core_cmd.insert(3, hints_input)
if Input in ranges:
start = ranges.get(Input)[0]
end = ranges.get(Input)[1]
core_cmd.insert(2, '--predictionStart=' + str(start))
core_cmd.insert(3, '--predictionEnd=' + str(end))
# try using library module
lib.runSubprocess2(core_cmd, '.', lib.log, aug_out)
log_name = args.logfile
if os.path.isfile(log_name):
os.remove(log_name)
# initialize script, log system info and cmd issue at runtime
lib.setupLogging(log_name)
cmd_args = " ".join(sys.argv) + '\n'
lib.log.debug(cmd_args)
lib.log.debug('AUGUSTUS_CONFIG_PATH={:}'.format(AUGUSTUS))
lib.log.debug('Augustus Base directory={:}'.format(AUGUSTUS_BASE))
lib.log.debug('Local Augustus path={:}'.format(LOCALAUGUSTUS))
# first step is to split input fasta file into individual files in tmp folder
lib.log.debug("Splitting contigs and hints files")
tmpdir = 'augustus_tmp_' + str(os.getpid())
os.makedirs(tmpdir)
scaffolds = []
global ranges
ranges = {}
with open(args.input, 'r') as InputFasta:
def main(args):
# setup menu with argparse
class MyFormatter(argparse.ArgumentDefaultsHelpFormatter):
def __init__(self, prog):
super(MyFormatter, self).__init__(prog, max_help_position=48)
parser = argparse.ArgumentParser(
prog='fix',
usage="%(prog)s [options] -i genome.GBK -t genome.tbl",
description=
'''Script will update annotation of a Genbank file with new tbl.''',
epilog="""Written by Jon Palmer (2017) [email protected]""",
formatter_class=MyFormatter)
parser.add_argument('-i',
'--input',
required=True,
help='Genome in GBK format')
parser.add_argument('-t',
'--tbl',
required=True,
help='Genome annotation in NCBI tbl format')
parser.add_argument(
'-d',
'--drop',
help='List of locus_tag to remove/drop from annotation')
parser.add_argument('-o', '--out', help='Basename of output files')
parser.add_argument('--tbl2asn',
default='-l paired-ends',
help='Parameters for tbl2asn, linkage and gap info')
args = parser.parse_args(args)
parentdir = os.path.join(os.path.dirname(__file__))
# create log file
log_name = 'funannotate-fix.log'
if os.path.isfile(log_name):
os.remove(log_name)
# initialize script, log system info and cmd issue at runtime
lib.setupLogging(log_name)
cmd_args = " ".join(sys.argv) + '\n'
lib.log.debug(cmd_args)
print("-------------------------------------------------------")
lib.SystemInfo()
# get version of funannotate
version = lib.get_version()
lib.log.info("Running %s" % version)
# create output and temporary directory
if args.out:
basedir = args.out
else:
# get location from tbl file
basedir = os.path.dirname(args.tbl)
if basedir == '':
basedir = '.'
if not os.path.isdir(basedir):
os.makedirs(basedir)
if not os.path.isdir(os.path.join(basedir, 'tbl2asn')):
os.makedirs(os.path.join(basedir, 'tbl2asn'))
# copy over the annotation file to tbl2asn folder, or process if args.drop passed
if args.drop:
lib.tblfilter(args.tbl, args.drop,
os.path.join(basedir, 'tbl2asn', 'genome.tbl'))
else:
shutil.copyfile(args.tbl, os.path.join(basedir, 'tbl2asn',
'genome.tbl'))
# get information info from GBK file
organism, strain, isolate, accession, WGS_accession, gb_gi, version = lib.getGBKinfo(
args.input)
locustag, genenum, justify = lib.getGBKLocusTag(args.input)
if strain:
organism_name = organism + '_' + strain
elif isolate:
organism_name = organism + '_' + isolate
else:
organism_name = organism
organism_name = organism_name.replace(' ', '_')
# extract fasta file from genbank file,
lib.log.info('Extracting genome sequence and parsing meta information')
contigs, genes, trnas = lib.countGenBank(args.input)
lib.log.info(
'{:,} contigs containing {:,} protein coding genes and {:,} tRNA genes'
.format(contigs, genes, trnas))
lib.gb2dna(args.input, os.path.join(basedir, 'tbl2asn', 'genome.fsa'))
# assuming that this is the predict_results dir or update_results dir, but check first and then archive
if '_results' in basedir:
archivedir = os.path.join(basedir, 'archive_' + str(os.getpid()))
lib.log.info('Found pre-existing funannotate files, archiving to %s' %
archivedir)
os.makedirs(archivedir)
# move files in results to archive dir
for file in os.listdir(basedir):
if 'pasa-reannotation' in file or 'WGS_accession' in file or 'ncbi.p2g' in file or '.parameters.json' in file:
continue
if os.path.isfile(os.path.join(basedir, file)):
os.rename(os.path.join(basedir, file),
os.path.join(archivedir, file))
# now we can run tbl2asn
SBT = os.path.join(parentdir, 'config', 'test.sbt')
discrep = os.path.join(basedir, organism_name + '.discrepency.txt')
if not version:
version = 1
lib.log.info('Converting to GenBank format')
# have to run as subprocess because of multiprocessing issues
cmd = [
sys.executable,
os.path.join(parentdir, 'aux_scripts', 'tbl2asn_parallel.py'), '-i',
os.path.join(basedir, 'tbl2asn', 'genome.tbl'), '-f',
os.path.join(basedir, 'tbl2asn', 'genome.fsa'), '-o',
os.path.join(basedir, 'tbl2asn'), '--sbt', SBT, '-d', discrep, '-s',
organism, '-t', args.tbl2asn, '-v',
str(version), '-c', '4'
]
if isolate:
cmd += ['--isolate', isolate]
if strain:
cmd += ['--strain', strain]
lib.log.debug(' '.join(cmd))
subprocess.call(cmd)
# now get GBK files from folder
lib.log.info('Generating output files.')
# setup final output files
final_fasta = os.path.join(basedir, organism_name + '.scaffolds.fa')
final_gff = os.path.join(basedir, organism_name + '.gff3')
final_gbk = os.path.join(basedir, organism_name + '.gbk')
final_tbl = os.path.join(basedir, organism_name + '.tbl')
final_proteins = os.path.join(basedir, organism_name + '.proteins.fa')
final_transcripts = os.path.join(basedir,
organism_name + '.mrna-transcripts.fa')
final_cds_transcripts = os.path.join(basedir,
organism_name + '.cds-transcripts.fa')
final_validation = os.path.join(basedir, organism_name + '.validation.txt')
final_error = os.path.join(basedir, organism_name + '.error.summary.txt')
final_fixes = os.path.join(basedir,
organism_name + '.models-need-fixing.txt')
# retrieve files/reorganize
shutil.copyfile(os.path.join(basedir, 'tbl2asn', 'genome.gbf'), final_gbk)
shutil.copyfile(os.path.join(basedir, 'tbl2asn', 'genome.tbl'), final_tbl)
shutil.copyfile(os.path.join(basedir, 'tbl2asn', 'genome.val'),
final_validation)
shutil.copyfile(os.path.join(basedir, 'tbl2asn', 'errorsummary.val'),
final_error)
lib.tbl2allout(final_tbl, os.path.join(basedir, 'tbl2asn', 'genome.fsa'),
final_gff, final_proteins, final_transcripts,
final_cds_transcripts, final_fasta)
errors = lib.ncbiCheckErrors(final_error, final_validation, locustag,
final_fixes)
if errors > 0:
lib.log.info(
"Manually edit the tbl file %s, then run:\n\nfunannotate fix -i %s -t %s\n"
% (final_tbl, final_gbk, final_tbl))
else:
contigs, genes, trnas = lib.countGenBank(final_gbk)
lib.log.info(
'Output genome consists of: {:,} contigs containing {:,} protein coding genes and {:,} tRNA genes'
.format(contigs, genes, trnas))
# clean up
shutil.rmtree(os.path.join(basedir, 'tbl2asn'))
def main(args):
# setup menu with argparse
class MyFormatter(argparse.ArgumentDefaultsHelpFormatter):
def __init__(self, prog):
super(MyFormatter, self).__init__(prog, max_help_position=48)
parser = argparse.ArgumentParser(
prog='funannotate-mask.py',
description='''Wrapper for RepeatModeler/RepeatMasker''',
epilog="""Written by Jon Palmer (2018) [email protected]""",
formatter_class=MyFormatter)
parser.add_argument('-i',
'--input',
required=True,
help='genome assembly FASTA format')
parser.add_argument('-o',
'--out',
required=True,
help='Output softmasked FASTA file')
parser.add_argument('--debug',
action='store_true',
help='Keep intermediate files')
parser.add_argument('-m',
'--method',
default='tantan',
choices=['repeatmodeler', 'repeatmasker', 'tantan'],
help='Method to mask repeats with')
parser.add_argument('-s',
'--repeatmasker_species',
help='RepeatMasker species, will skip repeatmodeler')
parser.add_argument(
'-l',
'--repeatmodeler_lib',
help='Pre-computed RepeatModeler (or other) repetitive elements')
parser.add_argument('--cpus',
default=2,
type=int,
help='Number of CPUs to use')
args = parser.parse_args(args)
# create log file for Repeats(capture stderr)
log_name = 'funannotate-mask.log'
if os.path.isfile(log_name):
os.remove(log_name)
# initialize script, log system info and cmd issue at runtime
lib.setupLogging(log_name)
cmd_args = " ".join(sys.argv) + '\n'
lib.log.debug(cmd_args)
print("-------------------------------------------------------")
lib.SystemInfo()
# get version of funannotate
version = lib.get_version()
lib.log.info("Running funanotate v{:}".format(version))
repeats = None
tmpdir = None
if args.method == 'tantan':
programs = ['tantan']
lib.CheckDependencies(programs)
lib.log.info('Soft-masking simple repeats with tantan')
runTanTan(args.input, args.out)
else:
programs = ['RepeatMasker']
if args.method == 'repeatmodeler':
programs += ['BuildDatabase', 'RepeatModeler']
lib.CheckDependencies(programs)
# create tmpdir
pid = uuid.uuid4()
tmpdir = 'mask_' + str(pid)
os.makedirs(tmpdir)
# parse options which dictates how repeatmodeler/masker are run
if not args.repeatmodeler_lib: # no fasta file given, so
if not args.repeatmasker_species: # no species given, so run entire repeatmodler + repeat masker
repeats = 'repeatmodeler-library.' + str(pid) + '.fasta'
RepeatModelMask(args.input, args.cpus, tmpdir, args.out,
repeats, args.repeatmasker_species, log_name)
else:
RepeatMaskSpecies(args.input, args.repeatmasker_species,
args.cpus, tmpdir, args.out, log_name)
else:
if lib.checkannotations(args.repeatmodeler_lib):
RepeatMask(args.input, args.repeatmodeler_lib, args.cpus,
tmpdir, args.out, log_name)
else:
lib.log.error(
'ERROR: repeat library is not a valid file: {:}'.format(
args.repeatmodeler_lib))
sys.exit(1)
# output some stats on %reads masked.
scaffolds = 0
maskedSize = 0
GenomeLength = 0
with open(args.out, 'r') as input:
for rec, Seq in SimpleFastaParser(input):
scaffolds += 1
GenomeLength += len(Seq)
maskedSize += lib.n_lower_chars(Seq)
percentMask = maskedSize / float(GenomeLength)
lib.log.info(
'Repeat soft-masking finished: \nMasked genome: {:}\nnum scaffolds: {:,}\nassembly size: {:,} bp\nmasked repeats: {:,} bp ({:.2f}%)'
.format(os.path.abspath(args.out), scaffolds, GenomeLength, maskedSize,
percentMask * 100))
if repeats:
lib.log.info('RepeatModeler library: {:}'.format(repeats))
# clean up
if not args.debug:
if tmpdir:
lib.SafeRemove(tmpdir)
print("-------------------------------------------------------")
def main(args):
# setup menu with argparse
class MyFormatter(argparse.ArgumentDefaultsHelpFormatter):
def __init__(self, prog):
super(MyFormatter, self).__init__(prog, max_help_position=48)
parser = argparse.ArgumentParser(
prog='funannotate-remote.py',
description=
'''Script that adds functional annotation to a genome using remote searches.''',
epilog="""Written by Jon Palmer (2016-2017) [email protected]""",
formatter_class=MyFormatter)
parser.add_argument('-i',
'--input',
help='Folder from funannotate predict.')
parser.add_argument('-g',
'--genbank',
help='Annotated genome in GenBank format')
parser.add_argument('-m',
'--methods',
required=True,
nargs='+',
choices=['all', 'phobius', 'antismash'],
help='Method to run')
parser.add_argument('-o', '--out', help='Basename of output files')
parser.add_argument('-e',
'--email',
required=True,
help='Email address for IPRSCAN server')
parser.add_argument('--force',
action='store_true',
help='Over-write output folder')
parser.add_argument('-a',
'--antismash',
default='fungi',
choices=['fungi', 'plants'],
help='antiSMASH server')
args = parser.parse_args(args)
global parentdir, RUNIPRSCAN, XMLCombine
parentdir = os.path.join(os.path.dirname(__file__))
RUNIPRSCAN = os.path.join(parentdir, 'aux_scripts', 'runIPRscan.py')
XMLCombine = os.path.join(parentdir, 'aux_scripts', 'xmlcombine.py')
# create log file
log_name = 'funannotate-remote.log'
if os.path.isfile(log_name):
os.remove(log_name)
# initialize script, log system info and cmd issue at runtime
lib.setupLogging(log_name)
cmd_args = " ".join(sys.argv) + '\n'
lib.log.debug(cmd_args)
print "-------------------------------------------------------"
lib.SystemInfo()
# get version of funannotate
version = lib.get_version()
lib.log.info("Running %s" % version)
# need to do some checks here of the input
genbank = ''
Proteins = ''
tablefile = ''
Fastafile = ''
if not args.input:
# did not parse folder of funannotate results, so need either gb + gff or fasta + proteins, + gff and also need to have args.out for output folder
if not args.out:
lib.log.error(
"If you are not providing funannotate predict input folder, then you need to provide an output folder (--out)"
)
sys.exit(1)
else:
outputdir = args.out
# create outputdir and subdirs
if not os.path.isdir(outputdir):
os.makedirs(outputdir)
os.makedirs(os.path.join(outputdir, 'annotate_misc'))
os.makedirs(os.path.join(outputdir, 'annotate_results'))
os.makedirs(os.path.join(outputdir, 'logfiles'))
if not args.genbank:
lib.log.error(
"You did not specifiy the apropriate input files, either: \n1) Funannotate input \n2) GenBank"
)
sys.exit(1)
else:
# create output directories
if not os.path.isdir(outputdir):
os.makedirs(outputdir)
os.makedirs(os.path.join(outputdir, 'annotate_misc'))
os.makedirs(os.path.join(outputdir, 'annotate_results'))
os.makedirs(os.path.join(outputdir, 'logfiles'))
else:
lib.log.error("Output directory %s already exists" %
(outputdir))
if not os.path.isdir(os.path.join(outputdir, 'annotate_misc')):
os.makedirs(os.path.join(outputdir, 'annotate_misc'))
if not os.path.isdir(
os.path.join(outputdir, 'annotate_results')):
os.makedirs(os.path.join(outputdir, 'annotate_results'))
if not os.path.isdir(os.path.join(outputdir, 'logfiles')):
os.makedirs(os.path.join(outputdir, 'logfiles'))
genbank = args.genbank
Scaffolds = os.path.join(outputdir, 'annotate_misc',
'genome.scaffolds.fasta')
Proteins = os.path.join(outputdir, 'annotate_misc',
'genome.proteins.fasta')
Transcripts = os.path.join(outputdir, 'annotate_misc',
'genome.transcripts.fasta')
GFF = os.path.join(outputdir, 'annotate_misc', 'genome.gff3')
lib.log.info("Checking GenBank file for annotation")
if not lib.checkGenBank(genbank):
lib.log.error("Found no annotation in GenBank file, exiting")
sys.exit(1)
lib.gb2allout(genbank, GFF, Proteins, Transcripts, Scaffolds)
else:
# should be a folder, with funannotate files, thus store results there, no need to create output folder
if not os.path.isdir(args.input):
lib.log.error("%s directory does not exist" % args.input)
sys.exit(1)
# funannotate results should be here
if os.path.isdir(os.path.join(args.input, 'update_results')):
inputdir = os.path.join(args.input, 'update_results')
outputdir = args.input
elif os.path.isdir(os.path.join(args.input, 'predict_results')):
inputdir = os.path.join(args.input, 'predict_results')
outputdir = args.input
else:
# here user specified the predict_results folder, or it is a custom folder
inputdir = os.path.join(args.input)
# get files that you need
for file in os.listdir(inputdir):
if file.endswith('.gbk'):
genbank = os.path.join(inputdir, file)
elif file.endswith('.tbl'):
tablefile = os.path.join(inputdir, file)
elif file.endswith('.scaffolds.fa'):
Fastafile = os.path.join(inputdir, file)
# now create the files from genbank input file for consistency in gene naming, etc
if not genbank:
lib.log.error(
"Properly formatted 'funannotate predict' files do no exist in this directory"
)
sys.exit(1)
else:
# if user gave predict_results folder, then set output to up one directory
if 'predict_results' in inputdir or 'update_results' in inputdir:
outputdir = lib.get_parent_dir(inputdir)
else:
if not args.out:
outputdir = inputdir # output the results in the input directory
else:
outputdir = args.out
if not os.path.isdir(outputdir):
os.makedirs(outputdir)
# create output directories
if not os.path.isdir(os.path.join(outputdir, 'annotate_misc')):
os.makedirs(os.path.join(outputdir, 'annotate_misc'))
os.makedirs(os.path.join(outputdir, 'annotate_results'))
else:
lib.log.error(
"Output directory %s already exists, will use any existing data. If this is not what you want, exit, and provide a unique name for output folder"
% (outputdir))
lib.log.info("Parsing input files")
Scaffolds = os.path.join(outputdir, 'annotate_misc',
'genome.scaffolds.fasta')
Proteins = os.path.join(outputdir, 'annotate_misc',
'genome.proteins.fasta')
Transcripts = os.path.join(outputdir, 'annotate_misc',
'genome.mrna-transcripts.fasta')
CDSTranscripts = os.path.join(outputdir, 'annotate_misc',
'genome.cds-transcripts.fasta')
GFF = os.path.join(outputdir, 'annotate_misc', 'genome.gff3')
if tablefile and Fastafile:
lib.log.debug("Generating files from %s" % tablefile)
lib.tbl2allout(tablefile, Fastafile, GFF, Proteins,
Transcripts, CDSTranscripts, Scaffolds)
else:
lib.log.debug("Generating files from %s" % genbank)
lib.gb2allout(genbank, GFF, Proteins, Transcripts, Scaffolds)
# make sure logfiles directory is present, will need later
if not os.path.isdir(os.path.join(outputdir, 'logfiles')):
os.makedirs(os.path.join(outputdir, 'logfiles'))
# get absolute path for all input so there are no problems later, not using Transcripts yet could be error? so take out here
Proteins = os.path.abspath(Proteins)
genbank = os.path.abspath(genbank)
if 'phobius' in args.methods or 'all' in args.methods:
# run Phobius to predict secreted proteins and membrane, default is local if installed, otherwise remote
phobius_out = os.path.join(outputdir, 'annotate_misc',
'phobius.results.txt')
phobiusLog = os.path.join(outputdir, 'logfiles', 'phobius.log')
lib.log.info(
"Predicting secreted and transmembrane proteins using Phobius")
if not lib.checkannotations(phobius_out):
if args.email:
subprocess.call([
os.path.join(parentdir, 'aux_scripts',
'phobius-multiproc.py'), '-i', Proteins, '-o',
phobius_out, '-e',
str(args.email), '-l', phobiusLog
])
else:
subprocess.call([
os.path.join(parentdir, 'aux_scripts',
'phobius-multiproc.py'), '-i', Proteins, '-o',
phobius_out, '-l', phobiusLog
])
if 'antismash' in args.methods or 'all' in args.methods:
if args.antismash == 'fungi':
base_address = "https://fungismash.secondarymetabolites.org"
job_parameters = {
'email': args.email,
'ncbi': '',
'smcogs': 'on',
'knownclusterblast': 'on',
'activesitefinder': 'on',
'subclusterblast': 'on',
'jobtype': 'antismash5',
'hmmdetection_strictness': 'relaxed'
}
elif args.antismash == 'plants':
base_address = "https://plantismash.secondarymetabolites.org"
job_parameters = {
'email': args.email,
'knownclusterblast': 'on',
'subclusterblast': 'on'
}
version = requests.get(base_address + "/api/v1.0/version")
as_vers = version.json()['antismash_generation']
tax = version.json()['taxon']
as_status = requests.get(base_address + "/api/v1.0/stats")
queue = as_status.json()['queue_length']
running = as_status.json()['running']
lib.log.info("Connecting to antiSMASH %s v%s webserver" %
(tax, as_vers))
lib.log.info("Queue Length: %s; Jobs Running: %s" % (queue, running))
lib.log.info("PLEASE to not abuse the webserver, be considerate!")
if int(queue) > 10 and not args.force:
lib.log.error(
"There are more than 10 antiSMASH jobs in queue, use --force to submit anyway"
)
sys.exit(1)
job_files = {'seq': open(genbank, 'rb')}
lib.log.info("Uploading %s to webserver" % genbank)
postjob = requests.post(base_address + "/api/v1.0/submit",
files=job_files,
data=job_parameters)
jobid = postjob.json()['id']
# now we can query the job every so often, not sure what is reasonable here, start with 2 minutes?
lib.log.info("Waiting for results from job: %s" % jobid)
while True:
job_status = requests.get(base_address + "/api/v1.0/status/" +
jobid)
if job_status.json()['status'] == 'done':
break
time.sleep(60) # check every minute
result_url = job_status.json()['result_url']
base_url = result_url.replace('index.html', '')
lib.log.info("antiSMASH v%s job finished" % (as_vers))
lib.log.debug("%s" % job_status.json())
# need to retrieve results, have to find link, seems like this might be first scaffold name?
# after asking Kai Blin - there is no "easy" way to identify the output name, however, think I can grab the html file and parse it
job_html = requests.get(base_address + result_url)
link = None
for line in job_html.iter_lines():
if 'Download all results' in line:
cols = line.split('a href="')
for x in cols:
if '.zip' in x:
link = x.split('"')[0]
if not link:
lib.log.error('Error parsing output zip file from antismash')
sys.exit(1)
baselink = link.replace('.zip', '')
download_url = base_address + base_url + link
download(download_url, 'antiSMASH.zip')
# now unzip and move folder
zipref = zipfile.ZipFile('antiSMASH.zip', 'r')
zipref.extractall(os.path.join(outputdir, jobid))
zipref.close()
os.remove('antiSMASH.zip')
lib.log.info("Results folder: %s/%s" % (outputdir, jobid))
# now grab the GBK files from folder as you will need just that for annotation, place in annotate_misc folder for auto-detection
anti_GBK = os.path.join(outputdir, jobid, os.path.basename(genbank))
final = os.path.join(outputdir, 'annotate_misc',
'antiSMASH.results.gbk')
shutil.copyfile(anti_GBK, final)
lib.log.info("Results GBK: %s" % final)
lib.log.info("Remote searches complete")
# move logfile
if os.path.isfile(log_name):
shutil.copyfile(log_name, os.path.join(outputdir, 'logfiles',
log_name))
os.remove(log_name)
def main(args):
# setup menu with argparse
class MyFormatter(argparse.ArgumentDefaultsHelpFormatter):
def __init__(self, prog):
super(MyFormatter, self).__init__(prog, max_help_position=48)
parser = argparse.ArgumentParser(
prog='funannotate-predict.py',
usage="%(prog)s [options] -i genome.fasta",
description='''Script that adds a proteome to the outgroups.''',
epilog="""Written by Jon Palmer (2016) [email protected]""",
formatter_class=MyFormatter)
parser.add_argument('-i',
'--input',
required=True,
help='Proteome in FASTA format')
parser.add_argument('-s',
'--species',
required=True,
help='Species name "binomial in quotes"')
parser.add_argument(
'-b',
'--busco_db',
default='dikarya',
choices=[
'fungi', 'microsporidia', 'dikarya', 'ascomycota',
'pezizomycotina', 'eurotiomycetes', 'sordariomycetes',
'saccharomycetes', 'saccharomycetales', 'basidiomycota',
'eukaryota', 'protists', 'alveolata_stramenophiles', 'metazoa',
'nematoda', 'arthropoda', 'insecta', 'endopterygota',
'hymenoptera', 'diptera', 'vertebrata', 'actinopterygii',
'tetrapoda', 'aves', 'mammalia', 'euarchontoglires',
'laurasiatheria', 'embryophyta'
],
help='BUSCO database to use')
parser.add_argument('-c',
'--cpus',
default=2,
type=int,
help='Number of CPUs to use')
parser.add_argument('-d',
'--database',
help='Path to funannotate database, $FUNANNOTATE_DB')
args = parser.parse_args(args)
if args.database:
FUNDB = args.database
else:
try:
FUNDB = os.environ["FUNANNOTATE_DB"]
except KeyError:
lib.log.error(
'Funannotate database not properly configured, run funannotate setup.'
)
sys.exit(1)
parentdir = os.path.join(os.path.dirname(__file__))
# get base name
species = args.species.replace(' ', '_').lower() + '.' + args.busco_db
OUTGROUPS = os.path.join(FUNDB, 'outgroups')
# create log file
log_name = species + '-add2outgroups.log'
if os.path.isfile(log_name):
os.remove(log_name)
# initialize script, log system info and cmd issue at runtime
lib.setupLogging(log_name)
cmd_args = " ".join(sys.argv) + '\n'
lib.log.debug(cmd_args)
print("-------------------------------------------------------")
lib.SystemInfo()
# get version of funannotate
version = lib.get_version()
lib.log.info("Running %s" % version)
# check buscos, download if necessary
if not os.path.isdir(os.path.join(FUNDB, args.busco_db)):
lib.log.error(
"%s busco database is missing, install with funannotate setup -b %s"
% (args.busco_db, args.busco_db))
sys.exit(1)
ProtCount = lib.countfasta(args.input)
lib.log.info('{0:,}'.format(ProtCount) + ' protein records loaded')
# convert to proteins and screen with busco
lib.log.info("Looking for BUSCO models with %s DB" % args.busco_db)
BUSCODB = os.path.join(FUNDB, args.busco_db)
BUSCO = os.path.join(parentdir, 'aux_scripts', 'funannotate-BUSCO2.py')
cmd = [
sys.executable, BUSCO, '-i',
os.path.abspath(args.input), '-m', 'proteins', '--lineage', BUSCODB,
'-o', species, '--cpu',
str(args.cpus), '-f'
]
lib.runSubprocess(cmd, '.', lib.log)
# check that it ran correctly
busco_results = os.path.join('run_' + species,
'full_table_' + species + '.tsv')
if not lib.checkannotations(busco_results):
lib.log.error("BUSCO failed, check logfile")
sys.exit(1)
nameChange = {}
with open(busco_results, 'rU') as input:
for line in input:
if line.startswith('#'):
continue
cols = line.split('\t')
if cols[1] == 'Complete':
if not cols[2] in nameChange:
nameChange[cols[2]] = cols[0]
else:
lib.log.error(
"Duplicate ID found: %s %s. Removing from results" %
(cols[2], cols[0]))
del nameChange[cols[2]]
# output counts
lib.log.info('{0:,}'.format(len(nameChange)) + ' BUSCO models found')
# index the proteome for parsing
SeqRecords = SeqIO.to_dict(SeqIO.parse(args.input, 'fasta'))
# setup output proteome
busco_out = os.path.join(OUTGROUPS, species + '_buscos.fa')
with open(busco_out, 'w') as output:
for k, v in list(nameChange.items()):
rec = SeqRecords[k]
output.write('>%s\n%s\n' % (v, rec.seq))
lib.log.info("Results written to: %s" % busco_out)
# clean up your mess
shutil.rmtree('run_' + species)
shutil.rmtree('tmp')
