Renaming ContrastiveRecalibrator --> VariantRecalibrator in preparation for move to core
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5733 348d0f76-0448-11de-a6fe-93d51630548a
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@ -123,7 +123,7 @@ public class ApplyRecalibration extends RodWalker<Integer, Integer> {
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// setup the header fields
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final Set<VCFHeaderLine> hInfo = new HashSet<VCFHeaderLine>();
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hInfo.addAll(VCFUtils.getHeaderFields(getToolkit(), inputNames));
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hInfo.add(new VCFInfoHeaderLine(ContrastiveRecalibrator.VQS_LOD_KEY, 1, VCFHeaderLineType.Float, "log10-scaled probability of variant being true under the trained gaussian mixture model"));
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hInfo.add(new VCFInfoHeaderLine(VariantRecalibrator.VQS_LOD_KEY, 1, VCFHeaderLineType.Float, "log10-scaled probability of variant being true under the trained gaussian mixture model"));
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final TreeSet<String> samples = new TreeSet<String>();
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samples.addAll(SampleUtils.getUniqueSamplesFromRods(getToolkit(), inputNames));
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@ -170,12 +170,12 @@ public class ApplyRecalibration extends RodWalker<Integer, Integer> {
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for( VariantContext vc : tracker.getVariantContexts(ref, inputNames, null, context.getLocation(), true, false) ) {
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if( vc != null ) {
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if( ContrastiveRecalibrator.checkRecalibrationMode( vc, MODE ) ) {
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if( VariantRecalibrator.checkRecalibrationMode( vc, MODE ) ) {
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String filterString = null;
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final Map<String, Object> attrs = new HashMap<String, Object>(vc.getAttributes());
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final Double lod = (Double) lodMap.get( ref.getLocus().getContig(), ref.getLocus().getStart(), ref.getLocus().getStop() );
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if( vc.isNotFiltered() || ignoreInputFilterSet.containsAll(vc.getFilters()) ) {
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attrs.put(ContrastiveRecalibrator.VQS_LOD_KEY, String.format("%.4f", lod));
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attrs.put(VariantRecalibrator.VQS_LOD_KEY, String.format("%.4f", lod));
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for( int i = tranches.size() - 1; i >= 0; i-- ) {
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final Tranche tranche = tranches.get(i);
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if( lod >= tranche.minVQSLod ) {
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@ -48,15 +48,15 @@ import java.io.PrintStream;
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import java.util.*;
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/**
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* Applies calibrated variant cluster parameters to variant calls to produce an accurate and informative variant quality score.
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* Takes variant calls as .vcf files, learns a Gaussian mixture model over the variant annotations and evaluates the variant -- assigning an informative lod score
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*
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* User: rpoplin
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* Date: 3/12/11
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*
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* @help.summary Takes variant calls as .vcf files, learns a Gaussian mixture model over the variant annotations and evaluates the variants
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* @help.summary Takes variant calls as .vcf files, learns a Gaussian mixture model over the variant annotations and evaluates the variant -- assigning an informative lod score
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*/
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public class ContrastiveRecalibrator extends RodWalker<ExpandingArrayList<VariantDatum>, ExpandingArrayList<VariantDatum>> implements TreeReducible<ExpandingArrayList<VariantDatum>> {
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public class VariantRecalibrator extends RodWalker<ExpandingArrayList<VariantDatum>, ExpandingArrayList<VariantDatum>> implements TreeReducible<ExpandingArrayList<VariantDatum>> {
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public static final String VQS_LOD_KEY = "VQSLOD";
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@ -244,7 +244,7 @@ class MethodsDevelopmentCallingPipeline extends QScript {
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}
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// 3.) Variant Quality Score Recalibration - Generate Recalibration table
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class VQSR(t: Target, goldStandard: Boolean) extends ContrastiveRecalibrator with UNIVERSAL_GATK_ARGS {
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class VQSR(t: Target, goldStandard: Boolean) extends VariantRecalibrator with UNIVERSAL_GATK_ARGS {
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this.memoryLimit = 4
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this.reference_sequence = t.reference
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this.intervalsString ++= List(t.intervals)
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@ -187,7 +187,7 @@ class pbCalling extends QScript {
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this.analysisName = t.name + "_VF"
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}
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class VQSR(t: Target, goldStandard: Boolean) extends ContrastiveRecalibrator {
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class VQSR(t: Target, goldStandard: Boolean) extends VariantRecalibrator {
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this.memoryLimit = 6
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this.intervalsString ++= List(t.intervals)
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this.rodBind :+= RodBind("input", "VCF", if ( goldStandard ) { t.goldStandard_VCF } else { t.filteredVCF } )
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@ -154,7 +154,7 @@ class Exome_VQSR_FullSearch extends QScript {
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val directory = getPath(annotations,recalTogether)
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for ( call_thresh <- VQSR_CALL_THRESH ) {
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for ( vqsr_rb <- VQSR_RODBINDS.iterator ) {
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trait VQSR_Args extends ContrastiveRecalibrator {
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trait VQSR_Args extends VariantRecalibrator {
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this.allPoly = true
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this.analysisName = "VQSR_%s_%s_%.1f".format( annotations.reduceLeft( _ + "." + _), if ( recalTogether ) "true" else "false", call_thresh)
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this.commandDirectory = directory
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@ -166,17 +166,17 @@ class Exome_VQSR_FullSearch extends QScript {
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}
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val nameFormat = SCRIPT_BASE_NAME+".%1f.%s.".format(call_thresh,vqsr_rb._1)+"%s."
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if ( recalTogether ) {
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var vqsr = new ContrastiveRecalibrator with VQSR_Args with ExpandedIntervals with CommandLineGATKArgs
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var vqsr = new VariantRecalibrator with VQSR_Args with ExpandedIntervals with CommandLineGATKArgs
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vqsr.tranchesFile = new File(nameFormat.format("both")+"tranche")
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vqsr.recalFile = new File(nameFormat.format("both")+"recal")
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add(vqsr)
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addAll(eval(vqsr, ei.outList, "flanks"))
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addAll(eval(vqsr, INTS, "exons"))
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} else {
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var exons = new ContrastiveRecalibrator with VQSR_Args with CommandLineGATKArgs
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var exons = new VariantRecalibrator with VQSR_Args with CommandLineGATKArgs
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exons.tranchesFile = new File(nameFormat.format("exons")+"tranche")
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exons.recalFile = new File(nameFormat.format("exons")+"recal")
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var flanks = new ContrastiveRecalibrator with VQSR_Args
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var flanks = new VariantRecalibrator with VQSR_Args
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flanks.intervals :+= ei.outList.getAbsoluteFile
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flanks.jarFile = GATK_JAR
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flanks.memoryLimit = Some(8)
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@ -194,8 +194,8 @@ class Exome_VQSR_FullSearch extends QScript {
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}
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// want to apply and eval
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def eval(recal: ContrastiveRecalibrator) : List[QFunction] = { eval(recal,null,"") }
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def eval(recal: ContrastiveRecalibrator, list: File, ext: String) : List[QFunction] = {
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def eval(recal: VariantRecalibrator) : List[QFunction] = { eval(recal,null,"") }
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def eval(recal: VariantRecalibrator, list: File, ext: String) : List[QFunction] = {
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var functions : List[QFunction] = Nil
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trait ImplicitArgs extends CommandLineGATK {
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this.jarFile = recal.jarFile
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@ -245,4 +245,4 @@ class Exome_VQSR_FullSearch extends QScript {
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functions
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}
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}
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}
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@ -170,7 +170,7 @@ class WGSpipeline extends QScript {
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recombine.jobName = qscript.project + ".recombine"
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recombine.jobOutputFile = swapExt(combineVCFs.jobOutputFile, "combine.out", "recombine.out")
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val cr = new ContrastiveRecalibrator with CommandLineGATKArgs
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val cr = new VariantRecalibrator with CommandLineGATKArgs
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cr.rodBind :+= RodBind("hapmap","VCF", qscript.hapmap, "training=true, prior=3.0")
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cr.rodBind :+= RodBind("1kg", "VCF", qscript.omni, "training=true, prior=3.0")
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cr.rodBind :+= RodBind("input", "VCF", recombine.out)
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