def run_random_select(self):
# java SeqRandomSampling does not seem to take the abs path for fastq files
merged_fq = '{}{}'.format(
self.sample_info.sample_name,
'.merged.primer_trim.len_trim.fastq'
)
cur_dir = os.getcwd()
os.chdir(self.hulk_sample_dir_path)
merged_fa = os.path.splitext(merged_fq)[0] + '.fasta'
SeqIO.convert(merged_fq, 'fastq', merged_fa, 'fasta')
if not os.path.exists(merged_fq):
print('{} is not found in {}'.format(
merged_fq,
self.hulk_sample_dir_path,
)
)
jar_cmd = ['java SeqRandomSampling',
'-c ',
self.random_num,
'-i',
merged_fa,
]
final_jar_cmd = ' '.join(str(x) for x in jar_cmd)
os.system(final_jar_cmd)
os.chdir(cur_dir)
def main(argv):
inputfile = ''
outputfile = ''
try:
opts, args = getopt.getopt(argv, 'hi:')
except getopt.GetoptError:
print "Incorrect syntax: Use '-h' for help."
with open('fastq2fasta_error-log.txt', 'w') as error:
error.write("Syntax Error\n")
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print('Use Syntax: fastq2fasta.py -i <inputfile>')
sys.exit()
elif opt == '-i':
inputfile = arg
filename, extension = os.path.splitext(arg)
outputfile = '%s.fasta' % (filename)
if inputfile == '':
print("Incorrect syntax: Use '-h' for help.")
with open('fastq2fasta_error-log.txt', 'w') as error:
error.write("Syntax Error\n")
sys.exit(2)
with open(inputfile, 'r') as inpt:
with open(outputfile, 'w') as otpt:
SeqIO.convert(inputfile, "fastq", outputfile, "fasta")
otpt.write(outputfile)
print('Your FASTQ has been converted. See %s') % (outputfile)
def align(arguments):
"""
Align sequences to a reference package alignment.
"""
refpkg = arguments.refpkg
prof = arguments.profile_version or refpkg.guess_align_method()
alignment_func = ALIGNERS[prof]
alignment_options = (arguments.alignment_options or ALIGNMENT_DEFAULTS.get(prof))
dn = os.path.dirname(arguments.outfile)
with _temp_file(prefix='.refpkg_align', dir=dn) as tf:
tf.close()
r = alignment_func(refpkg, arguments.seqfile, tf.name,
use_mask=arguments.use_mask, use_mpi=arguments.use_mpi,
mpi_args=arguments.mpi_arguments, mpi_program=arguments.mpi_run,
alignment_options=alignment_options, stdout=arguments.stdout)
if (not arguments.output_format or
arguments.output_format == DEFAULT_FORMAT[prof]):
# No format converseion needed
os.rename(tf.name, arguments.outfile)
else:
# Convert
SeqIO.convert(tf.name, DEFAULT_FORMAT[prof], arguments.outfile,
arguments.output_format)
return r
def stockfastaconvert(options):
'''
Conversion of multiple alignment - Stockholm to Multifasta
'''
while True:
try:
fam = q.get(block=True, timeout=0.1)
except Empty:
if n.qsize() > 0:
for _ in range(n.qsize()):
print n.get(),
print ""
break
else:
n.put(fam)
if n.qsize() >= 10:
for _ in range(10):
print n.get(),
print ""
if os.path.exists(options.dbdir+"align/stockholm/"+fam+".stockholm"):
if os.path.exists(options.dbdir+"align/"+fam+".fasta"):
os.remove(options.dbdir+"align/"+fam+".fasta", "fasta")
SeqIO.convert(options.dbdir+"align/stockholm/"+fam+".stockholm",
"stockholm", options.dbdir+"align/"+fam+".fasta", "fasta")
handle = open(options.dbdir+"align/"+fam.upper()+".fasta", "r")
temp = set()
for nuc_rec in SeqIO.parse(handle, "fasta"):
temp.add(nuc_rec.id)
handle.close()
handle = open(options.dbdir+"align/gene_list/"+fam.upper()+".gene", "w")
for gene in temp:
handle.write(gene+"\n")
handle.close()
os.remove(options.dbdir+"align/stockholm/"+fam+".stockholm")
q.task_done()
def simple_check(self, base_name, in_variant):
for out_variant in ["sanger", "solexa", "illumina"]:
in_filename = "Quality/%s_original_%s.fastq" \
% (base_name, in_variant)
self.assertTrue(os.path.isfile(in_filename))
# Load the reference output...
with open("Quality/%s_as_%s.fastq" % (base_name, out_variant),
_universal_read_mode) as handle:
expected = handle.read()
with warnings.catch_warnings():
if out_variant != "sanger":
# Ignore data loss warnings from max qualities
warnings.simplefilter("ignore", BiopythonWarning)
warnings.simplefilter("ignore", UserWarning)
# Check matches using convert...
handle = StringIO()
SeqIO.convert(in_filename, "fastq-"+in_variant,
handle, "fastq-"+out_variant)
self.assertEqual(expected, handle.getvalue())
# Check matches using parse/write
handle = StringIO()
SeqIO.write(SeqIO.parse(in_filename, "fastq-"+in_variant),
handle, "fastq-"+out_variant)
self.assertEqual(expected, handle.getvalue())
def run(self, edit):
for region in self.view.sel():
seq_str = self.view.substr(region).strip()
if not seq_str:
sublime.error_message("No selected text")
return
# Check that the selection begins as expected
startmatch = re.match(r'^LOCUS', seq_str)
# It turns out that SeqIO can handle Genbank format that
# does not end in '//' so there is no need to check for this
if startmatch:
# Read from a string and write to a string
seqout = io.StringIO()
with io.StringIO(seq_str) as seqin:
SeqIO.convert(seqin, 'genbank', seqout, 'fasta')
seqin.close()
# Write the fasta string to a new window at position 0
self.view.window().new_file().insert(
edit, 0, seqout.getvalue())
else:
sublime.error_message(
"Selected text does not look like Genbank: no 'LOCUS'")
return
def main(gbdir, outdir):
os.makedirs(gbdir, exist_ok=True)
os.makedirs(outdir, exist_ok=True)
tempq = 'tempquery.fasta'
tempdb = 'tempdb.fasta'
for org in tqdm(Organism.objects.all()):
# get genbank and convert to fasta
fpath = os.path.join(gbdir, '{}.gb'.format(org.accession))
if not os.path.isfile(fpath):
print('\nFetching {} with accession {}'.format(
org.name,
org.accession
))
fetch(fpath)
SeqIO.convert(fpath, 'genbank', tempdb, 'fasta')
# get spacers of organism and convert to fasta
spacers = Spacer.objects.filter(loci__organism=org)
fastatext = ''.join(['>{}\n{}\n'.format(spacer.id, spacer.sequence)
for spacer in spacers])
with open(tempq, 'w') as f:
f.write(fastatext)
# run blast and save output
outpath = os.path.join(outdir, '{}.json'.format(org.accession))
commandargs = ['blastn', '-query', tempq,
'-subject', tempdb, '-out', outpath, '-outfmt', '15']
subprocess.run(commandargs, stdout=subprocess.DEVNULL)
os.remove(tempq)
os.remove(tempdb)
def roundtrip_check(filepath):
__doc__ = '''Is there any odd data in the genbank that will get lost? Bar for the know things addressed with Botch()'''
import os
input_handle = open("TMO.gbk", "rU")
SeqIO.convert(filepath, "genbank", "test.gbk", "genbank")
print("went from " + str(os.stat('TMO.gbk').st_size) + " to " + str(os.stat("test.gbk").st_size))
os.remove("test.gbk")
def runSeqGen(workingFile, srp_hap_file, srp_tree_file, debug):
seqgen_infile = workingFile + "_seqgen.phylip"
seqgen = runExtProg(seqgenDir + "./seq-gen", pdir=seqgenDir, length=3)
seqgen.set_param_at("-mHKY", 1)
seqgen.set_param_at("-t2", 2)
seqgen.set_param_at("-k1", 3)
# seqgen.set_param_at("-d0.1", 4)
# seqgen.set_param_at("-s0.00001", 4)
seqgen.set_stdin(seqgen_infile)
all_unique = False
repeat = 0
while not all_unique:
if repeat == 100:
runBSSC(workingFile, srp_tree_file, debug)
print "==========rerun BSSC========"
repeat = 0
repeat += 1
# print repeat
seqgen.run(0)
all_unique = check_unique_sequences(seqgen)
temp_handle = open(workingFile + "_seqgen_out.phylip", "w")
temp_handle.write(seqgen.output)
temp_handle.close()
SeqIO.convert(workingFile + "_seqgen_out.phylip", "phylip", workingFile + ".fasta", "fasta")
shutil.copy(workingFile + ".fasta", srp_hap_file)
def convertQ2A( qd, qname):
qpath = qd + "/" + qname + ".fastq"
cpath = qd + "/" + qname + ".fasta"
SeqIO.convert(qpath, "fastq", cpath, "fasta")
print "converted file to fasta"
return cpath
def illumina2sangerFq(inputfile):
print help(SeqIO.convert)
filename = inputfile[:-3]+'.fastq'
SeqIO.convert(inputfile, "fastq-illumina", filename, "fastq")
def toNexus (listOfFiles):
for file in listOfFiles:
output_handle = file.replace(".fasta", ".nex")
output_handle = re.sub(".+/.+/", os.getcwd()+"/", output_handle)
SeqIO.convert(file, "fasta", output_handle, "nexus", generic_dna)
dir = os.getcwd()
return dir
def check_convert_fails(in_filename, in_format, out_format, alphabet=None):
qual_truncate = truncation_expected(out_format)
#We want the SAME error message from parse/write as convert!
err1 = None
try:
records = list(SeqIO.parse(in_filename,in_format, alphabet))
handle = StringIO()
if qual_truncate:
warnings.simplefilter('ignore', UserWarning)
SeqIO.write(records, handle, out_format)
if qual_truncate:
warnings.filters.pop()
handle.seek(0)
assert False, "Parse or write should have failed!"
except ValueError as err:
err1 = err
#Now do the conversion...
try:
handle2 = StringIO()
if qual_truncate:
warnings.simplefilter('ignore', UserWarning)
SeqIO.convert(in_filename, in_format, handle2, out_format, alphabet)
if qual_truncate:
warnings.filters.pop()
assert False, "Convert should have failed!"
except ValueError as err2:
assert str(err1) == str(err2), \
"Different failures, parse/write:\n%s\nconvert:\n%s" \
% (err1, err2)
def convert(basename, genbank):
'''Convert the provided genbank to a fasta to BLAST.'''
refFasta = "{}.fasta.tmp".format(basename)
SeqIO.convert(genbank, 'genbank', refFasta, 'fasta')
return refFasta
def copy_sequence(input_file, output_file):
'''Copy sequence files from staging area'''
GZIP_HEADER = '\x1f\x8b'
BZIP_HEADER = 'BZ'
pmsg('Copying sequence files', input_file, output_file)
# check if this is actually a gzipped file
header = open(input_file).read(2)
if header == GZIP_HEADER:
input_file_handle = gzip.open(input_file, 'rb')
elif header == BZIP_HEADER:
input_file_handle = BZ2File(input_file, 'r')
else:
input_file_handle = open(input_file, 'rb')
output_file_handle = gzip.open(output_file, 'wb')
# check whether this is a illumina or sanger fastq file
try:
SeqIO.convert(input_file_handle, 'fastq-illumina', output_file_handle, 'fastq-sanger')
except ValueError as e:
# check if this is a quality score problem
if e.args != ('Invalid character in quality string',):
raise e
input_file_handle.seek(0)
output_file_handle.seek(0)
output_file_handle.writelines(input_file_handle.readlines())
finally:
input_file_handle.close()
output_file_handle.close()
def main():
parser = OptionParser()
parser.add_option("-i", "--input", dest="input",
help="read INPUT fastq file", metavar="INPUT")
parser.add_option("-o", "--output", dest="output",
help="write OUTPUT fasta file", metavar="OUTPUT")
parser.add_option("-q", "--qual", dest="qual",
help="write OUTPUT qual file", metavar="QUAL")
(opt, args) = parser.parse_args()
if opt.input == None:
print "Missing input file"
return
if opt.output == None:
print "Missing output file"
return
print "Converting files..."
print "Creating csfasta file"
count = SeqIO.convert(opt.input, "fastq", opt.output, "fasta")
print "Converted %i records" % count
if opt.qual != None:
print "Creating Qual file"
count = SeqIO.convert(opt.input, "fastq", opt.qual, "qual")
print "Converted %i qual records" % count
def process_file(filepath, organism):
"""Process a single file given by the user on the command line."""
fasta_filepath = filepath
# Determine file type
spstring = re.split('/', filepath)
fname = spstring[-1].lower()
fnamesplit = re.split('\.', fname)
ftype = fnamesplit[-1]
if ftype == 'gb':
ftype = 'genbank'
check_features = (ftype == 'genbank')
# Open the file and get metadata
obj_file = SeqIO.read(filepath, ftype)
features = get_genbank_features(obj_file)
my_seq = str(obj_file.seq)
# Create FASTA file if necessary
if ftype != 'fasta':
fasta_filepath = "/tmp/" + fnamesplit[0] + ".fasta"
with open(fasta_filepath, 'w') as handle:
SeqIO.convert(filepath, "genbank", handle, "fasta")
# Process the file
output_dict = process_efm_cli(fasta_filepath, features, my_seq, organism, check_features, fname)
return output_dict
def prepare_data(ionfile, index_length):
'''
* Changes quality format from Phred to Solexa (which is required by the fastx-toolkit).
* Changes sequences id to incremental numbers.
* Creates temporal FASTA file with the indexes removed from the sequences.
Files generated will be written to folder ``data/modified/``
* ``ionfile`` argument is FASTQ format file as produced by IonTorrent
* ``index_length`` number of base pairs of your indexes. This is necessary \
to trim the indexes before blasting the FASTA file \
against the reference gene sequences.
Example:
>>> from pyphylogenomics import NGS
>>> ionfile = "ionrun.fastq";
>>> index_length = 8;
>>> NGS.prepare_data(ionfile, index_length);
Your file has been saved using Solexa quality format as data/modified/wrk_ionfile.fastq
Your sequence IDs have been changed to numbers.
The FASTA format file data/modified/wrk_ionfile.fasta has been created.
'''
# create folder to keep data
folder = os.path.join("data", "modified");
if not os.path.exists(folder):
os.makedirs(folder);
# change quality format from Phred to Solexa (required by fastx-toolkit)
# write file to work on
wrkfile = os.path.join(folder, "wrk_ionfile.fastq")
SeqIO.convert(ionfile, "fastq", wrkfile, "fastq-solexa");
print "Your file has been saved using Solexa quality format as " + wrkfile
# change sequences id to incremental numbers
command = "fastx_renamer -n COUNT -i " + wrkfile + " -o tmp.fastq"
p = subprocess.check_call(command, shell=True);
if p != 0:
print "\nError, couldn't execute " + command;
sys.exit();
print "Your sequence IDs have been changed to numbers."
# replace working file with temporal file
os.rename("tmp.fastq", wrkfile);
# create temporal FASTA file
command = "fastq_to_fasta -i " + wrkfile + " -o tmp.fasta";
p = subprocess.check_call(command, shell=True);
# trim index region
index_length = int(index_length) + 1;
command = "fastx_trimmer -f " + str(index_length) + " -i tmp.fasta "
command += "-o " + os.path.join(folder, "wrk_ionfile.fasta");
p = subprocess.check_call(command, shell=True);
if os.path.isfile("tmp.fasta"):
os.remove("tmp.fasta");
print "The FASTA format file " + os.path.join(folder, "wrk_ionfile.fasta") \
+ " has been created.";
def seqio(in_fhands, out_fhands, out_format, copy_if_same_format=True):
'It converts sequence files between formats'
in_formats = [guess_format(fhand) for fhand in in_fhands]
if (len(in_formats) == 1 and in_formats[0] == out_format and
hasattr(in_fhands[0], 'name')):
if copy_if_same_format:
copyfileobj(in_fhands[0], out_fhands[0])
else:
rel_symlink(in_fhands[0].name, out_fhands[0].name)
elif len(in_fhands) == 1 and len(out_fhands) == 1:
try:
SeqIO.convert(in_fhands[0], in_formats[0], out_fhands[0],
out_format)
except ValueError as error:
if error_quality_disagree(error):
raise MalformedFile(str(error))
raise
elif (len(in_fhands) == 1 and len(out_fhands) == 2 and
out_format == 'fasta'):
try:
for seq in read_seqrecords([in_fhands[0]]):
SeqIO.write([seq], out_fhands[0], out_format)
SeqIO.write([seq], out_fhands[1], 'qual')
except ValueError, error:
if error_quality_disagree(error):
raise MalformedFile(str(error))
raise
def sync_readdata( rawdir, ngsdata ):
'''
Ensures that ab1 files are symlinked from the RawData/Sanger/Run directory
and that they are then converted to fastq
@param rawdir - RawData/Sanger/Run path
@param ngsdata - Path to root NGSData directory
'''
raw_reads = glob( join( rawdir, '*.ab1' ) )
readd = join( ngsdata, 'ReadData', 'Sanger', basename(rawdir) )
if not isdir( readd ):
os.makedirs( readd )
for read in raw_reads:
lnk = relpath( read, readd )
rdpath = join( readd, basename(read) )
if not exists( rdpath ):
logger.info( 'Symlinking {0} to {1}'.format(rdpath, lnk) )
cd = os.getcwd()
os.symlink( lnk, rdpath )
else:
logger.info( 'Skipping existing abi file {0}'.format(rdpath) )
fqpath = rdpath.replace('.ab1', '.fastq' )
if not exists( fqpath ):
logger.info( 'Converting {0} to fastq {1}'.format(rdpath,fqpath) )
SeqIO.convert( rdpath, 'abi', fqpath, 'fastq' )
else:
logger.info( 'Skipping existing fastq file {0}'.format(fqpath) )
def aln2hmm(task):
"""Convert a Clustal alignment to an HMM profile.
Cleans: .stk
"""
stk = ext(task.depends[0], 'stk')
SeqIO.convert(str(task.depends[0]), 'clustal', stk, 'stockholm')
sh('hmmbuild %s %s' % (task.target, stk))
def cmalign(infile, outfile, cpu):
with util.ntf(suffix='.sto') as a_sto, open(outfile, 'w') as a_fasta:
scores = wrap.cmalign_files(infile, a_sto.name, cpu=cpu)
SeqIO.convert(a_sto, 'stockholm', a_fasta, 'fasta')
a_fasta.flush()
return scores
def convert(in_file, in_format, out_format, treeid, seq_data_type):
out_file = TMP_UTILS_PATH + treeid + "." + out_format
#SeqIO responds to clustal as identifier for the format but the official extension is .aln
if seq_data_type == "clustal":
seq_data_type = ".aln"
SeqIO.convert(in_file, in_format, out_file, out_format, alphabet=SEQUENCE_ALPHABET[seq_data_type])
os.remove(in_file)
return out_file
def formatFasta(inFile, outFile):
"""
Sometimes, there are format errror in fasta files. That should correct them
:param inFile: A fasta files that might contains format error
:param outFile: A fasta file with no format error
:return: Nothing
"""
SeqIO.convert(inFile, "fasta", outFile, "fasta")
def parallel(self, names, fileType='fasta', nprocs=1, **kwargs):
"""Running simulator using apply_async
Args:
names -- NameFile class with iter_names() method
fileType -- sequence file format
nprocs -- max number of parallel simulation calls
kwargs -- passed to simulator
Attribs added to each name instance in names:
simReadsFile -- file name of simulated reads
simReadsFileType -- file type (eg., 'fasta' or 'fastq')
simReadsFileCount -- number of simulated reads
Return:
boolean on run success/fail
"""
# making list of fasta file to provide simulator call
fastaFiles = [name.get_fastaFile() for name in names.iter_names()]
# settig kwargs
new_simulator = partial(self, **kwargs)
# calling simulator
res = parmap.map(new_simulator, fastaFiles, processes=nprocs)
# checking that simulated reads were created for all references; return 1 if no file
for row in res:
if row['simReadsFile'] is None or not os.path.isfile(row['simReadsFile']):
return 1
elif os.stat(row['simReadsFile'])[0] == 0: # file size = 0
return 1
# converting reads to fasta if needed
if fileType.lower() == 'fasta':
for result in res:
simFile = result['simReadsFile']
fileType = result['simReadsFileType'].lower()
if fileType != 'fasta':
fastaFile = os.path.splitext(simFile)[0] + '.fna'
SeqIO.convert(simFile, fileType, fastaFile, 'fasta')
result['simReadsFile'] = fastaFile
result['simReadsFileType'] = 'fasta'
# setting attribs in name instances
for i,name in enumerate(names.iter_names()):
# read file
simReadsFile = res[i]['simReadsFile']
name.set_simReadsFile(simReadsFile)
# file type
fileType = res[i]['simReadsFileType'].lower()
name.set_simReadsFileType(fileType)
# number of simulated reads
num_reads = len([True for i in SeqIO.parse(simReadsFile, fileType)])
name.set_simReadsCount(num_reads)
return 0
def setUp(self):
self.fastaInputDir = tempfile.mkdtemp()
self.fastqInputDir = tempfile.mkdtemp()
self.fastaOutputDir = join(dirname(self.fastaInputDir), 'fastaout')
self.fastqOutputDir = join(dirname(self.fastqInputDir), 'fastqout')
fq = here(inputFastq)
fa = "R1.fasta"
shutil.copy(fq, self.fastqInputDir)
SeqIO.convert(fq, 'fastq', join(self.fastaInputDir, fa), 'fasta')
def main(fichier):
"""
convert fastq into fasta
"""
from Bio import SeqIO
handle = open(fichier, "r")
g = open('output.txt','w')
SeqIO.convert(handle, 'fastq', g, 'fasta' )
handle.close()
g.close()
def fas2clus(inFile):
"""
Convert the input file from fasta format to clustalw format.
Modules required:
- SeqIO (from Bio)
Usage: <file>
"""
SeqIO.convert(inFile, 'fasta', inFile + 'cl', 'clustal')
clustalFile = open(inFile + 'cl')
return clustalFile
def main():
parser = argparse.ArgumentParser(description="This program parses a .gbk file to a .fasta file")
parser.add_argument('-gbk', nargs='?', type=str, help=".gbk file", required=True)
parser.add_argument('-o', nargs='?', type=str, help="results file name", required=True)
args = parser.parse_args()
SeqIO.convert(args.gbk, "genbank", args.o, "fasta")
def convert2fastq(input, output):
for file in os.listdir(input):
if file.endswith(".ab1"):
abi = open(input + os.sep + file, 'rb')
tmp = output + os.sep + "tmp"
if not os.path.exists(tmp):
os.makedirs(tmp)
out = tmp + os.sep + str(file).split('.')[0] + '.fastq'
SeqIO.convert(abi , 'abi', out, 'fastq')
return(tmp)
def check_convert(in_filename, in_format, out_format, alphabet=None):
records = list(SeqIO.parse(open(in_filename), in_format, alphabet))
#Write it out...
handle = StringIO()
qual_truncate = truncation_expected(out_format)
if qual_truncate:
warnings.simplefilter('ignore', UserWarning)
SeqIO.write(records, handle, out_format)
if qual_truncate:
warnings.filters.pop()
handle.seek(0)
#Now load it back and check it agrees,
records2 = list(SeqIO.parse(handle, out_format, alphabet))
compare_records(records, records2, qual_truncate)
#Finally, use the convert fuction, and check that agrees:
handle2 = StringIO()
if qual_truncate:
warnings.simplefilter('ignore', UserWarning)
SeqIO.convert(in_filename, in_format, handle2, out_format, alphabet)
if qual_truncate:
warnings.filters.pop()
#We could re-parse this, but it is simpler and stricter:
assert handle.getvalue() == handle2.getvalue()
def prep_for_beast():
# print file to NEXUS file
ny_aligned = list(SeqIO.parse('final_ny_aligned.txt', "fasta"))
for record in ny_aligned:
desc = record.description.split(" ")
record.id = desc[1]
record.description = desc[1]
SeqIO.write(ny_aligned, 'final_ny_aligned_name_fixed.txt', "fasta")
count = SeqIO.convert("final_ny_aligned_name_fixed.txt",
"fasta",
"final_ny_aligned.nex",
"nexus",
alphabet=IUPAC.ambiguous_dna)
print("Converted %i records" % count)
def distmat_cmalign(
sequence_file,
prefix,
cpu=wrap.CMALIGN_THREADS,
min_bitscore=10):
with util.ntf(prefix=prefix, suffix='.aln') as a_sto, \
util.ntf(prefix=prefix, suffix='.fasta') as a_fasta:
scores = wrap.cmalign_files(sequence_file, a_sto.name, cpu=cpu)
low_scores = scores['bit_sc'] < min_bitscore
if low_scores.any():
msg = 'The following sequences aligned with bit score < {}: {}'
log.warning(msg.format(min_bitscore, scores[low_scores].index))
# FastTree requires FASTA
SeqIO.convert(a_sto, 'stockholm', a_fasta, 'fasta')
a_fasta.flush()
taxa, distmat = outliers.fasttree_dists(a_fasta.name)
return taxa, distmat
def to_fasta(self, rmFile=False):
"""Converting from fastq to fasta.
Args:
rmFile -- remove old version of file?
Attrib edit:
readFile name set to new file (*.fasta)
readFileFormat set to fasta format
"""
# unpack
readFile = self.get_readFile()
readFileFormat = self.get_readFileFormat()
# new file name
basename, ext = os.path.splitext(readFile)
## rename file to prevent overwrite
if ext == '.fasta':
os.rename(readFile, basename + '.tmp')
readFile = basename + '.tmp'
newFile = basename + '.fasta'
# convert
try:
SeqIO.convert(readFile, readFileFormat, newFile, 'fasta')
except ValueError:
return False
# remove
if rmFile:
os.remove(readFile)
# setting attributes
self.set_readFile(newFile)
self.set_readFileFormat('fasta')
return True
def main():
ap = GooeyParser(
description=
"splits a fasta file with user specified length and fragment overlap")
ap.add_argument("-in",
"--input",
required=True,
widget='FileChooser',
help="input fasta file")
ap.add_argument("-step",
"--step",
required=True,
help="step size to split fasta, type = int")
ap.add_argument("-win",
"--window",
required=True,
help="window size of splitted subsets, type = int")
ap.add_argument("-out",
"--output",
required=True,
widget='FileSaver',
help="output fasta file")
args = vars(ap.parse_args())
# main
sequences = []
headers = [] # setup empty lists
for record in SeqIO.parse(args['input'], "fasta"):
for i in range(0,
len(record.seq) - int(args['window']) + 1,
int(args['step'])):
sequences.append(record.seq[i:i + int(args['window'])])
headers.append(i)
# create data frame
df = pd.DataFrame()
df['id'] = headers
df['seq'] = sequences
# export
with open("out.tab", 'a') as f:
f.write(
df.to_csv(header=False,
index=False,
sep='\t',
doublequote=False,
line_terminator='\n'))
# convert to fasta
convert = SeqIO.convert("out.tab", "tab", args['output'], "fasta")
os.system("del out.tab")
def simple_check(self, base_name, in_variant):
for out_variant in ["sanger", "solexa", "illumina"]:
if out_variant != "sanger":
#Ignore data loss warnings from max qualities
warnings.simplefilter('ignore', BiopythonWarning)
in_filename = "Quality/%s_original_%s.fastq" \
% (base_name, in_variant)
self.assertTrue(os.path.isfile(in_filename))
#Load the reference output...
with open("Quality/%s_as_%s.fastq" % (base_name, out_variant),
"rU") as handle:
expected = handle.read()
#Check matches using convert...
handle = StringIO()
SeqIO.convert(in_filename, "fastq-" + in_variant, handle,
"fastq-" + out_variant)
self.assertEqual(expected, handle.getvalue())
#Check matches using parse/write
handle = StringIO()
SeqIO.write(SeqIO.parse(in_filename, "fastq-" + in_variant),
handle, "fastq-" + out_variant)
self.assertEqual(expected, handle.getvalue())
if out_variant != "sanger":
warnings.filters.pop()
def read_sanger(infilepath,outfilepath):
count_infile = 0
print infilepath
for filename in os.listdir(infilepath):
#print "infilepath :" +infilepath
#print filename
if filename.endswith('.ab1'):
abi_filename=os.path.join(infilepath,filename)
fastq_filename= os.path.join(outfilepath,filename.replace('.ab1','.fastq'))
#print abi_filename
##print fastq_filename
SeqIO.convert(abi_filename,'abi',fastq_filename,'fastq')
'''
if filename.endswith("QB5505.ab1"):
F_fastq_filename =os.path.join(outfilepath_F,filename.replace('.ab1','.fastq'))
SeqIO.convert(abi_filename,'abi',F_fastq_filename,'fastq')
else:
R_fastq_filename =os.path.join(outfilepath_R,filename.replace('.ab1','.fastq'))
SeqIO.convert(abi_filename,'abi',R_fastq_filename,'fastq')
'''
count_infile += 1
print "There are total %d sequences" %count_infile
return
def generate_dist(self):
mafft_cline = MafftCommandline(input=self.fasta_seq,
maxiterate=1000,
localpair=True,
phylipout=True)
stdout, stderr = mafft_cline()
#Save alignments into FASTA and PHYLIP format
phyFile = 'testing/alignment.phy'
outPhy = open(phyFile, 'w')
outPhy.write(stdout)
outPhy.close()
fastaFile = 'testing/align.fasta'
SeqIO.convert(phyFile, 'phylip', fastaFile, 'fasta')
#Create phylogenetic tree of the original sequences
raxml_cline = RaxmlCommandline(sequences=phyFile,
model='GTRGAMMA',
name='reversatest',
working_dir=self.cwPath)
raxml_cline()
#Calculate the phylo distances between each branch of the tree
tree = dendropy.Tree.get_from_path("testing/RAxML_result.reversatest",
"newick")
pdm = tree.phylogenetic_distance_matrix()
pdm.write_csv('distance.csv')
def check_conversion(self, filename, in_format, out_format, alphabet):
msg = "Convert %s from %s to %s" % (filename, in_format, out_format)
records = list(SeqIO.parse(filename, in_format, alphabet))
# Write it out...
handle = StringIO()
qual_truncate = truncation_expected(out_format)
with warnings.catch_warnings():
if qual_truncate:
warnings.simplefilter("ignore", BiopythonWarning)
SeqIO.write(records, handle, out_format)
handle.seek(0)
# Now load it back and check it agrees,
records2 = list(SeqIO.parse(handle, out_format, alphabet))
self.assertEqual(len(records), len(records2), msg=msg)
for record1, record2 in zip(records, records2):
self.compare_record(record1, record2, qual_truncate, msg=msg)
# Finally, use the convert function, and check that agrees:
handle2 = StringIO()
with warnings.catch_warnings():
if qual_truncate:
warnings.simplefilter("ignore", BiopythonWarning)
SeqIO.convert(filename, in_format, handle2, out_format, alphabet)
# We could re-parse this, but it is simpler and stricter:
self.assertEqual(handle.getvalue(), handle2.getvalue(), msg=msg)
def ficheirosProteinas(dicionario):
Entrez.email = "*****@*****.**"
i = 0
lista_ficheiros = []
for key in dicionario:
handleGB = Entrez.efetch(db="protein",
rettype="gb",
retmode="text",
id=key)
seq_record = SeqIO.read(handleGB, "genbank")
nome_ficheiro = 'sequenceProtGenbank' + str(i) + '.gb'
SeqIO.write(seq_record, nome_ficheiro,
"genbank") #Guarda em formato genbank
lista_ficheiros.append(nome_ficheiro)
handleGB.close()
SeqIO.convert('sequenceProtGenbank' + str(i) + '.gb', "genbank",
'sequenceProtF' + str(i) + '.fasta', "fasta")
i += 1
return lista_ficheiros
def groom(in_file, in_qual="fastq-sanger", out_dir=None, out_file=None):
"""
Grooms a FASTQ file into sanger format, if it is not already in that
format. Use fastq-illumina for Illumina 1.3-1.7 qualities and
fastq-solexa for the original solexa qualities. When in doubt, your
sequences are probably fastq-sanger.
"""
if in_qual == "fastq-sanger":
logger.info("%s is already in Sanger format." % (in_file))
return out_file
with file_transaction(out_file) as tmp_out_file:
count = SeqIO.convert(in_file, in_qual, tmp_out_file, "fastq-sanger")
logger.info("Converted %d reads in %s to %s." % (count, in_file, out_file))
return out_file
def check(self, sff_name, sff_format, out_name, format):
wanted = list(SeqIO.parse(out_name, format))
data = StringIO()
count = SeqIO.convert(sff_name, sff_format, data, format)
self.assertEqual(count, len(wanted))
data.seek(0)
converted = list(SeqIO.parse(data, format))
self.assertEqual(len(wanted), len(converted))
for old, new in zip(wanted, converted):
self.assertEqual(old.id, new.id)
self.assertEqual(old.name, new.name)
if format != "qual":
self.assertEqual(str(old.seq), str(new.seq))
elif format != "fasta":
self.assertEqual(old.letter_annotations["phred_quality"],
new.letter_annotations["phred_quality"])
def countKmerMatch(fas, kmer_list, outfile, is_fastq):
match = []
total_count = 0
num_found_markers = 0
handle = StringIO("")
num_elem = SeqIO.convert(fas, "fastq", handle, "fasta") # there must be an easyer way to get the number of sequences?
bar = progressbar.ProgressBar(redirect_stdout=True, max_value=num_elem)
with open(kmer_list,'r') as fin:
with open(outfile + '.fasta', "w") as output_fasta_handle:
lines = fin.read().splitlines()
if is_fastq:
with open(outfile + '.fastq', "w") as output_fastq_handle:
i = 0
for record in SeqIO.parse(fas, "fastq"):
read = record.seq
i = i + 1
num = 0
bar.update(i)
for plasmid_sequence in lines:
sequence = Seq(plasmid_sequence)
num = num + int(read.count(sequence))
if num > 0:
print("marker found at read number %d" %(i))
num_found_markers = num_found_markers + 1
match.append('1')
# write to fasta file
SeqIO.write(record, output_fastq_handle, "fastq")
SeqIO.write(record, output_fasta_handle, "fasta")
total_count = total_count + 1
else:
match.append('0')
else:
for record in SeqIO.parse(fas, "fasta"):
read = record.seq
num = 0
for plasmid_sequence in lines:
sequence = Seq(plasmid_sequence)
num = num + int(read.count(sequence))
if num > 0:
match.append('1')
# write to fasta file
SeqIO.write(record, output_fasta_handle, "fasta")
total_count = total_count + 1
else:
match.append('0')
return match, total_count
def main():
ap = GooeyParser(
description=
"converts a fasta file , into a tabular file with identifier and sequence"
)
ap.add_argument("-in",
"--input",
required=True,
widget='FileChooser',
help="input fasta file")
ap.add_argument("-out",
"--output",
required=True,
widget='FileSaver',
help="output tab seperated file")
args = vars(ap.parse_args())
# main
count = SeqIO.convert(args['input'], "fasta", args['output'], "tab")
def gb_to_fasta(dirpath):
for filename in os.listdir(dirpath):
if filename.endswith("gb") or filename.endswith("gbk"):
outname = 'concat-' + filename + '.fas'
count = SeqIO.convert(filename, "genbank", outname, "fasta")
print "Genbank file found - " + filename
print "Generating " + outname + " ...Done!"
f = open(outname)
lines = f.readlines()
f.close()
f = open(outname, "w")
for line in lines:
if line.startswith(">"):
line = ">" + filename + "\n"
f.write(line)
else:
f.write(line)
f.close()
def main():
ap = GooeyParser(
description=
"converts a pdb file with only the atom coordinates section, into a fasta file"
)
ap.add_argument("-in",
"--input",
required=True,
widget='FileChooser',
help="input pdb file without SEQRES header")
ap.add_argument("-out",
"--output",
required=True,
widget='FileSaver',
help="output fasta file")
args = vars(ap.parse_args())
# main
count = SeqIO.convert(args['input'], "pdb-atom", args['output'], "fasta")
def convertMod(args):
if args.outFormat.lower() == 'gff':
acceptable = ['genbank', 'embl']
if args.inFormat.lower() in acceptable:
to_GFF(args)
return None
else:
sys.err.write("ERROR: ValueError, Could not convert file\n")
return None
else:
try:
count = SeqIO.convert(args.input, args.inFormat, args.output, args.outFormat )
if count == 0:
sys.err.write('ERROR: No records converted. Possibly wrong input filetype\n')
else:
if args.verbose: sys.err.write("Converted %i records\n" %count)
except ValueError:
sys.err.write("ERROR: ValueError, Could not convert file\n")
return None
def main():
print "Begin!"
prj_folder = os.getcwd()
print "Quality contorl..."
infiles = glob.glob("%s/1.0-origin/*.fastq"%(prj_folder))
if len(infiles) != 2:
print "The %s be loaded in error, are they two?"%infiles
for the_file in infiles:
trim_fastq_by_quality(the_file,prj_folder)
print "Merging..."
infiles = glob.glob("%s/1.1-trimed-fastq-file/*.fastq"%(prj_folder))
os.chdir("%s/1.2-merged-fastq-file/"%(prj_folder))
merge = subprocess.call("pear -f %s -r %s -o %s"%(infiles[0],infiles[1],project),shell=True)
print "Convert fastq to fasta..."
merged_file = "%s/1.2-merged-fastq-file/%s.assembled.fastq"%(prj_folder, project)
fname, suffix = os.path.splitext(merged_file)
count = SeqIO.convert(merged_file, "fastq","%s.fasta"%fname, "fasta")
print count
print "There are %i records have been Converted!" %(count)
print "Unique fasta file..."
unique_fasta(prj_folder, project)
print "Split large file to small..."
os.chdir("%s/1.3-splited-fasta-file/"%(prj_folder))
record_iter = SeqIO.parse(open("%s_unique.fasta"%fname), "fasta")
for i, batch in enumerate(batch_iterator(record_iter, 10000)) :
filename = "%s-%i.fasta" % (project, i+1)
handle = open(filename, "w")
count = SeqIO.write(batch, handle, "fasta")
handle.close()
print "Wrote %i records to %s" % (count, filename)
print "Begin IgBLAST..."
os.chdir("%s/1.4-IgBLAST-output/"%(prj_folder))
IgBLAST_result = open("%s-igblast-output.txt "%(project),"w")
mv_database = subprocess.call("cp -r /zzh_gpfs/home/zzhgroup/yanmingchen/IgBLAST_database/ ./",shell = True)
#IgBLAST_run = subprocess.call("igblastn -germline_db_V ./IgBLAST_database/20150429-human-gl-v -germline_db_J ./IgBLAST_database/20150429-human-gl-j -germline_db_D ./IgBLAST_database/20150429-human-gl-d -organism human -domain_system imgt -query %s -auxiliary_data optional_file/human_gl.aux -outfmt '7 qseqid sseqid pident length mismatch gapopen gaps qstart qend sstart send evalue bitscore qlen slen qseq sseq score frames qframe sframe positive ppos btop staxids stitle sstrand qcovs qcovhsp' -num_alignments_V 10 -num_alignments_D 10 -num_alignments_J 10 -out IgBLAST_result"%merged_file,shell=True)
IGBLAST_infiles = glob.glob("%s/1.3-splited-fasta-file/*.fasta"%(prj_folder))
for index, the_file in enumerate(IGBLAST_infiles):
print index,the_file
IgBLAST_run = subprocess.call("igblastn -germline_db_V ./IgBLAST_database/20150429-human-gl-v -germline_db_J ./IgBLAST_database/20150429-human-gl-j -germline_db_D ./IgBLAST_database/20150429-human-gl-d -organism human -domain_system imgt -query %s -auxiliary_data optional_file/human_gl.aux -outfmt '7 qseqid sseqid pident length mismatch gapopen gaps qstart qend sstart send evalue bitscore qlen slen qseq sseq score frames qframe sframe positive ppos btop staxids stitle sstrand qcovs qcovhsp' -num_alignments_V 10 -num_alignments_D 10 -num_alignments_J 10 -out IgBLAST_result_%i &"%(the_file,index+1),shell=True)
def main():
if sys.version_info[0] < 3:
sys.exit(
'Must be using Python 3. Try calling "python3 genbank_2_embl.py"')
parser = argparse.ArgumentParser(
prog='genbank_2_embl.py',
description='Converts a genbank file into a embl file',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--version',
help='Version information',
action='version',
version=str('%(prog)s v' + version))
parser_required = parser.add_argument_group('Required options')
parser_required.add_argument('-g',
'--genbank',
nargs=1,
type=argparse.FileType('r'),
required=True,
metavar='/path/to/genbank/file.gb',
help='Path to the genbank file')
parser_required.add_argument('-e',
'--embl',
nargs=1,
type=str,
metavar='/path/to/output/embl/file.embl',
help='Path to the output embl file',
required=True)
args = parser.parse_args()
args.genbank = os.path.abspath(args.genbank[0].name)
args.embl = os.path.abspath(args.embl[0])
if not os.path.isdir(os.path.dirname(args.embl)):
os.makedirs(os.path.dirname(args.embl))
count = SeqIO.convert(args.genbank, 'genbank', args.embl, 'embl')
print('Converted {} records'.format(count))
def readwrite_fasta(infilename, outfilename):
try:
if compression_type in ["gzip", "gz"]:
infile = gzip.open(infilename, 'r')
elif compression_type in ["bzip2", "bz2"]:
infile = bz2.BZ2File(infilename, 'r')
elif compression_type == "zip":
myzipfile = zipfile.ZipFile(infilename, 'r')
if len(myzipfile.namelist()) > 1:
raise IOError, "TOO MANY FILES IN ZIPFILE"
else:
infile = myzipfile.open(myzipfile.namelist()[0])
else:
infile = open(infilename, 'r')
outfile = open(outfilename, "w")
outcounter = SeqIO.convert(infile, "fastq-sanger", outfile, "fasta")
outfile.close()
infile.close()
return outcounter
except Exception, ex:
print ex.__class__.__name__ + " : " + str(ex)
return None
def convert_format(in_file,
out_file,
in_format=None,
out_format=None,
data_type='dna',
ambiguities=True):
if in_format == None:
in_format = FILE_FORMATS.get_format_from_file_object(in_file)
if out_format == None:
out_format = FILE_FORMATS.get_format_from_file_object(out_file)
_LOG.debug("converting {in_format}-formatted file {in_file!r} to "
"{out_format}-formatted file {out_file!r}.".format(
in_file=in_file,
in_format=in_format,
out_file=out_file,
out_format=out_format))
nseqs = SeqIO.convert(in_file=in_file,
in_format=in_format,
out_file=out_file,
out_format=out_format,
alphabet=get_state_alphabet(data_type, ambiguities))
return nseqs
def test_qual_negative(self):
"""Check QUAL negative scores mapped to PHRED zero."""
data = """>1117_10_107_F3
23 31 -1 -1 -1 29 -1 -1 20 32 -1 18 25 7 -1 6 -1 -1 -1 30 -1 20 13 7 -1 -1 21 30 -1 24 -1 22 -1 -1 22 14 -1 12 26 21 -1 5 -1 -1 -1 20 -1 -1 12 28
>1117_10_146_F3
20 33 -1 -1 -1 29 -1 -1 28 28 -1 7 16 5 -1 30 -1 -1 -1 14 -1 4 13 4 -1 -1 11 13 -1 5 -1 7 -1 -1 10 16 -1 4 12 15 -1 8 -1 -1 -1 16 -1 -1 10 4
>1117_10_1017_F3
33 33 -1 -1 -1 27 -1 -1 17 16 -1 28 24 11 -1 6 -1 -1 -1 29 -1 8 29 24 -1 -1 8 8 -1 20 -1 13 -1 -1 8 13 -1 28 10 24 -1 10 -1 -1 -1 4 -1 -1 7 6
>1117_11_136_F3
16 22 -1 -1 -1 33 -1 -1 30 27 -1 27 28 32 -1 29 -1 -1 -1 27 -1 18 9 6 -1 -1 23 16 -1 26 -1 5 7 -1 22 7 -1 18 14 8 -1 8 -1 -1 -1 11 -1 -1 4 24""" # noqa : W291
h = StringIO(data)
h2 = StringIO()
with warnings.catch_warnings():
warnings.simplefilter("ignore", BiopythonParserWarning)
self.assertEqual(4, SeqIO.convert(h, "qual", h2, "fastq"))
self.assertEqual(
h2.getvalue(),
"""\
@1117_10_107_F3
??????????????????????????????????????????????????
+
8@!!!>!!5A!3:(!'!!!?!5.(!!6?!9!7!!7/!-;6!&!!!5!!-=
@1117_10_146_F3
??????????????????????????????????????????????????
+
5B!!!>!!==!(1&!?!!!/!%.%!!,.!&!(!!+1!%-0!)!!!1!!+%
@1117_10_1017_F3
??????????????????????????????????????????????????
+
BB!!!<!!21!=9,!'!!!>!)>9!!))!5!.!!).!=+9!+!!!%!!('
@1117_11_136_F3
??????????????????????????????????????????????????
+
17!!!B!!?<!<=A!>!!!<!3*'!!81!;!&(!7(!3/)!)!!!,!!%9
""",
)
print >>out_handle, gtf_gene
gtf_tx = '%s\t%s\t%s\t%s\t%s\t.\t%s\t.\t%s;' % ( acc, source, 'transcript', f.location.start.position+1, f.location.end.position, strand, comments )
print >>out_handle, gtf_tx
comments += '; exon_number "1"'
gtf_exon = '%s\t%s\t%s\t%s\t%s\t.\t%s\t.\t%s;' % ( acc, source, 'exon', f.location.start.position+1, f.location.end.position, strand, comments )
print >>out_handle, gtf_exon
sys.stderr.write( "%s\tSkipped %s entries having types: %s.\n" % ( gb.id,skipped, ', '.join(skippedTypes) ) )
if __name__=='__main__':
description = ("Convert GeneBank files to FASTA and GTF bcbio ready files.")
parser = ArgumentParser(description=description)
parser.add_argument("--gbk", required=True, help="GBK files")
parser.add_argument("--prefix", required=True, help="prefix")
args = parser.parse_args()
t0=datetime.now()
count = SeqIO.convert(args.gbk, "genbank", args.prefix + "_tmp.fa", "fasta")
with open(args.prefix + ".fa", "w") as out_handle:
with open(args.prefix + "_tmp.fa") as in_handle:
header = next(in_handle)
print >>out_handle, header.split()[0]
for line in in_handle:
print >>out_handle, line.strip()
gb2gtf(args.gbk, args.prefix + ".gtf")
dt=datetime.now() - t0
sys.stderr.write( "#Time elapsed: %s\n" % dt )
#!/usr/bin/env python from Bio import SeqIO import sys SeqIO.convert(sys.argv[1], "fastq", sys.argv[2], "fasta")
def converter(fq):
output_fa = os.path.splitext(fq)[0] + '.fa'
SeqIO.convert(fq, 'fastq', output_fa, 'fasta')
len(genbankdf[genbankdf.locus_tag == 'none']))
genbankdf = genbankdf[genbankdf.locus_tag != "none"]
genbankdf.reset_index(level=0, inplace=True)
# we split with pipes "|" later on; this rmoves any from locus_tags , bd_xref's, and old_locus_tags
try:
genbankdf.db_xref = genbankdf.db_xref.str.replace("|", "_")
genbankdf.locus_tag = genbankdf.locus_tag.str.replace("|", "_")
genbankdf.old_locus_tag = genbankdf.old_locus_tag.str.replace("|", "_")
except KeyError:
pass
#print(genbankdf.loc[genbankdf['locus_tag'] == 'QV15_00005']) ### just a test
#%%#%%# make a fasta for genomic sequence(s), clean up header in resulting file
output_genfasta_handle = open(os.path.join(subdirname, gb + "_genomic.fasta"),
"w")
SeqIO.convert(input_handle.name, "genbank", output_genfasta_handle, "fasta")
output_genfasta_handle.close()
#%%
if rename_fa:
print("After running this script, run the following output as a command" +
", starting with 'awk' and ending with _renamed.fasta:")
import string
input_handle = open(input_genome, "r") # input database
names = []
for record in SeqIO.parse(input_handle, "genbank"):
print(record.id)
names.append(record.id)
if len(names) > 1:
starts_at = names[0][-1]
# removes number, period, and version number
while_condition = False
else:
qwindow_average = int(qwindow_average)
if qwindow_average > 40 or qwindow_average < 0:
print 'You entered a wrong value.'
print 'Try again!'
else:
while_condition = False
#sff sequence extraction
if file_extension == 'sff': # extract the sequences from the sff file
fastq_file = sample_name + '.fastq'
stars()
print 'The sff file is now being converted into a fastq file.'
print 'This could take a while...'
sff_seq_count = SeqIO.convert(raw_file_name, "sff-trim", fastq_file, "fastq")
print '%i sequences have been converted to fastq format.' % sff_seq_count
print '%s file has been created' % fastq_file
stars()
if file_extension == 'fastq':
fastq_file = raw_file_name
#*** DNA sequence quality trimming ***
stars()
print 'Now we trim the sequences using the desired quality settings.'
print 'Depending on the settings, this could take a while... (10-20 minutes)'
print 'Please be patient!'
stars()
trim_fasta_file_name = sample_name + '.trim.fasta'
good_reads = []
from Bio import SeqIO
with open('rosalind_tfsq.txt') as input_data, open('output.txt', 'w') as output_data:
SeqIO.convert(input_data, 'fastq', output_data, 'fasta' )
def _method_biopython(self, *args, **kwargs):
from Bio import SeqIO
SeqIO.convert(self.infile, "genbank", self.outfile, "fasta")
help='''Generate qual file.''')
parser.add_argument(
'--out',
'-o',
type=str,
default=False,
help=
'''Output prefix. Default: same as fastq. Use "stdout" or "-" to print to screen.'''
)
args = parser.parse_args()
assert args.fa or args.qual
if not args.out:
args.out = args.fastq.split("/")[-1].split(".")[0]
if args.fastq in ('', '-', 'stdin'):
args.fastq = sys.stdin
if args.out and args.out in ("stdout", "-"):
out = sys.stdout
else:
out = args.out + ".fasta" if args.fa else args.out + ".qual"
if args.fa:
SeqIO.convert(args.fastq, "fastq", out, "fasta")
if args.qual:
SeqIO.convert(args.fastq, "fastq", out, "qual")
