def test_more_samples(method):
for sample_name in ["sample_v2", "sample_v3", "sample_v4"]:
if method == "GATB" and sample_name in ["sample_v3", "sample_v2"]:
# GATB long headers bug
continue
infile = bioconvert_data("{}.fastq".format(sample_name))
expected_outfile = bioconvert_data("{}.fasta".format(sample_name))
with TempFile(suffix=".fasta") as expected_unwrapped:
Fastq2Fasta.unwrap_fasta(
expected_outfile, expected_unwrapped.name, strip_comment=True)
md5out = md5(expected_unwrapped.name)
# One temporary file for the fasta created using the method
# and one for an unwrapped version.
# Some methods may output multi-line fasta, so we need to
# compare md5 sums of unwrapped versions.
with TempFile(suffix=".fasta") as outfile, \
TempFile(suffix=".fasta") as unwrapped:
convert = Fastq2Fasta(infile, outfile.name)
convert(method=method)
Fastq2Fasta.unwrap_fasta(
outfile.name, unwrapped.name, strip_comment=True)
assert md5(unwrapped.name) == md5out, \
"{} failed for {}".format(method, sample_name)
def test_conv(method):
infile = bioconvert_data("test_tabulated.xlsx")
expected_outile = bioconvert_data("test_tabulated.csv")
with TempFile(suffix=".csv") as tempfile:
convert = XLSX2CSV(infile, tempfile.name)
convert(method=method)
assert md5(tempfile.name) == md5(expected_outile)
def test_conv():
infile = bioconvert_data("test_vcf2bcf_v1.vcf")
outfile = bioconvert_data("test_vcf2bed_v1.bed")
with TempFile(suffix=".bed") as tempfile:
convert = VCF2BED(infile, tempfile.name)
convert(method="awk")
assert md5(tempfile.name) == md5(outfile)
def test_conv(method):
infile = bioconvert_data("test_fastq2fasta_v1.fasta")
qual_file = bioconvert_data("test_fasta2fastq.qual")
expected_outfile_no_qual = bioconvert_data("test_fasta2fastq.fastq")
md5out_no_qual = md5(expected_outfile_no_qual)
expected_outfile_qual = bioconvert_data("test_fastq2fasta_v1.fastq")
md5out_qual = md5(expected_outfile_qual)
# One temporary file for the fasta created using the method
# and one for an unwrapped version.
# Some methods may output multi-line fasta, so we need to
# compare md5 sums of unwrapped versions.
with TempFile(suffix=".fastq") as outfile:
convert = FASTA2FASTQ(infile, outfile.name)
convert(method=method)
assert md5(outfile.name) == md5out_no_qual, \
"{} failed".format(method)
with TempFile(suffix=".fastq") as outfile:
convert = FASTA2FASTQ(infile, outfile.name)
convert(method=method, quality_file=qual_file)
assert md5(outfile.name) == md5out_qual, \
"{} failed".format(method)
def test_methods(method):
infile = bioconvert_data("test_measles.sorted.bam")
with TempFile(suffix=".fa") as tempfile:
convert = BAM2FASTA(infile, tempfile.name)
convert(method=method)
# samtools 1.6 / hstlib 1.6 gives different results on travis and
# locally
assert md5(tempfile.name.replace(
".", "_1.")) in ["9242d127969a089ddeedbc2002c62686"]
assert md5(tempfile.name.replace(
".", "_2.")) in ["b753ad368c9614130884acb29861bd23"]
for ext in ['gz', 'bz2']: # Test compression
with TempFile(suffix=".fasta.{}".format(ext)) as tempfile:
convert = BAM2FASTA(infile, tempfile.name)
convert(method=method)
# no check, just running
infile = bioconvert_data("test_measles_unpaired.sorted.bam")
with TempFile(suffix=".fa") as tempfile:
convert = BAM2FASTA(infile, tempfile.name)
convert(method=method)
# samtools 1.6 / hstlib 1.6 gives different results on travis and
# locally
for ext in ['gz', 'bz2']: # Test compression
with TempFile(suffix=".fasta.{}".format(ext)) as tempfile:
convert = BAM2FASTA(infile, tempfile.name)
convert(method=method)
def _test_conv():
infile = bioconvert_data("biocode.gb")
outfile = bioconvert_data("biocode.gff")
with TempFile(suffix=".gff") as tempfile:
converter = GENBANK2GFF3(infile, tempfile.name)
converter(method="biocode")
assert md5(tempfile.name) == md5(outfile)
def test_phy2nx_biopython(method):
infile = bioconvert_data(method + ".phylip")
outfile = bioconvert_data(method + ".nexus")
with TempFile(suffix=".nexus") as tempfile:
converter = PHYLIP2NEXUS(infile, tempfile.name)
converter(method=method)
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_sra2fastq_single(method):
infile = "SRR6477205"
outfile = bioconvert_data("SRR6477205.fastq")
with TempFile(suffix=".fastq") as tempfile:
converter = SRA2FASTQ(infile, tempfile.name, True)
converter(method=method)
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_nexus2clustal_biopython():
infile = bioconvert_data("nexus2clustal_biopython.nexus")
outfile = bioconvert_data("nexus2clustal_biopython.clustal")
with TempFile(suffix=".nexus") as tempfile:
converter = NEXUS2CLUSTAL(infile, tempfile.name)
converter(method='biopython')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_clustal2stockholm_squizz():
infile = bioconvert_data("squizz.clustal")
outfile = bioconvert_data("squizz.stockholm")
with TempFile(suffix=".stockholm") as tempfile:
converter = CLUSTAL2STOCKHOLM(infile, tempfile.name)
converter(method='squizz')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_stockholm2clustal_biopython():
infile = bioconvert_data("biopython.stockholm")
outfile = bioconvert_data("biopython.clustal")
with TempFile(suffix=".clustal") as tempfile:
converter = STOCKHOLM2CLUSTAL(infile, tempfile.name)
converter(method='biopython')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_clustal2fasta_biopython():
infile = bioconvert_data("biopython.clustal")
outfile = bioconvert_data("biopython.fasta")
with TempFile(suffix=".fasta") as tempfile:
converter = CLUSTAL2FASTA(infile, tempfile.name)
converter(method='biopython')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_stockholm2phylip_squizz():
infile = bioconvert_data("squizz.stockholm")
outfile = bioconvert_data("squizz.phylip")
with TempFile(suffix=".phylip") as tempfile:
converter = STOCKHOLM2PHYLIP(infile, tempfile.name)
converter(method='squizz')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_nx2xml_biopython(method):
infile = bioconvert_data("test_wig2bed.wig")
outfile = bioconvert_data("test_wig2bed.bed")
with TempFile(suffix=".phyloxml") as tempfile:
converter = WIG2BED(infile, tempfile.name)
converter(method=method)
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_twobit2fasta_ucsc(method):
infile = bioconvert_data("ucsc.2bit")
outfile = bioconvert_data("ucsc.fasta")
with TempFile(suffix=".fasta") as tempfile:
converter = TWOBIT2FASTA(infile, tempfile.name)
converter(method=method)
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_clustal2nexus_goalign():
infile = bioconvert_data("goalign.clustal")
outfile = bioconvert_data("goalign.nexus")
with TempFile(suffix=".nexus") as tempfile:
converter = CLUSTAL2NEXUS(infile, tempfile.name)
converter(method='goalign')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_phylip2clustal_squizz():
infile = bioconvert_data("squizz.phylip")
outfile = bioconvert_data("squizz.clustal")
with TempFile(suffix=".clustal") as tempfile:
converter = PHYLIP2CLUSTAL(infile, tempfile.name)
converter(method='squizz')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_nx2fa_biopython(method):
infile = bioconvert_data(method + ".nexus")
outfile = bioconvert_data(method + ".fasta")
with TempFile(suffix=".fasta") as tempfile:
converter = NEXUS2FASTA(infile, tempfile.name)
converter(method=method)
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_bigwig2bedgraph_ucsc(method):
infile = bioconvert_data("ucsc.bigwig")
outfile = bioconvert_data("ucsc.bedgraph")
with TempFile(suffix=".bedgraph") as tempfile:
converter = BIGWIG2BEDGRAPH(infile, tempfile.name)
converter(method=method)
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_conv():
infile = bioconvert_data("test_v1.json")
expected_outile = bioconvert_data("test_v1_nocomments.yaml")
with TempFile(suffix=".yaml") as tempfile:
convert = JSON2YAML(infile, tempfile.name)
convert()
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(expected_outile)
def test_fa2phy_squizz():
infile = bioconvert_data("squizz.fasta")
outfile = bioconvert_data("squizz.phylip")
with TempFile(suffix=".phylip") as tempfile:
converter = FASTA2PHYLIP(infile, tempfile.name)
converter(method='squizz')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_nw2xml_biopython(method):
infile = bioconvert_data(method + ".newick")
outfile = bioconvert_data(method + ".xml")
with TempFile(suffix=".xml") as tempfile:
converter = NEWICK2PHYLOXML(infile, tempfile.name)
converter(method=method)
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_phylip2stockholm_biopython():
infile = bioconvert_data("biopython.phylip")
outfile = bioconvert_data("biopython.stockholm")
with TempFile(suffix=".fasta") as tempfile:
converter = PHYLIP2STOCKHOLM(infile, tempfile.name)
converter(method='biopython')
# Check that the output is correct with a checksum
assert md5(tempfile.name) == md5(outfile)
def test_conv(method):
infile = bioconvert_data("test_vcf2bcf_v1.vcf")
outfile = bioconvert_data("test_vcf2wiggle.wiggle")
md5out = md5(outfile)
with TempFile(suffix=".wiggle") as tempfile:
convert = VCF2WIGGLE(infile, tempfile.name)
convert(method=method)
assert md5(tempfile.name) == md5out, "{} failed".format(method)
def test_conv(method):
infile = bioconvert_data("test_tabulated.ods")
expected_outfiles = [
bioconvert_data("test_tabulated.csv"),
bioconvert_data("test_tabulated_with_3_more_blank_lines.csv"),
]
with TempFile(suffix=".csv") as tempfile:
convert = ODS2CSV(infile, tempfile.name)
convert(method=method)
assert md5(tempfile.name) in [md5(f) for f in expected_outfiles]
def _test_conv(method):
infile = bioconvert_data("test_measles.bigwig")
outfile = bioconvert_data("test_bigwig2wiggle.wiggle")
md5out = md5(outfile)
with TempFile(suffix=".wiggle") as tempfile:
convert = BIGWIG2WIGGLE(infile, tempfile.name)
convert(method=method)
assert md5(tempfile.name) == md5out, "{} failed".format(method)
def test_conv():
infile = bioconvert_data("test_sam2paf_v1.sam", where)
outfile = bioconvert_data("test_sam2paf_v1.paf", where)
checksum = md5(outfile)
with TempFile(suffix=".paf") as tempfile:
convert = SAM2PAF(infile, tempfile.name)
convert()
assert checksum == md5(tempfile.name)
assert convert.skipped == 17
def test_converter_without_converter():
infile = bioconvert_data("test_fastq2fasta_v1.fastq")
with TempFile(suffix=".fasta") as tempfile1, TempFile(suffix=".fasta") as tempfile2:
cmd = "bioconvert {} {} --force".format(infile, tempfile1.name)
p = subprocess.Popen(cmd, shell=True)
assert p.wait() == 0
import sys
sys.argv = ["bioconvert", infile, tempfile2.name, "--force"]
converter.main()
assert md5(tempfile1.name) == md5(tempfile2.name)
def test_conv(method):
# XLS file may contains bold, border, ... i then prefere to convert it back to csv to check if it is ok or not
infile = bioconvert_data("test_tabulated.csv")
expected_outile = bioconvert_data("test_tabulated.csv")
with TempFile(suffix=".csv") as temp_csv,TempFile(suffix=".xls") as temp_xls:
convert = CSV2XLS(infile, temp_xls.name)
convert()
convert = XLS2CSV(temp_xls.name, temp_csv.name)
convert(method=method)
assert md5(temp_csv.name) == md5(expected_outile)
def test_conv(method):
infile = bioconvert_data("ucsc.bigbed")
outfile = bioconvert_data("ucsc.wiggle")
md5out = md5(outfile)
with TempFile(suffix=".wiggle") as tempfile:
convert = BIGBED2WIGGLE(infile, tempfile.name)
convert(method=method)
assert md5(tempfile.name) == md5out, "{} failed".format(method)
def _download_minikraken(self, verbose=True):
dv = DevTools()
base = sequana_config_path + os.sep + ""
taxondir = base + os.sep + "taxonomy"
dv.mkdir(base)
dv.mkdir(taxondir)
logger.info("Downloading minikraken (4Gb)")
filename = base + os.sep + "minikraken.tgz"
if os.path.exists(filename) and md5(filename) == "30eab12118158d0b31718106785195e2":
logger.warning("%s already present" % filename)
else:
wget("https://ccb.jhu.edu/software/kraken/dl/minikraken.tgz", filename)
def _download_sequana_db1(self, verbose=True):
dbname = "sequana_db1"
from easydev import md5
dir1 = sequana_config_path + os.sep + dbname
dir2 = dir1 + os.sep + "taxonomy"
self.dv.mkdir(dir1)
self.dv.mkdir(dir2)
logger.info("Downloading about 8Gb of data (if not already downloaded) from"
" Synapse into %s" % dir1)
from os.path import exists
filename = dir1 + "ena_list.txt"
if exists(filename) and md5(filename) == "a9cc6268f3338d1632c4712a412593f2":
pass
else:
self._download_from_synapse('syn6171700', dir1)
# database.idx
filename = dir1 + "database.idx"
if exists(filename) and md5(filename) == "2fa4a99a4f52f2f04c5a965adb1534ac":
pass
else:
self._download_from_synapse('syn6171017', dir1)
# database.kdb ; this one is large (8Gb)
filename = dir1 + "database.kdb"
if exists(filename) and md5(filename) == "ff698696bfc88fe83bc201937cd9cbdf":
pass
else:
self._download_from_synapse('syn6171107', dir1)
# Then, the taxonomy directory
filename = dir1 + "names.dmp"
if exists(filename) and md5(filename) == "10bc7a63c579de02112d125a51fd65d0":
pass
else:
self._download_from_synapse('syn6171286', dir2)
filename = dir1 + "nodes.dmp"
if exists(filename) and md5(filename) == "a68af5a60434e2067c4a0a16df873980":
pass
else:
self._download_from_synapse('syn6171289', dir2)
filename = dir1 + "taxons.txt"
if exists(filename) and md5(filename) == "e78fbb43b3b41cbf4511d6af16c0287f":
pass
else:
self._download_from_synapse('syn6171290', dir2)
logger.info('done. You should have a kraken DB in %s' % dir1)
# The annotations
wget("https://github.com/sequana/data/raw/master/sequana_db1/annotations.csv",
dir1 + os.sep + "annotations.csv")
def _download_kraken_toydb(self, verbose=True):
"""Download the kraken DB toy example from sequana_data into
.config/sequana directory
Checks the md5 checksums. About 32Mb of data
"""
dv = DevTools()
base = sequana_config_path + os.sep + "kraken_toydb"
taxondir = base + os.sep + "taxonomy"
dv.mkdir(base)
dv.mkdir(taxondir)
baseurl = "https://github.com/sequana/data/raw/master/"
# download only if required
logger.info("Downloading the database into %s" % base)
md5sums = [
"28661f8baf0514105b0c6957bec0fc6e",
"97a39d44ed86cadea470352d6f69748d",
"d91a0fcbbc0f4bbac918755b6400dea6",
"c8bae69565af2170ece194925b5fdeb9"]
filenames = [
"database.idx",
"database.kdb",
"taxonomy/names.dmp",
"taxonomy/nodes.dmp"]
for filename, md5sum in zip(filenames, md5sums):
url = baseurl + "kraken_toydb/%s" % filename
filename = base + os.sep + filename
if os.path.exists(filename) and md5(filename) == md5sum:
logger.warning("%s already present" % filename)
else:
logger.info("Downloading %s" % url)
wget(url, filename)
