def combine_alignments(file_list, output):
assert(all([__is_mapped(x) for x in file_list]))
command = ("java -Xmx{xmx} -Xms{xms} -Djava.io.tmpdir={tmp} -jar {picard} "
"-T MergeSAMFiles {input_files} O={output_files}").format(
xms="10G", xmx="12G", tmp="~/tmp",
picard="~/.prog/picard-tools-2.5.0/picard.jar",
input_files="".join(["I={} ".format(x) for x in file_list]),
output_files=output
) # Use picard merge SAM to merge the files
bash(command)
def __merge_bam(self, files, combined_name):
if self.dry_run:
return
try:
if not isfile(combined_name):
bash("samtools merge {} {}".format(combined_name,
" ".join(files)))
else:
if self.verbose:
print("{} already exists, using it...".format(
combined_name), file=stderr)
except (IOError, OSError) as err:
print("Error while combining files: {}".format(err), file=stderr)
raise (err)
def __merge_bam_files(self):
bam_files = [f for f in self.files if f.endswith(".bam")]
output_bam = join(self.input_root, self.all_reads_name)
def __samtools_threads():
return (str(min(self.get_threads(), 8)))
if isfile(output_bam):
print("Output BAM already exists, using it...", file=stderr)
return(output_bam)
try:
(out, err) = bash("samtools -@ {t} -m {mem_p_t} "
"{o_bam} {i_bams}").format(t=__samtools_threads(),
mem_p_t="2G",
o_bam=output_bam,
i_bams=" ".join(
bam_files))
if err:
print(err, file=stderr)
except Exception as error:
print("Error while merging bam files: {}".format(error),
file=stderr)
raise (error)
return (output_bam)
def sbatch(command, *args):
script = "echo '#!/usr/bin/env bash\n{}' | sbatch".format(command)
for argument in args:
script += " {}".format(argument)
return (bash(script))
def qsub(command, *args):
script = ("echo '#!/usr/bin/env bash\n{}' | qsub".format(command))
for argument in args:
script += " {}".format(argument)
return (bash(script))
def get_barcode(filename):
display_filename = "cat {}".format(filename)
if filename.endswith(".gz"):
display_filename = "gunzip -c {}".format(filename)
command = ("{} | head -n 10000 | grep ^@ | cut -d':' -f10 | tr -d ' ' "
"| sort | uniq -c | sort -nr | head -1 | sed -e "
"'s/^[[:space:]]*//' | cut -d ' ' -f2").format(display_filename)
return bash(command)[0]
def main(reference="reference.fa", job_prefix="Map_Tests"):
speeds = ["vfast", "fast", "normal", "slow", "vslow"]
modulos = ["--usemodulo"]
stats = ["--stats", ""]
reads = ["100"]
command = ("map.py --verbose --partition=bigmemm --memory={mem} --cpus=14 "
"[email protected] --extension=.fastq.gz$ "
"--email_options=FAIL,END --input_root=ErrCorrect_Repair.1 "
"--output_root={outroot} --job_name={jobname} {modulo} --pigz "
"--speed={speed} {stats} --num_reads={reads} "
"--reference={reference} --read_groups")
for i, speed in enumerate(speeds):
for j, modulo in enumerate(modulos):
for k, stat in enumerate(stats):
for l, read in enumerate(reads):
mem = "300G"
def __opts():
s = speed
m = "no_modulo"
st = "no_stats"
r = read
if j == 0:
m = "modulo"
if k == 0:
st = "stats"
return {'s':s, 'm':m, 'st':st, 'r':r}
jobname = job_prefix + ".{s}.{m}.{st}.{r}.".format(
**__opts()
)
outroot = "Map_Tests/Map_Test.{s}.{m}.{st}.{r}".format(
**__opts()
)
args = split(command.format(
speed=speed,
modulo=modulo,
stats=stat,
reads=read,
mem=mem,
jobname=jobname,
outroot=outroot,
reference=ref
))
(out, err) = bash(*args)
print(out)
print(err, file=stderr)
def main(fastq, mapped):
(fastq_sizes, err) = bash("find -L {f}/ -iname *q.gz | "
"parallel --gnu -j4 \"du -sb --apparent-size "
"{{}}\"".format(f=fastq.rstrip('/')))
(map_sizes, err2) = bash("find -L {f}/ -iname *001.sam | parallel "
"--gnu -j4 \"du -sb --apparent-size {{}}\"".format(
f=mapped.rstrip('/')))
read1 = {}
read2 = {}
mapped = {}
for line in fastq_sizes.splitlines():
chunks = line.split()
name = basename(chunks[1]).split("_R")[0]
size = chunks[0]
if "_R1" in chunks[1]:
read1[name] = size
if "_R2" in chunks[1]:
read2[name] = size
for line in map_sizes.splitlines():
chunks = line.split()
name = basename(chunks[1]).split("_pe")[0]
size = chunks[0]
mapped[name] = size
table = {}
for key, val in mapped.items():
table[key] = [read1[key], read2[key], val]
with open("filesizes", "w") as fh:
for key, val in table.items():
fh.write("{}\t{}\t{}\t{}\n".format(key, *val))
(out, err) = bash("plot_map_sizes.R")
print(out)
def rgpu(self, filename):
lane = "1"
d_filename = "cat {}".format(filename)
if filename.endswith(".gz"):
d_filename = "gunzip -c {}".format(filename)
command1 = ("{} | head -n 10000 | grep ^@ | cut -d':' -f10 | tr -d ' ' "
"| sort | uniq -c | sort -nr | head -1 | sed -e "
"'s/^[[:space:]]*//' | cut -d ' ' -f2").format(d_filename)
try:
barcode = bash(command1)[0].strip()
if self.verbose:
print("Barcode: {bar}".format(bar=barcode), file=stderr)
except:
print("Could not determine barcode", file=stderr)
try:
lane = int(search("(?<=_L)[0-9]{1,3}(?=.*_R[1|2])",
filename).group(0))
except AttributeError:
command2 = ("{} | head -n 10000 | grep ^@ | cut -d':' -f4 | tr -d "
"' ' | sort | uniq -c | sort -nr | head -1 | sed -e "
"'s/^[[:space:]]*//' | cut -d ' ' -f2").format(
d_filename
) # strip lane number
try:
lane = bash(command2)[0].strip()
if self.verbose:
print("Lane: {lane}".format(lane=lane))
except:
print("Could not determine lane number", file=stderr)
return("{}.{}".format(barcode, lane))
def scontrol(*args):
return (bash("scontrol", *args))
def qstat(*args):
return (bash("qstat", *args))
def squeue(*args):
return (bash("squeue", *args))
def scancel(*args):
return (bash("scancel", *args))
def qjob(job):
return (bash("qstat -j", job))
def submit_job(command_str, verbose=False, dry_run=False, **kwargs):
"""
Anticipated positional args:
command_str - The command to be wrapped for submission to scheduler
Anticipated keyword args:
memory - The memory to be allocated to this job
nodes - The nodes to be allocated
cpus - The cpus **per node** to request
partition - The queue name or partition name for the submitted job
job_name - The name of the job
depends_on - The dependencies (as comma separated list of job numbers)
email_address - The email address to use for notifications
email_options - Email options: START|BEGIN,END|FINISH,FAIL|ABORT
time - time to request from the scheduler
bash - The bash shebang line to use in the script
input - The input filename for the job
output - The output filename for the job
error - The error filename for the job
"""
shebang_line = "#!/usr/bin/env bash"
if "bash" in kwargs:
shebang_line = kwargs["bash"]
script = ("{shebang_line}\n{command}").format(shebang_line=shebang_line,
command=command_str)
sub_command = ("echo '{}' | {}")
sub_script = "" # Will hold entire string that will be send to bash shell
if get_backend() == "slurm": # Format with slurm options
sub_script = sub_command.format(script, __submit_slurm(**kwargs))
elif get_backend() == "torque": # Format with torque options
sub_script = sub_command.format(script, __submit_torque(**kwargs))
if verbose:
print(sub_script, file=sys.stderr)
stdout = ""
stderr = ""
if not dry_run:
(stdout, stderr) = bash(
sub_script) # Actaully call the script using bash
try: # To parse the output based on expected successful submission result
chunks = stdout.split(" ")
for chunk in chunks:
if any([x.isdigit() for x in chunk.strip()]):
return (
chunk.strip()) # First try to grab IDs from sentences
if get_backend() == "slurm": # If still here, try common output formats
# Successfully submitted job <Job ID>
return (stdout.split(" ")[-1].strip("\n"))
if get_backend() == "torque":
# <Job ID>.hostname.etc.etc
return (stdout.split(".")[0])
if stderr:
print(stderr, file=stderr)
except (ValueError, IndexError) as err:
print("Could not capture Job ID! Dependency checks may fail!")
print("Err: {}".format(err))
return ("")
else:
return ("")
def qdel(*args):
return (bash("qdel", *args))
def qalter(*args):
return (bash("qalter", *args))
def qresub(*args):
return (bash("qresub", *args))
