Fixed bugs in DiagnoseTargets
DT would not report bad mates! that has been fixed Signed-off-by: Mauricio Carneiro <carneiro@broadinstitute.org>
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538cdf9210
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@ -250,6 +250,7 @@ public class DiagnoseTargets extends LocusWalker<Long, Long> {
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private void outputStatsToVCF(IntervalStatistics stats, Allele refAllele) {
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GenomeLoc interval = stats.getInterval();
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List<Allele> alleles = new ArrayList<Allele>();
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Map<String, Object> attributes = new HashMap<String, Object>();
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ArrayList<Genotype> genotypes = new ArrayList<Genotype>();
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@ -265,7 +266,9 @@ public class DiagnoseTargets extends LocusWalker<Long, Long> {
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attributes.put(VCFConstants.DEPTH_KEY, stats.averageCoverage());
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vcb = vcb.attributes(attributes);
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if (debug) {
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System.out.printf("Output -- Interval: %s, Coverage: %.2f%n", stats.getInterval(), stats.averageCoverage());
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}
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for (String sample : samples) {
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Map<String, Object> infos = new HashMap<String, Object>();
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SampleStatistics sampleStat = stats.getSample(sample);
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@ -277,14 +280,14 @@ public class DiagnoseTargets extends LocusWalker<Long, Long> {
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Set<String> filters = new HashSet<String>();
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filters.addAll(statusesToStrings(stats.getSample(sample).getCallableStatuses(thresholds)));
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if (debug) {
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System.out.printf("Found %d bad mates out of %d reads %n", sampleStat.getnBadMates(), sampleStat.getnReads());
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}
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genotypes.add(new Genotype(sample, null, VariantContext.NO_LOG10_PERROR, filters, infos, false));
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}
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vcb = vcb.genotypes(genotypes);
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if (debug) {
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System.out.printf("Output -- Interval: %s, Coverage: %.2f%n", stats.getInterval(), stats.averageCoverage());
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}
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vcfWriter.add(vcb.make());
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@ -306,6 +309,6 @@ public class DiagnoseTargets extends LocusWalker<Long, Long> {
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}
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private IntervalStatistics createIntervalStatistic(GenomeLoc interval) {
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return new IntervalStatistics(samples, interval /*, minimumCoverage, maximumCoverage, minimumMappingQuality, minimumBaseQuality*/);
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return new IntervalStatistics(samples, interval);
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}
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}
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@ -104,19 +104,19 @@ class SampleStatistics {
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double intervalSize = interval.size();
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if ((nBadMates / nReads) > thresholds.getBadMateStatusThreshold())
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if (((double) nBadMates / nReads) >= thresholds.getBadMateStatusThreshold())
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output.add(CallableStatus.BAD_MATE);
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if ((totals.get(CallableStatus.COVERAGE_GAPS) / intervalSize) > thresholds.getCoverageStatusThreshold())
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if ((totals.get(CallableStatus.COVERAGE_GAPS) / intervalSize) >= thresholds.getCoverageStatusThreshold())
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output.add(CallableStatus.COVERAGE_GAPS);
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if ((totals.get(CallableStatus.LOW_COVERAGE) / intervalSize) > thresholds.getCoverageStatusThreshold())
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if ((totals.get(CallableStatus.LOW_COVERAGE) / intervalSize) >= thresholds.getCoverageStatusThreshold())
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output.add(CallableStatus.LOW_COVERAGE);
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if ((totals.get(CallableStatus.EXCESSIVE_COVERAGE) / intervalSize) > thresholds.getExcessiveCoverageThreshold())
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if ((totals.get(CallableStatus.EXCESSIVE_COVERAGE) / intervalSize) >= thresholds.getExcessiveCoverageThreshold())
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output.add(CallableStatus.EXCESSIVE_COVERAGE);
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if ((totals.get(CallableStatus.POOR_QUALITY) / intervalSize) > thresholds.getQualityStatusThreshold())
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if ((totals.get(CallableStatus.POOR_QUALITY) / intervalSize) >= thresholds.getQualityStatusThreshold())
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output.add(CallableStatus.POOR_QUALITY);
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if (totals.get(CallableStatus.REF_N) > 0)
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@ -161,7 +161,7 @@ class SampleStatistics {
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// Was this read already processed?
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if (read.getTemporaryAttribute("checkedBadMate") == null) {
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nReads++;
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if (hasValidMate(read, thresholds))
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if (!hasValidMate(read, thresholds))
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nBadMates++;
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read.setTemporaryAttribute("checkedBadMate", true);
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}
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@ -254,7 +254,7 @@ class SampleStatistics {
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* reasonable insert size?
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* inverted?
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* same orientation?
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* todo - same contig?
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* same contig?
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* is pair mapped?
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* todo - is forced mate?
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*
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@ -264,6 +264,10 @@ class SampleStatistics {
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if (!read.getReadPairedFlag())
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return false;
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// different contigs
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if (read.getMateReferenceIndex() != read.getReferenceIndex())
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return false;
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// unmapped
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if (read.getMateUnmappedFlag() || read.getReadUnmappedFlag())
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return false;
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@ -277,10 +281,19 @@ class SampleStatistics {
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read.getAlignmentStart() < read.getMateAlignmentStart())
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return false;
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// TODO note: IGV uses a different alorithm for insert size, there should be a common util class that does this for you
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// mates are too far apart
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if (Math.abs(read.getAlignmentStart() - read.getMateAlignmentStart()) > thresholds.getMaximumInsertSize())
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return false;
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return true;
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}
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public int getnReads() {
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return nReads;
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}
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public int getnBadMates() {
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return nBadMates;
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}
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}
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@ -129,12 +129,12 @@ class ThresHolder {
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// INFO fields for overall data
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headerLines.add(new VCFInfoHeaderLine(VCFConstants.END_KEY, 1, VCFHeaderLineType.Integer, "Stop position of the interval"));
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headerLines.add(new VCFInfoHeaderLine(VCFConstants.DEPTH_KEY, 1, VCFHeaderLineType.Float, "Average depth across the interval. Sum of the depth in a lci divided by interval size."));
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headerLines.add(new VCFInfoHeaderLine(VCFConstants.DEPTH_KEY, 1, VCFHeaderLineType.Float, "Average depth across the interval. Sum of the depth in a loci divided by interval size."));
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headerLines.add(new VCFInfoHeaderLine("Diagnose Targets", 0, VCFHeaderLineType.Flag, "DiagnoseTargets mode"));
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// FORMAT fields for each genotype
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// todo -- find the appropriate VCF constants
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headerLines.add(new VCFFormatHeaderLine(VCFConstants.DEPTH_KEY, 1, VCFHeaderLineType.Float, "Average depth across the interval. Sum of the depth in a lci divided by interval size."));
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headerLines.add(new VCFFormatHeaderLine(VCFConstants.DEPTH_KEY, 1, VCFHeaderLineType.Float, "Average depth across the interval. Sum of the depth in a loci divided by interval size."));
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headerLines.add(new VCFFormatHeaderLine("Q1", 1, VCFHeaderLineType.Float, "Lower Quartile of depth distribution."));
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headerLines.add(new VCFFormatHeaderLine("MED", 1, VCFHeaderLineType.Float, "Median of depth distribution."));
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headerLines.add(new VCFFormatHeaderLine("Q3", 1, VCFHeaderLineType.Float, "Upper Quartile of depth Distribution."));
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