def main1(prog_name, input_config_fn, logger_config_fn=None):
global fc_run_logger
fc_run_logger = support.setup_logger(logger_config_fn)
fc_run_logger.info("fc_run started with configuration %s", input_config_fn)
config = support.get_dict_from_old_falcon_cfg(
support.parse_config(input_config_fn))
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
support.make_dirs(d)
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
input_fofn_plf = makePypeLocalFile(
os.path.basename(config["input_fofn_fn"]))
rawread_fofn_plf = makePypeLocalFile(
os.path.join(rawread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs={"i_fofn": input_fofn_plf},
outputs={"o_fofn": rawread_fofn_plf},
parameters={},
TaskType=PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_raw)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
if config["input_type"] == "raw":
#### import sequences into daligner DB
sleep_done = makePypeLocalFile(os.path.join(rawread_dir, "sleep_done"))
rdb_build_done = makePypeLocalFile(
os.path.join(rawread_dir, "rdb_build_done"))
run_jobs = makePypeLocalFile(os.path.join(rawread_dir, "run_jobs.sh"))
parameters = {"work_dir": rawread_dir, "config": config}
make_build_rdb_task = PypeTask(inputs={"input_fofn": rawread_fofn_plf},
outputs={
"rdb_build_done": rdb_build_done,
"run_jobs": run_jobs
},
parameters=parameters,
TaskType=PypeThreadTaskBase)
build_rdb_task = make_build_rdb_task(task_build_rdb)
wf.addTasks([build_rdb_task])
wf.refreshTargets([rdb_build_done])
db_file = makePypeLocalFile(
os.path.join(rawread_dir, "%s.db" % "raw_reads"))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks(
fn(run_jobs), rawread_dir, "raw_reads", db_file, rdb_build_done,
config)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 60) # larger number better for more jobs
r_da_done = makePypeLocalFile(os.path.join(rawread_dir, "da_done"))
@PypeTask(inputs=daligner_out,
outputs={"da_done": r_da_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/rda_check")
def check_r_da_task(self):
system("touch %s" % fn(self.da_done))
wf.addTask(check_r_da_task)
wf.refreshTargets(
updateFreq=wait_time
) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs,
concurrent_jobs)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(
fn(run_jobs), rawread_dir, "raw_reads", r_da_done, config)
wf.addTasks(merge_tasks)
if config["target"] == "overlapping":
wf.refreshTargets(
updateFreq=wait_time
) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
sys.exit(0)
wf.addTasks(consensus_tasks)
r_cns_done = makePypeLocalFile(os.path.join(rawread_dir, "cns_done"))
pread_fofn = makePypeLocalFile(
os.path.join(pread_dir, "input_preads.fofn"))
@PypeTask(inputs=consensus_out,
outputs={
"cns_done": r_cns_done,
"pread_fofn": pread_fofn
},
TaskType=PypeThreadTaskBase,
URL="task://localhost/cns_check")
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fasta" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >> f, fa_fn
system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
wf.refreshTargets(
updateFreq=wait_time) # larger number better for more jobs
if config["target"] == "pre-assembly":
sys.exit(0)
# build pread database
if config["input_type"] == "preads":
pread_fofn = makePypeLocalFile(
os.path.join(pread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs={"i_fofn": rawread_fofn_plf},
outputs={"o_fofn": pread_fofn},
parameters={},
TaskType=PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_preads)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
pdb_build_done = makePypeLocalFile(
os.path.join(pread_dir, "pdb_build_done"))
parameters = {"work_dir": pread_dir, "config": config}
run_jobs = makePypeLocalFile(os.path.join(pread_dir, 'run_jobs.sh'))
make_build_pdb_task = PypeTask(inputs={"pread_fofn": pread_fofn},
outputs={
"pdb_build_done": pdb_build_done,
"run_jobs": run_jobs
},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/build_pdb")
build_pdb_task = make_build_pdb_task(task_build_pdb)
wf.addTasks([build_pdb_task])
wf.refreshTargets([pdb_build_done])
db_file = makePypeLocalFile(os.path.join(pread_dir, "%s.db" % "preads"))
#### run daligner
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks(fn(run_jobs),
pread_dir,
"preads",
db_file,
pdb_build_done,
config,
pread_aln=True)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 30) # larger number better for more jobs
p_da_done = makePypeLocalFile(os.path.join(pread_dir, "da_done"))
@PypeTask(inputs=daligner_out,
outputs={"da_done": p_da_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/pda_check")
def check_p_da_task(self):
system("touch %s" % fn(self.da_done))
wf.addTask(check_p_da_task)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(
fn(run_jobs), pread_dir, "preads", p_da_done, config)
wf.addTasks(merge_tasks)
#wf.refreshTargets(updateFreq = 30) #all
p_merge_done = makePypeLocalFile(os.path.join(pread_dir, "p_merge_done"))
@PypeTask(inputs=merge_out,
outputs={"p_merge_done": p_merge_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/pmerge_check")
def check_p_merge_check_task(self):
system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
wf.refreshTargets(updateFreq=wait_time) #all
falcon_asm_done = makePypeLocalFile(
os.path.join(falcon_asm_dir, "falcon_asm_done"))
make_run_falcon_asm = PypeTask(
inputs={
"p_merge_done": p_merge_done,
"db_file": db_file
},
outputs={"falcon_asm_done": falcon_asm_done},
parameters={
"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir
},
TaskType=PypeThreadTaskBase,
URL="task://localhost/falcon")
wf.addTask(make_run_falcon_asm(task_run_falcon_asm))
wf.refreshTargets(updateFreq=wait_time) #all
ch.setFormatter(formatter)
logger.addHandler(ch)
inputs = {"input": makePypeLocalFile("/tmp/test1_input")}
outputs = {"output": makePypeLocalFile("/tmp/test1_output")}
os.system("touch /tmp/test1_input")
@PypeTask(inputs = inputs, outputs = outputs, TaskType = PypeThreadTaskBase)
def f(self):
i = 0
while 1:
time.sleep(0.1)
if self.shutdown_event != None and self.shutdown_event.is_set():
break
if i > 10:
break
i += 1
if self.shutdown_event == None or not self.shutdown_event.is_set():
os.system("touch %s" % fn(self.output))
wf = PypeThreadWorkflow()
wf.addTasks([f])
wf.refreshTargets()
def main(*argv):
setup_logger()
if len(argv) < 2:
print "you need to specify a configuration file"
print "example: HGAP.py HGAP_run.cfg"
sys.exit(1)
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
try:
os.makedirs(d)
except:
pass
config = get_config(argv[1])
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
if config["input_type"] == "raw":
#### import sequences into daligner DB
input_h5_fofn = makePypeLocalFile(
os.path.abspath(config["input_fofn_fn"]))
rdb_build_done = makePypeLocalFile(
os.path.join(rawread_dir, "rdb_build_done"))
parameters = {"work_dir": rawread_dir, "config": config}
make_buid_rdb_task = PypeTask(
inputs={"input_fofn": input_h5_fofn},
outputs={"rdb_build_done": rdb_build_done},
parameters=parameters,
TaskType=PypeThreadTaskBase)
buid_rdb_task = make_buid_rdb_task(build_rdb)
wf.addTasks([buid_rdb_task])
wf.refreshTargets([rdb_build_done])
db_file = makePypeLocalFile(
os.path.join(rawread_dir, "%s.db" % "raw_reads"))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks(
rawread_dir, "raw_reads", db_file, rdb_build_done, config)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 60) # larger number better for more jobs
r_da_done = makePypeLocalFile(os.path.join(rawread_dir, "da_done"))
@PypeTask(inputs=daligner_out,
outputs={"da_done": r_da_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/rda_check")
def check_r_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_r_da_task)
wf.refreshTargets(
updateFreq=wait_time
) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs,
concurrent_jobs)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(
rawread_dir, "raw_reads", r_da_done, config)
wf.addTasks(merge_tasks)
if config["target"] == "overlapping":
wf.refreshTargets(
updateFreq=wait_time
) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
exit(0)
wf.addTasks(consensus_tasks)
r_cns_done = makePypeLocalFile(os.path.join(rawread_dir, "cns_done"))
pread_fofn = makePypeLocalFile(
os.path.join(pread_dir, "input_preads.fofn"))
@PypeTask(inputs=consensus_out,
outputs={
"cns_done": r_cns_done,
"pread_fofn": pread_fofn
},
TaskType=PypeThreadTaskBase,
URL="task://localhost/cns_check")
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fa" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >> f, fa_fn
os.system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
wf.refreshTargets(
updateFreq=wait_time) # larger number better for more jobs
if config["target"] == "pre-assembly":
exit(0)
if config["input_type"] == "preads":
if not os.path.exists("%s/input_preads.fofn" % pread_dir):
os.system("cp %s %s/input_preads.fofn" %
(os.path.abspath(config["input_fofn_fn"]), pread_dir))
pread_fofn = makePypeLocalFile(
os.path.join(pread_dir, "input_preads.fofn"))
rdb_build_done = makePypeLocalFile(
os.path.join(pread_dir, "rdb_build_done"))
@PypeTask(inputs={"pread_fofn": pread_fofn},
outputs={"rdb_build_done": rdb_build_done},
parameters={
"config": config,
"pread_dir": pread_dir
},
TaskType=PypeThreadTaskBase,
URL="task://localhost/build_p_rdb")
def build_p_rdb_task(self):
config = self.parameters["config"]
pread_dir = self.parameters["pread_dir"]
fa_serial = 0
for fa_fn in open(fn(self.pread_fofn)).readlines():
fa_fn = fa_fn.strip()
c = 0
fa_serial += 1
with open("%s/preads_norm_%05d.fasta" % (pread_dir, fa_serial),
"w") as p_norm:
f = FastaReader(fa_fn)
for r in f:
if len(r.sequence) < config["length_cutoff_pr"]:
continue
name = r.name
name = name.replace("_", "")
ignore_read = False
for cc in r.sequence:
if cc not in ["A", "C", "G", "T"]:
ignore_read = True
break
if ignore_read:
continue
print >> p_norm, ">prolog_%05d/%d/%d_%d" % (
fa_serial, c, 0, len(r.sequence))
for i in range(0, len(r.sequence) / 80):
print >> p_norm, r.sequence[i * 80:(i + 1) * 80]
print >> p_norm, r.sequence[(i + 1) * 80:]
c += 1
os.system("cd %s; fasta2DB preads preads_norm_%05d.fasta" %
(pread_dir, fa_serial))
os.system("cd %s; DBsplit %s preads" %
(pread_dir, config["ovlp_DBsplit_option"]))
os.system("cd %s; HPCdaligner %s preads > run_jobs.sh" %
(pread_dir, config["ovlp_HPCdaligner_option"]))
os.system("cd %s; touch rdb_build_done" % pread_dir)
wf.addTask(build_p_rdb_task)
wf.refreshTargets(
updateFreq=wait_time) # larger number better for more jobs
db_file = makePypeLocalFile(os.path.join(pread_dir, "%s.db" % "preads"))
#### run daligner
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks(pread_dir,
"preads",
db_file,
rdb_build_done,
config,
pread_aln=True)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 30) # larger number better for more jobs
p_da_done = makePypeLocalFile(os.path.join(pread_dir, "da_done"))
@PypeTask(inputs=daligner_out,
outputs={"da_done": p_da_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/pda_check")
def check_p_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_p_da_task)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(
pread_dir, "preads", p_da_done, config)
wf.addTasks(merge_tasks)
#wf.refreshTargets(updateFreq = 30) #all
p_merge_done = makePypeLocalFile(os.path.join(pread_dir, "p_merge_done"))
@PypeTask(inputs=merge_out,
outputs={"p_merge_done": p_merge_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/pmerge_check")
def check_p_merge_check_task(self):
os.system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
wf.refreshTargets(updateFreq=wait_time) #all
falcon_asm_done = makePypeLocalFile(
os.path.join(falcon_asm_dir, "falcon_asm_done"))
@PypeTask(inputs={"p_merge_done": p_merge_done},
outputs={"falcon_asm_done": falcon_asm_done},
parameters={
"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir
},
TaskType=PypeThreadTaskBase,
URL="task://localhost/falcon")
def run_falcon_asm_task(self):
wd = self.parameters["wd"]
config = self.parameters["config"]
install_prefix = config["install_prefix"]
pread_dir = self.parameters["pread_dir"]
script_dir = os.path.join(wd)
script_fn = os.path.join(script_dir, "run_falcon_asm.sh")
script = []
script.append("source {install_prefix}/bin/activate".format(
install_prefix=install_prefix))
script.append("cd %s" % pread_dir)
script.append("DB2Falcon preads")
script.append("cd %s" % wd)
script.append("""find %s/las_files -name "*.las" > las.fofn """ %
pread_dir)
overlap_filtering_setting = config["overlap_filtering_setting"]
length_cutoff_pr = config["length_cutoff_pr"]
script.append("""fc_ovlp_filter.py --fofn las.fofn %s \
--n_core 24 --min_len %d > preads.ovl""" %
(overlap_filtering_setting, length_cutoff_pr))
script.append("ln -sf %s/preads4falcon.fasta ." % pread_dir)
script.append("""fc_ovlp_to_graph.py preads.ovl > fc.log""")
script.append("""fc_graph_to_contig.py""")
script.append("""touch %s\n""" % fn(self.falcon_asm_done))
with open(script_fn, "w") as script_file:
script_file.write("\n".join(script))
job_name = self.URL.split("/")[-1]
job_name += "-" + str(uuid.uuid1())[:8]
job_data = {
"job_name": job_name,
"cwd": wd,
"sge_option": config["sge_option_fc"],
"script_fn": script_fn
}
run_script(job_data, job_type="SGE")
wait_for_file(fn(self.falcon_asm_done), task=self, job_name=job_name)
wf.addTask(run_falcon_asm_task)
wf.refreshTargets(updateFreq=wait_time) #all
smrt_bin = config.get('Unzip', 'smrt_bin')
quiver_concurrent_jobs = 8
if config.has_option('Unzip', 'quiver_concurrent_jobs'):
quiver_concurrent_jobs = config.getint('Unzip', 'quiver_concurrent_jobs')
config = {"job_type": job_type,
"sge_quiver": sge_quiver,
"smrt_bin": smrt_bin}
support.job_type = "SGE" #tmp hack until we have a configuration parser
ctg_ids = []
PypeThreadWorkflow.setNumThreadAllowed(quiver_concurrent_jobs, quiver_concurrent_jobs)
wf = PypeThreadWorkflow()
ref_seq_data = {}
p_ctg_fa = FastaReader("./3-unzip/all_p_ctg.fa")
ctg_types = {}
for r in p_ctg_fa:
rid = r.name.split()[0]
ref_seq_data[rid] = r.sequence
ctg_types[rid] = "p"
h_ctg_fa = FastaReader("./3-unzip/all_h_ctg.fa")
for r in h_ctg_fa:
rid = r.name.split()[0]
ref_seq_data[rid] = r.sequence
fasta_dir = os.path.abspath("./0-fasta_files")
dist_map_dir = os.path.abspath("./1-dist_map")
pa_dir = os.path.abspath("./2-preads")
celera_asm_dir = os.path.abspath("./3-CA")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (dist_map_dir, fasta_dir, pa_dir, script_dir, celera_asm_dir, sge_log_dir):
try:
os.makedirs(d)
except:
pass
config = get_config(sys.argv[1])
concurrent_jobs = config["concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
#### Task to convert bas.h5 and bax.h5 to fasta files, it will generates two fofn files for the queries and targets
input_h5_fofn = makePypeLocalFile(os.path.abspath( config["input_fofn_fn"] ))
query_fa_fofn = makePypeLocalFile( os.path.join( fasta_dir, "queries.fofn" ) )
target_fa_fofn = makePypeLocalFile( os.path.join( fasta_dir, "targets.fofn" ) )
fasta_dump_done = makePypeLocalFile(os.path.abspath( os.path.join( fasta_dir, "fasta_dump_done") ) )
parameters = {"fasta_dir": fasta_dir,
"min_length": config["length_cutoff"],
"min_read_score": config["RQ_threshold"]}
@PypeTask(inputs = {"input_fofn": input_h5_fofn},
outputs = {"fasta_dump_done": fasta_dump_done,
"target_fa_fofn": target_fa_fofn,
fc_run_logger.info( "fc_run started with configuration %s", sys.argv[1] )
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
try:
os.makedirs(d)
except:
pass
config = get_config(sys.argv[1])
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
if config["input_type"] == "raw":
#### import sequences into daligner DB
input_h5_fofn = makePypeLocalFile( os.path.abspath( config["input_fofn_fn"] ) )
rdb_build_done = makePypeLocalFile( os.path.join( rawread_dir, "rdb_build_done") )
parameters = {"work_dir": rawread_dir,
"config": config}
make_buid_rdb_task = PypeTask(inputs = {"input_fofn": input_h5_fofn},
outputs = {"rdb_build_done": rdb_build_done},
parameters = parameters,
TaskType = PypeThreadTaskBase)
buid_rdb_task = make_buid_rdb_task(build_rdb)
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
try:
os.makedirs(d)
except:
pass
config = get_config(sys.argv[1])
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
if config["input_type"] == "raw":
#### import sequences into daligner DB
input_h5_fofn = makePypeLocalFile(
os.path.abspath(config["input_fofn_fn"]))
rdb_build_done = makePypeLocalFile(
os.path.join(rawread_dir, "rdb_build_done"))
parameters = {"work_dir": rawread_dir, "config": config}
make_buid_rdb_task = PypeTask(
inputs={"input_fofn": input_h5_fofn},
outputs={"rdb_build_done": rdb_build_done},
parameters=parameters,
TaskType=PypeThreadTaskBase)
dist_map_dir = os.path.abspath("./1-dist_map")
pa_dir = os.path.abspath("./2-preads")
celera_asm_dir = os.path.abspath("./3-CA")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (dist_map_dir, fasta_dir, pa_dir, script_dir, celera_asm_dir,
sge_log_dir):
try:
os.makedirs(d)
except:
pass
config = get_config(sys.argv[1])
concurrent_jobs = config["concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
#### Task to convert bas.h5 and bax.h5 to fasta files, it will generates two fofn files for the queries and targets
input_h5_fofn = makePypeLocalFile(os.path.abspath(config["input_fofn_fn"]))
query_fa_fofn = makePypeLocalFile(os.path.join(fasta_dir, "queries.fofn"))
target_fa_fofn = makePypeLocalFile(os.path.join(fasta_dir, "targets.fofn"))
fasta_dump_done = makePypeLocalFile(
os.path.abspath(os.path.join(fasta_dir, "fasta_dump_done")))
parameters = {
"fasta_dir": fasta_dir,
"min_length": config["length_cutoff"],
"min_read_score": config["RQ_threshold"]
}
@PypeTask(inputs={"input_fofn": input_h5_fofn},
quiver_concurrent_jobs = 8
if config.has_option('Unzip', 'quiver_concurrent_jobs'):
quiver_concurrent_jobs = config.getint('Unzip',
'quiver_concurrent_jobs')
config = {
"job_type": job_type,
"sge_quiver": sge_quiver,
"smrt_bin": smrt_bin
}
support.job_type = "SGE" #tmp hack until we have a configuration parser
ctg_ids = []
PypeThreadWorkflow.setNumThreadAllowed(quiver_concurrent_jobs,
quiver_concurrent_jobs)
wf = PypeThreadWorkflow()
ref_seq_data = {}
p_ctg_fa = FastaReader("./3-unzip/all_p_ctg.fa")
ctg_types = {}
for r in p_ctg_fa:
rid = r.name.split()[0]
ref_seq_data[rid] = r.sequence
ctg_types[rid] = "p"
h_ctg_fa = FastaReader("./3-unzip/all_h_ctg.fa")
for r in h_ctg_fa:
rid = r.name.split()[0]
ref_seq_data[rid] = r.sequence
ctg_types[rid] = "h"
parser.add_argument('--base_dir', type=str, default="./", help='the output base_dir, default to current working directory')
args = parser.parse_args()
bam_fn = args.bam
fasta_fn = args.fasta
ctg_id = args.ctg_id
base_dir = args.base_dir
ref_seq = ""
for r in FastaReader(fasta_fn):
rid = r.name.split()[0]
if rid != ctg_id:
continue
ref_seq = r.sequence.upper()
PypeThreadWorkflow.setNumThreadAllowed(1, 1)
wf = PypeThreadWorkflow()
bam_file = makePypeLocalFile(bam_fn)
vmap_file = makePypeLocalFile( os.path.join(base_dir, ctg_id, "variant_map") )
vpos_file = makePypeLocalFile( os.path.join(base_dir, ctg_id, "variant_pos") )
q_id_map_file = makePypeLocalFile( os.path.join(base_dir, ctg_id, "q_id_map") )
parameters = {}
parameters["ctg_id"] = ctg_id
parameters["ref_seq"] = ref_seq
parameters["base_dir"] = base_dir
make_het_call_task = PypeTask( inputs = { "bam_file": bam_file },
outputs = { "vmap_file": vmap_file, "vpos_file": vpos_file, "q_id_map_file": q_id_map_file },
def phasing(args):
bam_fn = args.bam
fasta_fn = args.fasta
ctg_id = args.ctg_id
base_dir = args.base_dir
ref_seq = ""
for r in FastaReader(fasta_fn):
rid = r.name.split()[0]
if rid != ctg_id:
continue
ref_seq = r.sequence.upper()
PypeThreadWorkflow.setNumThreadAllowed(1, 1)
wf = PypeThreadWorkflow()
bam_file = makePypeLocalFile(bam_fn)
vmap_file = makePypeLocalFile(os.path.join(base_dir, ctg_id,
"variant_map"))
vpos_file = makePypeLocalFile(os.path.join(base_dir, ctg_id,
"variant_pos"))
q_id_map_file = makePypeLocalFile(
os.path.join(base_dir, ctg_id, "q_id_map"))
parameters = {}
parameters["ctg_id"] = ctg_id
parameters["ref_seq"] = ref_seq
parameters["base_dir"] = base_dir
make_het_call_task = PypeTask(
inputs={"bam_file": bam_file},
outputs={
"vmap_file": vmap_file,
"vpos_file": vpos_file,
"q_id_map_file": q_id_map_file
},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/het_call")(make_het_call)
wf.addTasks([make_het_call_task])
atable_file = makePypeLocalFile(os.path.join(base_dir, ctg_id, "atable"))
parameters = {}
parameters["ctg_id"] = ctg_id
parameters["base_dir"] = base_dir
generate_association_table_task = PypeTask(
inputs={"vmap_file": vmap_file},
outputs={"atable_file": atable_file},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/g_atable")(generate_association_table)
wf.addTasks([generate_association_table_task])
phased_variant_file = makePypeLocalFile(
os.path.join(base_dir, ctg_id, "phased_variants"))
get_phased_blocks_task = PypeTask(
inputs={
"vmap_file": vmap_file,
"atable_file": atable_file
},
outputs={"phased_variant_file": phased_variant_file},
TaskType=PypeThreadTaskBase,
URL="task://localhost/get_phased_blocks")(get_phased_blocks)
wf.addTasks([get_phased_blocks_task])
phased_read_file = makePypeLocalFile(
os.path.join(base_dir, ctg_id, "phased_reads"))
get_phased_reads_task = PypeTask(
inputs={
"vmap_file": vmap_file,
"q_id_map_file": q_id_map_file,
"phased_variant_file": phased_variant_file
},
outputs={"phased_read_file": phased_read_file},
parameters={"ctg_id": ctg_id},
TaskType=PypeThreadTaskBase,
URL="task://localhost/get_phased_reads")(get_phased_reads)
wf.addTasks([get_phased_reads_task])
wf.refreshTargets()
def main1(prog_name, input_config_fn, logger_config_fn=None):
global fc_run_logger
fc_run_logger = support.setup_logger(logger_config_fn)
fc_run_logger.info("fc_run started with configuration %s", input_config_fn)
try:
config = support.get_dict_from_old_falcon_cfg(support.parse_config(input_config_fn))
except Exception:
fc_run_logger.exception('Failed to parse config "{}".'.format(input_config_fn))
raise
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
support.make_dirs(d)
exitOnFailure=config['stop_all_jobs_on_failure'] # only matter for parallel jobs
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
input_fofn_plf = makePypeLocalFile(config["input_fofn"])
rawread_fofn_plf = makePypeLocalFile(os.path.join(rawread_dir, os.path.basename(config["input_fofn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": input_fofn_plf},
outputs = {"o_fofn": rawread_fofn_plf},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_raw)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
if config["input_type"] == "raw":
#### import sequences into daligner DB
sleep_done = makePypeLocalFile( os.path.join( rawread_dir, "sleep_done") )
rdb_build_done = makePypeLocalFile( os.path.join( rawread_dir, "rdb_build_done") )
run_jobs = makePypeLocalFile( os.path.join( rawread_dir, "run_jobs.sh") )
parameters = {"work_dir": rawread_dir,
"config": config}
raw_reads_db_plf = makePypeLocalFile(os.path.join(rawread_dir, "%s.db" % "raw_reads"))
make_build_rdb_task = PypeTask(inputs = {"input_fofn": rawread_fofn_plf},
outputs = {"rdb_build_done": rdb_build_done,
"raw_reads_db": raw_reads_db_plf,
"run_jobs": run_jobs,
},
parameters = parameters,
TaskType = PypeThreadTaskBase)
build_rdb_task = make_build_rdb_task(task_build_rdb)
wf.addTasks([build_rdb_task])
wf.refreshTargets([rdb_build_done])
raw_reads_nblock = support.get_nblock(fn(raw_reads_db_plf))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks(fn(run_jobs), rawread_dir, "raw_reads", rdb_build_done,
nblock=raw_reads_nblock, config=config)
wf.addTasks(daligner_tasks)
r_da_done = makePypeLocalFile( os.path.join( rawread_dir, "da_done") )
parameters = {
"nblock": raw_reads_nblock,
}
make_daligner_gather = PypeTask(
inputs = daligner_out,
outputs = {"da_done":r_da_done},
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/rda_check" )
check_r_da_task = make_daligner_gather(task_daligner_gather)
wf.addTask(check_r_da_task)
wf.refreshTargets(exitOnFailure=exitOnFailure)
merge_tasks, merge_out, p_ids_merge_job_done = create_merge_tasks(fn(run_jobs), rawread_dir, "raw_reads", r_da_done, config)
wf.addTasks( merge_tasks )
wf.refreshTargets(exitOnFailure=exitOnFailure)
if config["target"] == "overlapping":
sys.exit(0)
consensus_tasks, consensus_out = create_consensus_tasks(rawread_dir, "raw_reads", config, p_ids_merge_job_done)
wf.addTasks( consensus_tasks )
r_cns_done = makePypeLocalFile( os.path.join( rawread_dir, "cns_done") )
pread_fofn = makePypeLocalFile( os.path.join( pread_dir, "input_preads.fofn" ) )
@PypeTask( inputs = consensus_out,
outputs = {"cns_done":r_cns_done, "pread_fofn": pread_fofn},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/cns_check" )
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fasta" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >>f, fa_fn
system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
length_cutoff_plf = makePypeLocalFile(os.path.join(rawread_dir, "length_cutoff"))
pre_assembly_report_plf = makePypeLocalFile(os.path.join(rawread_dir, "pre_assembly_stats.json")) #tho technically it needs pread_fofn
make_task = PypeTask(
inputs = {"length_cutoff_fn": length_cutoff_plf,
"raw_reads_db": raw_reads_db_plf,
"preads_fofn": pread_fofn, },
outputs = {"pre_assembly_report": pre_assembly_report_plf, },
parameters = config,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/report_pre_assembly")
task = make_task(task_report_pre_assembly)
wf.addTask(task)
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf.refreshTargets(exitOnFailure=exitOnFailure)
if config["target"] == "pre-assembly":
sys.exit(0)
# build pread database
if config["input_type"] == "preads":
pread_fofn = makePypeLocalFile(os.path.join(pread_dir, os.path.basename(config["input_fofn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": rawread_fofn_plf},
outputs = {"o_fofn": pread_fofn},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_preads)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
pdb_build_done = makePypeLocalFile( os.path.join( pread_dir, "pdb_build_done") )
parameters = {"work_dir": pread_dir,
"config": config}
run_jobs = makePypeLocalFile(os.path.join(pread_dir, 'run_jobs.sh'))
preads_db = makePypeLocalFile(os.path.join(pread_dir, 'preads.db')) # Also .preads.*, of course.
make_build_pdb_task = PypeTask(inputs = {"pread_fofn": pread_fofn },
outputs = {"pdb_build_done": pdb_build_done,
"preads_db": preads_db,
"run_jobs": run_jobs},
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/build_pdb")
build_pdb_task = make_build_pdb_task(task_build_pdb)
wf.addTasks([build_pdb_task])
wf.refreshTargets([pdb_build_done])
preads_nblock = support.get_nblock(fn(preads_db))
#### run daligner
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks(fn(run_jobs), pread_dir, "preads", pdb_build_done,
nblock=preads_nblock, config=config, pread_aln=True)
wf.addTasks(daligner_tasks)
p_da_done = makePypeLocalFile(os.path.join( pread_dir, "da_done"))
parameters = {
"nblock": preads_nblock,
}
make_daligner_gather = PypeTask(
inputs = daligner_out,
outputs = {"da_done":p_da_done},
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pda_check" )
check_p_da_task = make_daligner_gather(task_daligner_gather)
wf.addTask(check_p_da_task)
wf.refreshTargets(exitOnFailure=exitOnFailure)
merge_tasks, merge_out, _ = create_merge_tasks(fn(run_jobs), pread_dir, "preads", p_da_done, config)
wf.addTasks( merge_tasks )
p_merge_done = makePypeLocalFile(os.path.join( pread_dir, "p_merge_done"))
@PypeTask( inputs = merge_out,
outputs = {"p_merge_done": p_merge_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pmerge_check" )
def check_p_merge_check_task(self):
system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf.refreshTargets(exitOnFailure=exitOnFailure)
db2falcon_done = makePypeLocalFile( os.path.join(pread_dir, "db2falcon_done"))
make_run_db2falcon = PypeTask(
inputs = {"p_merge_done": p_merge_done,},
outputs = {"db2falcon_done": db2falcon_done},
parameters = {"wd": pread_dir,
"config": config,
},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/db2falcon" )
wf.addTask(make_run_db2falcon(task_run_db2falcon))
falcon_asm_done = makePypeLocalFile( os.path.join( falcon_asm_dir, "falcon_asm_done") )
make_run_falcon_asm = PypeTask(
inputs = {"db2falcon_done": db2falcon_done, "db_file": preads_db},
outputs = {"falcon_asm_done": falcon_asm_done},
parameters = {"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/falcon" )
wf.addTask(make_run_falcon_asm(task_run_falcon_asm))
wf.refreshTargets()
help='the output base_dir, default to current working directory')
args = parser.parse_args()
bam_fn = args.bam
fasta_fn = args.fasta
ctg_id = args.ctg_id
base_dir = args.base_dir
ref_seq = ""
for r in FastaReader(fasta_fn):
rid = r.name.split()[0]
if rid != ctg_id:
continue
ref_seq = r.sequence.upper()
PypeThreadWorkflow.setNumThreadAllowed(1, 1)
wf = PypeThreadWorkflow()
bam_file = makePypeLocalFile(bam_fn)
vmap_file = makePypeLocalFile(os.path.join(base_dir, ctg_id,
"variant_map"))
vpos_file = makePypeLocalFile(os.path.join(base_dir, ctg_id,
"variant_pos"))
q_id_map_file = makePypeLocalFile(
os.path.join(base_dir, ctg_id, "q_id_map"))
parameters = {}
parameters["ctg_id"] = ctg_id
parameters["ref_seq"] = ref_seq
parameters["base_dir"] = base_dir
make_het_call_task = PypeTask(
def main(argv=sys.argv):
global fc_run_logger
fc_run_logger = support.setup_logger(None)
if len(sys.argv) < 2:
print "you need to provide a configuration file to specific a couple cluster running environment"
sys.exit(1)
config_fn = sys.argv[1]
config = ConfigParser.ConfigParser()
config.read(config_fn)
job_type = "SGE"
if config.has_option('General', 'job_type'):
job_type = config.get('General', 'job_type')
sge_track_reads = " -pe smp 12 -q bigmem"
if config.has_option('Unzip', 'sge_track_reads'):
sge_track_reads = config.get('Unzip', 'sge_track_reads')
sge_quiver = " -pe smp 24 -q bigmem "
if config.has_option('Unzip', 'sge_quiver'):
sge_quiver = config.get('Unzip', 'sge_quiver')
smrt_bin = "/mnt/secondary/builds/full/3.0.0/prod/smrtanalysis_3.0.0.153854/smrtcmds/bin/"
if config.has_option('Unzip', 'smrt_bin'):
smrt_bin = config.get('Unzip', 'smrt_bin')
input_bam_fofn = "input_bam.fofn"
if config.has_option('Unzip', 'input_bam_fofn'):
input_bam_fofn = config.get('Unzip', 'input_bam_fofn')
quiver_concurrent_jobs = 8
if config.has_option('Unzip', 'quiver_concurrent_jobs'):
quiver_concurrent_jobs = config.getint('Unzip',
'quiver_concurrent_jobs')
config = {
"job_type": job_type,
"sge_quiver": sge_quiver,
"sge_track_reads": sge_track_reads,
"input_bam_fofn": input_bam_fofn,
"smrt_bin": smrt_bin
}
support.job_type = "SGE" #tmp hack until we have a configuration parser
ctg_ids = []
PypeThreadWorkflow.setNumThreadAllowed(quiver_concurrent_jobs,
quiver_concurrent_jobs)
wf = PypeThreadWorkflow()
parameters = {"wd": os.path.abspath("."), "config": config}
hasm_done = makePypeLocalFile("./3-unzip/1-hasm/hasm_done")
job_done = makePypeLocalFile(
os.path.join(parameters["wd"], "track_reads_h_done"))
make_track_reads_task = PypeTask(inputs={"hasm_done": hasm_done},
outputs={"job_done": job_done},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/track_reads_h")
track_reads_task = make_track_reads_task(task_track_reads)
wf.addTask(track_reads_task)
wf.refreshTargets() #force refresh now, will put proper dependence later
ref_seq_data = {}
p_ctg_fa = FastaReader("./3-unzip/all_p_ctg.fa")
ctg_types = {}
for r in p_ctg_fa:
rid = r.name.split()[0]
ref_seq_data[rid] = r.sequence
ctg_types[rid] = "p"
h_ctg_fa = FastaReader("./3-unzip/all_h_ctg.fa")
for r in h_ctg_fa:
rid = r.name.split()[0]
ref_seq_data[rid] = r.sequence
ctg_types[rid] = "h"
ctg_ids = sorted(ref_seq_data.keys())
p_ctg_out = []
h_ctg_out = []
for ctg_id in ctg_ids:
sequence = ref_seq_data[ctg_id]
m_ctg_id = ctg_id.split("-")[0]
wd = os.path.join(os.getcwd(), "./4-quiver/", m_ctg_id)
mkdir(wd)
ref_fasta = makePypeLocalFile(
os.path.join(wd, "{ctg_id}_ref.fa".format(ctg_id=ctg_id)))
read_sam = makePypeLocalFile(
os.path.join(
os.getcwd(), "./4-quiver/reads/"
"{ctg_id}.sam".format(ctg_id=ctg_id)))
cns_fasta = makePypeLocalFile(
os.path.join(wd, "cns-{ctg_id}.fasta.gz".format(ctg_id=ctg_id)))
cns_fastq = makePypeLocalFile(
os.path.join(wd, "cns-{ctg_id}.fastq.gz".format(ctg_id=ctg_id)))
job_done = makePypeLocalFile(
os.path.join(wd, "{ctg_id}_quiver_done".format(ctg_id=ctg_id)))
if os.path.exists(fn(read_sam)):
if ctg_types[ctg_id] == "p":
p_ctg_out.append((cns_fasta, cns_fastq))
if ctg_types[ctg_id] == "h":
h_ctg_out.append((cns_fasta, cns_fastq))
if not os.path.exists(fn(ref_fasta)):
with open(fn(ref_fasta), "w") as f:
print >> f, ">" + ctg_id
print >> f, sequence
parameters = {
"job_uid": "q-" + ctg_id,
"wd": wd,
"config": config,
"ctg_id": ctg_id
}
make_quiver_task = PypeTask(
inputs={
"ref_fasta": ref_fasta,
"read_sam": read_sam
},
outputs={
"cns_fasta": cns_fasta,
"cns_fastq": cns_fastq,
"job_done": job_done
},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/q_{ctg_id}".format(ctg_id=ctg_id))
quiver_task = make_quiver_task(task_run_quiver)
wf.addTask(quiver_task)
wf.refreshTargets()
os.system("sleep 30")
mkdir("./4-quiver/cns_output")
os.system("rm ./4-quiver/cns_output/cns_p_ctg.fasta")
os.system("rm ./4-quiver/cns_output/cns_p_ctg.fastq")
for cns_fasta, cns_fastq in sorted(p_ctg_out):
os.system(
"zcat {cns_fasta} >> ./4-quiver/cns_output/cns_p_ctg.fasta".format(
cns_fasta=fn(cns_fasta)))
os.system(
"zcat {cns_fastq} >> ./4-quiver/cns_output/cns_p_ctg.fastq".format(
cns_fastq=fn(cns_fastq)))
os.system("rm ./4-quiver/cns_output/cns_h_ctg.fasta")
os.system("rm ./4-quiver/cns_output/cns_h_ctg.fastq")
for cns_fasta, cns_fastq in sorted(h_ctg_out):
os.system(
"zcat {cns_fasta} >> ./4-quiver/cns_output/cns_h_ctg.fasta".format(
cns_fasta=fn(cns_fasta)))
os.system(
"zcat {cns_fastq} >> ./4-quiver/cns_output/cns_h_ctg.fastq".format(
cns_fastq=fn(cns_fastq)))
def main1(prog_name, input_config_fn, logger_config_fn=None):
setup_logger(logger_config_fn)
fc_run_logger.info("fc_run started with configuration %s", input_config_fn)
config = get_config(parse_config(input_config_fn))
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
make_dirs(d)
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
input_fofn_plf = makePypeLocalFile(
os.path.basename(config["input_fofn_fn"]))
rawread_fofn_plf = makePypeLocalFile(
os.path.join(rawread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs={"i_fofn": input_fofn_plf},
outputs={"o_fofn": rawread_fofn_plf},
parameters={},
TaskType=PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(make_fofn_abs_raw)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
if config["input_type"] == "raw":
#### import sequences into daligner DB
sleep_done = makePypeLocalFile(os.path.join(rawread_dir, "sleep_done"))
rdb_build_done = makePypeLocalFile(
os.path.join(rawread_dir, "rdb_build_done"))
parameters = {"work_dir": rawread_dir, "config": config}
make_build_rdb_task = PypeTask(
inputs={"input_fofn": rawread_fofn_plf},
outputs={"rdb_build_done": rdb_build_done},
parameters=parameters,
TaskType=PypeThreadTaskBase)
build_rdb_task = make_build_rdb_task(build_rdb)
wf.addTasks([build_rdb_task])
wf.refreshTargets([rdb_build_done])
db_file = makePypeLocalFile(
os.path.join(rawread_dir, "%s.db" % "raw_reads"))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks(
rawread_dir, "raw_reads", db_file, rdb_build_done, config)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 60) # larger number better for more jobs
r_da_done = makePypeLocalFile(os.path.join(rawread_dir, "da_done"))
@PypeTask(inputs=daligner_out,
outputs={"da_done": r_da_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/rda_check")
def check_r_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_r_da_task)
wf.refreshTargets(
updateFreq=wait_time
) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs,
concurrent_jobs)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(
rawread_dir, "raw_reads", r_da_done, config)
wf.addTasks(merge_tasks)
if config["target"] == "overlapping":
wf.refreshTargets(
updateFreq=wait_time
) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
sys.exit(0)
wf.addTasks(consensus_tasks)
r_cns_done = makePypeLocalFile(os.path.join(rawread_dir, "cns_done"))
pread_fofn = makePypeLocalFile(
os.path.join(pread_dir, "input_preads.fofn"))
@PypeTask(inputs=consensus_out,
outputs={
"cns_done": r_cns_done,
"pread_fofn": pread_fofn
},
TaskType=PypeThreadTaskBase,
URL="task://localhost/cns_check")
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fasta" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >> f, fa_fn
os.system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
wf.refreshTargets(
updateFreq=wait_time) # larger number better for more jobs
if config["target"] == "pre-assembly":
sys.exit(0)
# build pread database
if config["input_type"] == "preads":
pread_fofn = makePypeLocalFile(
os.path.join(pread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs={"i_fofn": rawread_fofn_plf},
outputs={"o_fofn": pread_fofn},
parameters={},
TaskType=PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(make_fofn_abs_preads)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
pdb_build_done = makePypeLocalFile(
os.path.join(pread_dir, "pdb_build_done"))
parameters = {"work_dir": pread_dir, "config": config}
make_build_pdb_task = PypeTask(inputs={"pread_fofn": pread_fofn},
outputs={"pdb_build_done": pdb_build_done},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/build_pdb")
build_pdb_task = make_build_pdb_task(build_pdb)
wf.addTasks([build_pdb_task])
wf.refreshTargets([pdb_build_done])
db_file = makePypeLocalFile(os.path.join(pread_dir, "%s.db" % "preads"))
#### run daligner
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks(pread_dir,
"preads",
db_file,
pdb_build_done,
config,
pread_aln=True)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 30) # larger number better for more jobs
p_da_done = makePypeLocalFile(os.path.join(pread_dir, "da_done"))
@PypeTask(inputs=daligner_out,
outputs={"da_done": p_da_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/pda_check")
def check_p_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_p_da_task)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(
pread_dir, "preads", p_da_done, config)
wf.addTasks(merge_tasks)
#wf.refreshTargets(updateFreq = 30) #all
p_merge_done = makePypeLocalFile(os.path.join(pread_dir, "p_merge_done"))
@PypeTask(inputs=merge_out,
outputs={"p_merge_done": p_merge_done},
TaskType=PypeThreadTaskBase,
URL="task://localhost/pmerge_check")
def check_p_merge_check_task(self):
os.system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
wf.refreshTargets(updateFreq=wait_time) #all
falcon_asm_done = makePypeLocalFile(
os.path.join(falcon_asm_dir, "falcon_asm_done"))
@PypeTask(inputs={
"p_merge_done": p_merge_done,
"db_file": db_file
},
outputs={"falcon_asm_done": falcon_asm_done},
parameters={
"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir
},
TaskType=PypeThreadTaskBase,
URL="task://localhost/falcon")
def run_falcon_asm_task(self):
wd = self.parameters["wd"]
config = self.parameters["config"]
install_prefix = config["install_prefix"]
pread_dir = self.parameters["pread_dir"]
script_dir = os.path.join(wd)
script_fn = os.path.join(script_dir, "run_falcon_asm.sh")
script = []
script.append("set -vex")
script.append("trap 'touch %s.exit' EXIT" % fn(self.falcon_asm_done))
script.append("source {install_prefix}/bin/activate".format(
install_prefix=install_prefix))
script.append("cd %s" % pread_dir)
# Write preads4falcon.fasta, in 1-preads_ovl:
script.append("DB2Falcon -U preads")
script.append("cd %s" % wd)
script.append("""find %s/las_files -name "*.las" > las.fofn """ %
pread_dir)
overlap_filtering_setting = config["overlap_filtering_setting"]
length_cutoff_pr = config["length_cutoff_pr"]
script.append( """fc_ovlp_filter.py --db %s --fofn las.fofn %s --min_len %d > preads.ovl""" %\
(fn(db_file), overlap_filtering_setting, length_cutoff_pr) )
script.append("ln -sf %s/preads4falcon.fasta ." % pread_dir)
script.append(
"""fc_ovlp_to_graph.py preads.ovl --min_len %d > fc_ovlp_to_graph.log"""
% length_cutoff_pr) # TODO: drop this logfile
# Write 'p_ctg.fa' and 'a_ctg.fa':
script.append("""fc_graph_to_contig.py""")
script.append("""touch %s""" % fn(self.falcon_asm_done))
with open(script_fn, "w") as script_file:
script_file.write("\n".join(script))
job_name = self.URL.split("/")[-1]
job_name += "-" + str(uuid.uuid4())[:8]
job_data = {
"job_name": job_name,
"cwd": wd,
"sge_option": config["sge_option_fc"],
"script_fn": script_fn
}
run_script(job_data, job_type=config["job_type"])
wait_for_file(fn(self.falcon_asm_done), task=self, job_name=job_name)
wf.addTask(run_falcon_asm_task)
wf.refreshTargets(updateFreq=wait_time) #all
def main1(prog_name, input_config_fn, logger_config_fn=None):
setup_logger(logger_config_fn)
fc_run_logger.info( "fc_run started with configuration %s", input_config_fn )
config = get_config(parse_config(input_config_fn))
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
make_dirs(d)
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
input_fofn_plf = makePypeLocalFile(os.path.basename(config["input_fofn_fn"]))
rawread_fofn_plf = makePypeLocalFile(os.path.join(rawread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": input_fofn_plf},
outputs = {"o_fofn": rawread_fofn_plf},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(make_fofn_abs_raw)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
if config["input_type"] == "raw":
#### import sequences into daligner DB
sleep_done = makePypeLocalFile( os.path.join( rawread_dir, "sleep_done") )
rdb_build_done = makePypeLocalFile( os.path.join( rawread_dir, "rdb_build_done") )
parameters = {"work_dir": rawread_dir,
"config": config}
make_build_rdb_task = PypeTask(inputs = {"input_fofn": rawread_fofn_plf},
outputs = {"rdb_build_done": rdb_build_done},
parameters = parameters,
TaskType = PypeThreadTaskBase)
build_rdb_task = make_build_rdb_task(build_rdb)
wf.addTasks([build_rdb_task])
wf.refreshTargets([rdb_build_done])
db_file = makePypeLocalFile(os.path.join( rawread_dir, "%s.db" % "raw_reads" ))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks( rawread_dir, "raw_reads", db_file, rdb_build_done, config)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 60) # larger number better for more jobs
r_da_done = makePypeLocalFile( os.path.join( rawread_dir, "da_done") )
@PypeTask( inputs = daligner_out,
outputs = {"da_done":r_da_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/rda_check" )
def check_r_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_r_da_task)
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks( rawread_dir, "raw_reads", r_da_done, config )
wf.addTasks( merge_tasks )
if config["target"] == "overlapping":
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
sys.exit(0)
wf.addTasks( consensus_tasks )
r_cns_done = makePypeLocalFile( os.path.join( rawread_dir, "cns_done") )
pread_fofn = makePypeLocalFile( os.path.join( pread_dir, "input_preads.fofn" ) )
@PypeTask( inputs = consensus_out,
outputs = {"cns_done":r_cns_done, "pread_fofn": pread_fofn},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/cns_check" )
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fasta" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >>f, fa_fn
os.system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs
if config["target"] == "pre-assembly":
sys.exit(0)
# build pread database
if config["input_type"] == "preads":
pread_fofn = makePypeLocalFile(os.path.join(pread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": rawread_fofn_plf},
outputs = {"o_fofn": pread_fofn},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(make_fofn_abs_preads)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
pdb_build_done = makePypeLocalFile( os.path.join( pread_dir, "pdb_build_done") )
parameters = {"work_dir": pread_dir,
"config": config}
make_build_pdb_task = PypeTask( inputs = { "pread_fofn": pread_fofn },
outputs = { "pdb_build_done": pdb_build_done },
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/build_pdb")
build_pdb_task = make_build_pdb_task(build_pdb)
wf.addTasks([build_pdb_task])
wf.refreshTargets([pdb_build_done])
db_file = makePypeLocalFile(os.path.join( pread_dir, "%s.db" % "preads" ))
#### run daligner
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks( pread_dir, "preads", db_file, pdb_build_done, config, pread_aln= True)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 30) # larger number better for more jobs
p_da_done = makePypeLocalFile( os.path.join( pread_dir, "da_done") )
@PypeTask( inputs = daligner_out,
outputs = {"da_done":p_da_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pda_check" )
def check_p_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_p_da_task)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks( pread_dir, "preads", p_da_done, config )
wf.addTasks( merge_tasks )
#wf.refreshTargets(updateFreq = 30) #all
p_merge_done = makePypeLocalFile( os.path.join( pread_dir, "p_merge_done") )
@PypeTask( inputs = merge_out,
outputs = {"p_merge_done":p_merge_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pmerge_check" )
def check_p_merge_check_task(self):
os.system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
wf.refreshTargets(updateFreq = wait_time) #all
falcon_asm_done = makePypeLocalFile( os.path.join( falcon_asm_dir, "falcon_asm_done") )
@PypeTask( inputs = {"p_merge_done": p_merge_done, "db_file":db_file},
outputs = {"falcon_asm_done":falcon_asm_done},
parameters = {"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/falcon" )
def run_falcon_asm_task(self):
wd = self.parameters["wd"]
config = self.parameters["config"]
install_prefix = config["install_prefix"]
pread_dir = self.parameters["pread_dir"]
script_dir = os.path.join( wd )
script_fn = os.path.join( script_dir ,"run_falcon_asm.sh" )
script = []
script.append( "set -vex" )
script.append( "trap 'touch %s.exit' EXIT" % fn(self.falcon_asm_done) )
script.append( "source {install_prefix}/bin/activate".format(install_prefix = install_prefix) )
script.append( "cd %s" % pread_dir )
# Write preads4falcon.fasta, in 1-preads_ovl:
script.append( "DB2Falcon -U preads")
script.append( "cd %s" % wd )
script.append( """find %s/las_files -name "*.las" > las.fofn """ % pread_dir )
overlap_filtering_setting = config["overlap_filtering_setting"]
length_cutoff_pr = config["length_cutoff_pr"]
script.append( """fc_ovlp_filter.py --db %s --fofn las.fofn %s --min_len %d > preads.ovl""" %\
(fn(db_file), overlap_filtering_setting, length_cutoff_pr) )
script.append( "ln -sf %s/preads4falcon.fasta ." % pread_dir)
script.append( """fc_ovlp_to_graph.py preads.ovl --min_len %d > fc_ovlp_to_graph.log""" % length_cutoff_pr) # TODO: drop this logfile
# Write 'p_ctg.fa' and 'a_ctg.fa':
script.append( """fc_graph_to_contig.py""" )
script.append( """touch %s""" % fn(self.falcon_asm_done))
with open(script_fn, "w") as script_file:
script_file.write("\n".join(script))
job_data = make_job_data(self.URL, script_fn)
job_data["sge_option"] = config["sge_option_fc"]
run_script(job_data, job_type = config["job_type"])
wait_for_file(fn(self.falcon_asm_done), task=self, job_name=job_data['job_name'])
wf.addTask( run_falcon_asm_task )
wf.refreshTargets(updateFreq = wait_time) #all
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
try:
os.makedirs(d)
except:
pass
config = get_config(sys.argv[1])
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
if config["input_type"] == "raw":
#### import sequences into daligner DB
input_h5_fofn = makePypeLocalFile( os.path.abspath( config["input_fofn_fn"] ) )
rdb_build_done = makePypeLocalFile( os.path.join( rawread_dir, "rdb_build_done") )
parameters = {"work_dir": rawread_dir,
"config": config}
make_buid_rdb_task = PypeTask(inputs = {"input_fofn": input_h5_fofn},
outputs = {"rdb_build_done": rdb_build_done},
parameters = parameters,
TaskType = PypeThreadTaskBase)
buid_rdb_task = make_buid_rdb_task(build_rdb)
def main1(prog_name, input_config_fn, logger_config_fn=None):
global fc_run_logger
fc_run_logger = support.setup_logger(logger_config_fn)
fc_run_logger.info( "fc_run started with configuration %s", input_config_fn )
config = support.get_config(support.parse_config(input_config_fn))
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
support.make_dirs(d)
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
input_fofn_plf = makePypeLocalFile(os.path.basename(config["input_fofn_fn"]))
rawread_fofn_plf = makePypeLocalFile(os.path.join(rawread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": input_fofn_plf},
outputs = {"o_fofn": rawread_fofn_plf},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_raw)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
if config["input_type"] == "raw":
#### import sequences into daligner DB
sleep_done = makePypeLocalFile( os.path.join( rawread_dir, "sleep_done") )
rdb_build_done = makePypeLocalFile( os.path.join( rawread_dir, "rdb_build_done") )
run_jobs = makePypeLocalFile( os.path.join( rawread_dir, "run_jobs.sh") )
parameters = {"work_dir": rawread_dir,
"config": config}
make_build_rdb_task = PypeTask(inputs = {"input_fofn": rawread_fofn_plf},
outputs = {"rdb_build_done": rdb_build_done,
"run_jobs": run_jobs},
parameters = parameters,
TaskType = PypeThreadTaskBase)
build_rdb_task = make_build_rdb_task(task_build_rdb)
wf.addTasks([build_rdb_task])
wf.refreshTargets([rdb_build_done])
db_file = makePypeLocalFile(os.path.join( rawread_dir, "%s.db" % "raw_reads" ))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks(fn(run_jobs), rawread_dir, "raw_reads", db_file, rdb_build_done, config)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 60) # larger number better for more jobs
r_da_done = makePypeLocalFile( os.path.join( rawread_dir, "da_done") )
@PypeTask( inputs = daligner_out,
outputs = {"da_done":r_da_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/rda_check" )
def check_r_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_r_da_task)
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(fn(run_jobs), rawread_dir, "raw_reads", r_da_done, config)
wf.addTasks( merge_tasks )
if config["target"] == "overlapping":
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
sys.exit(0)
wf.addTasks( consensus_tasks )
r_cns_done = makePypeLocalFile( os.path.join( rawread_dir, "cns_done") )
pread_fofn = makePypeLocalFile( os.path.join( pread_dir, "input_preads.fofn" ) )
@PypeTask( inputs = consensus_out,
outputs = {"cns_done":r_cns_done, "pread_fofn": pread_fofn},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/cns_check" )
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fasta" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >>f, fa_fn
os.system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs
if config["target"] == "pre-assembly":
sys.exit(0)
# build pread database
if config["input_type"] == "preads":
pread_fofn = makePypeLocalFile(os.path.join(pread_dir, os.path.basename(config["input_fofn_fn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": rawread_fofn_plf},
outputs = {"o_fofn": pread_fofn},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_preads)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
pdb_build_done = makePypeLocalFile( os.path.join( pread_dir, "pdb_build_done") )
parameters = {"work_dir": pread_dir,
"config": config}
run_jobs = makePypeLocalFile(os.path.join(pread_dir, 'run_jobs.sh'))
make_build_pdb_task = PypeTask(inputs = { "pread_fofn": pread_fofn },
outputs = { "pdb_build_done": pdb_build_done,
"run_jobs": run_jobs},
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/build_pdb")
build_pdb_task = make_build_pdb_task(task_build_pdb)
wf.addTasks([build_pdb_task])
wf.refreshTargets([pdb_build_done])
db_file = makePypeLocalFile(os.path.join( pread_dir, "%s.db" % "preads" ))
#### run daligner
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks(fn(run_jobs), pread_dir, "preads", db_file, pdb_build_done, config, pread_aln= True)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 30) # larger number better for more jobs
p_da_done = makePypeLocalFile( os.path.join( pread_dir, "da_done") )
@PypeTask( inputs = daligner_out,
outputs = {"da_done":p_da_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pda_check" )
def check_p_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_p_da_task)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks(fn(run_jobs), pread_dir, "preads", p_da_done, config)
wf.addTasks( merge_tasks )
#wf.refreshTargets(updateFreq = 30) #all
p_merge_done = makePypeLocalFile( os.path.join( pread_dir, "p_merge_done") )
@PypeTask( inputs = merge_out,
outputs = {"p_merge_done":p_merge_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pmerge_check" )
def check_p_merge_check_task(self):
os.system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
wf.refreshTargets(updateFreq = wait_time) #all
falcon_asm_done = makePypeLocalFile( os.path.join( falcon_asm_dir, "falcon_asm_done") )
make_run_falcon_asm = PypeTask(
inputs = {"p_merge_done": p_merge_done, "db_file":db_file},
outputs = {"falcon_asm_done":falcon_asm_done},
parameters = {"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/falcon" )
wf.addTask(make_run_falcon_asm(task_run_falcon_asm))
wf.refreshTargets(updateFreq = wait_time) #all
def main(*argv):
setup_logger()
if len(argv) < 2:
print "you need to specify a configuration file"
print "example: HGAP.py HGAP_run.cfg"
sys.exit(1)
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
try:
os.makedirs(d)
except:
pass
config = get_config(argv[1])
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
if config["input_type"] == "raw":
#### import sequences into daligner DB
input_h5_fofn = makePypeLocalFile( os.path.abspath( config["input_fofn_fn"] ) )
rdb_build_done = makePypeLocalFile( os.path.join( rawread_dir, "rdb_build_done") )
parameters = {"work_dir": rawread_dir,
"config": config}
make_buid_rdb_task = PypeTask(inputs = {"input_fofn": input_h5_fofn},
outputs = {"rdb_build_done": rdb_build_done},
parameters = parameters,
TaskType = PypeThreadTaskBase)
buid_rdb_task = make_buid_rdb_task(build_rdb)
wf.addTasks([buid_rdb_task])
wf.refreshTargets([rdb_build_done])
db_file = makePypeLocalFile(os.path.join( rawread_dir, "%s.db" % "raw_reads" ))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks( rawread_dir, "raw_reads", db_file, rdb_build_done, config)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 60) # larger number better for more jobs
r_da_done = makePypeLocalFile( os.path.join( rawread_dir, "da_done") )
@PypeTask( inputs = daligner_out,
outputs = {"da_done":r_da_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/rda_check" )
def check_r_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_r_da_task)
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks( rawread_dir, "raw_reads", r_da_done, config )
wf.addTasks( merge_tasks )
if config["target"] == "overlapping":
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs, need to call to run jobs here or the # of concurrency is changed
exit(0)
wf.addTasks( consensus_tasks )
r_cns_done = makePypeLocalFile( os.path.join( rawread_dir, "cns_done") )
pread_fofn = makePypeLocalFile( os.path.join( pread_dir, "input_preads.fofn" ) )
@PypeTask( inputs = consensus_out,
outputs = {"cns_done":r_cns_done, "pread_fofn": pread_fofn},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/cns_check" )
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fa" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >>f, fa_fn
os.system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs
if config["target"] == "pre-assembly":
exit(0)
if config["input_type"] == "preads":
if not os.path.exists( "%s/input_preads.fofn" % pread_dir):
os.system( "cp %s %s/input_preads.fofn" % (os.path.abspath( config["input_fofn_fn"] ), pread_dir) )
pread_fofn = makePypeLocalFile( os.path.join( pread_dir, "input_preads.fofn" ) )
rdb_build_done = makePypeLocalFile( os.path.join( pread_dir, "rdb_build_done") )
@PypeTask( inputs = { "pread_fofn": pread_fofn },
outputs = { "rdb_build_done": rdb_build_done },
parameters = {"config": config, "pread_dir": pread_dir},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/build_p_rdb")
def build_p_rdb_task(self):
config = self.parameters["config"]
pread_dir = self.parameters["pread_dir"]
fa_serial = 0
for fa_fn in open(fn(self.pread_fofn)).readlines():
fa_fn = fa_fn.strip()
c = 0
fa_serial += 1
with open("%s/preads_norm_%05d.fasta" % (pread_dir, fa_serial), "w") as p_norm:
f = FastaReader(fa_fn)
for r in f:
if len(r.sequence) < config["length_cutoff_pr"]:
continue
name = r.name
name = name.replace("_","")
ignore_read = False
for cc in r.sequence:
if cc not in ["A","C","G","T"]:
ignore_read = True
break
if ignore_read:
continue
print >> p_norm, ">prolog_%05d/%d/%d_%d" % (fa_serial, c, 0, len(r.sequence) )
for i in range(0, len(r.sequence)/80):
print >> p_norm, r.sequence[ i *80 : (i + 1) * 80]
print >> p_norm, r.sequence[(i+1)*80:]
c += 1
os.system("cd %s; fasta2DB preads preads_norm_%05d.fasta" % (pread_dir, fa_serial) )
os.system("cd %s; DBsplit %s preads" % (pread_dir, config["ovlp_DBsplit_option"]))
os.system("cd %s; HPCdaligner %s preads > run_jobs.sh" % (pread_dir, config["ovlp_HPCdaligner_option"]))
os.system("cd %s; touch rdb_build_done" % pread_dir)
wf.addTask(build_p_rdb_task)
wf.refreshTargets(updateFreq = wait_time) # larger number better for more jobs
db_file = makePypeLocalFile(os.path.join( pread_dir, "%s.db" % "preads" ))
#### run daligner
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks( pread_dir, "preads", db_file, rdb_build_done, config, pread_aln= True)
wf.addTasks(daligner_tasks)
#wf.refreshTargets(updateFreq = 30) # larger number better for more jobs
p_da_done = makePypeLocalFile( os.path.join( pread_dir, "da_done") )
@PypeTask( inputs = daligner_out,
outputs = {"da_done":p_da_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pda_check" )
def check_p_da_task(self):
os.system("touch %s" % fn(self.da_done))
wf.addTask(check_p_da_task)
merge_tasks, merge_out, consensus_tasks, consensus_out = create_merge_tasks( pread_dir, "preads", p_da_done, config )
wf.addTasks( merge_tasks )
#wf.refreshTargets(updateFreq = 30) #all
p_merge_done = makePypeLocalFile( os.path.join( pread_dir, "p_merge_done") )
@PypeTask( inputs = merge_out,
outputs = {"p_merge_done":p_merge_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pmerge_check" )
def check_p_merge_check_task(self):
os.system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
wf.refreshTargets(updateFreq = wait_time) #all
falcon_asm_done = makePypeLocalFile( os.path.join( falcon_asm_dir, "falcon_asm_done") )
@PypeTask( inputs = {"p_merge_done": p_merge_done},
outputs = {"falcon_asm_done":falcon_asm_done},
parameters = {"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/falcon" )
def run_falcon_asm_task(self):
wd = self.parameters["wd"]
config = self.parameters["config"]
install_prefix = config["install_prefix"]
pread_dir = self.parameters["pread_dir"]
script_dir = os.path.join( wd )
script_fn = os.path.join( script_dir ,"run_falcon_asm.sh" )
script = []
script.append( "source {install_prefix}/bin/activate".format(install_prefix = install_prefix) )
script.append( "cd %s" % pread_dir )
script.append( "DB2Falcon preads")
script.append( "cd %s" % wd )
script.append( """find %s/las_files -name "*.las" > las.fofn """ % pread_dir )
overlap_filtering_setting = config["overlap_filtering_setting"]
length_cutoff_pr = config["length_cutoff_pr"]
script.append( """fc_ovlp_filter.py --fofn las.fofn %s \
--n_core 24 --min_len %d > preads.ovl""" % (overlap_filtering_setting, length_cutoff_pr) )
script.append( "ln -sf %s/preads4falcon.fasta ." % pread_dir)
script.append( """fc_ovlp_to_graph.py preads.ovl > fc.log""" )
script.append( """fc_graph_to_contig.py""" )
script.append( """touch %s\n""" % fn(self.falcon_asm_done))
with open(script_fn, "w") as script_file:
script_file.write("\n".join(script))
job_name = self.URL.split("/")[-1]
job_name += "-"+str(uuid.uuid1())[:8]
job_data = {"job_name": job_name,
"cwd": wd,
"sge_option": config["sge_option_fc"],
"script_fn": script_fn }
run_script(job_data, job_type = "SGE")
wait_for_file( fn(self.falcon_asm_done), task=self, job_name=job_name )
wf.addTask( run_falcon_asm_task )
wf.refreshTargets(updateFreq = wait_time) #all
def main1(prog_name, input_config_fn, logger_config_fn=None):
global fc_run_logger
fc_run_logger = support.setup_logger(logger_config_fn)
fc_run_logger.info("fc_run started with configuration %s", input_config_fn)
config = support.get_dict_from_old_falcon_cfg(support.parse_config(input_config_fn))
rawread_dir = os.path.abspath("./0-rawreads")
pread_dir = os.path.abspath("./1-preads_ovl")
falcon_asm_dir = os.path.abspath("./2-asm-falcon")
script_dir = os.path.abspath("./scripts")
sge_log_dir = os.path.abspath("./sge_log")
for d in (rawread_dir, pread_dir, falcon_asm_dir, script_dir, sge_log_dir):
support.make_dirs(d)
exitOnFailure=config['stop_all_jobs_on_failure'] # only matter for parallel jobs
concurrent_jobs = config["pa_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
input_fofn_plf = makePypeLocalFile(config["input_fofn"])
rawread_fofn_plf = makePypeLocalFile(os.path.join(rawread_dir, os.path.basename(config["input_fofn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": input_fofn_plf},
outputs = {"o_fofn": rawread_fofn_plf},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_raw)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
if config["input_type"] == "raw":
#### import sequences into daligner DB
sleep_done = makePypeLocalFile( os.path.join( rawread_dir, "sleep_done") )
rdb_build_done = makePypeLocalFile( os.path.join( rawread_dir, "rdb_build_done") )
run_jobs = makePypeLocalFile( os.path.join( rawread_dir, "run_jobs.sh") )
parameters = {"work_dir": rawread_dir,
"config": config}
raw_reads_db = makePypeLocalFile(os.path.join( rawread_dir, "%s.db" % "raw_reads" ))
make_build_rdb_task = PypeTask(inputs = {"input_fofn": rawread_fofn_plf},
outputs = {"rdb_build_done": rdb_build_done,
"raw_reads.db": raw_reads_db,
"run_jobs": run_jobs},
parameters = parameters,
TaskType = PypeThreadTaskBase)
build_rdb_task = make_build_rdb_task(task_build_rdb)
wf.addTasks([build_rdb_task])
wf.refreshTargets([rdb_build_done])
raw_reads_nblock = support.get_nblock(fn(raw_reads_db))
#### run daligner
daligner_tasks, daligner_out = create_daligner_tasks(fn(run_jobs), rawread_dir, "raw_reads", rdb_build_done, config)
wf.addTasks(daligner_tasks)
r_da_done = makePypeLocalFile( os.path.join( rawread_dir, "da_done") )
parameters = {
"nblock": raw_reads_nblock,
}
make_daligner_gather = PypeTask(
inputs = daligner_out,
outputs = {"da_done":r_da_done},
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/rda_check" )
check_r_da_task = make_daligner_gather(task_daligner_gather)
wf.addTask(check_r_da_task)
wf.refreshTargets(exitOnFailure=exitOnFailure)
merge_tasks, merge_out, p_ids_merge_job_done = create_merge_tasks(fn(run_jobs), rawread_dir, "raw_reads", r_da_done, config)
wf.addTasks( merge_tasks )
wf.refreshTargets(exitOnFailure=exitOnFailure)
if config["target"] == "overlapping":
sys.exit(0)
consensus_tasks, consensus_out = create_consensus_tasks(rawread_dir, "raw_reads", config, p_ids_merge_job_done)
wf.addTasks( consensus_tasks )
r_cns_done = makePypeLocalFile( os.path.join( rawread_dir, "cns_done") )
pread_fofn = makePypeLocalFile( os.path.join( pread_dir, "input_preads.fofn" ) )
@PypeTask( inputs = consensus_out,
outputs = {"cns_done":r_cns_done, "pread_fofn": pread_fofn},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/cns_check" )
def check_r_cns_task(self):
with open(fn(self.pread_fofn), "w") as f:
fn_list = glob.glob("%s/preads/out*.fasta" % rawread_dir)
fn_list.sort()
for fa_fn in fn_list:
print >>f, fa_fn
system("touch %s" % fn(self.cns_done))
wf.addTask(check_r_cns_task)
concurrent_jobs = config["cns_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf.refreshTargets(exitOnFailure=exitOnFailure)
if config["target"] == "pre-assembly":
sys.exit(0)
# build pread database
if config["input_type"] == "preads":
pread_fofn = makePypeLocalFile(os.path.join(pread_dir, os.path.basename(config["input_fofn"])))
make_fofn_abs_task = PypeTask(inputs = {"i_fofn": rawread_fofn_plf},
outputs = {"o_fofn": pread_fofn},
parameters = {},
TaskType = PypeThreadTaskBase)
fofn_abs_task = make_fofn_abs_task(task_make_fofn_abs_preads)
wf.addTasks([fofn_abs_task])
wf.refreshTargets([fofn_abs_task])
pdb_build_done = makePypeLocalFile( os.path.join( pread_dir, "pdb_build_done") )
parameters = {"work_dir": pread_dir,
"config": config}
run_jobs = makePypeLocalFile(os.path.join(pread_dir, 'run_jobs.sh'))
preads_db = makePypeLocalFile(os.path.join(pread_dir, 'preads.db')) # Also .preads.*, of course.
make_build_pdb_task = PypeTask(inputs = {"pread_fofn": pread_fofn },
outputs = {"pdb_build_done": pdb_build_done,
"preads_db": preads_db,
"run_jobs": run_jobs},
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/build_pdb")
build_pdb_task = make_build_pdb_task(task_build_pdb)
wf.addTasks([build_pdb_task])
wf.refreshTargets([pdb_build_done])
preads_nblock = support.get_nblock(fn(preads_db))
#### run daligner
config["sge_option_da"] = config["sge_option_pda"]
config["sge_option_la"] = config["sge_option_pla"]
daligner_tasks, daligner_out = create_daligner_tasks(fn(run_jobs), pread_dir, "preads", pdb_build_done, config, pread_aln=True)
wf.addTasks(daligner_tasks)
p_da_done = makePypeLocalFile(os.path.join( pread_dir, "da_done"))
parameters = {
"nblock": preads_nblock,
}
make_daligner_gather = PypeTask(
inputs = daligner_out,
outputs = {"da_done":p_da_done},
parameters = parameters,
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pda_check" )
check_p_da_task = make_daligner_gather(task_daligner_gather)
wf.addTask(check_p_da_task)
wf.refreshTargets(exitOnFailure=exitOnFailure)
merge_tasks, merge_out, _ = create_merge_tasks(fn(run_jobs), pread_dir, "preads", p_da_done, config)
wf.addTasks( merge_tasks )
p_merge_done = makePypeLocalFile(os.path.join( pread_dir, "p_merge_done"))
@PypeTask( inputs = merge_out,
outputs = {"p_merge_done": p_merge_done},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/pmerge_check" )
def check_p_merge_check_task(self):
system("touch %s" % fn(self.p_merge_done))
wf.addTask(check_p_merge_check_task)
concurrent_jobs = config["ovlp_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf.refreshTargets(exitOnFailure=exitOnFailure)
db2falcon_done = makePypeLocalFile( os.path.join(pread_dir, "db2falcon_done"))
make_run_db2falcon = PypeTask(
inputs = {"p_merge_done": p_merge_done,},
outputs = {"db2falcon_done": db2falcon_done},
parameters = {"wd": pread_dir,
"config": config,
},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/db2falcon" )
wf.addTask(make_run_db2falcon(task_run_db2falcon))
falcon_asm_done = makePypeLocalFile( os.path.join( falcon_asm_dir, "falcon_asm_done") )
make_run_falcon_asm = PypeTask(
inputs = {"db2falcon_done": db2falcon_done, "db_file": preads_db},
outputs = {"falcon_asm_done": falcon_asm_done},
parameters = {"wd": falcon_asm_dir,
"config": config,
"pread_dir": pread_dir},
TaskType = PypeThreadTaskBase,
URL = "task://localhost/falcon" )
wf.addTask(make_run_falcon_asm(task_run_falcon_asm))
wf.refreshTargets()
def unzip_all(config):
unzip_concurrent_jobs = config["unzip_concurrent_jobs"]
PypeThreadWorkflow.setNumThreadAllowed(unzip_concurrent_jobs,
unzip_concurrent_jobs)
wf = PypeThreadWorkflow()
ctg_list_file = makePypeLocalFile("./3-unzip/reads/ctg_list")
falcon_asm_done = makePypeLocalFile("./2-asm-falcon/falcon_asm_done")
parameters = {"wd": os.path.abspath("."), "config": config}
job_done = makePypeLocalFile(
os.path.join(parameters["wd"], "track_reads_done"))
make_track_reads_task = PypeTask(
inputs={"falcon_asm_done": falcon_asm_done},
outputs={
"job_done": job_done,
"ctg_list_file": ctg_list_file
},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/track_reads")
track_reads_task = make_track_reads_task(task_track_reads)
wf.addTask(track_reads_task)
wf.refreshTargets() #force refresh now, will put proper dependence later
ctg_ids = []
with open("./3-unzip/reads/ctg_list") as f:
for row in f:
row = row.strip()
ctg_ids.append(row)
aln1_outs = {}
all_ctg_out = {}
for ctg_id in ctg_ids:
# inputs
ref_fasta = makePypeLocalFile(
"./3-unzip/reads/{ctg_id}_ref.fa".format(ctg_id=ctg_id))
read_fasta = makePypeLocalFile(
"./3-unzip/reads/{ctg_id}_reads.fa".format(ctg_id=ctg_id))
# outputs
wd = os.path.join(
os.getcwd(), "./3-unzip/0-phasing/{ctg_id}/".format(ctg_id=ctg_id))
mkdir(wd)
ctg_aln_out = makePypeLocalFile(
os.path.join(wd, "{ctg_id}_sorted.bam".format(ctg_id=ctg_id)))
job_done = makePypeLocalFile(
os.path.join(wd, "aln_{ctg_id}_done".format(ctg_id=ctg_id)))
parameters = {
"job_uid": "aln-" + ctg_id,
"wd": wd,
"config": config,
"ctg_id": ctg_id
}
make_blasr_task = PypeTask(
inputs={
"ref_fasta": ref_fasta,
"read_fasta": read_fasta
},
outputs={
"ctg_aln_out": ctg_aln_out,
"job_done": job_done
},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/aln_{ctg_id}".format(ctg_id=ctg_id))
blasr_task = make_blasr_task(task_run_blasr)
aln1_outs[ctg_id] = (ctg_aln_out, job_done)
wf.addTask(blasr_task)
job_done = makePypeLocalFile(
os.path.join(wd, "p_{ctg_id}_done".format(ctg_id=ctg_id)))
rid_to_phase_out = makePypeLocalFile(
os.path.join(wd, "rid_to_phase.{ctg_id}".format(ctg_id=ctg_id)))
all_ctg_out["r2p.{ctg_id}".format(ctg_id=ctg_id)] = rid_to_phase_out
parameters = {
"job_uid": "ha-" + ctg_id,
"wd": wd,
"config": config,
"ctg_id": ctg_id
}
make_phasing_task = PypeTask(
inputs={
"ref_fasta": ref_fasta,
"aln_bam": ctg_aln_out
},
outputs={"job_done": job_done},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/p_{ctg_id}".format(ctg_id=ctg_id))
phasing_task = make_phasing_task(task_phasing)
wf.addTask(phasing_task)
wf.refreshTargets()
hasm_wd = os.path.abspath("./3-unzip/1-hasm/")
mkdir(hasm_wd)
rid_to_phase_all = makePypeLocalFile(
os.path.join(hasm_wd, "rid_to_phase.all"))
@PypeTask(inputs=all_ctg_out,
outputs={"rid_to_phase_all": rid_to_phase_all},
TaskType=PypeThreadTaskBase,
URL="task://localhost/rid_to_phase_all")
def get_rid_to_phase_all(self):
rid_to_phase_all_fn = fn(self.rid_to_phase_all)
inputs_fn = [fn(f) for f in self.inputs.values()]
inputs_fn.sort()
output = []
for fname in inputs_fn:
output.extend(open(fname).read())
out = open(rid_to_phase_all_fn, "w")
out.write("".join(output))
out.close()
wf.addTask(get_rid_to_phase_all)
parameters["wd"] = hasm_wd
job_done = makePypeLocalFile(os.path.join(hasm_wd, "hasm_done"))
make_hasm_task = PypeTask(inputs={"rid_to_phase_all": rid_to_phase_all},
outputs={"job_done": job_done},
parameters=parameters,
TaskType=PypeThreadTaskBase,
URL="task://localhost/hasm")
hasm_task = make_hasm_task(task_hasm)
wf.addTask(hasm_task)
wf.refreshTargets()
job_name = self.URL.split("/")[-1]
job_name += "-"+str(uuid.uuid1())[:8]
job_data = {"job_name": job_name,
"cwd": cwd,
"sge_option": " -pe smp 6 -q huasm ",
"script_fn": script_fn }
run_script(job_data, job_type = "SGE")
wait_for_file( os.path.join(cwd,"c_%05d_done" % job_id) , task=self, job_name=job_name )
if __name__ == "__main__":
prefix = sys.argv[1]
concurrent_jobs = 16
PypeThreadWorkflow.setNumThreadAllowed(concurrent_jobs, concurrent_jobs)
wf = PypeThreadWorkflow()
mjob_data = {}
with open("run_jobs.sh") as f:
for l in f:
l = l.strip().split()
if l[0] not in ( "LAsort", "LAmerge" ):
continue
if l[0] == "LAsort":
p_id = int( l[2].split(".")[1] )
mjob_data.setdefault( p_id, [] )
mjob_data[p_id].append( " ".join(l) )
if l[0] == "LAmerge":
l2 = l[2].split(".")
unzip_concurrent_jobs = config.getint('Unzip', 'unzip_concurrent_jobs')
config = {"job_type": job_type,
"sge_blasr_aln": sge_blasr_aln,
"smrt_bin": smrt_bin,
"sge_phasing": sge_phasing}
support.job_type = "SGE" #tmp hack until we have a configuration parser
ctg_ids = []
with open("./3-unzip/reads/ctg_list") as f:
for row in f:
row = row.strip()
ctg_ids.append( row )
PypeThreadWorkflow.setNumThreadAllowed(unzip_concurrent_jobs, unzip_concurrent_jobs)
wf = PypeThreadWorkflow()
ctg_list_file = makePypeLocalFile("./3-unzip/reads/ctg_list")
aln1_outs = {}
for ctg_id in ctg_ids:
# inputs
ref_fasta = makePypeLocalFile("./3-unzip/reads/{ctg_id}_ref.fa".format(ctg_id = ctg_id))
read_fasta = makePypeLocalFile("./3-unzip/reads/{ctg_id}_reads.fa".format(ctg_id = ctg_id))
# outputs
wd = os.path.join( os.getcwd(), "./3-unzip/0-phasing/{ctg_id}/".format( ctg_id = ctg_id ) )
mkdir(wd)
ctg_aln_out = makePypeLocalFile( os.path.join( wd, "{ctg_id}_sorted.bam".format( ctg_id = ctg_id ) ) )
job_done = makePypeLocalFile( os.path.join( wd, "aln_{ctg_id}_done".format( ctg_id = ctg_id ) ) )
