def populate_from_vcf(self):
"""
"""
import gemini_annotate # avoid circular dependencies
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.skipped = 0
extra_file, extraheader_file = gemini_annotate.get_extra_files(self.args.db)
extra_headers = {}
with open(extra_file, "w") as extra_handle:
# process and load each variant in the VCF file
for var in self.vcf_reader:
if self.args.passonly and (var.FILTER is not None and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts, extra_fields) = self._prepare_variation(var)
if extra_fields:
extra_handle.write("%s\n" % json.dumps(extra_fields))
extra_headers = self._update_extra_headers(extra_headers, extra_fields)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
self.counter += 1
if extra_headers:
with open(extraheader_file, "w") as out_handle:
out_handle.write(json.dumps(extra_headers))
else:
os.remove(extra_file)
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
def populate_from_vcf(self):
"""
"""
import gemini_annotate # avoid circular dependencies
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.skipped = 0
extra_file, extraheader_file = gemini_annotate.get_extra_files(self.args.db)
extra_headers = {}
with open(extra_file, "w") as extra_handle:
# process and load each variant in the VCF file
for var in self.vcf_reader:
if self.args.passonly and (var.FILTER is not None and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts, extra_fields) = self._prepare_variation(var)
if extra_fields:
extra_handle.write("%s\n" % json.dumps(extra_fields))
extra_headers = self._update_extra_headers(extra_headers, extra_fields)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
self.counter += 1
if extra_headers:
with open(extraheader_file, "w") as out_handle:
out_handle.write(json.dumps(extra_headers))
else:
os.remove(extra_file)
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
self.skipped = 0
# need to keep the objects in memory since we just borrow it in python.
obj_buffer = []
# process and load each variant in the VCF file
for var in self.vcf_reader:
if not var.ALT or len(var.ALT) == 0:
continue
if len(var.ALT) > 1 and not self.seen_multi:
self._multiple_alts_message()
if self.args.passonly and (var.FILTER is not None
and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts,
extra_fields) = self._prepare_variation(var)
variant.extend(
extra_fields.get(e) for e in self._extra_effect_fields)
obj_buffer.append(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
# buffer full - time to insert into DB
if len(self.var_buffer) >= self.buffer_size:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
obj_buffer = []
self.var_buffer = []
self.var_impacts_buffer = []
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " + str(self.counter) +
" variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
self.skipped = 0
# need to keep the objects in memory since we just borrow it in python.
obj_buffer = []
# process and load each variant in the VCF file
for var in self.vcf_reader:
if not var.ALT or len(var.ALT) == 0:
continue
if len(var.ALT) > 1 and not self.seen_multi:
self._multiple_alts_message()
if self.args.passonly and (var.FILTER is not None and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts, extra_fields) = self._prepare_variation(var)
variant.extend(extra_fields.get(e) for e in self._extra_effect_fields)
obj_buffer.append(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
# buffer full - time to insert into DB
if len(self.var_buffer) >= self.buffer_size:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
obj_buffer = []
self.var_buffer = []
self.var_impacts_buffer = []
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.skipped = 0
# process and load each variant in the VCF file
for var in self.vcf_reader:
if self.args.passonly and (var.FILTER is not None
and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts) = self._prepare_variation(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " + str(self.counter) +
" variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.skipped = 0
# process and load each variant in the VCF file
for var in self.vcf_reader:
if self.args.passonly and (var.FILTER is not None and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts) = self._prepare_variation(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = 1
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
num_samples = len(self.samples)
# process and load each variant in the VCF file
for var in self.vcf_reader:
(variant, variant_impacts) = self._prepare_variation(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
# only infer genotypes if requested
if not self.args.noload_genotypes and not self.args.no_genotypes:
pass
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write(str(self.v_id) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, \
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
# final load to the database
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write(str(self.v_id) + " variants processed.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = 1
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
num_samples = len(self.samples)
# process and load each variant in the VCF file
for var in self.vcf_reader:
(variant, variant_impacts) = self._prepare_variation(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
# only infer genotypes if requested
if not self.args.noload_genotypes and not self.args.no_genotypes:
pass
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write(str(self.v_id) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, \
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
# final load to the database
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write(str(self.v_id) + " variants processed.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
# process and load each variant in the VCF file
for var in self.vcf_reader:
(variant, variant_impacts) = self._prepare_variation(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write(str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write(str(self.counter) + " variants processed.\n")
def populate_from_vcf(self):
"""
"""
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
# process and load each variant in the VCF file
for var in self.vcf_reader:
(variant, variant_impacts) = self._prepare_variation(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
buffer_count += 1
# buffer full - time to insert into DB
if buffer_count >= self.buffer_size:
sys.stderr.write(str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
buffer_count = 0
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write(str(self.counter) + " variants processed.\n")
def populate_from_vcf(self):
"""
"""
import gemini_annotate as ga
extra_vcf_fields = set()
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
self.skipped = 0
# we save the vcf in this chunk for extra annotations.
self.extra_vcf_writer = ga.get_extra_vcf(self.args.db, self.vcf_reader, tempdir=self.args.tempdir)
# process and load each variant in the VCF file
for var in self.vcf_reader:
if len(var.ALT) > 1 and not self.seen_multi:
self._multiple_alts_message()
if self.args.passonly and (var.FILTER is not None and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts, extra_fields) = self._prepare_variation(var)
if extra_fields:
var.INFO.update(extra_fields)
self.extra_vcf_writer.write_record(var)
extra_vcf_fields.update(extra_fields.keys())
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
for var_impact in variant_impacts:
self.var_impacts_buffer.append(var_impact)
# buffer full - time to insert into DB
if len(self.var_buffer) >= self.buffer_size:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
self.var_buffer = []
self.var_impacts_buffer = []
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
database.insert_variation(self.c, self.var_buffer)
database.insert_variation_impacts(self.c, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
self.extra_vcf_writer.stream.close()
if len(extra_vcf_fields) == 0:
os.unlink(self.extra_vcf_writer.stream.name)
else:
with open(self.extra_vcf_writer.stream.name + ".fields", "w") as o:
o.write("\n".join(list(extra_vcf_fields)))
def populate_from_vcf(self):
"""
"""
self.v_id = self._get_vid()
self.counter = 0
self.var_buffer = []
self.var_impacts_buffer = []
self.skipped = 0
# need to keep the objects in memory since we just borrow it in python.
obj_buffer = []
reader = self.vcf_reader
anno_keys = {}
if self.args.anno_type in ("snpEff", "all"):
if "ANN" in reader:
desc = reader["ANN"]["Description"]
parts = [x.strip("\"'") for x in re.split("\s*\|\s*", desc.split(":", 1)[1].strip('" '))]
anno_keys["ANN"] = parts
elif "EFF" in reader:
parts = [x.strip(" [])'(\"") for x in re.split("\||\(", reader["EFF"]["Description"].split(":", 1)[1].strip())]
anno_keys["EFF"] = parts
else:
print "snpEff header not found"
if self.args.anno_type in ("VEP", "all"):
if "CSQ" in reader:
parts = [x.strip(" [])'(\"") for x in re.split("\||\(",
reader["CSQ"]["Description"].split(":", 1)[1].strip())]
anno_keys["CSQ"] = parts
# process and load each variant in the VCF file
for var in self.vcf_reader:
if not var.ALT or len(var.ALT) == 0:
continue
if len(var.ALT) > 1 and not self.seen_multi:
self._multiple_alts_message()
if self.args.passonly and (var.FILTER is not None and var.FILTER != "."):
self.skipped += 1
continue
(variant, variant_impacts, extra_fields) = self._prepare_variation(var, anno_keys)
variant.update(extra_fields)
[v_.update(extra_fields) for v_ in variant_impacts]
obj_buffer.append(var)
# add the core variant info to the variant buffer
self.var_buffer.append(variant)
# add each of the impact for this variant (1 per gene/transcript)
self.var_impacts_buffer.extend(variant_impacts)
# buffer full - time to insert into DB
if len(self.var_buffer) >= self.buffer_size:
database.insert_variation(self.c, self.metadata, self.var_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
database.insert_variation_impacts(self.c, self.metadata,
self.var_impacts_buffer)
# binary.genotypes.append(var_buffer)
# reset for the next batch
obj_buffer = []
self.var_buffer = []
self.var_impacts_buffer = []
self.v_id += 1
self.counter += 1
# final load to the database
self.v_id -= 1
if self.var_buffer:
database.insert_variation(self.c, self.metadata, self.var_buffer)
database.insert_variation_impacts(self.c, self.metadata, self.var_impacts_buffer)
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.counter) + " variants processed.\n")
if self.args.passonly:
sys.stderr.write("pid " + str(os.getpid()) + ": " +
str(self.skipped) + " skipped due to having the "
"FILTER field set.\n")
