chars_to_reference(
input_fasta=args.ref,
substitution_file=args.substitution_file,
sequence_outfile=plus_strand_sequence,
rc_sequence_outfile=minus_strand_sequence,
degenerate_type=args.degenerate,
sub_char=args.ambig_char)
else:
make_temp_sequence(fasta=args.ref,
sequence_outfile=plus_strand_sequence,
rc_sequence_outfile=minus_strand_sequence)
# index the reference for bwa
print("signalAlign - indexing reference", file=sys.stderr)
bwa_ref_index = get_bwa_index(args.ref, temp_dir_path)
print("signalAlign - indexing reference, done", file=sys.stderr)
# parse the target regions, if provided
# TODO make this the same as the 'labels' file
if args.target_regions is not None:
target_regions = TargetRegions(args.target_regions)
else:
target_regions = None
# setup workers for multiprocessing
workers = args.nb_jobs
work_queue = Manager().Queue()
done_queue = Manager().Queue()
jobs = []
# list of read files
if args.fofn is not None:
fast5s = [x for x in parse_fofn(args.fofn) if x.endswith(".fast5")]
else:
fast5s = [
args.files_dir + x for x in os.listdir(args.files_dir)
if x.endswith(".fast5")
]
nb_files = args.nb_files
if nb_files < len(fast5s):
shuffle(fast5s)
fast5s = fast5s[:nb_files]
print("[runSignalAlign]:NOTICE: Got {} files to align".format(len(fast5s)),
file=sys.stdout)
for fast5 in fast5s:
alignment_args = {
"forward_reference": plus_strand_sequence,
"backward_reference": minus_strand_sequence,
"path_to_EC_refs": (temp_dir_path if args.error_correct else None),
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": True, #args.banded,
"output_format": args.outFmt,
#"in_fast5": args.files_dir + fast5,
"in_fast5": fast5,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": target_regions,
"degenerate": degenerate_enum(args.degenerate),
}
#alignment = SignalAlignment(**alignment_args)
#alignment.run()
work_queue.put(alignment_args)
for w in xrange(workers):
p = Process(target=aligner, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# signalAlign - finished alignments\n", file=sys.stderr)
print("\n# signalAlign - finished alignments\n", file=sys.stdout)
if args.outFmt == "variantCaller":
concat_variant_call_files(temp_dir_path)
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line),
file=sys.stderr)
start_message = """
# Starting BonnyDoon Error-Correction
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: {banding}
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(fileDir=args.files_dir,
reference=args.ref,
nbFiles=args.nb_files,
banding=args.banded,
inThmm=args.in_T_Hmm,
inChmm=args.in_C_Hmm,
model=args.stateMachineType,
regions=args.target_regions,
tHdp=args.templateHDP,
cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
# cull the MinION files
fast5s = cull_fast5_files(args.files_dir, args.nb_files)
# get the (input) reference sequence
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
reference_sequence_path = args.ref
# unpack the reference sequence
reference_sequence_string = get_first_sequence(reference_sequence_path)
# make a working folder in the specified directory
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out +
"tempFiles_errorCorrection")
# index the reference for bwa this is a string with the path to the index
bwa_ref_index = get_bwa_index(reference_sequence_path, temp_dir_path)
# alignment args are the parameters to the HMM/HDP model, and don't change
alignment_args = {
"path_to_EC_refs": None,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": args.banded,
"sparse_output": True,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": None,
"degenerate": degenerate_enum(args.degenerate),
}
# get the sites that have proposed edits
proposals = scan_for_proposals(temp_folder, STEP,
reference_sequence_string, fast5s,
alignment_args, args.nb_jobs)
proposals = group_sites_in_window2([x[0] for x in proposals], 6)
return
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line),
file=sys.stderr)
start_message = """
# Starting Empire Error-Correction
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: {banding}
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(fileDir=args.files_dir,
reference=args.ref,
nbFiles=args.nb_files,
banding=args.banded,
inThmm=args.in_T_Hmm,
inChmm=args.in_C_Hmm,
model=args.stateMachineType,
regions=args.target_regions,
tHdp=args.templateHDP,
cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out +
"tempFiles_errorCorrection")
reference_sequence = args.ref
for cycle in range(0, args.cycles):
check, reference_sequence_length = write_degenerate_reference_set(
input_fasta=reference_sequence, out_path=temp_dir_path, step=STEP)
assert check, "Problem making degenerate reference sequence set"
# index the reference for bwa
print("signalAlign - indexing reference", file=sys.stderr)
bwa_ref_index = get_bwa_index(reference_sequence, temp_dir_path)
print("signalAlign - indexing reference, done", file=sys.stderr)
# setup workers for multiprocessing
workers = args.nb_jobs
work_queue = Manager().Queue()
done_queue = Manager().Queue()
jobs = []
# list of alignment files
fast5s = [
x for x in os.listdir(args.files_dir) if x.endswith(".fast5")
]
# take only some
if args.nb_files < len(fast5s):
shuffle(fast5s)
fast5s = fast5s[:args.nb_files]
for fast5 in fast5s:
alignment_args = {
"forward_reference": None,
"backward_reference": None,
"path_to_EC_refs": temp_dir_path,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": args.banded,
"sparse_output": True,
"in_fast5": args.files_dir + fast5,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": None,
"degenerate": degenerate_enum(args.degenerate),
}
#alignment = SignalAlignment(**alignment_args)
#alignment.run()
work_queue.put(alignment_args)
for w in xrange(workers):
p = Process(target=aligner, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# signalAlign - finished alignments\n", file=sys.stderr)
print("\n# signalAlign - finished alignments\n", file=sys.stdout)
# working sequence is a string, that has the reference we're going to update this cycle
working_sequence = get_first_sequence(reference_sequence)
# register is the relative position that is being N-ed:
# ACGTAGACAATA --> NCGTAGNCAATA = register 0
# ACGTAGACAATA --> ANGTAGANAATA = register 1 ...
for register in range(0, STEP):
print("# Starting Variant Calling, register: {}...".format(
register),
file=sys.stdout,
end='\n')
print("# Starting Variant Calling, register: {}...".format(
register),
file=sys.stderr,
end='')
# cull the alignment files for this register
alns, forward_mask = get_alignments_labels_and_mask(
path_to_alignments=temp_dir_path + "*.tsv.{}".format(register),
max=args.nb_files,
suffix=".{}".format(register))
# this is the list of positions that we're going to look at, based on this register
degenerate_positions = {
'forward': range(register, reference_sequence_length, STEP),
'backward': range(register, reference_sequence_length, STEP)
}
# place to put the marginal probs
variant_call_file = temp_folder.add_file_path(
"variants.{cycle}.{reg}.calls".format(cycle=cycle,
reg=register))
# arguments for multiprocessing
for aln, forward_bool in zip(alns, forward_mask):
call_methyl_args = {
"sequence": None,
"alignment_file": aln,
"forward": forward_bool,
"out_file": variant_call_file,
"positions": degenerate_positions,
"degenerate_type": degenerate_enum(args.degenerate),
}
#c = CallMethylation(**call_methyl_args)
#c.write()
work_queue.put(call_methyl_args)
for w in xrange(workers):
p = Process(target=run_methyl_caller,
args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
# this is where the per-register update happens
working_sequence = update_reference(variant_call_file,
working_sequence,
register,
min_depth=0,
get_sites=False)
# remove alignments for this register
for f in glob.glob(temp_dir_path + "*.tsv.{}".format(register)):
os.remove(f)
print("done", file=sys.stdout, end="\n")
print("done", file=sys.stderr, end="\n")
# add a file for this cycle
ref_path = temp_folder.add_file_path(
"iteration.{cycle}.fa".format(cycle=cycle))
# write it to a file
write_fasta("iteration.{cycle}.fa".format(cycle=cycle),
working_sequence, open(ref_path, 'w'))
# update the path to the reference for the next cycle
reference_sequence = ref_path
return
def main(args):
# parse args
args = parse_args()
start_message = """
# Starting Signal Align
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning {nbFiles}
# Using model: {model}
# Using banding: {banding} DEPRECIATE this ASAP
# Aligning to regions in: {regions}
# Input template HMM: {inThmm}
# Input complement HMM: {inChmm}
""".format(fileDir=args.files_dir, reference=args.ref, nbFiles=args.nb_files, banding=args.banded,
inThmm=args.in_T_Hmm, inChmm=args.in_C_Hmm, model=args.stateMachineType, regions=args.target_regions)
print(start_message, file=sys.stdout)
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
# make directory to put temporary files
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_alignment")
reference_seq = temp_folder.add_file_path("reference_seq.txt")
make_temp_sequence(args.ref, True, reference_seq)
# index the reference for bwa
print("signalAlign - indexing reference", file=sys.stderr)
bwa_ref_index = get_bwa_index(args.ref, temp_dir_path)
print("signalAlign - indexing reference, done", file=sys.stderr)
# parse the target regions, if provided
if args.target_regions is not None:
target_regions = TargetRegions(args.target_regions)
else:
target_regions = None
workers = args.nb_jobs
work_queue = Manager().Queue()
done_queue = Manager().Queue()
jobs = []
fast5s = [x for x in os.listdir(args.files_dir) if x.endswith(".fast5")]
nb_files = args.nb_files
if nb_files < len(fast5s):
shuffle(fast5s)
fast5s = fast5s[:nb_files]
for fast5 in fast5s:
alignment_args = {
"reference": reference_seq,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"banded": args.banded,
"in_fast5": args.files_dir + fast5,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": target_regions,
}
#alignment = SignalAlignment(**alignment_args)
#alignment.run()
work_queue.put(alignment_args)
for w in xrange(workers):
p = Process(target=aligner, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# signalAlign - finished alignments\n", file=sys.stderr)
print("\n# signalAlign - finished alignments\n", file=sys.stdout)
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line), file=sys.stderr)
start_message = """
# Starting Zayante Error-Correction
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: {banding}
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(fileDir=args.files_dir, reference=args.ref, nbFiles=args.nb_files, banding=args.banded,
inThmm=args.in_T_Hmm, inChmm=args.in_C_Hmm, model=args.stateMachineType, regions=args.target_regions,
tHdp=args.templateHDP, cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_errorCorrection")
reference_sequence = args.ref
STEP = 10
for cycle in range(0, 8):
for it in range(0, STEP):
# make paths for reference files
forward_reference = temp_folder.add_file_path("forward_reference.{cycle}.{iter}.txt".format(cycle=cycle,
iter=it))
backward_reference = temp_folder.add_file_path("backward_reference.{cycle}.{iter}.txt".format(cycle=cycle,
iter=it))
# make N-ed reference sequence for this iteration
deg, reference_sequence_length = make_degenerate_reference(reference_sequence, it,
forward_reference, backward_reference,
step=STEP)
assert deg, "Problem making degenerate reference for cycle {cycle} iteration {iter}" \
"".format(cycle=cycle, iter=it)
# index the reference for bwa
print("signalAlign - indexing reference", file=sys.stderr)
bwa_ref_index = get_bwa_index(args.ref, temp_dir_path)
print("signalAlign - indexing reference, done", file=sys.stderr)
# setup workers for multiprocessing
workers = args.nb_jobs
work_queue = Manager().Queue()
done_queue = Manager().Queue()
jobs = []
# list of alignment files
fast5s = [x for x in os.listdir(args.files_dir) if x.endswith(".fast5")]
# take only some
if args.nb_files < len(fast5s):
shuffle(fast5s)
fast5s = fast5s[:args.nb_files]
for fast5 in fast5s:
alignment_args = {
"forward_reference": forward_reference,
"backward_reference": backward_reference,
"path_to_EC_refs": None,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": args.banded,
"sparse_output": True,
"in_fast5": args.files_dir + fast5,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": None,
"degenerate": degenerate_enum(args.degenerate),
}
#alignment = SignalAlignment(**alignment_args)
#alignment.run()
work_queue.put(alignment_args)
for w in xrange(workers):
p = Process(target=aligner, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# signalAlign - finished alignments\n", file=sys.stderr)
print("\n# signalAlign - finished alignments\n", file=sys.stdout)
print("\n# Starting Variant Calling\n", file=sys.stdout)
print("\n# Starting Variant Calling\n", file=sys.stderr)
# cull the alignment files
alns, forward_mask = get_alignments_labels_and_mask(temp_dir_path + "*.tsv", args.nb_files)
degenerate_positions = {
'forward': range(it, reference_sequence_length, STEP),
'backward': range(it, reference_sequence_length, STEP) }
variant_call_file = temp_folder.add_file_path("variants.{cycle}.{iter}.calls".format(cycle=cycle, iter=it))
for aln, forward_bool in zip(alns, forward_mask):
call_methyl_args = {
"sequence": None,
"alignment_file": aln,
"forward": forward_bool,
"out_file": variant_call_file,
"positions": degenerate_positions,
"degenerate_type": degenerate_enum(args.degenerate),
}
#c = CallMethylation(**call_methyl_args)
#c.write()
work_queue.put(call_methyl_args)
for w in xrange(workers):
p = Process(target=run_methyl_caller, args=(work_queue, done_queue))
p.start()
jobs.append(p)
work_queue.put('STOP')
for p in jobs:
p.join()
done_queue.put('STOP')
print("\n# Finished Variant Calling\n", file=sys.stdout)
print("\n# Finished Variant Calling\n", file=sys.stderr)
new_ref = update_reference(variant_call_file, reference_sequence, 0)
ref_path = temp_folder.add_file_path("iteration.{cycle}.{iter}.fa".format(cycle=cycle, iter=it))
write_fasta("iteration.{cycle}.{iter}.fa".format(cycle=cycle, iter=it), new_ref, open(ref_path, 'w'))
reference_sequence = ref_path
# remove old alignments
for f in glob.glob(temp_dir_path + "*.tsv"):
os.remove(f)
STEP -= 1
return
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line), file=sys.stderr)
start_message = """
# Starting BonnyDoon Error-Correction
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: {banding}
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
""".format(fileDir=args.files_dir, reference=args.ref, nbFiles=args.nb_files, banding=args.banded,
inThmm=args.in_T_Hmm, inChmm=args.in_C_Hmm, model=args.stateMachineType, regions=args.target_regions,
tHdp=args.templateHDP, cHdp=args.complementHDP)
print(start_message, file=sys.stdout)
# cull the MinION files
fast5s = cull_fast5_files(args.files_dir, args.nb_files)
# get the (input) reference sequence
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
reference_sequence_path = args.ref
# unpack the reference sequence
reference_sequence_string = get_first_sequence(reference_sequence_path)
# make a working folder in the specified directory
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out + "tempFiles_errorCorrection")
# index the reference for bwa this is a string with the path to the index
bwa_ref_index = get_bwa_index(reference_sequence_path, temp_dir_path)
# alignment args are the parameters to the HMM/HDP model, and don't change
alignment_args = {
"path_to_EC_refs": None,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": args.banded,
"sparse_output": True,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": None,
"degenerate": degenerate_enum(args.degenerate),
}
# get the sites that have proposed edits
proposals = scan_for_proposals(temp_folder, STEP, reference_sequence_string, fast5s, alignment_args, args.nb_jobs)
proposals = group_sites_in_window2([x[0] for x in proposals], 6)
return
def main(args):
# parse args
args = parse_args()
command_line = " ".join(sys.argv[:])
print("Command Line: {cmdLine}\n".format(cmdLine=command_line),
file=sys.stderr)
start_message = """
# Starting Jamison Error-Correction
# Aligning files from: {fileDir}
# Aligning to reference: {reference}
# Aligning maximum of {nbFiles} files
# Using model: {model}
# Using banding: {banding}
# Aligning to regions in: {regions}
# Non-default template HMM: {inThmm}
# Non-default complement HMM: {inChmm}
# Template HDP: {tHdp}
# Complement HDP: {cHdp}
# Performing {cycles} cycles
""".format(fileDir=args.files_dir,
reference=args.ref,
nbFiles=args.nb_files,
banding=args.banded,
inThmm=args.in_T_Hmm,
inChmm=args.in_C_Hmm,
model=args.stateMachineType,
regions=args.target_regions,
tHdp=args.templateHDP,
cHdp=args.complementHDP,
cycles=args.cycles)
print(start_message, file=sys.stdout)
if not os.path.isfile(args.ref):
print("Did not find valid reference file", file=sys.stderr)
sys.exit(1)
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(args.out +
"tempFiles_errorCorrection")
# initialize to input fasta
reference_sequence_path = args.ref
# list of alignment files
fast5s = cull_fast5_files(args.files_dir, args.nb_files)
for cycle in range(0, args.cycles):
# index the reference for bwa this is a string with the path to the index
bwa_ref_index = get_bwa_index(reference_sequence_path, temp_dir_path)
# unpack the reference sequence
reference_sequence_string = get_first_sequence(reference_sequence_path)
alignment_args = {
"path_to_EC_refs": None,
"destination": temp_dir_path,
"stateMachineType": args.stateMachineType,
"bwa_index": bwa_ref_index,
"in_templateHmm": args.in_T_Hmm,
"in_complementHmm": args.in_C_Hmm,
"in_templateHdp": args.templateHDP,
"in_complementHdp": args.complementHDP,
"banded": args.banded,
"sparse_output": True,
"threshold": args.threshold,
"diagonal_expansion": args.diag_expansion,
"constraint_trim": args.constraint_trim,
"target_regions": None,
"degenerate": degenerate_enum(args.degenerate),
}
proposals = scan_for_proposals(temp_folder, STEP,
reference_sequence_string, fast5s,
alignment_args, args.nb_jobs)
proposals = group_sites_in_window(proposals, 6)
print("Cycle {cycle} - Got {nb} sites to check: {sites}".format(
nb=len(proposals), sites=proposals, cycle=cycle))
updated_reference_string = update_reference_with_marginal_probs(
temp_folder, proposals, reference_sequence_string, fast5s,
alignment_args, args.nb_jobs)
updated_reference_path = temp_folder.add_file_path(
"cycle_snapshot.{cycle}.fa".format(cycle=cycle))
write_fasta("jamison{}".format(cycle), updated_reference_string,
open(updated_reference_path, 'w'))
reference_sequence_path = updated_reference_path
# copy final file
copyfile(reference_sequence_path, temp_dir_path + args.corrected)
return
def run(self, get_expectations=False):
# file checks
if os.path.isfile(self.in_fast5) is False:
print("signalAlign - problem with file path {file}".format(file=self.in_fast5))
return False
# Preamble set up before doing the alignment
# containers and defaults
read_label = self.in_fast5.split("/")[-1] # used in the posteriors file as identifier
read_name = self.in_fast5.split("/")[-1][:-6] # get the name without the '.fast5'
# object for handling temporary files
temp_folder = FolderHandler()
temp_dir_path = temp_folder.open_folder(self.destination + "tempFiles_{readLabel}".format(readLabel=read_label))
# read-specific files, could be removed later but are kept right now to make it easier to rerun commands
temp_np_read = temp_folder.add_file_path("temp_{read}.npRead".format(read=read_label))
temp_2d_read = temp_folder.add_file_path("temp_2Dseq_{read}.fa".format(read=read_label))
temp_t_model = temp_folder.add_file_path("template_model.model")
temp_c_model = temp_folder.add_file_path("complement_model.model")
# make the npRead and fasta todo make this assert
success, temp_t_model, temp_c_model = get_npRead_2dseq_and_models(
fast5=self.in_fast5,
npRead_path=temp_np_read,
twod_read_path=temp_2d_read,
template_model_path=temp_t_model,
complement_model_path=temp_c_model,
)
if success is False:
return False
# add an indicator for the model being used
if self.stateMachineType == "threeState":
model_label = ".sm"
stateMachineType_flag = "--s "
elif self.stateMachineType == "fourState":
model_label = ".4s"
stateMachineType_flag = "--f "
elif self.stateMachineType == "echelon":
model_label = ".e"
stateMachineType_flag = "--e "
else:
model_label = ".vl"
stateMachineType_flag = ""
# get orientation and cigar from BWA this serves as the guide alignment
cigar_string, strand = exonerated_bwa(
bwa_index=self.bwa_index, query=temp_2d_read, target_regions=self.target_regions
)
# this gives the format: /directory/for/files/file.model.orientation.tsv
posteriors_file_path = ""
# forward strand
if strand == "+":
forward = True
posteriors_file_path = self.destination + read_name + model_label + ".forward.tsv"
# backward strand
if strand == "-":
forward = False
posteriors_file_path = self.destination + read_name + model_label + ".backward.tsv"
# didn't map
elif (strand != "+") and (strand != "-"):
print("signalAlign - {} didn't map".format(read_label), file=sys.stderr)
temp_folder.remove_folder()
return False
# Alignment routine
# containers and defaults
# temp_ref_seq = temp_folder.add_file_path("temp_ref_seq.txt")
path_to_vanillaAlign = "./vanillaAlign" # todo could require this in path
# make sequence for vanillaAlign, we orient the sequence so that the template events align to the
# reference and the complement events align to the reverse complement of the reference
# make_temp_sequence(self.reference, forward, temp_ref_seq)
# alignment flags
# input (match) models
if self.in_templateModel is not None:
template_model_flag = "-T {model_loc} ".format(model_loc=self.in_templateModel)
if temp_t_model is not None:
template_model_flag = "-T {t_model} ".format(t_model=temp_t_model)
else:
template_model_flag = ""
if self.in_complementModel is not None:
complement_model_flag = "-C {model_loc} ".format(model_loc=self.in_complementModel)
if temp_c_model is not None:
complement_model_flag = "-C {c_model} ".format(c_model=temp_c_model)
else:
complement_model_flag = ""
# input HMMs
if self.in_templateHmm is not None:
template_hmm_flag = "-y {hmm_loc} ".format(hmm_loc=self.in_templateHmm)
else:
template_hmm_flag = ""
if self.in_complementHmm is not None:
complement_hmm_flag = "-z {hmm_loc} ".format(hmm_loc=self.in_complementHmm)
else:
complement_hmm_flag = ""
# threshold
if self.threshold is not None:
threshold_flag = "-d {threshold} ".format(threshold=self.threshold)
else:
threshold_flag = ""
# diagonal expansion
if self.diagonal_expansion is not None:
diag_expansion_flag = "-x {expansion} ".format(expansion=self.diagonal_expansion)
else:
diag_expansion_flag = ""
# constraint trim
if self.constraint_trim is not None:
trim_flag = "-m {trim} ".format(trim=self.constraint_trim)
else:
trim_flag = ""
# banded alignment
if self.banded is True:
banded_flag = "--b "
else:
banded_flag = ""
# commands
if get_expectations:
template_expectations_file_path = self.destination + read_name + ".template.expectations"
complement_expectations_file_path = self.destination + read_name + ".complement.expectations"
command = (
"echo {cigar} | {vA} {banded}{model}-r {ref} -q {npRead} {t_model}{c_model}{t_hmm}{c_hmm}{thresh}"
"{expansion}{trim} -L {readLabel} -t {templateExpectations} -c {complementExpectations}".format(
cigar=cigar_string,
vA=path_to_vanillaAlign,
model=stateMachineType_flag,
banded=banded_flag,
ref=self.reference,
readLabel=read_label,
npRead=temp_np_read,
t_model=template_model_flag,
c_model=complement_model_flag,
t_hmm=template_hmm_flag,
c_hmm=complement_hmm_flag,
templateExpectations=template_expectations_file_path,
complementExpectations=complement_expectations_file_path,
thresh=threshold_flag,
expansion=diag_expansion_flag,
trim=trim_flag,
)
)
else:
command = (
"echo {cigar} | {vA} {banded}{model}-r {ref} -q {npRead} {t_model}{c_model}{t_hmm}{c_hmm}{thresh}"
"{expansion}{trim} -u {posteriors} -L {readLabel}".format(
cigar=cigar_string,
vA=path_to_vanillaAlign,
model=stateMachineType_flag,
banded=banded_flag,
ref=self.reference,
readLabel=read_label,
npRead=temp_np_read,
t_model=template_model_flag,
c_model=complement_model_flag,
t_hmm=template_hmm_flag,
c_hmm=complement_hmm_flag,
posteriors=posteriors_file_path,
thresh=threshold_flag,
expansion=diag_expansion_flag,
trim=trim_flag,
)
)
# run
print("signalAlign - running command: ", command, end="\n", file=sys.stderr)
os.system(command)
temp_folder.remove_folder()
return True