Added VQSR to the downsampling script and changed memory limits for the clean script.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5817 348d0f76-0448-11de-a6fe-93d51630548a
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@ -3,6 +3,7 @@ package oneoffs.carneiro
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import org.broadinstitute.sting.queue.QScript
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import org.broadinstitute.sting.queue.extensions.gatk._
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import scala.io.Source._
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/**
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* Created by IntelliJ IDEA.
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* User: carneiro
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@ -38,6 +39,12 @@ class downsampling extends QScript {
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@Input(doc="Reference fasta file", shortName="R", required=false)
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var reference: File = new File("/seq/references/Homo_sapiens_assembly19/v1/Homo_sapiens_assembly19.fasta")
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@Input(doc="HapMap file", shortName="H", required=false)
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var hapmap: File = new File("/humgen/gsa-hpprojects/GATK/data/Comparisons/Validated/HapMap/3.3/sites_r27_nr.b37_fwd.vcf")
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@Input(doc="Omni file", shortName="O", required=false)
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var omni: File = new File("/humgen/gsa-hpprojects/GATK/data/Comparisons/Validated/Omni2.5_chip/Omni25_sites_1525_samples.b37.vcf")
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@Input(doc="dbSNP file", shortName="D", required=false)
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var dbSNP: File = new File("/humgen/gsa-hpprojects/GATK/data/Comparisons/Validated/dbSNP/dbsnp_132_b37.leftAligned.vcf")
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@ -55,6 +62,7 @@ class downsampling extends QScript {
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val queueLogDir: String = ".qlog/"
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val outFile: String = "cov.out"
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val fullCoverageVCF = new File("/humgen/gsa-hpprojects/dev/carneiro/downsampling/analysis/fullcov/fullcov.F1.filtered.vcf")
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val trancheTarget = "99.0"
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def script = {
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val nIntervals = math.min(200, countLines(targetIntervals))
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@ -120,6 +128,32 @@ class downsampling extends QScript {
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this.jobName = queueLogDir + outFile
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}
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// 3.) Variant Quality Score Recalibration - Generate Recalibration table
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case class VQSR(inFile: File, tranchesFiles: File, outFile: File) extends VariantRecalibrator with CommandLineGATKArgs {
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this.rodBind :+= RodBind("input", "VCF", inFile)
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this.rodBind :+= RodBind("hapmap", "VCF", hapmap, "known=false,training=true,truth=true,prior=15.0")
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this.rodBind :+= RodBind("omni", "VCF", omni, "known=false,training=true,truth=true,prior=12.0")
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this.rodBind :+= RodBind("dbsnp", "VCF", dbSNP, "known=true,training=false,truth=false,prior=10.0")
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this.use_annotation ++= List("QD", "HaplotypeScore", "MQRankSum", "ReadPosRankSum", "HRun")
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this.tranches_file = tranchesFile
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this.recal_file = outFile
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this.allPoly = true
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this.tranche ++= List("100.0", "99.9", "99.5", "99.3", "99.0", "98.9", "98.8", "98.5", "98.4", "98.3", "98.2", "98.1", "98.0", "97.9", "97.8", "97.5", "97.0", "95.0", "90.0")
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this.analysisName = t.name + "_VQSR"
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this.jobName = queueLogDir + outFile
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}
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// 4.) Apply the recalibration table to the appropriate tranches
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case class applyVQSR (inFile: File, tranchesFiles: File, outFile: File) extends ApplyRecalibration with CommandLineGATKArgs {
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this.rodBind :+= RodBind("input", "VCF", inFile)
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this.tranches_file = tranchesFile
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this.recal_file = inFile
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this.ts_filter_level = trancheTarget
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this.out = outFile
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this.analysisName = outFile + "_AVQSR"
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this.jobName = queueLogDir + outFile
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}
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case class eval (inFile: File, outFile: File) extends VariantEval with CommandLineGATKArgs {
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this.noST = true
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this.noEV = true
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@ -1,6 +1,3 @@
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import org.broadinstitute.sting.queue.QScript
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import org.broadinstitute.sting.queue.extensions.gatk.{RealignerTargetCreator, RodBind, IndelRealigner}
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/**
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* Created by IntelliJ IDEA.
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* User: carneiro
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@ -9,6 +6,9 @@ import org.broadinstitute.sting.queue.extensions.gatk.{RealignerTargetCreator, R
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* To change this template use File | Settings | File Templates.
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*/
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import org.broadinstitute.sting.queue.extensions.gatk.{IndelRealigner, RealignerTargetCreator, RodBind}
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import org.broadinstitute.sting.queue.QScript
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class justClean extends QScript {
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@ -62,7 +62,7 @@ class justClean extends QScript {
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clean.doNotUseSW = false
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clean.jobName = queueLogDir + outBam + ".clean"
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clean.jarFile = GATKjar
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clean.memoryLimit = 24
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clean.memoryLimit = 8
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clean.scatterCount = 84
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add(target, clean);
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