def concatinate(self, outputdir):
# create a dir for output
create_outputdir(outputdir)
# print actual informations about the step on stdout
print_step(self.step_number,
'Assembly',
'Concatinate Reads',
self.concat_parameter)
newline()
# open the logfile
logfile = open_logfile(self.logdir + 'concatination.log')
# start the program Flash with parameter from the conf file a
# errors will be piped to extra error logfile
p = subprocess.Popen(shlex.split('%s -t %d -d %s %s %s' % (self.flash_exe,
self.threads,
outputdir,
self.concat_parameter,
self.input)),
stdout = subprocess.PIPE,
stderr = open_logfile(self.logdir + 'flash.err.log'))
# during processing print Flash output in verbose mode and update the logfile
while p.poll() is None:
if self.verbose:
print_verbose(p.stdout.readline())
logfile.write(p.stdout.readline())
else:
print_compact(p.stdout.readline().rstrip('\n'))
logfile.write(p.stdout.readline())
# wait until process is finished
p.wait()
if p.returncode:
raise FlashException(self.logdir + 'flash.err.log')
else:
# remove empty error logs
remove_empty_logfile(self.logdir + 'flash.err.log')
# print summary of the process after completion
newline()
print_verbose('Concatination complete \n')
print_running_time(self.time)
def parse_to_db(self, input, output):
# create a dir for output
create_outputdir(output)
# generate filename for db
outfile = output + os.sep + self.parser_name + '.db'
# remove old databases with same name
if os.path.exists(outfile):
os.remove(outfile)
# print actual informations about the step on stdout
print_step(self.step_number, 'Analysis',
'Parse database from blast results',
self.parser_parameter)
newline()
# start the parser and wait until completion
p = subprocess.Popen(shlex.split('%s -o %s %s %s' % (self.parser_exe,
outfile,
self.parser_parameter,
input)),
stdout = subprocess.PIPE,
stderr = open_logfile(self.logdir + 'parser.err.log'))
# print information about the status
while p.poll() is None:
if self.verbose:
print_verbose(p.stdout.readline())
else:
print_compact(p.stdout.readline().rstrip('\n'))
# wait until process is complete
p.wait()
# save the exit code for later function calls
self.exitcode = p.returncode
# raise Exception when an error occurs during processing
if p.returncode:
raise ParserException(self.logdir + 'parser.err.log')
else:
# remove empty error logs
remove_empty_logfile(self.logdir + 'parser.err.log')
# print summary of the process after completion
print_verbose('Parsing of blast XML File complete \n')
print_running_time(self.time)
newline()
def qualityCheck(self):
# create a dir for output
create_outputdir(self.quality_dir)
# print actual informations about the step on stdout
print_step(self.step_number,
'Preprocess',
'quality analysis',
self.fastqc_parameter)
newline()
# run FastQC with the given parameter, in seperate threads and extract the output
p = subprocess.Popen(shlex.split('%s -t %s -o %s --extract %s %s'
% (self.fastqc_exe,
self.threads,
self.quality_dir,
self.fastqc_parameter,
to_string(self.input))),
stdout = subprocess.PIPE,
stderr = subprocess.PIPE)
# during processing pipe the output and print it on screen
while p.poll() is None:
if self.verbose:
print_verbose(p.stderr.readline())
else:
print_compact(p.stderr.readline().rstrip('\n'))
# wait until process is finished
p.wait()
if p.returncode:
raise FastQCException()
else:
# print summary of the process after completion
print_verbose('Quality check complete for %s\n' % (self.input))
print_running_time(self.time)
newline()
def metacv(self, outputdir):
# create a dir for output
create_outputdir(outputdir)
# select the input for metacv and convert it in an usable format
if self.contigs is True:
input = to_string(self.input)
else:
input = to_string(self.raw)
# print actual informations about the step on stdout
print_step(self.step_number,
'Annotation',
'Annotate bacterial reads with MetaCV',
'%s %s %s' % (self.metacv_seq,
self.metacv_mode,
self.metacv_orf))
newline()
# metacv has a maximum thread number of 64
# parameter has to be adjusted
if self.threads > 64:
threads = 64
else:
threads = self.threads
classify = open_logfile(self.logdir + 'metacv.classify.log')
# start MetaCV function and wait until completion
p = subprocess.Popen(shlex.split('%s classify %s %s %s %s %s %s --threads=%s' %
(self.metacv_exe,
self.metacv_db,
input,
self.metacv_name,
self.metacv_seq,
self.metacv_mode,
self.metacv_orf,
threads)),
stderr = subprocess.PIPE,
stdout = subprocess.PIPE,
cwd = outputdir + os.sep)
# during processing pipe the output and print it on screen
while p.poll() is None:
if self.verbose:
print_verbose(p.stderr.readline())
classify.write(p.stderr.readline())
else:
print_compact(p.stderr.readline().rstrip('\n'))
classify.write(p.stderr.readline())
# wait until process is finished
p.wait()
if p.returncode:
raise MetaCVException(self.logdir + 'metacv.classify.log')
else:
# remove unused error logs
remove_empty_logfile(self.logdir + 'metacv.classify.log')
# print actual informations about the step on stdout
print_step(self.step_number,
'Annotation',
'Analyse the results of MetaCV',
'%s %s %s' % (self.metacv_total_reads,
self.metacv_min_qual,
self.metacv_taxon))
newline()
res2table = open_logfile(self.logdir + 'metacv.res2table.log')
# start MetaCV's res2table function and wait until completion
p = subprocess.Popen(shlex.split('%s res2table %s %s %s %s %s %s --threads=%s' %
(self.metacv_exe,
self.metacv_db,
to_string(update_reads(outputdir,'metpipe','res')),
self.metacv_name + '.res2table',
self.metacv_total_reads,
self.metacv_min_qual,
self.metacv_taxon,
threads)),
stderr = subprocess.PIPE,
stdout = subprocess.PIPE,
cwd = outputdir + os.sep)
# during processing pipe the output and print it on screen
while p.poll() is None:
if self.verbose:
print_verbose(p.stderr.readline())
res2table.write(p.stderr.readline())
else:
print_compact(p.stderr.readline().rstrip('\n'))
res2table.write(p.stderr.readline())
# wait until process is finished
p.wait()
if p.returncode:
raise MetaCVSumException(self.logdir + 'metacv.res2table.log')
else:
# remove unused error logs
remove_empty_logfile(self.logdir + 'metacv.res2table.log')
# print actual informations about the step on stdout
print_step(self.step_number,
'Annotation',
'Summarize the results of MetaCV',
self.metacv_min_qual)
newline()
res2sum = open_logfile(self.logdir + 'metacv.res2sum.log')
# start MetaCV's res2sum function and wait until completion
# the workingdir must be specified to maintain the correct
# order of output files
p = subprocess.Popen(shlex.split('%s res2sum %s %s %s %s' %
(self.metacv_exe,
self.metacv_db,
to_string(update_reads(outputdir,'metpipe','res')),
self.metacv_name + '.res2sum',
self.metacv_min_qual)),
stderr = subprocess.PIPE,
stdout = subprocess.PIPE,
cwd = outputdir + os.sep)
# during processing pipe the output and print it on screen
while p.poll() is None:
if self.verbose:
print_verbose(p.stderr.readline())
res2sum.write(p.stderr.readline())
else:
print_compact(p.stderr.readline().rstrip('\n'))
res2sum.write(p.stderr.readline())
# wait until process is finished
p.wait()
if p.returncode:
raise MetaCVSumException(self.logdir + 'metacv.res2sum.log')
else:
# remove unused error logs
remove_empty_logfile(self.logdir + 'metacv.res2sum.log')
# print summary of the process after completion
print_verbose('Annotation with MetaCV complete \n')
print_running_time(self.time)
newline()
