diff --git a/svfilter.py b/svfilter.py
index abd885f0cb106d0edbcc9c2f67f9c0be42ea77a9..4a568ebc08f6be9fd097cdb514f4714f3ff9ed16 100644
--- a/svfilter.py
+++ b/svfilter.py
@@ -253,12 +253,30 @@ def setLikeliTag(genotyper):
exit(1)
-def GenomeSTRIPLikeRedundancyAnnotator(SVSet, duplicatescore_threshold=-2,
+def add_redundancy_infos_header(reader):
+ # Adding DUPLICATESCORE info (equivalent to GSDUPLICATESCORE)
+ reader.addInfo("DUPLICATESCORE", 1, "Float",
+ "LOD score that the events are distinct based on the "
+ "genotypes of the most discordant sample")
+ # Adding DUPLICATES info (equivalent to GSDUPLICATEOVERLAP)
+ reader.addInfo("DUPLICATEOVERLAP", 1, "Float",
+ "Highest overlap with a duplicate event")
+ # Adding DUPLICATEOVERLAP info (equivalent to GSDUPLICATEOVERLAP)
+ reader.addInfo("DUPLICATES", ".", "String",
+ "List of duplicate events preferred to this one")
+ # Adding NONDUPLICATEOVERLAP
+ reader.addInfo("NONDUPLICATEOVERLAP", 1, "Float",
+ "Amount of overlap with a non-duplicate")
+
+
+def GenomeSTRIPLikeRedundancyAnnotator(SVSet, reader,
+ duplicatescore_threshold=-2,
genotyper="svtyper"):
""" Annotating duplicate candidates based on the genotype likelihoods
- genotype likelihoods can be provided by svtyper or genomestrip
"""
+ add_redundancy_infos_header(reader)
setLikeliTag(genotyper)
variants = defaultdict()
@@ -344,7 +362,16 @@ def add_overlap_info_sv(sv, overlap, duplicatescore):
sv.record.info['NONDUPLICATEOVERLAP'] = overlap
-def GenomeSTRIPLikefiltering(SVSet):
+def add_filter_infos_header(reader):
+ # FILTERS
+ # Adding specific filters
+ reader.addFilter("CALLRATE", "Call rate <0.75")
+ reader.addFilter("MONOMORPH", "All samples have the same genotype")
+ reader.addFilter("DUPLICATE", "GSDUPLICATESCORE>0")
+ reader.addFilter("OVERLAP", "NONDUPLICATEOVERLAP>0.7")
+
+
+def GenomeSTRIPLikefiltering(SVSet, reader):
""" Filtering the candidate CNVs according to the following criteria
- non duplicate sites
- variant sites
@@ -355,30 +382,15 @@ def GenomeSTRIPLikefiltering(SVSet):
(use NONVARIANTSCORE in both cases)
"""
+ add_filter_infos_header(reader)
+
for sv in SVSet:
info = sv.record.info
if callRate(sv) < 0.75:
sv.filter.add("CALLRATE")
if not Polymorph(sv):
sv.filter.add("MONOMORPH")
- # if info['GSDUPLICATESCORE'] and info['GSDUPLICATESCORE']>0:
- # sv.filter.add("DUPLICATE")
- # DUPLICATE
if 'NONDUPLICATEOVERLAP' in info and info['NONDUPLICATEOVERLAP'] > 0.7:
sv.filter.add("OVERLAP")
-
if "DUPLICATESCORE" in info is not None and info['DUPLICATESCORE'] > -2:
sv.filter.add("DUPLICATE")
- # NONVARIANT
- if 'GSNONVARSCORE' in info and info['GSNONVARSCORE'] and info['GSNONVARSCORE'] > 13:
- sv.filter.add("NONVARIANT")
- # GTDEPTH
- if 'GSDEPTHRATIO' in info and (info['GSDEPTHRATIO'] is None or info['GSDEPTHRATIO'] > 0.8):
- sv.filter.add("DEPTH")
- if 'DEPTHRATIO' in info and (isnan(info['DEPTHRATIO']) or info['DEPTHRATIO'] > 0.8):
- sv.filter.add("DDEPTH")
- if 'DEPTHCALLTHRESHOLD' in info and info['DEPTHCALLTHRESHOLD'] > 1:
- sv.filter.add("CCOVERAGE")
- # CLUSTERSEP
- if 'GSM1' in info and (info['GSM1'] <= -0.5 or info['GSM1'] >= 2.0):
- sv.filter.add("CLUSTERSEP")
diff --git a/svreader/Annotate.py b/svreader/Annotate.py
index d6bb22af15cd5ce9d79c3b183e57cbfccf4a1647..66d68137a66326b0785d022125b39c17e007c7b0 100644
--- a/svreader/Annotate.py
+++ b/svreader/Annotate.py
@@ -1,6 +1,7 @@
-
-from svreader import SVRecord, SVReader, SVWriter
+import sys
+from svrunner_utils import eprint
+from svreader import SVReader, SVWriter
from pysam import VariantFile
@@ -8,6 +9,7 @@ HOM_REF = (0, 0)
HET_VAR = (0, 1)
HOM_VAR = (1, 1)
+
class AnnotatedRecord(object):
"""
A lightweight object to annotated the final records
@@ -56,7 +58,49 @@ class AnnotatedRecord(object):
@property
def samples(self):
- return self.record.samples
+ return [AnnotatedRecordSample(s) for s in self.record.samples.values()]
+
+ def setNewId(self, identifier):
+ try:
+ self.record.info['SOURCEID'] = self.id
+ except KeyError:
+ eprint("SOURCEID absent from record info keys,")
+ sys.exit(1)
+ self.id = identifier
+
+ def num_variant_samples(self):
+ return sum([s.isVariant for s in self.samples])
+
+ def variant_read_support(self):
+ return sum([s.AltSupport() for s in self.samples])
+
+ def qual(self):
+ return sum([s.SQ_score() for s in self.samples if s.isVariant])
+
+ def setQual(self):
+ self.record.qual = self.qual()
+
+ def AddSupportInfos(self):
+ supp_reads = self.variant_read_support()
+ num_supp_samples = self.num_variant_samples()
+ try:
+ self.record.info['SUPP_READS'] = supp_reads
+ self.record.info['NUM_SUPP_SAMPLES'] = num_supp_samples
+ except KeyError:
+ eprint("SUPP_READS or NUM_SUPP_SAMPLES absent from record info keys")
+ sys.exit(1)
+
+ def UnifiedPass(self):
+ """
+ All records passing the filters (PASS, .) ar now labelled PASS
+ """
+ record = self.record
+ filters = [f for f in record.filter]
+ # We make the assumption when a "." is present no other filter
+ # are present
+ if len(filters) == 0 or "." in filters:
+ record.filter.clear()
+ record.filter.add("PASS")
class AnnotatedRecordSample(object):
@@ -66,25 +110,41 @@ class AnnotatedRecordSample(object):
def __init__(self, variantsample):
self.variantsample = variantsample
+ def genotype(self):
+ return self.variantsample.get('GT')
+
+ def SQ_score(self):
+ return self.variantsample.get('SQ')
+
+ def AltSupport(self):
+ return self.variantsample.get('AO')[0]
+
+ @property
+ def isVariant(self):
+ if self.genotype() in [HET_VAR, HOM_VAR]:
+ return True
+ else:
+ return False
+
class VCFReader(SVReader):
def __init__(self, file_name, sv_to_report=None):
- super(VCFReader, self).__init__(file_name,
- generic_name,
- reference_handle)
+ super(VCFReader, self).__init__(file_name)
self.vcf_reader = VariantFile(file_name)
self.filename = file_name
- self.sv_to_report =sv_to_report
+ self.sv_to_report = sv_to_report
self.vcf_reader = VariantFile(file_name)
+ self.add_metadata()
+
def __iter__(self):
return self
def __next__(self):
while True:
raw_record = next(self.vcf_reader)
- record = (raw_record)
+ record = AnnotatedRecord(raw_record)
return record
def getHeader(self):
@@ -102,6 +162,17 @@ class VCFReader(SVReader):
type=None,
description=description)
+ def add_metadata(self):
+ self.addInfo("SOURCEID", 1, "String",
+ "The source sv identifier")
+ self.addInfo("SUPP_READS", 1, "Integer",
+ "Number of supporting reads")
+ self.addInfo("NUM_SUPP_SAMPLES", 1, "Integer",
+ "Number of supporting samples")
+ self.addFilter("LOWSUPPORT",
+ "total supp reads < 5 or supp samples < 2")
+
+
def getOrderedSamples(self):
samples = self.vcf_reader.header.samples
sample_names = [sample.rsplit('.')[0] for sample in samples]
diff --git a/svreader/__init__.py b/svreader/__init__.py
index be3e22ca439d4c2d8482d0019de18dc7ad5e2cb7..2309f13d958dde7c802dc8d911d09754ee64a325 100644
--- a/svreader/__init__.py
+++ b/svreader/__init__.py
@@ -228,34 +228,7 @@ class SVReader(object):
if excluded_regions is not None:
vcf_records = self._filter_for_gaps(vcf_records, excluded_regions,
cutoff_proximity)
- # Convert vcf to intervals
- # eprint("Converting to bedtools intervals")
- # variants = vcf_to_pybed(vcf_records, excluded_regions,
- # cutoff_proximity)
- #
- # # Identify SV overlapping regions to exclude
- # eprint("Loading exlusion intervals ")
- # eprint(excluded_regions)
- # toexclude = BedTool(excluded_regions).sort()
- # excluded = dict()
- # if len(toexclude):
- # eprint("Computing distance with gaps: %d gaps" % len(toexclude))
- # # removing cnv in a close proximity to gaps in the assembly
- # # -d=True In addition to the closest feature in B,
- # # report its distance to A as an extra column
- # # TODO this is questionnable ??? (remove this for genomestrip ?)
- # for sv in variants.closest(toexclude, d=True):
- # if (sv[4] != "."
- # and sv[4] != "-1"
- # and float(sv[-1]) < cutoff_proximity):
- # excluded[sv[3]] = 1
- #
- # vcf_records_filtered = []
- # for record in vcf_records:
- # if record.id not in excluded:
- # vcf_records_filtered.append(record)
- # vcf_records = vcf_records_filtered
-
+
return vcf_records
def GeneralFilterPass(self, record, minlen, maxlen):