def test_walk(self):
# easy case: all same sites
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
reader3 = vcf.Reader(fh('example-4.0.vcf'))
n = 0
for x in utils.walk_together(reader1, reader2, reader3):
assert len(x) == 3
assert (x[0] == x[1]) and (x[1] == x[2])
n+= 1
assert n == 5
# artificial case 2 from the left, 2 from the right, 2 together, 1 from the right, 1 from the left
expected = 'llrrttrl'
reader1 = vcf.Reader(fh('walk_left.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
for ex, recs in zip(expected, utils.walk_together(reader1, reader2)):
if ex == 'l':
assert recs[0] is not None
assert recs[1] is None
if ex == 'r':
assert recs[1] is not None
assert recs[0] is None
if ex == 't':
assert recs[0] is not None
assert recs[1] is not None
def test_walk(self):
# easy case: all same sites
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
reader3 = vcf.Reader(fh('example-4.0.vcf'))
n = 0
for x in utils.walk_together(reader1, reader2, reader3):
assert len(x) == 3
assert (x[0] == x[1]) and (x[1] == x[2])
n+= 1
assert n == 5
# artificial case 2 from the left, 2 from the right, 2 together, 1 from the right, 1 from the left
expected = 'llrrttrl'
reader1 = vcf.Reader(fh('walk_left.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
for ex, recs in zip(expected, utils.walk_together(reader1, reader2)):
if ex == 'l':
assert recs[0] is not None
assert recs[1] is None
if ex == 'r':
assert recs[1] is not None
assert recs[0] is None
if ex == 't':
assert recs[0] is not None
assert recs[1] is not None
def test_walk(self):
# easy case: all same sites
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
reader3 = vcf.Reader(fh('example-4.0.vcf'))
n = 0
for x in utils.walk_together(reader1, reader2, reader3):
self.assertEqual(len(x), 3)
self.assertEqual(x[0], x[1])
self.assertEqual(x[1], x[2])
n += 1
self.assertEqual(n, 5)
# artificial case 2 from the left, 2 from the right, 2 together, 1 from the right, 1 from the left
expected = 'llrrttrl'
reader1 = vcf.Reader(fh('walk_left.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
for ex, recs in zip(expected, utils.walk_together(reader1, reader2)):
if ex == 'l':
assert recs[0] is not None
assert recs[1] is None
if ex == 'r':
assert recs[1] is not None
assert recs[0] is None
if ex == 't':
assert recs[0] is not None
assert recs[1] is not None
# test files with many chromosomes, set 'vcf_record_sort_key' to define chromosome order
chr_order = map(str, range(1, 30)) + ['X', 'Y', 'M']
get_key = lambda r: (chr_order.index(r.CHROM.replace('chr', '')), r.POS
)
reader1 = vcf.Reader(fh('issue-140-file1.vcf'))
reader2 = vcf.Reader(fh('issue-140-file2.vcf'))
reader3 = vcf.Reader(fh('issue-140-file3.vcf'))
expected = "66642577752767662466" # each char is an integer bit flag - like file permissions
for ex, recs in zip(
expected,
utils.walk_together(reader1,
reader2,
reader3,
vcf_record_sort_key=get_key)):
ex = int(ex)
for i, flag in enumerate([0x4, 0x2, 0x1]):
if ex & flag:
self.assertNotEqual(recs[i], None)
else:
self.assertEqual(recs[i], None)
def create_vcf_iter(*vcf_paths):
"""Create independent VCF reader iterators.
Returns a list of readers and a VCF iterator.
"""
vcf_readers = [vcf.Reader(open(path)) for path in vcf_paths]
vcf_iter = utils.walk_together(*vcf_readers, vcf_record_sort_key=lambda r: (r.CHROM, r.POS, r.REF, r.ALT))
return vcf_readers, vcf_iter
def get_variants_shared_by_trio(self):
'''
Return the number of identified variants shared by father, mother and son
Also returns a file containing the variants.
:return:
'''
## Oeffnen mit vcf.Reader
self.file_mother = vcf.Reader(open(self.filename_mother, 'r'))
self.file_father = vcf.Reader(open(self.filename_father, 'r'))
self.file_son = vcf.Reader(open(self.filename_son, 'r'))
anzahl = 0
geteilt = utils.walk_together(self.file_mother, self.file_father,
self.file_son)
mother_father_son = open("mother_father_son.vcf", "w")
for record in geteilt:
## record[0] entspricht der Mutter, record[1] entspricht dem Vater und record[2] entspricht dem Sohn
## wenn diese records nicht leer sind, dann wird die Anzahl um 1 erhoeht.
if not record[0] is None and not record[1] is None and not record[
2] is None:
anzahl += 1
for eintrag in record:
writer = vcf.Writer(mother_father_son, self.file_son, "\n")
writer.write_record(eintrag)
return anzahl
def get_variants_shared_by_father_and_son(self):
'''
Return the number of identified variants shared by mother and son
Also returns a file containing the variants.
:return:
'''
## Oeffnen mit vcf.Reader
self.file_father = vcf.Reader(open(self.filename_father, 'r'))
self.file_son = vcf.Reader(open(self.filename_son, 'r'))
anzahl = 0
## geteilt verwendet utils.walk_together um ueber mehrere Dateien zu iterieren
geteilt = utils.walk_together(self.file_father, self.file_son)
father_son = open("father_son.vcf", "w")
for record in geteilt:
## record[0] entspricht dem Vater, record[1] entspricht dem Sohn
## wenn diese records nicht leer sind, dann wird die Anzahl um 1 erhoeht.
if not record[0] is None and not record[1] is None:
anzahl += 1
## Durch einen Hinweis von Frank Ruge habe erst verstanden, dass hier nicht nur die Anzahl der Variants,
## sondern auch die Variants an sich gefragt sind. Deshalb wurden sie auf diese Weise angefuegt.
for eintrag in record:
writer = vcf.Writer(father_son, self.file_son, "\n")
writer.write_record(eintrag)
return anzahl
def diff(input_handles, output_handle, precision=10):
"""
Calculate the Jaccard distance between two VCF files.
:arg input_handles: List of two open readable handles to VCF files.
:type input_handles: list(stream)
:arg output_handle: An open writable handle.
:type output_handle: stream
:arg precision: Number of decimals in the output.
:type precision: int
"""
first_vcf = vcf.Reader(input_handles[0])
second_vcf = vcf.Reader(input_handles[1])
symmetric_difference = 0
total = 0
walker = vcfutils.walk_together(first_vcf, second_vcf)
for first_record, second_record in walker:
if first_record and second_record and not (first_record.is_indel
or second_record.is_indel):
if (first_record.alleles[1].sequence !=
second_record.alleles[1].sequence):
symmetric_difference += 1
total += 1
#if
#for
output_handle.write('{value:.{precision}f}\n'.format(
value=symmetric_difference / total, precision=precision))
def test_walk(self):
# easy case: all same sites
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
reader3 = vcf.Reader(fh('example-4.0.vcf'))
n = 0
for x in utils.walk_together(reader1, reader2, reader3):
self.assertEqual(len(x), 3)
self.assertEqual(x[0], x[1])
self.assertEqual(x[1], x[2])
n+= 1
self.assertEqual(n, 5)
# artificial case 2 from the left, 2 from the right, 2 together, 1 from the right, 1 from the left
expected = 'llrrttrl'
reader1 = vcf.Reader(fh('walk_left.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
for ex, recs in zip(expected, utils.walk_together(reader1, reader2)):
if ex == 'l':
assert recs[0] is not None
assert recs[1] is None
if ex == 'r':
assert recs[1] is not None
assert recs[0] is None
if ex == 't':
assert recs[0] is not None
assert recs[1] is not None
# test files with many chromosomes, set 'vcf_record_sort_key' to define chromosome order
chr_order = map(str, range(1, 30)) + ['X', 'Y', 'M']
get_key = lambda r: (chr_order.index(r.CHROM.replace('chr','')), r.POS)
reader1 = vcf.Reader(fh('issue-140-file1.vcf'))
reader2 = vcf.Reader(fh('issue-140-file2.vcf'))
reader3 = vcf.Reader(fh('issue-140-file3.vcf'))
expected = "66642577752767662466" # each char is an integer bit flag - like file permissions
for ex, recs in zip(expected, utils.walk_together(reader1, reader2, reader3, vcf_record_sort_key = get_key)):
ex = int(ex)
for i, flag in enumerate([0x4, 0x2, 0x1]):
if ex & flag:
self.assertNotEqual(recs[i], None)
else:
self.assertEqual(recs[i], None)
def get_variants_shared_by_mother_and_son(self):
self.file_mother = vcf.Reader(open(self.filename_mother, 'r'))
self.file_son = vcf.Reader(open(self.filename_son, 'r'))
MandS = 0
# see father and son, it is identical
momson = utils.walk_together(self.file_mother, self.file_son)
for record in momson:
if not record[0] is None and not record[1] is None:
MandS += 1
return MandS
def get_variants_shared_by_mother_and_son(self):
print "\n+++++++++++++++++++\nReturn the number of identified variants shared by mother and son:"
count = 0
lines = utils.walk_together(vcf.Reader(open(file_mother, "r")),
vcf.Reader(open(file_son, "r")))
for entry in lines:
if not entry[0] is None and not entry[1] is None:
count += 1
print count
return count
def __init__(self, out_dir, dna_vcf, *rna_vcfs):
if not os.path.exists(out_dir):
os.makedirs(out_dir)
self.out_dir = out_dir
self.dna_reader = vcf.Reader(filename=dna_vcf)
self.dna_name = os.path.basename(dna_vcf)
rna_readers = []
rna_names = []
outs_per_sample = OrderedDict()
for rna_vcf in rna_vcfs:
basename = os.path.basename(rna_vcf)
rna_names.append(basename)
rna_readers.append(vcf.Reader(filename=rna_vcf))
# also create open file handles for each sample to write results to
out_file = os.path.join(out_dir, os.path.splitext(basename)[0])
out_file = out_file + '.results'
outf = open(out_file, 'w')
outf.write('\t'.join(PERSAMPLE_COLS) + '\n')
outs_per_sample[basename] = outf
self.rna_readers = rna_readers
self.rna_names = rna_names
self.outs_per_sample= outs_per_sample
outov = open(os.path.join(out_dir, 'overlap.results'), 'w')
outov.write('#RNA_SAMPLE_ORDER: ' + ', '.join(rna_names) + '\n')
outov.write('\t'.join(OVERLAP_COLS) + '\n')
self.outs_overlap = outov
samerec = lambda rec: (rec.CHROM, rec.POS, rec.REF)
for calls in utils.walk_together(self.dna_reader, *self.rna_readers,
vcf_record_sort_key=samerec):
# select for heterozygous calls present in DNA and any one of the RNAs
if calls[0] is not None and calls[0].samples[0].is_het and \
any(calls[1:]):
# gene annotation
gene = '?'
if 'ANN' in calls[0].INFO:
gene = ','.join(calls[0].INFO['ANN'])
if all(calls[1:]):
self.write_overlap(gene, calls[0], calls[1:])
print('Found in DNA and all RNA:', calls[0].CHROM,
calls[0].POS, gene, file=sys.stderr)
else:
print('Found in DNA and {0} RNA:'.format(len([x for x in
calls[1:] if x])), calls[0].CHROM, calls[0].POS,
gene, file=sys.stderr)
self.write_per_rna(gene, calls[0], calls[1:])
def create_vcf_walktogether(vcf_files):
"""Create a VCF walk-together generator.
Arguments:
vcf_files: A list of `vcf.Reader` objects
Returns:
A `vcf.utils.walk_together` generator
"""
def vcf_record_sort_key(r):
return r.CHROM, r.POS, r.REF, r.ALT
return pyvcf_utils.walk_together(*vcf_files, vcf_record_sort_key=vcf_record_sort_key)
def merge_mother_father_son_into_one_vcf(self):
print "\n+++++++++++++++++++\nCreates one VCF containing all variants of the trio (merge VCFs):"
merge = open("merge.vcf", "w")
writer = vcf.Writer(merge, vcf.Reader(open(file_mother, "r")), "\n")
for lines in utils.walk_together(vcf.Reader(open(file_mother, "r")),
vcf.Reader(open(file_father, "r")),
vcf.Reader(open(file_son, "r"))):
for entry in lines:
if entry is not None:
writer.write_record(entry)
print "merge files ok"
def get_variants_shared_by_mother_and_son(self):
MS_list = []
self.mother_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24143.vcf"))
self.son_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24385.vcf"))
shared = utils.walk_together(self.mother_vcf, self.son_vcf)
count=0
for i in shared:
if i[0] == i[1]:
count +=1 #MS_list.append(i)
else:
pass
#print(len(MS_list))
return count #MS_list
def get_variants_shared_by_trio(self):
self.father_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24149.vcf"))
self.mother_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24143.vcf"))
self.son_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24385.vcf"))
shared = utils.walk_together(self.father_vcf, self.son_vcf, self.mother_vcf)
count = 0 #FSM_list = []
for i in shared:
if i[0] == i[1] == i[2]: #makes sure that the variants are the same
count += 1 #FSM_list.append(i)
else:
pass
#print(len(FSM_list))
return count #FSM_list
def get_variants_shared_by_trio(self):
self.file_mother = vcf.Reader(open(self.filename_mother, 'r'))
self.file_father = vcf.Reader(open(self.filename_father, 'r'))
self.file_son = vcf.Reader(open(self.filename_son, 'r'))
trio = 0
trios = utils.walk_together(self.file_mother, self.file_father,
self.file_son)
#identical to father and son as well as mother and son, just with an added comparison
for record in trios:
if not record[0] is None and not record[1] is None and not record[
2] is None:
trio += 1
return trio
def get_variants_shared_by_father_and_son(self):
self.file_father = vcf.Reader(open(self.filename_father, 'r'))
self.file_son = vcf.Reader(open(self.filename_son, 'r'))
DandS = 0
#here we need to use two files, we do this by using utils.walk_together
dadson = utils.walk_together(
self.file_father, self.file_son
) #the two files are now a list called record, we can access the father under position 0 and the son under position 1
for record in dadson:
if not record[0] is None and not record[
1] is None: #if the father's (record[0]) and the son's (record[1]) are not empty, count 1
DandS += 1
return DandS
def merge_mother_father_son_into_one_vcf(self):
self.file_mother = vcf.Reader(open(self.filename_mother, 'r'))
self.file_father = vcf.Reader(open(self.filename_father, 'r'))
self.file_son = vcf.Reader(open(self.filename_son, 'r'))
trio_file = open("trio_file.vcf", 'w')
#to merge the file, we use vcf.Writer and supply a file to write in, a template (the mother) and a line terminator ("\n")
writer = vcf.Writer(trio_file, self.file_mother, "\n")
for record in utils.walk_together(self.file_mother, self.file_father,
self.file_son):
for entry in record:
if entry is not None: #if there is an entry, write it into the new file
writer.write_record(entry)
result = "The files have been merged into trio_file.vcf"
return result
def merge_hc_mity(fhc, fmity, fout, priority):
"""Merges the given HaplotypeCaller and UnifiedGenotyper VCFs into a new
VCF."""
hc = vcf.Reader(fhc)
mity = vcf.Reader(fmity)
# some sanity checks
# TODO: possible to make it handle different samples in the two VCFs?
if sorted(hc.samples) != sorted(mity.samples):
raise ValueError(
"Input VCF files must have the same sample column headers.")
if sorted(hc.contigs.keys()) != sorted(mity.contigs.keys()):
raise ValueError("Input VCF files must denote the same contigs.")
if sorted(hc.formats.keys()) != sorted(mity.formats.keys()):
raise ValueError("Input VCF files must contain the same formats.")
# NOTE: arbitrarily picking mity as the base template ~ we're doing
# dict updates, so the hc values will take precedence
# merge infos
mity.infos.update(hc.infos)
# merge formats ~ not necessary since they're equal
# TODO: merge filters?
# merge metadata
if 'GATKCommandLine' in mity.metadata:
mity.metadata['UnifiedGenotyperCommandLine'] = \
mity.metadata['GATKCommandLine']
if 'GATKCommandLine' in hc.metadata:
mity.metadata['HaplotypeCallerCommandLine'] = \
hc.metadata['GATKCommandLine']
del mity.metadata['GATKCommandLine']
del hc.metadata['GATKCommandLine']
mity.metadata.update(hc.metadata)
# add custom INFO field, denoting the variant caller for each variant
# iterate over both, picking the priority when variants are called by both
# files
mity.infos['GATKCaller'] = _Info(
'GATKCaller', '.', 'String', 'GATK '
'variant caller used to call the variant')
out_writer = vcf.Writer(fout, mity)
for hc_rec, mity_rec in walk_together(hc, mity):
if hc_rec.CHROM != "MT":
out_writer.write_record(hc_rec)
elif mity_rec.CHROM == "MT":
out_writer.write_record(mity_rec)
else:
assert False, "We should not be here!"
def merge_mother_father_son_into_one_vcf(self):
'''
Creates one VCF containing all variants of the trio (merge VCFs)
:return:
'''
print "\n---------------\nMerging files.."
vcf_readerson = vcf.Reader(open(self.vcf_son, 'r'))
vcf_readermother = vcf.Reader(open(self.vcf_mother, 'r'))
vcf_readerfather = vcf.Reader(open(self.vcf_father, 'r'))
merge_file = open("merge_file.vcf", "w")
writer = vcf.Writer(merge_file, vcf_readermother, "\n")
for records in utils.walk_together(vcf_readermother, vcf_readerfather, vcf_readerson):
for entry in records:
if entry is not None:
writer.write_record(entry)
print("Successfully merged files: Outputfile = merge_file.vcf")
def merge_mother_father_son_into_one_vcf(self):
self.father_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24149.vcf"))
self.mother_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24143.vcf"))
self.son_vcf = vcf.Reader(open("AmpliseqExome.20141120.NA24385.vcf"))
FS = open("FSM.vcf", "w")
FSVCF = vcf.Writer(FS, self.son_vcf, "\n")
shared = utils.walk_together(self.father_vcf, self.son_vcf, self.mother_vcf)
count = 0
for i in shared:
if i[0] or i[1] or i[2]: #
if i[0] is None:
if i[1] is None:
FSVCF.write_record(i[2]);count += 1
elif i[2] is None:
FSVCF.write_record(i[1]);count += 1
else: #if i[2] and i[1] are true
FSVCF.write_record(i[1]);count += 1
elif i[1] is None:
if i[0] is None:
FSVCF.write_record(i[2]);count += 1
elif i[2] is None:
FSVCF.write_record(i[0]);count += 1
else: #if i[2] and i[0] are true
FSVCF.write_record(i[2]);count += 1
elif i[2] is None:
if i[0] is None:
FSVCF.write_record(i[1]);count += 1
elif i[1] is None:
FSVCF.write_record(i[0]);count += 1
else: # if i[1] and i[0] are true
FSVCF.write_record(i[0]);count += 1
else:
FSVCF.write_record(i[0]);count += 1
FSVCF.close()
FS.close()
print("the three have " + str(count) + " variants\n they are saved in FSM.vcf") #53227
return
'''
def merge_mother_father_son_into_one_vcf(self):
'''
Creates one VCF containing all variants of the trio (merge VCFs)
:return:
'''
## class vcf.Writer(stream, template, lineterminator='n')[source]
## der Writer benoetigt ein template, aus dem die metadaten uebernommen werden
## ich habe mich fuer den Sohn entschieden
## ein Stream im Modus write wird geoeffnet
trio_file = open("trio_file.vcf", "w")
writer = vcf.Writer(trio_file, self.file_son, "\n")
## http://nullege.com/codes/search/vcf.utils.walk_together
## um mehrere vcf Files gleichzeitig zu bearbeiten kann man vcf.utils.walk_together benutzen
for records in utils.walk_together(self.file_father, self.file_father,
self.file_son):
## jeder Eintrag der nicht None ist wird in das VCF geschrieben
for eintrag in records:
if eintrag is not None:
writer.write_record(eintrag)
success = "The file has been merged successfully to trio_file.vcf"
return success
def main(args):
options = parse_args()
vcf_reader_A = vcf.Reader(open(options.inVCFA, 'r'))
vcf_reader_B = vcf.Reader(open(options.inVCFB, 'r'))
x_list = list()
y_list = list()
rare_x_list = list()
rare_y_list = list()
common_x_list = list()
common_y_list = list()
for records in vcfutils.walk_together(vcf_reader_A, vcf_reader_B):
if None in records:
print(records)
continue
num_hom_alts = len(records[0].get_hom_alts())
num_hom_refs = len(records[0].get_hom_refs())
num_hets = len(records[0].get_hets())
total_genotypes = float(num_hom_alts + num_hom_refs + num_hets)
minor_allele_count = (num_hom_alts * 2) + num_hets
minor_af_a = float(minor_allele_count) / float((total_genotypes * 2))
num_hom_alts = len(records[1].get_hom_alts())
num_hom_refs = len(records[1].get_hom_refs())
num_hets = len(records[1].get_hets())
total_genotypes = float(num_hom_alts + num_hom_refs + num_hets)
minor_allele_count = (num_hom_alts * 2) + num_hets
minor_af_b = float(minor_allele_count) / float((total_genotypes * 2))
if minor_af_a == 0.0 or minor_af_b == 0.0: continue
x_list.append(minor_af_a)
y_list.append(minor_af_b)
if minor_af_a == 0.01 or minor_af_b <= 0.01:
rare_x_list.append(minor_af_a)
rare_y_list.append(minor_af_b)
else:
common_x_list.append(minor_af_a)
common_y_list.append(minor_af_b)
#if minor_af_a != 0.0 or minor_af_b != 0.0:
# if minor_af_a == 0.0: minor_af_a = 1.0
# if minor_af_b == 0.0: minor_af_b = 1.0
# x_list.append(minor_af_a)
# y_list.append(minor_af_b)
adjust_figure = False
if min(x_list) < 0.001:
print("WARNING an x value is less than 0.001")
adjust_figure = True
if min(y_list) < 0.001:
print("WARNING an y value is less than 0.001")
adjust_figure = True
# Calculate ks stats
total_ks_stat, total_ks_pvalue = ks_2samp(x_list, y_list)
rare_ks_stat, rare_ks_pvalue = ks_2samp(rare_x_list, rare_y_list)
common_ks_stat, common_ks_pvalue = ks_2samp(common_x_list, common_y_list)
with open('AF_comparison.raw_AF.{}.ks_stats.tsv'.format(options.outReport),
'w') as ks_output:
ks_output.write('variant_type\tsample_size\tks_stat\tks_pvalue\n')
ks_output.write('total\t{}\t{}\t{}\n'.format(len(x_list),
total_ks_stat,
total_ks_pvalue))
ks_output.write('rare\t{}\t{}\t{}\n'.format(len(rare_x_list),
rare_ks_stat,
rare_ks_pvalue))
ks_output.write('common\t{}\t{}\t{}\n'.format(len(common_x_list),
common_ks_stat,
common_ks_pvalue))
if adjust_figure: pdb.set_trace()
# Plot total variant figure
fig = plt.figure()
ax = plt.gca()
ax.set_xscale('log')
ax.set_yscale('log')
ax.scatter(x_list, y_list, color='black', s=8)
ax.set_xlabel('Allele Frequency Sample Set Broad')
ax.set_ylabel('Allele Frequency Sample Set Not Broad')
ax.grid()
ax.plot([0.0, 1.0], [0.0, 1.0], color="red")
plt.xticks([0.001, 0.01, 0.1, 1])
plt.yticks([0.001, 0.01, 0.1, 1])
plt.title("Allele frequency for {}".format(options.outReport))
fig.savefig("AF_comparison.raw_AF.{}.png".format(options.outReport))
plt.close(fig)
# Plot rare variant figure
fig = plt.figure()
ax = plt.gca()
ax.set_xscale('log')
ax.set_yscale('log')
ax.scatter(rare_x_list, rare_y_list, color='black', s=8)
ax.set_xlabel('Allele Frequency Sample Set Broad')
ax.set_ylabel('Allele Frequency Sample Set Not Broad')
ax.grid()
ax.plot([0.0, 1.0], [0.0, 1.0], color="red")
plt.xticks([0.001, 0.01, 0.1, 1])
plt.yticks([0.001, 0.01, 0.1, 1])
plt.title("Allele frequency for {}".format(options.outReport))
fig.savefig(
"AF_comparison.raw_AF.either_less_than_or_equal_0.01.{}.png".format(
options.outReport))
plt.close(fig)
# Plot common variant figure
fig = plt.figure()
ax = plt.gca()
ax.set_xscale('log')
ax.set_yscale('log')
ax.scatter(common_x_list, common_y_list, color='black', s=8)
ax.set_xlabel('Allele Frequency Sample Set Broad')
ax.set_ylabel('Allele Frequency Sample Set Not Broad')
ax.grid()
ax.plot([0.0, 1.0], [0.0, 1.0], color="red")
plt.xticks([0.001, 0.01, 0.1, 1])
plt.yticks([0.001, 0.01, 0.1, 1])
plt.title("Allele frequency for {}".format(options.outReport))
fig.savefig("AF_comparison.raw_AF.both_more_than_0.01.{}.png".format(
options.outReport))
plt.close(fig)
def test_walk(self):
# easy case: all same sites
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
reader3 = vcf.Reader(fh('example-4.0.vcf'))
n = 0
for x in utils.walk_together(reader1, reader2, reader3):
assert len(x) == 3
assert (x[0] == x[1]) and (x[1] == x[2])
n+= 1
assert n == 5
# artificial case 2 from the left, 2 from the right, 2 together, 1 from the right, 1 from the left
expected = 'llrrttrl'
reader1 = vcf.Reader(fh('walk_left.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
for ex, recs in zip(expected, utils.walk_together(reader1, reader2)):
if ex == 'l':
assert recs[0] is not None
assert recs[1] is None
if ex == 'r':
assert recs[1] is not None
assert recs[0] is None
if ex == 't':
assert recs[0] is not None
assert recs[1] is not None
# case with working custom equality function
# without custom function, exception should be raised
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('walk_refcall.vcf'))
self.assertRaises(AttributeError, next,
utils.walk_together(reader1, reader2))
# with custom function, iteration works
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('walk_refcall.vcf'))
def custom_eq(rec1, rec2):
# check for equality only on CHROM, POS, and REF
if rec1 is None or rec2 is None:
return False
return rec1.CHROM == rec2.CHROM and rec1.POS == rec2.POS and \
rec1.REF == rec2.REF
nrecs, ncomps = 0, 0
for x in utils.walk_together(reader1, reader2, eq_func=custom_eq):
assert len(x) == 2
# avoid assert() when one record is None
if x[0] is not None and x[1] is not None:
assert (custom_eq(x[0], x[1]) and custom_eq(x[1], x[0]))
ncomps += 1
# still increment counter to ensure iteration is finished for all
# records
nrecs += 1
# check number of records total
assert nrecs == 5
# check how many records found in all files
assert ncomps == 4
parser.add_option("-v",
"--vcf",
action="store",
type="string",
dest="vcf_filename")
parser.add_option("-n",
"--nea",
action="store",
type="string",
dest="nea_filename")
(options, args) = parser.parse_args()
vcf_reader = vcf.Reader(open(options.vcf_filename, 'r'))
nea_reader = vcf.Reader(open(options.nea_filename, 'r'))
for record in utils.walk_together(vcf_reader, nea_reader):
human_record = record[0]
neand_record = record[1]
if (human_record is not None) & (neand_record is not None):
neand_gt = neand_record.genotype('AltaiNea').gt_bases
if (neand_gt is not None):
if ((human_record.INFO['AFR_AF'][0] < 0.01) &
((human_record.INFO['EAS_AF'][0] > 0.01) |
(human_record.INFO['EUR_AF'][0] > 0.01))):
if ((neand_gt[0] is not human_record.REF) |
(neand_gt[2] is not human_record.REF)):
print human_record.CHROM, human_record.POS, human_record.POS, human_record.ID, human_record.REF, human_record.ALT[
0], human_record.QUAL,
print neand_gt[0], neand_gt[2], neand_record.QUAL,
print human_record.INFO['AFR_AF'][0], human_record.INFO[
'EUR_AF'][0], human_record.INFO['EAS_AF'][0]
def test_walk(self):
# easy case: all same sites
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
reader3 = vcf.Reader(fh('example-4.0.vcf'))
n = 0
for x in utils.walk_together(reader1, reader2, reader3):
assert len(x) == 3
assert (x[0] == x[1]) and (x[1] == x[2])
n += 1
assert n == 5
# artificial case 2 from the left, 2 from the right, 2 together, 1 from the right, 1 from the left
expected = 'llrrttrl'
reader1 = vcf.Reader(fh('walk_left.vcf'))
reader2 = vcf.Reader(fh('example-4.0.vcf'))
for ex, recs in zip(expected, utils.walk_together(reader1, reader2)):
if ex == 'l':
assert recs[0] is not None
assert recs[1] is None
if ex == 'r':
assert recs[1] is not None
assert recs[0] is None
if ex == 't':
assert recs[0] is not None
assert recs[1] is not None
# case with working custom equality function
# without custom function, exception should be raised
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('walk_refcall.vcf'))
self.assertRaises(AttributeError, next,
utils.walk_together(reader1, reader2))
# with custom function, iteration works
reader1 = vcf.Reader(fh('example-4.0.vcf'))
reader2 = vcf.Reader(fh('walk_refcall.vcf'))
def custom_eq(rec1, rec2):
# check for equality only on CHROM, POS, and REF
if rec1 is None or rec2 is None:
return False
return rec1.CHROM == rec2.CHROM and rec1.POS == rec2.POS and \
rec1.REF == rec2.REF
nrecs, ncomps = 0, 0
for x in utils.walk_together(reader1, reader2, eq_func=custom_eq):
assert len(x) == 2
# avoid assert() when one record is None
if x[0] is not None and x[1] is not None:
assert (custom_eq(x[0], x[1]) and custom_eq(x[1], x[0]))
ncomps += 1
# still increment counter to ensure iteration is finished for all
# records
nrecs += 1
# check number of records total
assert nrecs == 5
# check how many records found in all files
assert ncomps == 4
def main():
#dev_vcf = '/Users/atoutoud/Projects/testCompare/data/NA12891.dev_short.vcf'
#truth_vcf = '/Users/atoutoud/Projects/testCompare/data/NA12891.truth_short.vcf'
truth_vcf = sys.argv[1]
dev_vcf = sys.argv[2]
#dev_reader= vcf.Reader(open(dev_vcf, 'r'))
#truth_reader = vcf.Reader(open(truth_vcf,'r'))
print('Sample Comparison')
dev_reader = vcf.Reader(filename=dev_vcf)
truth_reader = vcf.Reader(filename=truth_vcf)
#Checks if a filename is provided. pyVCF looks for the filename in the header line, for replicates of the same sample with different filenames
# the correct ones should be provided otherwise it will fail.
if len(sys.argv) == 4:
sample = sys.argv[3]
else:
sample = os.path.basename(truth_vcf).split(os.extsep)[0]
print(sample)
summary = Comparison()
records_dont_match = []
call_difference = []
percent_difference = []
DP_range = []
#Walk_together is a pyVCF inbuilt function to read two vcfs at the same time.
for dev_rec, truth_rec in walk_together(dev_reader, truth_reader):
# A record corresponds to [CHROM,POS,REF,ALT], if the same it checks the metrics differences.
if dev_rec == truth_rec:
try:
#If the DP is different between the records.
if dev_rec.genotype(sample)['DP'] != truth_rec.genotype(
sample)['DP']:
summary.diff_metrics += 1
#count_metrics += 1
print('')
print(dev_rec.CHROM, dev_rec.POS, dev_rec.REF, dev_rec.ALT,
dev_rec.QUAL)
print(
'--------------------------------------------------------------'
)
print('\t'.join(dev_rec.FORMAT.split(':')))
for entry in truth_rec.genotype(sample).data:
print(entry, end='\t')
print('')
for entry in dev_rec.genotype(sample).data:
print(entry, end='\t')
true_DP = truth_rec.genotype(sample)['DP']
test_DP = dev_rec.genotype(sample)['DP']
DP_range.append(true_DP)
DP_range.append(test_DP)
if true_DP == 0:
difference = 0 # had to set, as the % different calculation divides by the true_DP, so if that is 0 it breaks
else:
difference = round(
abs((test_DP - true_DP) / true_DP * 100), 4)
percent_difference.append(difference)
DP_diff = true_DP - test_DP
call_difference.append(DP_diff)
print('\nDP difference {}'.format(DP_diff))
print(difference, '%')
print('')
if dev_rec.genotype(sample)['GQ'] <= 20:
summary.dev_GQ += 1
elif truth_rec.genotype(sample)['GQ'] <= 20:
summary.truth_GQ += 1
else:
summary.matches += 1
if dev_rec.genotype(sample)['GQ'] != truth_rec.genotype(
sample)['GQ']:
summary.diff_GQ += 1
#
except AttributeError:
summary.no_format_count += 1
summary.no_formats.append([dev_rec, dev_rec.INFO])
print('No format fields {} at position:{}'.format(
dev_rec.CHROM, dev_rec.POS))
else:
#count_no_match +=1
summary.diff += 1
#Stores the different values so they can be explorted all together at the end.
if truth_rec is None:
records_dont_match.append({
"truth": (truth_rec),
"dev":
(dev_rec.CHROM, dev_rec.POS, dev_rec.REF, dev_rec.ALT)
})
elif dev_rec is None:
records_dont_match.append({
"truth": (truth_rec.CHROM, truth_rec.POS, truth_rec.REF,
truth_rec.ALT),
"dev": (dev_rec)
})
else:
records_dont_match.append({
"truth": (truth_rec.CHROM, truth_rec.POS, truth_rec.REF,
truth_rec.ALT),
"dev":
(dev_rec.CHROM, dev_rec.POS, dev_rec.REF, dev_rec.ALT)
})
#print ('** Records do not match **',dev_rec,truth_rec)
summary.total_count()
stats1, stats2 = summary.get_stats()
#summary.output_no_format()
#Prints the summary metrics for the entirety of the vcf files
summary.print_metrics(round(stats1, 4), round(stats2, 4))
print("\nRecords that didn't match first is truth, second is dev")
for i in records_dont_match:
print(i)
#Outputs histogram values for DP difference and percent difference.
calculate_hist(call_difference,
[1, 2, 3, 4, 5, 6, 7, 8, 9,
max(call_difference)])
print(
'***Please note last bin contains values of difference greater than 8 calls***'
)
calculate_hist(percent_difference, [
0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0,
max(percent_difference)
])
print(
'***Please note last bin contains entities with a percent change greater than 5% ***'
)
print('\nDP range:', min(DP_range), max(DP_range))