def study_datafiles(isatab_dir, data_dirs, study_config):
"""Retrieve data files and associated metadata for a study.
"""
ftypes = ["Derived Data File", "Raw Data File"]
private = study_config["private"]
rec = isatab.parse(isatab_dir)
assert len(rec.studies) == 1
study = rec.studies[0]
# Do not load private libraries into Galaxy
if (rec.metadata.get("Investigation Identifier", "") in private or
study.metadata["Study Identifier"] in private):
study.assays = []
for assay in study.assays:
study_info = _get_study_matadata(study, assay)
info = _get_assay_info(assay)
verbose = study.metadata["Study Identifier"] in ["SB-S-29"]
sample_info = _get_sample_metadata(study, info["Sample Name"],
verbose)
study_info.update(sample_info)
for ftype in ftypes:
for fname in info.get(ftype, []):
try:
out = {"name": _get_full_path(fname, ftype, data_dirs),
"type": ftype}
out.update(study_info)
yield out
except ValueError:
print "Missing file", fname, data_dirs
def parse_isatab_assays(isatab_dir):
"""
Read all files contained in isatab format to be processed by pergola
:param isatab_dir: :py:func:`str` containing the path to isatab data folder
:return: :py:func:`dict` of files to be processed by pergola
TODO: This function needs that the assays to be processed are tagged some way
"""
dict_files = dict()
# if not path.isdir(isatab_dir):
if not isdir(isatab_dir):
raise ValueError ("Argument input must be a folder containning data in isatab format")
rec = isatab.parse(isatab_dir)
# Sample name are the key shared by both study and assay
for i in rec.studies:
for j in i.assays:
for file in j.nodes.keys():
key = j.nodes[file].metadata['Sample Name'][0]
dict_files[key] = file
return dict_files
def parse_isatab_assays (isatab_dir):
"""
Read all files contained in isatab format to be processed by pergola
:param isatab_dir: :py:func:`str` containing the path to isatab data folder
:return: :py:func:`dict` of files to be processed by pergola
"""
dict_files = {}
if not path.isdir(isatab_dir):
raise ValueError ("Argument input must be a folder containning data in isatab format")
rec = isatab.parse(isatab_dir)
#Sample name are the key shared by both study and assay
for i in rec.studies:
# print "studies are", i
# print "..................",i.assays
# print i.assays.node['metadata']
for j in i.assays:
print "assays are:", j
# print "-----------", j.nodes
for file in j.nodes.keys():
print j.nodes[file].metadata['Sample Name']
dict_files[j.nodes[file].metadata['Sample Name']] = file
pass
# print "file to process is ------------------",file
return dict_files
def parse_isatab_assays(isatab_dir):
"""
Read all files contained in isatab format to be processed by pergola
:param isatab_dir: :py:func:`str` containing the path to isatab data folder
:return: :py:func:`dict` of files to be processed by pergola
TODO: This function needs that the assays to be processed are tagged some way
"""
dict_files = dict()
# if not path.isdir(isatab_dir):
if not isdir(isatab_dir):
raise ValueError(
"Argument input must be a folder containning data in isatab format"
)
rec = isatab.parse(isatab_dir)
# Sample name are the key shared by both study and assay
for i in rec.studies:
for j in i.assays:
for file in j.nodes.keys():
key = j.nodes[file].metadata['Sample Name'][0]
dict_files[key] = file
return dict_files
def test_nextgen_parsing(self):
"""Parse ISA-Tab file representing next gen sequencing data
"""
work_dir = os.path.join(self._dir, "BII-S-3")
rec = isatab.parse(work_dir)
assay = rec.studies[0].assays[0]
assert assay.metadata['Study Assay Technology Platform'] == '454 Genome Sequencer FLX'
assert assay.nodes.has_key("ftp://ftp.ncbi.nih.gov/pub/TraceDB/ShortRead/"
"SRA000266/EWOEPZA01.sff")
def main(): # get directory from the command arguments and parse the files study_directory = str(sys.argv[1]) # data/ER-metab-v1_latest/ spreadsheet_file = str(sys.argv[2]) # ER-metab-v1_latest.xlsx # parse the isatab directory with isatools parser and get the record record = Record(isatab.parse(study_directory)) investigation = record.investigation write_isatab_to_xlsx(investigation, spreadsheet_file)
def test_mage(self):
"""Parse MAGE ISATab from ArrayExpress.
"""
work_dir = os.path.join(self._dir, "mage")
rec = isatab.parse(work_dir)
assert len(rec.studies) == 1
study = rec.studies[0]
node = study.nodes["ERS025105"]
assert node.metadata["FASTQ_URI"][0].FASTQ_URI == \
"ftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR030/ERR030907/ERR030907.fastq.gz"
def test_mage(self):
"""Parse MAGE ISATab from ArrayExpress.
"""
work_dir = os.path.join(self._dir, "mage")
rec = isatab.parse(work_dir)
assert len(rec.studies) == 1
study = rec.studies[0]
node = study.nodes["ERS025105"]
assert node.metadata["FASTQ_URI"][0].FASTQ_URI == \
"ftp://ftp.sra.ebi.ac.uk/vol1/fastq/ERR030/ERR030907/ERR030907.fastq.gz"
def test_nextgen_parsing(self):
"""Parse ISA-Tab file representing next gen sequencing data
"""
work_dir = os.path.join(self._dir, "BII-S-3")
rec = isatab.parse(work_dir)
assay = rec.studies[0].assays[0]
assert assay.metadata[
'Study Assay Technology Platform'] == '454 Genome Sequencer FLX'
assert assay.nodes.has_key(
"ftp://ftp.ncbi.nih.gov/pub/TraceDB/ShortRead/"
"SRA000266/EWOEPZA01.sff")
def isatab_parser(id_MTBLS=None):
if not id_MTBLS :
#os.system('clear')
#print '======= ISATAB parser ======='
#
MTBLSentries = get_MTBLS_ID()
for name in MTBLSentries:
#print name
#if os.path.isdir('OUTPUT/_dataMTBLS/' + name) and name.startswith("MTBLS") :
rec = isatab.parse(pathMTBLS + name)
fp = open(pathISAPARSER + name + '_parsed', 'w')
print >> fp, rec
fp.close()
else:#CASE: function called with one input parameter. USER should provide a good and existing MTBLS entry!!!!
if not os.path.exists(pathMTBLS + id_MTBLS) :
get_MTBLS_metadata(id_MTBLS)
rec = isatab.parse(pathMTBLS + id_MTBLS)
fp = open(pathISAPARSER + id_MTBLS + '_parsed', 'w')
print >> fp, rec
fp.close()
def test_get_genelists(self):
"""Identify derived genelists available in ISA-Tab experiment
"""
work_dir = os.path.join(self._dir, "genelist")
rec = isatab.parse(work_dir)
study = rec.studies[0]
assay = study.assays[0]
assay_node = assay.nodes["KLS1nature.CEL"]
study_node = study.nodes[assay_node.metadata["Sample Name"][0]]
assert "16862118-Figure2bSRAS.txt" in assay_node.metadata["Derived Data File"]
expects = ["Mus musculus (Mouse)", "C57BL/6", "bone marrow"]
attrs = ["Organism", "strain", "Organism Part"]
for attr, expect in zip(attrs, expects):
assert study_node.metadata[attr] == [expect]
def parse_isatab(filename):
"""Parses either an isa-tab zip or folder"""
from bcbio import isatab
# check if filename is a folder or a zip
if not os.path.exists(filename):
raise Exception('File or folder %s does not exist', filename)
if not os.path.isdir(filename):
work_dir = tempfile.mkdtemp()
# unzip to temporary folder
with zipfile.ZipFile(filename, "r") as z:
z.extractall(work_dir)
else:
work_dir = filename
# parse
rec = isatab.parse(work_dir)
# parse trait def file and raw data file
for s in rec.studies:
s.trait_def_map = {}
s.derived_data_map = {}
for assay in s.assays:
if (assay.metadata[
'Study Assay Measurement Type Term Accession Number']
not in ('23', '0000023')):
continue
for sample_id, assay_data in assay.nodes.items():
derived_data_file = assay_data.metadata['Derived Data File'][0]
trait_def_file = assay_data.metadata[
'Parameter Value[Trait Definition File]'][
0].Trait_Definition_File
# check if we already loaded the trait def file
if trait_def_file not in s.trait_def_map:
s.trait_def_map[trait_def_file] = _parse_trait_def_file(
trait_def_file, work_dir)
# check if we already loaded the derived data matrix
if derived_data_file not in s.derived_data_map:
s.derived_data_map[
derived_data_file] = _parse_derived_data_file(
derived_data_file, work_dir)
# remove temporary folder
if filename != work_dir:
shutil.rmtree(work_dir)
return rec
def test_get_genelists(self):
"""Identify derived genelists available in ISA-Tab experiment
"""
work_dir = os.path.join(self._dir, "genelist")
rec = isatab.parse(work_dir)
study = rec.studies[0]
assay = study.assays[0]
assay_node = assay.nodes["KLS1nature.CEL"]
study_node = study.nodes[assay_node.metadata["Sample Name"][0]]
assert "16862118-Figure2bSRAS.txt" in assay_node.metadata[
"Derived Data File"]
expects = ["Mus musculus (Mouse)", "C57BL/6", "bone marrow"]
attrs = ["Organism", "strain", "Organism Part"]
for attr, expect in zip(attrs, expects):
assert study_node.metadata[attr][0][0] == expect
def test_minimal_parsing(self):
"""Parse a minimal ISA-Tab file without some field values filled in.
"""
work_dir = os.path.join(self._dir, "minimal")
rec = isatab.parse(work_dir)
assert len(rec.publications) == 0
assert len(rec.metadata) == 0
assert len(rec.studies) == 1
assert len(rec.studies[0].design_descriptors) == 0
sname = "C2C12 sample1 rep3"
study = rec.studies[0]
assay_node = study.assays[0].nodes["AFFY#35C.CEL"]
assert assay_node.metadata["Sample Name"] == [sname]
assert study.nodes[sname].metadata["strain"] == ["C3H"]
def test_minimal_parsing(self):
"""Parse a minimal ISA-Tab file without some field values filled in.
"""
work_dir = os.path.join(self._dir, "minimal")
rec = isatab.parse(work_dir)
assert len(rec.publications) == 0
assert len(rec.metadata) == 0
assert len(rec.studies) == 1
assert len(rec.studies[0].design_descriptors) == 0
sname = "C2C12 sample1 rep3"
study = rec.studies[0]
assay_node = study.assays[0].nodes["AFFY#35C.CEL"]
assert assay_node.metadata["Sample Name"] == [sname]
assert study.nodes[sname].metadata["strain"][0][0] == "C3H"
def test_basic_parsing(self):
"""Test general parsing of an example ISA directory.
"""
work_dir = os.path.join(self._dir, "BII-I-1")
rec = isatab.parse(work_dir)
assert rec.metadata["Investigation Identifier"] == "BII-I-1"
assert len(rec.ontology_refs) == 6
assert rec.ontology_refs[2]["Term Source Name"] == "UO"
assert len(rec.publications) == 1
assert rec.publications[0]["Investigation Publication DOI"] == "doi:10.1186/jbiol54"
assert len(rec.studies) == 2
study = rec.studies[0]
assert study.metadata["Study File Name"] == "s_BII-S-1.txt"
assert len(study.assays) == 3
assert study.assays[0].metadata["Study Assay File Name"] == "a_metabolome.txt"
study = rec.studies[1]
assert study.nodes['NZ_0hrs_Grow_1'].metadata["organism"] == \
["Saccharomyces cerevisiae (Baker's yeast)"]
assert study.assays[0].nodes['E-MAXD-4-raw-data-426648783.txt'
].metadata["ArrayExpress Accession"] == \
["E-MAXD-4"]
def test_basic_parsing(self):
"""Test general parsing of an example ISA directory.
"""
work_dir = os.path.join(self._dir, "BII-I-1")
rec = isatab.parse(work_dir)
assert rec.metadata["Investigation Identifier"] == "BII-I-1"
assert len(rec.ontology_refs) == 6
assert rec.ontology_refs[2]["Term Source Name"] == "UO"
assert len(rec.publications) == 1
assert rec.publications[0][
"Investigation Publication DOI"] == "doi:10.1186/jbiol54"
assert len(rec.studies) == 2
study = rec.studies[0]
assert study.metadata["Study File Name"] == "s_BII-S-1.txt"
assert len(study.assays) == 3
assert study.assays[0].metadata[
"Study Assay File Name"] == "a_metabolome.txt"
study = rec.studies[1]
assert study.nodes['NZ_0hrs_Grow_1'].metadata["organism"][0].organism == \
"Saccharomyces cerevisiae (Baker's yeast)"
assert study.assays[0].nodes['E-MAXD-4-raw-data-426648783.txt'
].metadata["ArrayExpress Accession"][0][0] == \
"E-MAXD-4"
def parse_files(self): isatab_record = isatab.parse(study_directory) print isatab_record return isatab_record
def test_repeated_header(self):
"""Handle ISA-Tab inputs with repeated header names.
"""
work_dir = os.path.join(self._dir, "BII-S-6")
rec = isatab.parse(work_dir)
# easy_install biopy-isatab
from bcbio import isatab
rec = isatab.parse("/Users/jespinosa/software/isaTabTools/ISAcreator-1.7.7/isatab files/test2_int2GB")
rec = isatab.parse("/home/kadomu/Dropbox/isaTabTools/ISAcreator-1.7.7/isatab files/test2_int2GB")
rec = isatab.parse("/users/cn/jespinosa/git/pergola_cbcrg/data/isatab_ex")
study = rec.studies[0]
assay = rec.studies[0].assays[0]
# List of all files inside an assay
for node in assay.nodes: print node
node=study.nodes["CRG.Group-1.Subject-1"]
assay.metadata['Study Assay Technology Platform']
rec = isatab.parse("/Users/jespinosa/software/isaTabTools/ISAcreator-1.7.7/isatab files/BII-I-1")
study= rec.studies[0]
print study.nodes.keys()
##Number of studies
len(rec.studies)
print rec
st = ""
for i in rec.studies:
print "studies are", i
def test_repeated_header(self):
"""Handle ISA-Tab inputs with repeated header names.
"""
work_dir = os.path.join(self._dir, "BII-S-6")
rec = isatab.parse(work_dir)
