parameterized a bit more
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@877 348d0f76-0448-11de-a6fe-93d51630548a
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@ -65,6 +65,20 @@ public class SomaticMutationWalker extends LocusWalker<Integer, Integer> {
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@Argument(fullName = "normal_sample_name", shortName = "s2", required = true, doc="Name of the normal sample")
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public String normalSampleName;
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@Argument(fullName = "tumor_lod", required = false, doc = "LOD threshold for calling tumor variant")
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public float TUMOR_LOD_THRESHOLD = 6.3f;
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@Argument(fullName = "normal_lod", required = false, doc = "LOD threshold for calling normal non-variant")
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public float NORMAL_LOD_THRESHOLD = 2.3f;
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@Argument(fullName = "min_mutant_sum", required = false, doc = "threshold for sum of mutant allele quality scores")
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public int MIN_MUTANT_SUM = 100;
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@Argument(fullName = "output_failures", required = false, doc="produce output for failed sites")
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public boolean OUTPUT_FAILURES = false;
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public boolean bedOutput = true;
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public void initialize() {
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@ -79,18 +93,9 @@ public class SomaticMutationWalker extends LocusWalker<Integer, Integer> {
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public static int MAX_INSERT_SIZE = 10000;
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public static int MIN_MUTANT_SUM_PRETEST = 60;
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public static int MIN_MUTANT_SUM = 100;
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public static int MIN_QSCORE = 13;
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// public static double TUMOR_LOD = 6.3d;
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public static double TUMOR_LOD = 4.0d;
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public static double NORMAL_LOD = 2.3d;
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private String cachedContigName;
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private byte[] cachedContig;
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private boolean outputFailures = true;
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private static class LocusReadPile {
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private char refBase;
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@ -257,7 +262,7 @@ public class SomaticMutationWalker extends LocusWalker<Integer, Integer> {
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int mutantSum = tumorReadPile.qualitySums.get(altAllele);
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int refSum = tumorReadPile.qualitySums.get(ref);
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if (tumorReadPile.getAltVsRef(altAllele) >= TUMOR_LOD
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if (tumorReadPile.getAltVsRef(altAllele) >= TUMOR_LOD_THRESHOLD
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// ||
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// (mutantSum >= MIN_MUTANT_SUM && (float)mutantSum / (float) refSum >= 0.05f)
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) {
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@ -299,8 +304,8 @@ public class SomaticMutationWalker extends LocusWalker<Integer, Integer> {
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// at least 100 or the LOD score for mutant:ref + mutant:mutant vs ref:ref must
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// be at least 6.3;
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double tumorLod = t2.getAltVsRef(altAllele);
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if (t2.qualitySums.get(altAllele) < MIN_MUTANT_SUM && tumorLod < TUMOR_LOD) {
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if (outputFailures) {
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if (t2.qualitySums.get(altAllele) < MIN_MUTANT_SUM && tumorLod < TUMOR_LOD_THRESHOLD) {
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if (OUTPUT_FAILURES) {
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System.out.println("FAILED " + context.getContig() + ":" + context.getPosition() + " due to MAX MM QSCORE TEST." +
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" LOD was " + tumorReadPile.getAltVsRef(altAllele) +
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" LOD is now " + t2.getAltVsRef(altAllele) +
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@ -316,7 +321,7 @@ public class SomaticMutationWalker extends LocusWalker<Integer, Integer> {
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disaligner(context.getPosition(), tumorReadPile, StringUtil.bytesToString(refSeq.getBases()), refStart);
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if (shouldDisalign) {
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if (outputFailures) {
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if (OUTPUT_FAILURES) {
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System.out.println("FAILED " + context.getContig() + ":" + context.getPosition() + " due to DISALIGNMENT TEST.");
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}
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continue;
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@ -330,7 +335,7 @@ public class SomaticMutationWalker extends LocusWalker<Integer, Integer> {
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// (ii) the quality score sum for the mutant base in the normal must be < 50 and the
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// LOD score for ref:ref vs mutant:ref + mutant:mutant must be at least 2.3.
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double normalLod = normalReadPile.getRefVsAlt(altAllele);
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if ( normalReadPile.qualitySums.get(altAllele) > 50 || normalLod < NORMAL_LOD ) {
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if ( normalReadPile.qualitySums.get(altAllele) > 50 || normalLod < NORMAL_LOD_THRESHOLD) {
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continue;
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}
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