Updated test according to changes in the AF calculator framework.

Changes:
-------

* Updated current unit and integration test to use the new API components.
* Added unit tests for new classes AFPriorProvider and AFCalculatorProviders.
* Added integration test for mixed ploidy GenotypeGVCFs and CombineGVCFs
This commit is contained in:
Valentin Ruano-Rubio 2014-09-10 13:42:57 -04:00
parent 3cdeab6e9e
commit 95b45443ae
18 changed files with 631 additions and 180 deletions

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@ -60,6 +60,7 @@ import htsjdk.variant.variantcontext.Allele;
import htsjdk.variant.variantcontext.Genotype;
import htsjdk.variant.variantcontext.VariantContext;
import htsjdk.variant.variantcontext.VariantContextBuilder;
import org.broadinstitute.gatk.utils.variant.HomoSapiensConstants;
import java.io.*;
import java.util.*;
@ -106,7 +107,7 @@ public class AFCalcPerformanceTest {
final VariantContext vc = testBuilder.makeACTest(ACs, 0, nonTypePL);
timer.start();
final AFCalcResult resultTracker = calc.getLog10PNonRef(vc, priors);
final AFCalcResult resultTracker = calc.getLog10PNonRef(vc, HomoSapiensConstants.DEFAULT_PLOIDY, testBuilder.numAltAlleles, priors);
final long runtime = timer.getElapsedTimeNano();
int otherAC = 0;
@ -172,7 +173,7 @@ public class AFCalcPerformanceTest {
vcb.genotypes(genotypes);
timer.start();
final AFCalcResult resultTracker = calc.getLog10PNonRef(vcb.make(), priors);
final AFCalcResult resultTracker = calc.getLog10PNonRef(vcb.make(), HomoSapiensConstants.DEFAULT_PLOIDY, testBuilder.numAltAlleles, priors);
final long runtime = timer.getElapsedTimeNano();
final List<Object> columns = new LinkedList<Object>(coreValues);
@ -202,7 +203,7 @@ public class AFCalcPerformanceTest {
final VariantContext vc = testBuilder.makeACTest(ac, nNonInformative, nonTypePL);
timer.start();
final AFCalcResult resultTracker = calc.getLog10PNonRef(vc, priors);
final AFCalcResult resultTracker = calc.getLog10PNonRef(vc, HomoSapiensConstants.DEFAULT_PLOIDY, testBuilder.numAltAlleles, priors);
final long runtime = timer.getElapsedTimeNano();
final List<Object> columns = new LinkedList<Object>(coreValues);
@ -214,10 +215,10 @@ public class AFCalcPerformanceTest {
}
private static class ModelParams {
final AFCalcFactory.Calculation modelType;
final AFCalculatorImplementation modelType;
final int maxBiNSamples, maxTriNSamples;
private ModelParams(AFCalcFactory.Calculation modelType, int maxBiNSamples, int maxTriNSamples) {
private ModelParams(AFCalculatorImplementation modelType, int maxBiNSamples, int maxTriNSamples) {
this.modelType = modelType;
this.maxBiNSamples = maxBiNSamples;
this.maxTriNSamples = maxTriNSamples;
@ -238,6 +239,7 @@ public class AFCalcPerformanceTest {
SINGLE,
EXACT_LOG
}
public static void main(final String[] args) throws Exception {
final TTCCLayout layout = new TTCCLayout();
layout.setThreadPrinting(false);
@ -270,11 +272,11 @@ public class AFCalcPerformanceTest {
for ( final ExactCallLogger.ExactCall call : loggedCalls ) {
final AFCalcTestBuilder testBuilder = new AFCalcTestBuilder(call.vc.getNSamples(), 1,
AFCalcFactory.Calculation.EXACT_INDEPENDENT,
AFCalculatorImplementation.EXACT_INDEPENDENT,
AFCalcTestBuilder.PriorType.human);
logger.info(call);
final SimpleTimer timer = new SimpleTimer().start();
final AFCalcResult result = testBuilder.makeModel().getLog10PNonRef(call.vc, testBuilder.makePriors());
final AFCalcResult result = testBuilder.makeModel().getLog10PNonRef(call.vc, HomoSapiensConstants.DEFAULT_PLOIDY, testBuilder.numAltAlleles,testBuilder.makePriors());
final long newNanoTime = timer.getElapsedTimeNano();
if ( call.originalCall.anyPolymorphic(-1) || result.anyPolymorphic(-1) ) {
logger.info("**** ONE IS POLY");
@ -298,13 +300,13 @@ public class AFCalcPerformanceTest {
final int ac = Integer.valueOf(args[2]);
final AFCalcTestBuilder testBuilder = new AFCalcTestBuilder(nSamples, 1,
AFCalcFactory.Calculation.EXACT_INDEPENDENT,
AFCalculatorImplementation.EXACT_INDEPENDENT,
AFCalcTestBuilder.PriorType.human);
final VariantContext vc = testBuilder.makeACTest(new int[]{ac}, 0, 100);
final SimpleTimer timer = new SimpleTimer().start();
final AFCalcResult resultTracker = testBuilder.makeModel().getLog10PNonRef(vc, testBuilder.makePriors());
final AFCalcResult resultTracker = testBuilder.makeModel().getLog10PNonRef(vc, HomoSapiensConstants.DEFAULT_PLOIDY, testBuilder.numAltAlleles, testBuilder.makePriors());
final long runtime = timer.getElapsedTimeNano();
logger.info("result " + resultTracker.getLog10PosteriorOfAFGT0());
logger.info("runtime " + runtime);
@ -317,9 +319,9 @@ public class AFCalcPerformanceTest {
final PrintStream out = new PrintStream(new FileOutputStream(args[1]));
final List<ModelParams> modelParams = Arrays.asList(
new ModelParams(AFCalcFactory.Calculation.EXACT_REFERENCE, 10000, 10),
new ModelParams(AFCalculatorImplementation.EXACT_REFERENCE, 10000, 10),
// new ModelParams(AFCalcTestBuilder.ModelType.GeneralExact, 100, 10),
new ModelParams(AFCalcFactory.Calculation.EXACT_INDEPENDENT, 10000, 1000));
new ModelParams(AFCalculatorImplementation.EXACT_INDEPENDENT, 10000, 1000));
final boolean ONLY_HUMAN_PRIORS = false;
final List<AFCalcTestBuilder.PriorType> priorTypes = ONLY_HUMAN_PRIORS

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@ -56,6 +56,7 @@ import htsjdk.variant.variantcontext.VariantContext;
import htsjdk.variant.variantcontext.VariantContextBuilder;
import org.broadinstitute.gatk.engine.GenomeAnalysisEngine;
import org.broadinstitute.gatk.engine.arguments.GATKArgumentCollection;
import org.broadinstitute.gatk.tools.walkers.genotyper.afcalc.FixedAFCalculatorProvider;
import org.broadinstitute.gatk.utils.BaseTest;
import org.broadinstitute.gatk.utils.MathUtils;
import org.broadinstitute.gatk.utils.Utils;
@ -78,7 +79,8 @@ public class UnifiedGenotyperEngineUnitTest extends BaseTest {
final UnifiedArgumentCollection args = new UnifiedArgumentCollection();
final SampleList fakeSamples = SampleListUtils.singletonList("fake");
ugEngine = new UnifiedGenotypingEngine(args,fakeSamples,engine.getGenomeLocParser(),engine.getArguments().BAQMode);
ugEngine = new UnifiedGenotypingEngine(args,fakeSamples,engine.getGenomeLocParser(),
new FixedAFCalculatorProvider(args,null,true),engine.getArguments().BAQMode);
}
private UnifiedGenotypingEngine getEngine() {

View File

@ -69,16 +69,16 @@ public class UnifiedGenotyperGeneralPloidySuite1IntegrationTest extends WalkerTe
@Test(enabled = true)
public void testBOTH_GGA_Pools() {
executor.PC_LSV_Test(String.format("-A AlleleCountBySample -maxAltAlleles 2 -ploidy 24 -gt_mode GENOTYPE_GIVEN_ALLELES -out_mode EMIT_ALL_SITES -alleles %s", LSV_ALLELES), "LSV_BOTH_GGA", "BOTH", "39cccae4a26c64e09631e28f17db2792");
executor.PC_LSV_Test(String.format("-A AlleleCountBySample -maxAltAlleles 2 -ploidy 24 -gt_mode GENOTYPE_GIVEN_ALLELES -out_mode EMIT_ALL_SITES -alleles %s", LSV_ALLELES), "LSV_BOTH_GGA", "BOTH", "c731cd0ddb0fa153bffa7bc19586bfa6");
}
@Test(enabled = true)
public void testINDEL_GGA_Pools() {
executor.PC_LSV_Test(String.format("-A AlleleCountBySample -maxAltAlleles 1 -ploidy 24 -gt_mode GENOTYPE_GIVEN_ALLELES -out_mode EMIT_ALL_SITES -alleles %s", LSV_ALLELES), "LSV_INDEL_GGA", "INDEL", "5e4013183ca26b0d7c48ea2ec147d9d7");
executor.PC_LSV_Test(String.format("-A AlleleCountBySample -maxAltAlleles 1 -ploidy 24 -gt_mode GENOTYPE_GIVEN_ALLELES -out_mode EMIT_ALL_SITES -alleles %s", LSV_ALLELES), "LSV_INDEL_GGA", "INDEL", "b6ed1729a25670d81aff61099fb13998");
}
@Test(enabled = true)
public void testINDEL_maxAltAlleles2_ploidy1_Pools_noRef() {
executor.PC_LSV_Test_NoRef("-A AlleleCountBySample -maxAltAlleles 2 -ploidy 1", "LSV_INDEL_DISC_NOREF_p1", "INDEL", "af69cf83a27d082d76b18fede7ac2699");
executor.PC_LSV_Test_NoRef("-A AlleleCountBySample -maxAltAlleles 2 -ploidy 1", "LSV_INDEL_DISC_NOREF_p1", "INDEL", "54d718401c413fdbc1f801061bf8e7d1");
}
}

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@ -58,7 +58,7 @@ public class UnifiedGenotyperGeneralPloidySuite2IntegrationTest extends WalkerTe
@Test(enabled = true)
public void testINDEL_maxAltAlleles2_ploidy3_Pools_noRef() {
executor.PC_LSV_Test_NoRef("-A AlleleCountBySample -maxAltAlleles 2 -ploidy 3","LSV_INDEL_DISC_NOREF_p3","INDEL","68a2aa0b213fa5a53e925542e340fbe8");
executor.PC_LSV_Test_NoRef("-A AlleleCountBySample -maxAltAlleles 2 -ploidy 3","LSV_INDEL_DISC_NOREF_p3","INDEL","1426e311501a7bd96ecb75ed839f7c64");
}
@Test(enabled = true)

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@ -135,7 +135,7 @@ public class UnifiedGenotyperIndelCallingIntegrationTest extends WalkerTest {
WalkerTest.WalkerTestSpec spec2 = new WalkerTest.WalkerTestSpec(
baseCommandIndels + " --genotyping_mode GENOTYPE_GIVEN_ALLELES -alleles " + result.get(0).getAbsolutePath() + " -I " + validationDataLocation +
"low_coverage_CEU.chr1.10k-11k.bam -o %s -L " + result.get(0).getAbsolutePath(), 1,
Arrays.asList("8084abd2460e934e483403aff76a3698"));
Arrays.asList("34a92dd832bbb8ed53abf21ba88c6faa"));
executeTest("test MultiSample Pilot1 CEU indels using GENOTYPE_GIVEN_ALLELES", spec2);
}

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@ -65,7 +65,7 @@ public class UnifiedGenotyperNormalCallingIntegrationTest extends WalkerTest{
public void testMultiSamplePilot1() {
WalkerTest.WalkerTestSpec spec = new WalkerTest.WalkerTestSpec(
baseCommand + " -I " + validationDataLocation + "low_coverage_CEU.chr1.10k-11k.bam -o %s -L 1:10,022,000-10,025,000", 1,
Arrays.asList("9824ea30340fd3632bad672fc6ade114"));
Arrays.asList("a15a28d854789c71ef2879dd4c606b1a"));
executeTest("test MultiSample Pilot1", spec);
}
@ -97,7 +97,7 @@ public class UnifiedGenotyperNormalCallingIntegrationTest extends WalkerTest{
public void testMultipleSNPAlleles() {
WalkerTest.WalkerTestSpec spec = new WalkerTest.WalkerTestSpec(
"-T UnifiedGenotyper --contamination_fraction_to_filter 0.05 --disableDithering -R " + b37KGReference + " --no_cmdline_in_header -glm BOTH --dbsnp " + b37dbSNP129 + " -I " + privateTestDir + "multiallelic.snps.bam -o %s -L " + privateTestDir + "multiallelic.snps.intervals", 1,
Arrays.asList("2474c60302fc79f28bb0c721d305c09b"));
Arrays.asList("1a36b5c036e0452f526dc1a5fdd60929"));
executeTest("test Multiple SNP alleles", spec);
}

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@ -52,6 +52,7 @@ import org.broadinstitute.gatk.utils.Utils;
import org.broadinstitute.gatk.utils.collections.Pair;
import htsjdk.variant.variantcontext.Allele;
import htsjdk.variant.variantcontext.VariantContext;
import org.broadinstitute.gatk.utils.variant.HomoSapiensConstants;
import org.testng.Assert;
import org.testng.annotations.DataProvider;
import org.testng.annotations.Test;
@ -66,12 +67,12 @@ public class AFCalcPerformanceUnitTest extends BaseTest {
List<Object[]> tests = new ArrayList<Object[]>();
// list of all high-quality models in the system
final List<AFCalcFactory.Calculation> biAllelicModels = Arrays.asList(
AFCalcFactory.Calculation.EXACT_INDEPENDENT,
AFCalcFactory.Calculation.EXACT_REFERENCE);
final List<AFCalculatorImplementation> biAllelicModels = Arrays.asList(
AFCalculatorImplementation.EXACT_INDEPENDENT,
AFCalculatorImplementation.EXACT_REFERENCE);
final List<AFCalcFactory.Calculation> multiAllelicModels = Arrays.asList(
AFCalcFactory.Calculation.EXACT_INDEPENDENT);
final List<AFCalculatorImplementation> multiAllelicModels = Arrays.asList(
AFCalculatorImplementation.EXACT_INDEPENDENT);
// for ( final int nonTypePLs : Arrays.asList(100) ) {
// for ( final int nSamples : Arrays.asList(10000) ) {
@ -81,8 +82,8 @@ public class AFCalcPerformanceUnitTest extends BaseTest {
for ( final int nSamples : Arrays.asList(100, 1000) ) {
final List<Integer> alleleCounts = Arrays.asList(0, 1, 2, 3, 4, 5, 10, 50, 500);
for ( final int nAltAlleles : Arrays.asList(1, 2, 3) ) {
final List<AFCalcFactory.Calculation> models = nAltAlleles > 1 ? multiAllelicModels : biAllelicModels;
for ( final AFCalcFactory.Calculation model : models ) {
final List<AFCalculatorImplementation> models = nAltAlleles > 1 ? multiAllelicModels : biAllelicModels;
for ( final AFCalculatorImplementation model : models ) {
for ( final List<Integer> ACs : Utils.makePermutations(alleleCounts, nAltAlleles, true) ) {
if ( MathUtils.sum(ACs) < nSamples * 2 ) {
final AFCalcTestBuilder testBuilder
@ -118,7 +119,7 @@ public class AFCalcPerformanceUnitTest extends BaseTest {
final AFCalc calc = testBuilder.makeModel();
final double[] priors = testBuilder.makePriors();
final VariantContext vc = testBuilder.makeACTest(ACs, 0, nonTypePL);
final AFCalcResult result = calc.getLog10PNonRef(vc, priors);
final AFCalcResult result = calc.getLog10PNonRef(vc, HomoSapiensConstants.DEFAULT_PLOIDY, testBuilder.numAltAlleles, priors);
final Pair<Integer, Integer> expectedNEvaluation = estNumberOfEvaluations(testBuilder, vc, nonTypePL);
final int minEvals = expectedNEvaluation.getFirst();
final int maxEvals = expectedNEvaluation.getSecond();

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@ -46,13 +46,14 @@
package org.broadinstitute.gatk.tools.walkers.genotyper.afcalc;
import htsjdk.variant.variantcontext.*;
import org.apache.commons.lang.ArrayUtils;
import org.broadinstitute.gatk.utils.BaseTest;
import org.broadinstitute.gatk.tools.walkers.genotyper.UnifiedGenotypingEngine;
import org.broadinstitute.gatk.utils.BaseTest;
import org.broadinstitute.gatk.utils.MathUtils;
import org.broadinstitute.gatk.utils.QualityUtils;
import org.broadinstitute.gatk.utils.Utils;
import htsjdk.variant.variantcontext.*;
import org.broadinstitute.gatk.utils.variant.HomoSapiensConstants;
import org.testng.Assert;
import org.testng.annotations.BeforeSuite;
import org.testng.annotations.DataProvider;
@ -76,6 +77,19 @@ public class AFCalcUnitTest extends BaseTest {
final private static boolean Guillermo_FIXME = false; // TODO -- can only be enabled when GdA fixes bug
final private static boolean DEBUG_ONLY = false;
protected static List<AFCalc> createAFCalculators(final List<AFCalculatorImplementation> calcs, final int maxAltAlleles, final int ploidy) {
final List<AFCalc> AFCalcs = new LinkedList<>();
for ( final AFCalculatorImplementation calc : calcs ) {
if (calc.usableForParams(ploidy,maxAltAlleles))
AFCalcs.add(calc.newInstance());
else
throw new IllegalStateException("cannot use " + calc + " calculator instance with combination " + maxAltAlleles + " " + ploidy);
}
return AFCalcs;
}
@BeforeSuite
public void before() {
AA1 = makePL(Arrays.asList(A, A), 0, 20, 20);
@ -109,7 +123,7 @@ public class AFCalcUnitTest extends BaseTest {
private GetGLsTest(final AFCalc calc, int numAltAlleles, List<Genotype> arg, final double[] priors, final String priorName) {
super(GetGLsTest.class);
GLs = GenotypesContext.create(new ArrayList<Genotype>(arg));
GLs = GenotypesContext.create(new ArrayList<>(arg));
this.numAltAlleles = numAltAlleles;
this.calc = calc;
this.priors = priors;
@ -126,12 +140,12 @@ public class AFCalcUnitTest extends BaseTest {
}
public AFCalcResult execute() {
return getCalc().getLog10PNonRef(getVC(), getPriors());
return getCalc().getLog10PNonRef(getVC(), HomoSapiensConstants.DEFAULT_PLOIDY, numAltAlleles, getPriors());
}
public AFCalcResult executeRef() {
final AFCalc ref = AFCalcFactory.createAFCalc(AFCalcFactory.Calculation.EXACT_REFERENCE, getCalc().nSamples, getCalc().getMaxAltAlleles());
return ref.getLog10PNonRef(getVC(), getPriors());
final AFCalc ref = AFCalculatorImplementation.EXACT_REFERENCE.newInstance();
return ref.getLog10PNonRef(getVC(), HomoSapiensConstants.DEFAULT_PLOIDY, numAltAlleles, getPriors());
}
public double[] getPriors() {
@ -165,13 +179,18 @@ public class AFCalcUnitTest extends BaseTest {
}
}
private static final int MAX_ALT_ALLELES = 2;
private static final int PLOIDY = 2;
@DataProvider(name = "wellFormedGLs")
public Object[][] createSimpleGLsData() {
final List<Genotype> biAllelicSamples = Arrays.asList(AA1, AB1, BB1);
final List<Genotype> triAllelicSamples = Arrays.asList(AA2, AB2, BB2, AC2, BC2, CC2);
for ( final int nSamples : Arrays.asList(1, 2, 3, 4) ) {
List<AFCalc> calcs = AFCalcFactory.createAFCalcs( Arrays.asList( AFCalcFactory.Calculation.values() ), 4, 2, 2);
List<AFCalc> calcs = createAFCalculators(Arrays.asList(AFCalculatorImplementation.values()), MAX_ALT_ALLELES, PLOIDY);
final int nPriorValues = 2*nSamples+1;
final double[] flatPriors = MathUtils.normalizeFromLog10(new double[nPriorValues], true); // flat priors
@ -261,12 +280,12 @@ public class AFCalcUnitTest extends BaseTest {
samples.addAll(Collections.nCopies(nNonInformative, testData.nonInformative));
final int nSamples = samples.size();
List<AFCalc> calcs = AFCalcFactory.createAFCalcs(Arrays.asList(AFCalcFactory.Calculation.values()), 4, 2, 2);
List<AFCalc> calcs = createAFCalculators(Arrays.asList(AFCalculatorImplementation.values()), MAX_ALT_ALLELES, PLOIDY);
final double[] priors = MathUtils.normalizeFromLog10(new double[2*nSamples+1], true); // flat priors
for ( AFCalc model : calcs ) {
if ( testData.nAltAlleles > 1 && model instanceof OriginalDiploidExactAFCalc )
if ( testData.nAltAlleles > 1 && model instanceof OriginalDiploidExactAFCalc)
continue;
final GetGLsTest onlyInformative = new GetGLsTest(model, testData.nAltAlleles, testData.called, priors, "flat");
@ -289,15 +308,18 @@ public class AFCalcUnitTest extends BaseTest {
final AFCalcResult actual = withNonInformative.execute();
testResultSimple(withNonInformative);
compareAFCalcResults(actual, expected, onlyInformative.getCalc(), true);
compareAFCalcResults(actual, expected, onlyInformative.getCalc(), onlyInformative.numAltAlleles, true);
}
private void testResultSimple(final GetGLsTest cfg) {
final AFCalcResult refResultTracker = cfg.executeRef();
final AFCalcResult resultTracker = cfg.execute();
compareAFCalcResults(resultTracker, refResultTracker, cfg.getCalc(), true);
try {
compareAFCalcResults(resultTracker, refResultTracker, cfg.getCalc(), cfg.numAltAlleles, true);
} catch (Throwable t) {
cfg.execute();
throw new RuntimeException(t);
}
Assert.assertNotNull(resultTracker.getAllelesUsedInGenotyping());
Assert.assertTrue(cfg.getAlleles().containsAll(resultTracker.getAllelesUsedInGenotyping()), "Result object has alleles not in our initial allele list");
@ -310,9 +332,9 @@ public class AFCalcUnitTest extends BaseTest {
}
}
private void compareAFCalcResults(final AFCalcResult actual, final AFCalcResult expected, final AFCalc calc, final boolean onlyPosteriorsShouldBeEqual) {
private void compareAFCalcResults(final AFCalcResult actual, final AFCalcResult expected, final AFCalc calc, final int maxAltAlleles, final boolean onlyPosteriorsShouldBeEqual) {
// note we cannot really test the multi-allelic case because we actually meaningfully differ among the models here
final double TOLERANCE = calc.getMaxAltAlleles() > 1 ? 1000 : 0.1; // much tighter constraints on bi-allelic results
final double TOLERANCE = maxAltAlleles > 1 ? 1000 : 0.1; // much tighter constraints on bi-allelic results
if ( ! onlyPosteriorsShouldBeEqual ) {
Assert.assertEquals(actual.getLog10PriorOfAFEq0(), expected.getLog10PriorOfAFEq0(), TOLERANCE, "Priors AF == 0");
@ -322,7 +344,7 @@ public class AFCalcUnitTest extends BaseTest {
}
Assert.assertEquals(actual.getLog10PosteriorOfAFEq0(), expected.getLog10PosteriorOfAFEq0(), TOLERANCE, "Posteriors AF == 0");
Assert.assertEquals(actual.getLog10PosteriorOfAFGT0(), expected.getLog10PosteriorOfAFGT0(), TOLERANCE, "Posteriors AF > 0");
Assert.assertEquals(actual.getAlleleCountsOfMLE(), expected.getAlleleCountsOfMLE(), "MLE ACs");
Assert.assertTrue(Arrays.equals(actual.getAlleleCountsOfMLE(), expected.getAlleleCountsOfMLE()), "MLE ACs ");
Assert.assertEquals(actual.getAllelesUsedInGenotyping(), expected.getAllelesUsedInGenotyping(), "Alleles used in genotyping");
for ( final Allele a : expected.getAllelesUsedInGenotyping() ) {
@ -369,14 +391,14 @@ public class AFCalcUnitTest extends BaseTest {
final Genotype g;
final double pNonRef, tolerance;
final boolean canScale;
final List<AFCalcFactory.Calculation> badModels;
final List<AFCalculatorImplementation> badModels;
final VariantContext vc;
private PNonRefData(final VariantContext vc, Genotype g, double pNonRef, double tolerance, final boolean canScale) {
this(vc, g, pNonRef, tolerance, canScale, Collections.<AFCalcFactory.Calculation>emptyList());
this(vc, g, pNonRef, tolerance, canScale, Collections.<AFCalculatorImplementation>emptyList());
}
private PNonRefData(final VariantContext vc, Genotype g, double pNonRef, double tolerance, final boolean canScale, final List<AFCalcFactory.Calculation> badModels) {
private PNonRefData(final VariantContext vc, Genotype g, double pNonRef, double tolerance, final boolean canScale, final List<AFCalculatorImplementation> badModels) {
this.g = g;
this.pNonRef = pNonRef;
this.tolerance = tolerance;
@ -433,7 +455,7 @@ public class AFCalcUnitTest extends BaseTest {
new PNonRefData(vc3, makePL(GG, 10, 10, 10, 10, 10, 0), 0.9166667, TOLERANCE, false)
);
for ( AFCalcFactory.Calculation modelType : Arrays.asList(AFCalcFactory.Calculation.EXACT_REFERENCE, AFCalcFactory.Calculation.EXACT_INDEPENDENT) ) {
for ( AFCalculatorImplementation modelType : Arrays.asList(AFCalculatorImplementation.EXACT_REFERENCE, AFCalculatorImplementation.EXACT_INDEPENDENT) ) {
for ( int nNonInformative = 0; nNonInformative < 3; nNonInformative++ ) {
for ( final PNonRefData rootData : initialPNonRefData ) {
for ( int plScale = 1; plScale <= 100000; plScale *= 10 ) {
@ -451,7 +473,7 @@ public class AFCalcUnitTest extends BaseTest {
@Test(enabled = true && ! DEBUG_ONLY, dataProvider = "PNonRef")
private void testPNonRef(final VariantContext vcRoot,
AFCalcFactory.Calculation modelType,
AFCalculatorImplementation modelType,
AFCalcTestBuilder.PriorType priorType,
final List<Genotype> genotypes,
final double expectedPNonRef,
@ -463,7 +485,7 @@ public class AFCalcUnitTest extends BaseTest {
final VariantContextBuilder vcb = new VariantContextBuilder(vcRoot);
vcb.genotypes(genotypes);
final AFCalcResult resultTracker = testBuilder.makeModel().getLog10PNonRef(vcb.make(), testBuilder.makePriors());
final AFCalcResult resultTracker = testBuilder.makeModel().getLog10PNonRef(vcb.make(), PLOIDY, MAX_ALT_ALLELES, testBuilder.makePriors());
Assert.assertEquals(resultTracker.getLog10PosteriorOfAFGT0(), Math.log10(expectedPNonRef), tolerance,
"Actual pNonRef not within tolerance " + tolerance + " of expected");
@ -476,12 +498,12 @@ public class AFCalcUnitTest extends BaseTest {
final List<Integer> bigNonRefPLs = Arrays.asList(0, 1, 2, 3, 4, 5, 10, 15, 20, 25, 50, 100, 1000);
final List<List<Integer>> bigDiploidPLs = removeBadPLs(Utils.makePermutations(bigNonRefPLs, 3, true));
for ( AFCalcFactory.Calculation modelType : AFCalcFactory.Calculation.values() ) {
for ( AFCalculatorImplementation modelType : AFCalculatorImplementation.values() ) {
if ( false ) { // for testing only
tests.add(new Object[]{modelType, toGenotypes(Arrays.asList(Arrays.asList(0,100,0)))});
} else {
if ( modelType == AFCalcFactory.Calculation.EXACT_GENERAL_PLOIDY ) continue; // TODO -- GENERAL_PLOIDY DOESN'T WORK
if ( modelType == AFCalculatorImplementation.EXACT_GENERAL_PLOIDY ) continue; // TODO -- GENERAL_PLOIDY DOESN'T WORK
// test all combinations of PLs for 1 sample
for ( final List<List<Integer>> PLsPerSample : Utils.makePermutations(bigDiploidPLs, 1, true) ) {
@ -539,16 +561,16 @@ public class AFCalcUnitTest extends BaseTest {
}
@Test(enabled = true && ! DEBUG_ONLY, dataProvider = "PNonRefBiallelicSystematic")
private void PNonRefBiallelicSystematic(AFCalcFactory.Calculation modelType, final List<Genotype> genotypes) {
private void PNonRefBiallelicSystematic(AFCalculatorImplementation modelType, final List<Genotype> genotypes) {
//logger.warn("Running " + modelType + " with " + genotypes);
final AFCalcTestBuilder refBuilder = new AFCalcTestBuilder(genotypes.size(), 1, AFCalcFactory.Calculation.EXACT_REFERENCE, AFCalcTestBuilder.PriorType.human);
final AFCalcTestBuilder refBuilder = new AFCalcTestBuilder(genotypes.size(), 1, AFCalculatorImplementation.EXACT_REFERENCE, AFCalcTestBuilder.PriorType.human);
final AFCalcTestBuilder testBuilder = new AFCalcTestBuilder(genotypes.size(), 1, modelType, AFCalcTestBuilder.PriorType.human);
final VariantContextBuilder vcb = new VariantContextBuilder("x", "1", 1, 1, Arrays.asList(A, C));
vcb.genotypes(genotypes);
final AFCalcResult refResult = refBuilder.makeModel().getLog10PNonRef(vcb.make(), testBuilder.makePriors());
final AFCalcResult testResult = testBuilder.makeModel().getLog10PNonRef(vcb.make(), testBuilder.makePriors());
final AFCalcResult refResult = refBuilder.makeModel().getLog10PNonRef(vcb.make(), PLOIDY, MAX_ALT_ALLELES, testBuilder.makePriors());
final AFCalcResult testResult = testBuilder.makeModel().getLog10PNonRef(vcb.make(), PLOIDY, MAX_ALT_ALLELES, testBuilder.makePriors());
final double tolerance = 1e-3;
Assert.assertEquals(testResult.getLog10PosteriorOfAFGT0(), refResult.getLog10PosteriorOfAFGT0(), tolerance,
@ -567,9 +589,9 @@ public class AFCalcUnitTest extends BaseTest {
public Object[][] makeModels() {
List<Object[]> tests = new ArrayList<Object[]>();
for ( final AFCalcFactory.Calculation calc : AFCalcFactory.Calculation.values() ) {
for ( final AFCalculatorImplementation calc : AFCalculatorImplementation.values() ) {
if ( calc.usableForParams(2, 4) )
tests.add(new Object[]{AFCalcFactory.createAFCalc(calc, 2, 4)});
tests.add(new Object[]{AFCalcFactory.createCalculatorForDiploidAnalysis()});
}
return tests.toArray(new Object[][]{});
@ -656,14 +678,14 @@ public class AFCalcUnitTest extends BaseTest {
List<Object[]> tests = new ArrayList<Object[]>();
// list of all high-quality models in the system
final List<AFCalcFactory.Calculation> models = Arrays.asList(
AFCalcFactory.Calculation.getDefaultModel(),
AFCalcFactory.Calculation.EXACT_REFERENCE,
AFCalcFactory.Calculation.EXACT_INDEPENDENT);
final List<AFCalculatorImplementation> models = Arrays.asList(
AFCalculatorImplementation.DEFAULT,
AFCalculatorImplementation.EXACT_REFERENCE,
AFCalculatorImplementation.EXACT_INDEPENDENT);
// note that we cannot use small PLs here or the thresholds are hard to set
for ( final int nonTypePLs : Arrays.asList(100, 1000) ) {
for ( final AFCalcFactory.Calculation model : models ) {
for ( final AFCalculatorImplementation model : models ) {
for ( final int allele1AC : Arrays.asList(0, 1, 2, 10, 100, 1000, 10000) ) {
for ( final int nSamples : Arrays.asList(1, 10, 100, 1000, 10000) ) {
// for ( final int nonTypePLs : Arrays.asList(10) ) {
@ -713,13 +735,13 @@ public class AFCalcUnitTest extends BaseTest {
List<Object[]> tests = new ArrayList<Object[]>();
// list of all high-quality models in the system
final List<AFCalcFactory.Calculation> models = Arrays.asList(AFCalcFactory.Calculation.EXACT_INDEPENDENT);
final List<AFCalculatorImplementation> models = Arrays.asList(AFCalculatorImplementation.EXACT_INDEPENDENT);
final List<Integer> alleleCounts = Arrays.asList(0, 1, 2, 3, 4, 5, 10, 20);
final int nonTypePLs = 1000;
final int nAlleles = 4;
for ( final AFCalcFactory.Calculation model : models ) {
for ( final AFCalculatorImplementation model : models ) {
for ( final List<Integer> ACs : Utils.makePermutations(alleleCounts, nAlleles, true) ) {
final List<Boolean> isPoly = new ArrayList<Boolean>(ACs.size());
for ( final int ac : ACs ) isPoly.add(ac > 0);
@ -746,7 +768,7 @@ public class AFCalcUnitTest extends BaseTest {
final AFCalc calc = testBuilder.makeModel();
final double[] priors = testBuilder.makePriors();
final VariantContext vc = testBuilder.makeACTest(ACs, 0, nonTypePL);
final AFCalcResult result = calc.getLog10PNonRef(vc, priors);
final AFCalcResult result = calc.getLog10PNonRef(vc, PLOIDY, testBuilder.numAltAlleles, priors);
boolean anyPoly = false;
for ( final boolean onePoly : expectedPoly ) anyPoly = anyPoly || onePoly;

View File

@ -0,0 +1,166 @@
/*
* By downloading the PROGRAM you agree to the following terms of use:
*
* BROAD INSTITUTE - SOFTWARE LICENSE AGREEMENT - FOR ACADEMIC NON-COMMERCIAL RESEARCH PURPOSES ONLY
*
* This Agreement is made between the Broad Institute, Inc. with a principal address at 7 Cambridge Center, Cambridge, MA 02142 (BROAD) and the LICENSEE and is effective at the date the downloading is completed (EFFECTIVE DATE).
*
* WHEREAS, LICENSEE desires to license the PROGRAM, as defined hereinafter, and BROAD wishes to have this PROGRAM utilized in the public interest, subject only to the royalty-free, nonexclusive, nontransferable license rights of the United States Government pursuant to 48 CFR 52.227-14; and
* WHEREAS, LICENSEE desires to license the PROGRAM and BROAD desires to grant a license on the following terms and conditions.
* NOW, THEREFORE, in consideration of the promises and covenants made herein, the parties hereto agree as follows:
*
* 1. DEFINITIONS
* 1.1 PROGRAM shall mean copyright in the object code and source code known as GATK2 and related documentation, if any, as they exist on the EFFECTIVE DATE and can be downloaded from http://www.broadinstitute/GATK on the EFFECTIVE DATE.
*
* 2. LICENSE
* 2.1 Grant. Subject to the terms of this Agreement, BROAD hereby grants to LICENSEE, solely for academic non-commercial research purposes, a non-exclusive, non-transferable license to: (a) download, execute and display the PROGRAM and (b) create bug fixes and modify the PROGRAM.
* The LICENSEE may apply the PROGRAM in a pipeline to data owned by users other than the LICENSEE and provide these users the results of the PROGRAM provided LICENSEE does so for academic non-commercial purposes only. For clarification purposes, academic sponsored research is not a commercial use under the terms of this Agreement.
* 2.2 No Sublicensing or Additional Rights. LICENSEE shall not sublicense or distribute the PROGRAM, in whole or in part, without prior written permission from BROAD. LICENSEE shall ensure that all of its users agree to the terms of this Agreement. LICENSEE further agrees that it shall not put the PROGRAM on a network, server, or other similar technology that may be accessed by anyone other than the LICENSEE and its employees and users who have agreed to the terms of this agreement.
* 2.3 License Limitations. Nothing in this Agreement shall be construed to confer any rights upon LICENSEE by implication, estoppel, or otherwise to any computer software, trademark, intellectual property, or patent rights of BROAD, or of any other entity, except as expressly granted herein. LICENSEE agrees that the PROGRAM, in whole or part, shall not be used for any commercial purpose, including without limitation, as the basis of a commercial software or hardware product or to provide services. LICENSEE further agrees that the PROGRAM shall not be copied or otherwise adapted in order to circumvent the need for obtaining a license for use of the PROGRAM.
*
* 3. OWNERSHIP OF INTELLECTUAL PROPERTY
* LICENSEE acknowledges that title to the PROGRAM shall remain with BROAD. The PROGRAM is marked with the following BROAD copyright notice and notice of attribution to contributors. LICENSEE shall retain such notice on all copies. LICENSEE agrees to include appropriate attribution if any results obtained from use of the PROGRAM are included in any publication.
* Copyright 2012 Broad Institute, Inc.
* Notice of attribution: The GATK2 program was made available through the generosity of Medical and Population Genetics program at the Broad Institute, Inc.
* LICENSEE shall not use any trademark or trade name of BROAD, or any variation, adaptation, or abbreviation, of such marks or trade names, or any names of officers, faculty, students, employees, or agents of BROAD except as states above for attribution purposes.
*
* 4. INDEMNIFICATION
* LICENSEE shall indemnify, defend, and hold harmless BROAD, and their respective officers, faculty, students, employees, associated investigators and agents, and their respective successors, heirs and assigns, (Indemnitees), against any liability, damage, loss, or expense (including reasonable attorneys fees and expenses) incurred by or imposed upon any of the Indemnitees in connection with any claims, suits, actions, demands or judgments arising out of any theory of liability (including, without limitation, actions in the form of tort, warranty, or strict liability and regardless of whether such action has any factual basis) pursuant to any right or license granted under this Agreement.
*
* 5. NO REPRESENTATIONS OR WARRANTIES
* THE PROGRAM IS DELIVERED AS IS. BROAD MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE PROGRAM OR THE COPYRIGHT, EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, NONINFRINGEMENT, OR THE ABSENCE OF LATENT OR OTHER DEFECTS, WHETHER OR NOT DISCOVERABLE. BROAD EXTENDS NO WARRANTIES OF ANY KIND AS TO PROGRAM CONFORMITY WITH WHATEVER USER MANUALS OR OTHER LITERATURE MAY BE ISSUED FROM TIME TO TIME.
* IN NO EVENT SHALL BROAD OR ITS RESPECTIVE DIRECTORS, OFFICERS, EMPLOYEES, AFFILIATED INVESTIGATORS AND AFFILIATES BE LIABLE FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES OF ANY KIND, INCLUDING, WITHOUT LIMITATION, ECONOMIC DAMAGES OR INJURY TO PROPERTY AND LOST PROFITS, REGARDLESS OF WHETHER BROAD SHALL BE ADVISED, SHALL HAVE OTHER REASON TO KNOW, OR IN FACT SHALL KNOW OF THE POSSIBILITY OF THE FOREGOING.
*
* 6. ASSIGNMENT
* This Agreement is personal to LICENSEE and any rights or obligations assigned by LICENSEE without the prior written consent of BROAD shall be null and void.
*
* 7. MISCELLANEOUS
* 7.1 Export Control. LICENSEE gives assurance that it will comply with all United States export control laws and regulations controlling the export of the PROGRAM, including, without limitation, all Export Administration Regulations of the United States Department of Commerce. Among other things, these laws and regulations prohibit, or require a license for, the export of certain types of software to specified countries.
* 7.2 Termination. LICENSEE shall have the right to terminate this Agreement for any reason upon prior written notice to BROAD. If LICENSEE breaches any provision hereunder, and fails to cure such breach within thirty (30) days, BROAD may terminate this Agreement immediately. Upon termination, LICENSEE shall provide BROAD with written assurance that the original and all copies of the PROGRAM have been destroyed, except that, upon prior written authorization from BROAD, LICENSEE may retain a copy for archive purposes.
* 7.3 Survival. The following provisions shall survive the expiration or termination of this Agreement: Articles 1, 3, 4, 5 and Sections 2.2, 2.3, 7.3, and 7.4.
* 7.4 Notice. Any notices under this Agreement shall be in writing, shall specifically refer to this Agreement, and shall be sent by hand, recognized national overnight courier, confirmed facsimile transmission, confirmed electronic mail, or registered or certified mail, postage prepaid, return receipt requested. All notices under this Agreement shall be deemed effective upon receipt.
* 7.5 Amendment and Waiver; Entire Agreement. This Agreement may be amended, supplemented, or otherwise modified only by means of a written instrument signed by all parties. Any waiver of any rights or failure to act in a specific instance shall relate only to such instance and shall not be construed as an agreement to waive any rights or fail to act in any other instance, whether or not similar. This Agreement constitutes the entire agreement among the parties with respect to its subject matter and supersedes prior agreements or understandings between the parties relating to its subject matter.
* 7.6 Binding Effect; Headings. This Agreement shall be binding upon and inure to the benefit of the parties and their respective permitted successors and assigns. All headings are for convenience only and shall not affect the meaning of any provision of this Agreement.
* 7.7 Governing Law. This Agreement shall be construed, governed, interpreted and applied in accordance with the internal laws of the Commonwealth of Massachusetts, U.S.A., without regard to conflict of laws principles.
*/
package org.broadinstitute.gatk.tools.walkers.genotyper.afcalc;
import org.broadinstitute.gatk.engine.GenomeAnalysisEngine;
import org.broadinstitute.gatk.engine.arguments.GATKArgumentCollection;
import org.broadinstitute.gatk.engine.arguments.GenotypeCalculationArgumentCollection;
import org.broadinstitute.gatk.engine.arguments.StandardCallerArgumentCollection;
import org.testng.Assert;
import org.testng.annotations.DataProvider;
import org.testng.annotations.Test;
import java.util.*;
/**
* Tests {@link org.broadinstitute.gatk.tools.walkers.genotyper.afcalc.FixedAFCalculatorProvider}
*
* @author Valentin Ruano-Rubio &lt;valentin@broadinstitute.org&gt;
*/
public class FixedAFCalculatorProviderUnitTest {
@Test(dataProvider="nonThreadSafeConstructorsData")
public void testNonThreadSafeConstructors(final int ploidy, final int maxAltAlleles, final AFCalculatorImplementation preferred) {
final GenotypeCalculationArgumentCollection args = new GenotypeCalculationArgumentCollection();
args.MAX_ALTERNATE_ALLELES = maxAltAlleles;
args.samplePloidy = ploidy;
final StandardCallerArgumentCollection callerArgs = new StandardCallerArgumentCollection();
if (preferred != null ) callerArgs.requestedAlleleFrequencyCalculationModel = preferred;
callerArgs.genotypeArgs = args;
final FixedAFCalculatorProvider providerCallerArgs = new FixedAFCalculatorProvider(callerArgs,null,true);
final FixedAFCalculatorProvider providerGenotypingArgs = new FixedAFCalculatorProvider(args,null,true);
Assert.assertNotNull(providerCallerArgs.getInstance(ploidy,maxAltAlleles));
Assert.assertTrue(AFCalculatorImplementation.fromCalculatorClass(providerCallerArgs.getInstance(ploidy,maxAltAlleles).getClass()).usableForParams(ploidy,maxAltAlleles));
Assert.assertNotNull(providerGenotypingArgs.getInstance(ploidy,maxAltAlleles));
Assert.assertTrue(AFCalculatorImplementation.fromCalculatorClass(providerGenotypingArgs.getInstance(ploidy,maxAltAlleles).getClass()).usableForParams(ploidy,maxAltAlleles));
if (preferred != null && preferred.usableForParams(ploidy,maxAltAlleles)) {
Assert.assertEquals(AFCalculatorImplementation.fromCalculatorClass(providerCallerArgs.getInstance(ploidy, maxAltAlleles).getClass()), preferred);
}
}
@Test(dataProvider="threadSafeFactoryData")
public void testThreadSafeConstructors(final int ploidy, final int maxAltAlleles, final AFCalculatorImplementation impl, final int cpuThreadCount, final int dataThreadCount) {
final GenomeAnalysisEngine toolkit = new GenomeAnalysisEngine();
final GATKArgumentCollection gatkArguments = new GATKArgumentCollection();
gatkArguments.numberOfCPUThreadsPerDataThread =cpuThreadCount;
gatkArguments.numberOfDataThreads = dataThreadCount;
toolkit.setArguments(gatkArguments);
final StandardCallerArgumentCollection callerArgs = new StandardCallerArgumentCollection();
if (impl != null) callerArgs.requestedAlleleFrequencyCalculationModel = impl;
final GenotypeCalculationArgumentCollection genotypeArgs = new GenotypeCalculationArgumentCollection();
callerArgs.genotypeArgs = genotypeArgs;
genotypeArgs.samplePloidy = ploidy;
genotypeArgs.MAX_ALTERNATE_ALLELES = maxAltAlleles;
final AFCalculatorProvider provider = FixedAFCalculatorProvider.createThreadSafeProvider(toolkit,callerArgs,null);
final Hashtable<Thread,AFCalc> perThreadProvider = new Hashtable(cpuThreadCount * dataThreadCount);
final List<Thread> threads = new ArrayList<>();
// execute different threads.
for (int i = 0; i < cpuThreadCount; i++)
for (int j = 0; j < cpuThreadCount; j++) {
final Thread thread = new Thread(new Runnable() {
@Override
public void run() {
synchronized (perThreadProvider) {
perThreadProvider.put(Thread.currentThread(), provider.getInstance(ploidy, maxAltAlleles));
}
}
});
thread.start();
threads.add(thread);
}
// wait all threads to have finished.
for (final Thread thread : threads)
try {
thread.join();
} catch (InterruptedException e) {
Assert.fail();
}
// check that each thread gave a different calculator.
final Set<AFCalc> calculators = new HashSet<>(perThreadProvider.values());
Assert.assertEquals(calculators.size(),threads.size());
}
private final static int[] PLOIDIES = new int[] { 1,2,3,4,10 };
private final static int[] MAX_ALT_ALLELES = new int[] { 1,2,3,4,10};
private final static int[] CPU_THREAD_COUNT = new int[] { 1, 2, 3, 4, 10};
private final static int[] DATA_THREAD_COUNT = new int[] { 1, 2, 3, 4, 10};
@DataProvider(name="nonThreadSafeConstructorsData")
public Object[][] nonThreadSafeConstructorsData() {
final Object[][] result = new Object[PLOIDIES.length * MAX_ALT_ALLELES.length * (AFCalculatorImplementation.values().length + 1)][];
int idx = 0;
for (int i = 0; i < PLOIDIES.length; i++) {
for (int j = 0; j < MAX_ALT_ALLELES.length; j++) {
result[idx++] = new Object[] { PLOIDIES[i], MAX_ALT_ALLELES[j], null };
for (final AFCalculatorImplementation impl : AFCalculatorImplementation.values()) {
result[idx++] = new Object[]{PLOIDIES[i], MAX_ALT_ALLELES[j], impl};
}
}
}
return result;
}
@DataProvider(name="threadSafeFactoryData")
public Object[][] threadSafeFactoryData() {
final Object[][] result = new Object[DATA_THREAD_COUNT.length * CPU_THREAD_COUNT.length * PLOIDIES.length * MAX_ALT_ALLELES.length * (AFCalculatorImplementation.values().length + 1)][];
int idx = 0;
for (int i = 0; i < PLOIDIES.length; i++) {
for (int j = 0; j < MAX_ALT_ALLELES.length; j++) {
for (int k = 0; k < CPU_THREAD_COUNT.length; k++) {
for (int l = 0; l < DATA_THREAD_COUNT.length; l++) {
result[idx++] = new Object[]{PLOIDIES[i], MAX_ALT_ALLELES[j], null, CPU_THREAD_COUNT[k], DATA_THREAD_COUNT[l]};
for (final AFCalculatorImplementation impl : AFCalculatorImplementation.values()) {
result[idx++] = new Object[]{PLOIDIES[i], MAX_ALT_ALLELES[j], impl, CPU_THREAD_COUNT[k], DATA_THREAD_COUNT[l]};
}
}
}
}
}
return result;
}
}

View File

@ -186,12 +186,13 @@ public class GeneralPloidyAFCalculationModelUnitTest extends BaseTest {
final int len = GeneralPloidyGenotypeLikelihoods.getNumLikelihoodElements(1 + cfg.numAltAlleles, cfg.ploidy * cfg.GLs.size());
double[] priors = new double[len]; // flat priors
final GeneralPloidyExactAFCalc calc = new GeneralPloidyExactAFCalc(cfg.GLs.size(), 1 + cfg.numAltAlleles, cfg.ploidy);
calc.combineSinglePools(cfg.GLs, 1 + cfg.numAltAlleles, cfg.ploidy, priors);
final GeneralPloidyExactAFCalc calc = new GeneralPloidyExactAFCalc();
calc.combineSinglePools(cfg.GLs, cfg.ploidy,cfg.numAltAlleles + 1, priors);
int nameIndex = 1;
for ( int allele = 0; allele < cfg.numAltAlleles; allele++, nameIndex+=2 ) {
int expectedAlleleCount = Integer.valueOf(cfg.name.substring(nameIndex, nameIndex+1));
int calculatedAlleleCount = calc.getStateTracker().getAlleleCountsOfMAP()[allele];
int expectedAlleleCount = Integer.valueOf(cfg.name.substring(nameIndex, nameIndex + 1));
int calculatedAlleleCount = calc.getAltAlleleCountOfMAP(allele);
Assert.assertEquals(calculatedAlleleCount, expectedAlleleCount);
}
}

View File

@ -0,0 +1,162 @@
/*
* By downloading the PROGRAM you agree to the following terms of use:
*
* BROAD INSTITUTE - SOFTWARE LICENSE AGREEMENT - FOR ACADEMIC NON-COMMERCIAL RESEARCH PURPOSES ONLY
*
* This Agreement is made between the Broad Institute, Inc. with a principal address at 7 Cambridge Center, Cambridge, MA 02142 (BROAD) and the LICENSEE and is effective at the date the downloading is completed (EFFECTIVE DATE).
*
* WHEREAS, LICENSEE desires to license the PROGRAM, as defined hereinafter, and BROAD wishes to have this PROGRAM utilized in the public interest, subject only to the royalty-free, nonexclusive, nontransferable license rights of the United States Government pursuant to 48 CFR 52.227-14; and
* WHEREAS, LICENSEE desires to license the PROGRAM and BROAD desires to grant a license on the following terms and conditions.
* NOW, THEREFORE, in consideration of the promises and covenants made herein, the parties hereto agree as follows:
*
* 1. DEFINITIONS
* 1.1 PROGRAM shall mean copyright in the object code and source code known as GATK2 and related documentation, if any, as they exist on the EFFECTIVE DATE and can be downloaded from http://www.broadinstitute/GATK on the EFFECTIVE DATE.
*
* 2. LICENSE
* 2.1 Grant. Subject to the terms of this Agreement, BROAD hereby grants to LICENSEE, solely for academic non-commercial research purposes, a non-exclusive, non-transferable license to: (a) download, execute and display the PROGRAM and (b) create bug fixes and modify the PROGRAM.
* The LICENSEE may apply the PROGRAM in a pipeline to data owned by users other than the LICENSEE and provide these users the results of the PROGRAM provided LICENSEE does so for academic non-commercial purposes only. For clarification purposes, academic sponsored research is not a commercial use under the terms of this Agreement.
* 2.2 No Sublicensing or Additional Rights. LICENSEE shall not sublicense or distribute the PROGRAM, in whole or in part, without prior written permission from BROAD. LICENSEE shall ensure that all of its users agree to the terms of this Agreement. LICENSEE further agrees that it shall not put the PROGRAM on a network, server, or other similar technology that may be accessed by anyone other than the LICENSEE and its employees and users who have agreed to the terms of this agreement.
* 2.3 License Limitations. Nothing in this Agreement shall be construed to confer any rights upon LICENSEE by implication, estoppel, or otherwise to any computer software, trademark, intellectual property, or patent rights of BROAD, or of any other entity, except as expressly granted herein. LICENSEE agrees that the PROGRAM, in whole or part, shall not be used for any commercial purpose, including without limitation, as the basis of a commercial software or hardware product or to provide services. LICENSEE further agrees that the PROGRAM shall not be copied or otherwise adapted in order to circumvent the need for obtaining a license for use of the PROGRAM.
*
* 3. OWNERSHIP OF INTELLECTUAL PROPERTY
* LICENSEE acknowledges that title to the PROGRAM shall remain with BROAD. The PROGRAM is marked with the following BROAD copyright notice and notice of attribution to contributors. LICENSEE shall retain such notice on all copies. LICENSEE agrees to include appropriate attribution if any results obtained from use of the PROGRAM are included in any publication.
* Copyright 2012 Broad Institute, Inc.
* Notice of attribution: The GATK2 program was made available through the generosity of Medical and Population Genetics program at the Broad Institute, Inc.
* LICENSEE shall not use any trademark or trade name of BROAD, or any variation, adaptation, or abbreviation, of such marks or trade names, or any names of officers, faculty, students, employees, or agents of BROAD except as states above for attribution purposes.
*
* 4. INDEMNIFICATION
* LICENSEE shall indemnify, defend, and hold harmless BROAD, and their respective officers, faculty, students, employees, associated investigators and agents, and their respective successors, heirs and assigns, (Indemnitees), against any liability, damage, loss, or expense (including reasonable attorneys fees and expenses) incurred by or imposed upon any of the Indemnitees in connection with any claims, suits, actions, demands or judgments arising out of any theory of liability (including, without limitation, actions in the form of tort, warranty, or strict liability and regardless of whether such action has any factual basis) pursuant to any right or license granted under this Agreement.
*
* 5. NO REPRESENTATIONS OR WARRANTIES
* THE PROGRAM IS DELIVERED AS IS. BROAD MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND CONCERNING THE PROGRAM OR THE COPYRIGHT, EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, NONINFRINGEMENT, OR THE ABSENCE OF LATENT OR OTHER DEFECTS, WHETHER OR NOT DISCOVERABLE. BROAD EXTENDS NO WARRANTIES OF ANY KIND AS TO PROGRAM CONFORMITY WITH WHATEVER USER MANUALS OR OTHER LITERATURE MAY BE ISSUED FROM TIME TO TIME.
* IN NO EVENT SHALL BROAD OR ITS RESPECTIVE DIRECTORS, OFFICERS, EMPLOYEES, AFFILIATED INVESTIGATORS AND AFFILIATES BE LIABLE FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES OF ANY KIND, INCLUDING, WITHOUT LIMITATION, ECONOMIC DAMAGES OR INJURY TO PROPERTY AND LOST PROFITS, REGARDLESS OF WHETHER BROAD SHALL BE ADVISED, SHALL HAVE OTHER REASON TO KNOW, OR IN FACT SHALL KNOW OF THE POSSIBILITY OF THE FOREGOING.
*
* 6. ASSIGNMENT
* This Agreement is personal to LICENSEE and any rights or obligations assigned by LICENSEE without the prior written consent of BROAD shall be null and void.
*
* 7. MISCELLANEOUS
* 7.1 Export Control. LICENSEE gives assurance that it will comply with all United States export control laws and regulations controlling the export of the PROGRAM, including, without limitation, all Export Administration Regulations of the United States Department of Commerce. Among other things, these laws and regulations prohibit, or require a license for, the export of certain types of software to specified countries.
* 7.2 Termination. LICENSEE shall have the right to terminate this Agreement for any reason upon prior written notice to BROAD. If LICENSEE breaches any provision hereunder, and fails to cure such breach within thirty (30) days, BROAD may terminate this Agreement immediately. Upon termination, LICENSEE shall provide BROAD with written assurance that the original and all copies of the PROGRAM have been destroyed, except that, upon prior written authorization from BROAD, LICENSEE may retain a copy for archive purposes.
* 7.3 Survival. The following provisions shall survive the expiration or termination of this Agreement: Articles 1, 3, 4, 5 and Sections 2.2, 2.3, 7.3, and 7.4.
* 7.4 Notice. Any notices under this Agreement shall be in writing, shall specifically refer to this Agreement, and shall be sent by hand, recognized national overnight courier, confirmed facsimile transmission, confirmed electronic mail, or registered or certified mail, postage prepaid, return receipt requested. All notices under this Agreement shall be deemed effective upon receipt.
* 7.5 Amendment and Waiver; Entire Agreement. This Agreement may be amended, supplemented, or otherwise modified only by means of a written instrument signed by all parties. Any waiver of any rights or failure to act in a specific instance shall relate only to such instance and shall not be construed as an agreement to waive any rights or fail to act in any other instance, whether or not similar. This Agreement constitutes the entire agreement among the parties with respect to its subject matter and supersedes prior agreements or understandings between the parties relating to its subject matter.
* 7.6 Binding Effect; Headings. This Agreement shall be binding upon and inure to the benefit of the parties and their respective permitted successors and assigns. All headings are for convenience only and shall not affect the meaning of any provision of this Agreement.
* 7.7 Governing Law. This Agreement shall be construed, governed, interpreted and applied in accordance with the internal laws of the Commonwealth of Massachusetts, U.S.A., without regard to conflict of laws principles.
*/
package org.broadinstitute.gatk.tools.walkers.genotyper.afcalc;
import org.broadinstitute.gatk.engine.GenomeAnalysisEngine;
import org.broadinstitute.gatk.engine.arguments.GATKArgumentCollection;
import org.broadinstitute.gatk.engine.arguments.GenotypeCalculationArgumentCollection;
import org.testng.Assert;
import org.testng.annotations.DataProvider;
import org.testng.annotations.Test;
import java.util.*;
/**
* Tests {@link GeneralPloidyFailOverAFCalculatorProvider}
*
* @author Valentin Ruano-Rubio &lt;valentin@broadinstitute.org&gt;
*/
public class GeneralPloidyFailOverAFCalculatorProviderUnitTest {
@Test(dataProvider="nonThreadSafeConstructorsData")
public void testNonThreadSafeConstructors(final int ploidy, final int maxAltAlleles) {
final GenotypeCalculationArgumentCollection args = new GenotypeCalculationArgumentCollection();
args.MAX_ALTERNATE_ALLELES = maxAltAlleles;
args.samplePloidy = ploidy;
final GeneralPloidyFailOverAFCalculatorProvider provider = new GeneralPloidyFailOverAFCalculatorProvider(args,null);
final AFCalc calculator = provider.getInstance(ploidy,maxAltAlleles);
Assert.assertNotNull(calculator);
final AFCalculatorImplementation implementation = AFCalculatorImplementation.fromCalculatorClass(calculator.getClass());
Assert.assertTrue(implementation.usableForParams(ploidy,maxAltAlleles));
for (int i = 0; i < PLOIDIES.length; i++) {
for (int j = 0; j < MAX_ALT_ALLELES.length; j++) {
if (implementation.usableForParams(PLOIDIES[i],MAX_ALT_ALLELES[j]))
Assert.assertSame(provider.getInstance(PLOIDIES[i],MAX_ALT_ALLELES[j]),calculator);
else {
final AFCalc failOver = provider.getInstance(PLOIDIES[i],MAX_ALT_ALLELES[j]);
Assert.assertNotNull(failOver);
final AFCalculatorImplementation failOverImplementation = AFCalculatorImplementation.fromCalculatorClass(failOver.getClass());
Assert.assertTrue(failOverImplementation.usableForParams(PLOIDIES[i],MAX_ALT_ALLELES[j]));
Assert.assertEquals(failOverImplementation, AFCalculatorImplementation.EXACT_GENERAL_PLOIDY);
}
}
}
}
@Test(dataProvider="threadSafeFactoryData")
public void testThreadSafeConstructors(final int ploidy, final int maxAltAlleles, final int cpuThreadCount, final int dataThreadCount) {
final GenomeAnalysisEngine toolkit = new GenomeAnalysisEngine();
final GATKArgumentCollection gatkArguments = new GATKArgumentCollection();
gatkArguments.numberOfCPUThreadsPerDataThread =cpuThreadCount;
gatkArguments.numberOfDataThreads = dataThreadCount;
toolkit.setArguments(gatkArguments);
final GenotypeCalculationArgumentCollection genotypeArgs = new GenotypeCalculationArgumentCollection();
genotypeArgs.samplePloidy = ploidy;
genotypeArgs.MAX_ALTERNATE_ALLELES = maxAltAlleles;
final AFCalculatorProvider provider = GeneralPloidyFailOverAFCalculatorProvider.createThreadSafeProvider(toolkit,genotypeArgs,null);
final Hashtable<Thread,AFCalc> perThreadProvider = new Hashtable(cpuThreadCount * dataThreadCount);
final List<Thread> threads = new ArrayList<>();
// execute different threads.
for (int i = 0; i < cpuThreadCount; i++)
for (int j = 0; j < cpuThreadCount; j++) {
final Thread thread = new Thread(new Runnable() {
@Override
public void run() {
synchronized (perThreadProvider) {
perThreadProvider.put(Thread.currentThread(), provider.getInstance(ploidy, maxAltAlleles));
}
}
});
thread.start();
threads.add(thread);
}
// wait all threads to have finished.
for (final Thread thread : threads)
try {
thread.join();
} catch (InterruptedException e) {
Assert.fail();
}
// check that each thread gave a different calculator.
final Set<AFCalc> calculators = new HashSet<>(perThreadProvider.values());
Assert.assertEquals(calculators.size(),threads.size());
}
private final static int[] PLOIDIES = new int[] { AFCalculatorImplementation.UNBOUND_PLOIDY,1,2,3,4,10 };
private final static int[] MAX_ALT_ALLELES = new int[] { AFCalculatorImplementation.UNBOUND_ALTERNATIVE_ALLELE_COUNT,1,2,3,4,10};
private final static int[] CPU_THREAD_COUNT = new int[] { 1, 2, 3, 4, 10};
private final static int[] DATA_THREAD_COUNT = new int[] { 1, 2, 3, 4, 10};
@DataProvider(name="nonThreadSafeConstructorsData")
public Object[][] nonThreadSafeConstructorsData() {
final Object[][] result = new Object[PLOIDIES.length * MAX_ALT_ALLELES.length][];
int idx = 0;
for (int i = 0; i < PLOIDIES.length; i++) {
for (int j = 0; j < MAX_ALT_ALLELES.length; j++) {
result[idx++] = new Object[] { PLOIDIES[i], MAX_ALT_ALLELES[j]};
}
}
return result;
}
@DataProvider(name="threadSafeFactoryData")
public Object[][] threadSafeFactoryData() {
final Object[][] result = new Object[DATA_THREAD_COUNT.length * CPU_THREAD_COUNT.length * PLOIDIES.length * MAX_ALT_ALLELES.length][];
int idx = 0;
for (int i = 0; i < PLOIDIES.length; i++) {
for (int j = 0; j < MAX_ALT_ALLELES.length; j++) {
for (int k = 0; k < CPU_THREAD_COUNT.length; k++) {
for (int l = 0; l < DATA_THREAD_COUNT.length; l++) {
result[idx++] = new Object[]{PLOIDIES[i], MAX_ALT_ALLELES[j], CPU_THREAD_COUNT[k], DATA_THREAD_COUNT[l]};
}
}
}
}
return result;
}
}

View File

@ -107,7 +107,7 @@ public class IndependentAllelesDiploidExactAFCalcUnitTest extends BaseTest {
@Test(enabled = true, dataProvider = "TestCombineGLs")
public void testCombineGLsPrecise(final int altIndex, final int nAlts, final Genotype testg, final Genotype expected) {
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc)AFCalcFactory.createAFCalc(AFCalcFactory.Calculation.EXACT_INDEPENDENT, 1, 4);
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc) AFCalculatorImplementation.EXACT_INDEPENDENT.newInstance();
final Genotype combined = calc.combineGLsPrecise(testg, altIndex, nAlts);
Assert.assertEquals(combined.getPL(), expected.getPL(),
@ -116,7 +116,7 @@ public class IndependentAllelesDiploidExactAFCalcUnitTest extends BaseTest {
@Test(enabled = true, dataProvider = "TestCombineGLs")
public void testCombinePrecise(final int altIndex, final int nAlts, final Genotype testg, final Genotype expected) {
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc)AFCalcFactory.createAFCalc(AFCalcFactory.Calculation.EXACT_INDEPENDENT, 1, 4);
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc) AFCalculatorImplementation.EXACT_INDEPENDENT.newInstance();
final Genotype combined = calc.combineGLsPrecise(testg, altIndex, nAlts);
Assert.assertEquals(combined.getPL(), expected.getPL(),
@ -156,7 +156,7 @@ public class IndependentAllelesDiploidExactAFCalcUnitTest extends BaseTest {
@Test(enabled = true, dataProvider = "TestMakeAlleleConditionalContexts")
private void testMakeAlleleConditionalContexts(final VariantContext vc, final List<VariantContext> expectedVCs) {
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc)AFCalcFactory.createAFCalc(AFCalcFactory.Calculation.EXACT_INDEPENDENT, 1, 4);
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc) AFCalculatorImplementation.EXACT_INDEPENDENT.newInstance();
final List<VariantContext> biAllelicVCs = calc.makeAlleleConditionalContexts(vc);
Assert.assertEquals(biAllelicVCs.size(), expectedVCs.size());
@ -207,7 +207,7 @@ public class IndependentAllelesDiploidExactAFCalcUnitTest extends BaseTest {
pNonRefN.add(log10pNonRef*(i+1));
}
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc)AFCalcFactory.createAFCalc(AFCalcFactory.Calculation.EXACT_INDEPENDENT, 1, 2);
final IndependentAllelesDiploidExactAFCalc calc = (IndependentAllelesDiploidExactAFCalc) AFCalculatorImplementation.EXACT_INDEPENDENT.newInstance();
final List<AFCalcResult> thetaNPriors = calc.applyMultiAllelicPriors(originalPriors);
double prevPosterior = 0.0;

View File

@ -0,0 +1,143 @@
/*
* By downloading the PROGRAM you agree to the following terms of use:
*
* BROAD INSTITUTE - SOFTWARE LICENSE AGREEMENT - FOR ACADEMIC NON-COMMERCIAL RESEARCH PURPOSES ONLY
*
* This Agreement is made between the Broad Institute, Inc. with a principal address at 7 Cambridge Center, Cambridge, MA 02142 (BROAD) and the LICENSEE and is effective at the date the downloading is completed (EFFECTIVE DATE).
*
* WHEREAS, LICENSEE desires to license the PROGRAM, as defined hereinafter, and BROAD wishes to have this PROGRAM utilized in the public interest, subject only to the royalty-free, nonexclusive, nontransferable license rights of the United States Government pursuant to 48 CFR 52.227-14; and
* WHEREAS, LICENSEE desires to license the PROGRAM and BROAD desires to grant a license on the following terms and conditions.
* NOW, THEREFORE, in consideration of the promises and covenants made herein, the parties hereto agree as follows:
*
* 1. DEFINITIONS
* 1.1 PROGRAM shall mean copyright in the object code and source code known as GATK2 and related documentation, if any, as they exist on the EFFECTIVE DATE and can be downloaded from http://www.broadinstitute/GATK on the EFFECTIVE DATE.
*
* 2. LICENSE
* 2.1 Grant. Subject to the terms of this Agreement, BROAD hereby grants to LICENSEE, solely for academic non-commercial research purposes, a non-exclusive, non-transferable license to: (a) download, execute and display the PROGRAM and (b) create bug fixes and modify the PROGRAM.
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* 2.2 No Sublicensing or Additional Rights. LICENSEE shall not sublicense or distribute the PROGRAM, in whole or in part, without prior written permission from BROAD. LICENSEE shall ensure that all of its users agree to the terms of this Agreement. LICENSEE further agrees that it shall not put the PROGRAM on a network, server, or other similar technology that may be accessed by anyone other than the LICENSEE and its employees and users who have agreed to the terms of this agreement.
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*
* 3. OWNERSHIP OF INTELLECTUAL PROPERTY
* LICENSEE acknowledges that title to the PROGRAM shall remain with BROAD. The PROGRAM is marked with the following BROAD copyright notice and notice of attribution to contributors. LICENSEE shall retain such notice on all copies. LICENSEE agrees to include appropriate attribution if any results obtained from use of the PROGRAM are included in any publication.
* Copyright 2012 Broad Institute, Inc.
* Notice of attribution: The GATK2 program was made available through the generosity of Medical and Population Genetics program at the Broad Institute, Inc.
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package org.broadinstitute.gatk.tools.walkers.haplotypecaller;
import org.broadinstitute.gatk.engine.GenomeAnalysisEngine;
import org.broadinstitute.gatk.tools.walkers.genotyper.AFPriorProvider;
import org.broadinstitute.gatk.tools.walkers.genotyper.CustomAFPriorProvider;
import org.broadinstitute.gatk.tools.walkers.genotyper.HeterozygosityAFPriorProvider;
import org.broadinstitute.gatk.utils.BaseTest;
import org.broadinstitute.gatk.utils.MathUtils;
import org.testng.Assert;
import org.testng.annotations.DataProvider;
import org.testng.annotations.Test;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
/**
* TODO document this.
*
* @author Valentin Ruano-Rubio &lt;valentin@broadinstitute.org&gt;
*/
public class AFPriorProviderUnitTest extends BaseTest {
private static final double TOLERANCE = 0.0001;
@Test(dataProvider="HeterozygosityProviderData")
public void testHeterozygosityProvider(final double h, final int useCount, final int minPloidy, final int maxPloidy) {
final double het = h / maxPloidy;
final Random rdn = GenomeAnalysisEngine.getRandomGenerator();
final int[] plodies = new int[useCount];
for (int i = 0; i < useCount; i++)
plodies[i] = rdn.nextInt(maxPloidy - minPloidy + 1) + minPloidy;
final AFPriorProvider provider = new HeterozygosityAFPriorProvider(het);
for (int i = 0; i < useCount; i++) {
final int ploidy = plodies[i];
double[] priors = provider.forTotalPloidy(ploidy);
Assert.assertNotNull(priors);
Assert.assertEquals(priors.length, ploidy + 1);
Assert.assertEquals(MathUtils.approximateLog10SumLog10(priors),0,TOLERANCE);
for (int j = 0; j < priors.length; j++) {
Assert.assertTrue(!Double.isNaN(priors[j]));
Assert.assertTrue(priors[j] < 0);
if (j > 0) Assert.assertEquals(priors[j], Math.log10(het) - Math.log10(j));
}
}
}
@Test(dataProvider="CustomProviderData")
public void testCustomProvider(final int ploidy) {
final double[] priors = new double[ploidy];
final Random rdn = GenomeAnalysisEngine.getRandomGenerator();
double remaining = 1;
final List<Double> priorsList = new ArrayList<Double>();
for (int i = 0; i < priors.length; i++) {
priors[i] = remaining * rdn.nextDouble() * (.1 / ploidy );
remaining -= priors[i];
priorsList.add(priors[i]);
}
final AFPriorProvider provider = new CustomAFPriorProvider(priorsList);
final double[] providedPriors = provider.forTotalPloidy(ploidy);
Assert.assertNotNull(providedPriors);
Assert.assertEquals(providedPriors.length, priors.length + 1);
for (int i = 0; i < priors.length; i++)
Assert.assertEquals(providedPriors[i+1],Math.log10(priors[i]),TOLERANCE);
Assert.assertEquals(MathUtils.approximateLog10SumLog10(providedPriors),0,TOLERANCE);
}
private double[] hets = new double[] { 0.00001, 0.001, 0.1, 0.5, 0.99, 0.999 };
private int[] useCounts = new int[] { 10, 100, 1000 };
private int[] ploidy = new int[] { 1 , 2, 3, 10, 100, 200, 500};
@DataProvider(name="CustomProviderData")
public Object[][] customProviderData() {
final Object[][] result = new Object[ploidy.length][];
for (int i = 0; i < result.length; i++)
result[i] = new Object[] { ploidy[i] };
return result;
}
@DataProvider(name="HeterozygosityProviderData")
public Object[][] heterozygosityProviderData() {
final Object[][] result = new Object[hets.length * useCounts.length * ((ploidy.length + 1) * (ploidy.length) / 2)][];
int idx = 0;
for (double h : hets)
for (int sc : useCounts)
for (int i = 0; i < ploidy.length; i++)
for (int j = i; j < ploidy.length; j++)
result[idx++] = new Object[] { h, sc, ploidy[i], ploidy[j]};
return result;
}
}

View File

@ -91,107 +91,6 @@ public class HaplotypeCallerGenotypingEngineUnitTest extends BaseTest {
genomeLocParser = new GenomeLocParser(seq);
}
@Test
public void testFindHomVarEventAllelesInSample() {
final List<Allele> eventAlleles = new ArrayList<Allele>();
eventAlleles.add( Allele.create("A", true) );
eventAlleles.add( Allele.create("C", false) );
final List<Allele> haplotypeAlleles = new ArrayList<Allele>();
haplotypeAlleles.add( Allele.create("AATA", true) );
haplotypeAlleles.add( Allele.create("AACA", false) );
haplotypeAlleles.add( Allele.create("CATA", false) );
haplotypeAlleles.add( Allele.create("CACA", false) );
final List<Haplotype> haplotypes = new ArrayList<Haplotype>();
haplotypes.add(new Haplotype("AATA".getBytes()));
haplotypes.add(new Haplotype("AACA".getBytes()));
haplotypes.add(new Haplotype("CATA".getBytes()));
haplotypes.add(new Haplotype("CACA".getBytes()));
final List<Allele> haplotypeAllelesForSample = new ArrayList<Allele>();
haplotypeAllelesForSample.add( Allele.create("CATA", false) );
haplotypeAllelesForSample.add( Allele.create("CACA", false) );
final List<List<Haplotype>> alleleMapper = new ArrayList<List<Haplotype>>();
List<Haplotype> Aallele = new ArrayList<Haplotype>();
Aallele.add(haplotypes.get(0));
Aallele.add(haplotypes.get(1));
List<Haplotype> Callele = new ArrayList<Haplotype>();
Callele.add(haplotypes.get(2));
Callele.add(haplotypes.get(3));
alleleMapper.add(Aallele);
alleleMapper.add(Callele);
final List<Allele> eventAllelesForSample = new ArrayList<Allele>();
eventAllelesForSample.add( Allele.create("C", false) );
eventAllelesForSample.add( Allele.create("C", false) );
if(!compareAlleleLists(eventAllelesForSample, HaplotypeCallerGenotypingEngine.findEventAllelesInSample(eventAlleles, haplotypeAlleles, haplotypeAllelesForSample, alleleMapper, haplotypes))) {
logger.warn("calc alleles = " + HaplotypeCallerGenotypingEngine.findEventAllelesInSample(eventAlleles, haplotypeAlleles, haplotypeAllelesForSample, alleleMapper, haplotypes));
logger.warn("expected alleles = " + eventAllelesForSample);
}
Assert.assertTrue(compareAlleleLists(eventAllelesForSample, HaplotypeCallerGenotypingEngine.findEventAllelesInSample(eventAlleles, haplotypeAlleles, haplotypeAllelesForSample, alleleMapper, haplotypes)));
}
@Test
public void testFindHetEventAllelesInSample() {
final List<Allele> eventAlleles = new ArrayList<Allele>();
eventAlleles.add( Allele.create("A", true) );
eventAlleles.add( Allele.create("C", false) );
eventAlleles.add( Allele.create("T", false) );
final List<Allele> haplotypeAlleles = new ArrayList<Allele>();
haplotypeAlleles.add( Allele.create("AATA", true) );
haplotypeAlleles.add( Allele.create("AACA", false) );
haplotypeAlleles.add( Allele.create("CATA", false) );
haplotypeAlleles.add( Allele.create("CACA", false) );
haplotypeAlleles.add( Allele.create("TACA", false) );
haplotypeAlleles.add( Allele.create("TTCA", false) );
haplotypeAlleles.add( Allele.create("TTTA", false) );
final List<Haplotype> haplotypes = new ArrayList<Haplotype>();
haplotypes.add(new Haplotype("AATA".getBytes()));
haplotypes.add(new Haplotype("AACA".getBytes()));
haplotypes.add(new Haplotype("CATA".getBytes()));
haplotypes.add(new Haplotype("CACA".getBytes()));
haplotypes.add(new Haplotype("TACA".getBytes()));
haplotypes.add(new Haplotype("TTCA".getBytes()));
haplotypes.add(new Haplotype("TTTA".getBytes()));
final List<Allele> haplotypeAllelesForSample = new ArrayList<Allele>();
haplotypeAllelesForSample.add( Allele.create("TTTA", false) );
haplotypeAllelesForSample.add( Allele.create("AATA", true) );
final List<List<Haplotype>> alleleMapper = new ArrayList<List<Haplotype>>();
List<Haplotype> Aallele = new ArrayList<Haplotype>();
Aallele.add(haplotypes.get(0));
Aallele.add(haplotypes.get(1));
List<Haplotype> Callele = new ArrayList<Haplotype>();
Callele.add(haplotypes.get(2));
Callele.add(haplotypes.get(3));
List<Haplotype> Tallele = new ArrayList<Haplotype>();
Tallele.add(haplotypes.get(4));
Tallele.add(haplotypes.get(5));
Tallele.add(haplotypes.get(6));
alleleMapper.add(Aallele);
alleleMapper.add(Callele);
alleleMapper.add(Tallele);
final List<Allele> eventAllelesForSample = new ArrayList<Allele>();
eventAllelesForSample.add( Allele.create("A", true) );
eventAllelesForSample.add( Allele.create("T", false) );
if(!compareAlleleLists(eventAllelesForSample, HaplotypeCallerGenotypingEngine.findEventAllelesInSample(eventAlleles, haplotypeAlleles, haplotypeAllelesForSample, alleleMapper, haplotypes))) {
logger.warn("calc alleles = " + HaplotypeCallerGenotypingEngine.findEventAllelesInSample(eventAlleles, haplotypeAlleles, haplotypeAllelesForSample, alleleMapper, haplotypes));
logger.warn("expected alleles = " + eventAllelesForSample);
}
Assert.assertTrue(compareAlleleLists(eventAllelesForSample, HaplotypeCallerGenotypingEngine.findEventAllelesInSample(eventAlleles, haplotypeAlleles, haplotypeAllelesForSample, alleleMapper, haplotypes)));
}
private boolean compareAlleleLists(List<Allele> l1, List<Allele> l2) {
if( l1.size() != l2.size() ) {
return false; // sanity check
}
for( int i=0; i < l1.size(); i++ ){
if ( !l2.contains(l1.get(i)) )
return false;
}
return true;
}
private class BasicGenotypingTestProvider extends TestDataProvider {
byte[] ref;
byte[] hap;

View File

@ -90,12 +90,24 @@ public class CombineGVCFsIntegrationTest extends WalkerTest {
@Test(enabled = true)
public void testTetraploidRun() {
WalkerTestSpec spec = new WalkerTestSpec(
baseTestString(" -V:sample1 " + privateTestDir + "tetraploid-gvcf-1.vcf" +
"-T CombineGVCFs -R " + b37KGReference + " -o %s --no_cmdline_in_header -V:sample1 " + privateTestDir + "tetraploid-gvcf-1.vcf" +
" -V:sample2 " + privateTestDir + "tetraploid-gvcf-2.vcf" +
" -V:sample3 " + privateTestDir + "tetraploid-gvcf-3.vcf" +
" -L " + privateTestDir + "tetraploid-gvcfs.intervals"),
" -L " + privateTestDir + "tetraploid-gvcfs.intervals",
1,
Arrays.asList("41de0808e029ebefd8b28d31ce10109c"));
Arrays.asList("20f55be01d01bed48bf66f354fa72e5b"));
executeTest("combineSingleSamplePipelineGVCF", spec);
}
@Test(enabled= true)
public void testMixedPloidyRun() {
WalkerTestSpec spec = new WalkerTestSpec(
"-T CombineGVCFs -R " + b37KGReference + " -o %s --no_cmdline_in_header -V:sample1 " + privateTestDir + "haploid-gvcf-1.vcf" +
" -V:sample2 " + privateTestDir + "tetraploid-gvcf-2.vcf" +
" -V:sample3 " + privateTestDir + "diploid-gvcf-3.vcf" +
" -L " + privateTestDir + "tetraploid-gvcfs.intervals",
1,
Arrays.asList("c8bf3da5eb641d0082bdd5f12ea58e1e"));
executeTest("combineSingleSamplePipelineGVCF", spec);
}

View File

@ -85,7 +85,7 @@ public class GenotypeGVCFsIntegrationTest extends WalkerTest {
@Test(enabled = true)
public void testTetraploidRun() {
WalkerTestSpec spec = new WalkerTestSpec(
baseTestString(" -ploidy 4 -V:sample1 " + privateTestDir + "tetraploid-gvcf-1.vcf" +
baseTestString(" -V:sample1 " + privateTestDir + "tetraploid-gvcf-1.vcf" +
" -V:sample2 " + privateTestDir + "tetraploid-gvcf-2.vcf" +
" -V:sample3 " + privateTestDir + "tetraploid-gvcf-3.vcf" +
" -L " + privateTestDir + "tetraploid-gvcfs.intervals", b37KGReference),
@ -94,6 +94,18 @@ public class GenotypeGVCFsIntegrationTest extends WalkerTest {
executeTest("combineSingleSamplePipelineGVCF", spec);
}
@Test(enabled= true)
public void testMixedPloidyRun() {
WalkerTestSpec spec = new WalkerTestSpec(
baseTestString(" -V:sample1 " + privateTestDir + "haploid-gvcf-1.vcf" +
" -V:sample2 " + privateTestDir + "tetraploid-gvcf-2.vcf" +
" -V:sample3 " + privateTestDir + "diploid-gvcf-3.vcf" +
" -L " + privateTestDir + "tetraploid-gvcfs.intervals", b37KGReference),
1,
Arrays.asList("0ad7d784a15ad7f8b386ec7ca34032af"));
executeTest("combineSingleSamplePipelineGVCF", spec);
}
@Test(enabled = true)
public void combineSingleSamplePipelineGVCF_includeNonVariants() {
WalkerTestSpec spec = new WalkerTestSpec(
@ -148,7 +160,7 @@ public class GenotypeGVCFsIntegrationTest extends WalkerTest {
" -V " + privateTestDir + "gvcfExample1.vcf" +
" -V " + privateTestDir + "gvcfExample2.vcf",
1,
Arrays.asList("81c4cc8a6b72c24598ee899df838f1e8"));
Arrays.asList("ec63a629cc707554d3dd2ba7254b3b8d"));
executeTest("testSamplesWithDifferentLs", spec);
}

View File

@ -164,7 +164,7 @@ public class GATKVariantContextUtils {
int result = 0;
for (final Genotype genotype : vc.getGenotypes()) {
final int declaredPloidy = genotype.getPloidy();
result += declaredPloidy <= 0 ? declaredPloidy : declaredPloidy;
result += declaredPloidy <= 0 ? defaultPloidy : declaredPloidy;
}
return result;

View File

@ -1573,6 +1573,35 @@ public class GATKVariantContextUtilsUnitTest extends BaseTest {
locs[nextIndex++] = GenomeLoc.UNMAPPED;
}
@Test(dataProvider = "totalPloidyData")
public void testTotalPloidy(final int[] ploidies, final int defaultPloidy, final int expected) {
final Genotype[] genotypes = new Genotype[ploidies.length];
final List<Allele> vcAlleles = Arrays.asList(Aref,C);
for (int i = 0; i < genotypes.length; i++)
genotypes[i] = new GenotypeBuilder().alleles(GATKVariantContextUtils.noCallAlleles(ploidies[i])).make();
final VariantContext vc = new VariantContextBuilder().chr("seq1").genotypes(genotypes).alleles(vcAlleles).make();
Assert.assertEquals(GATKVariantContextUtils.totalPloidy(vc,defaultPloidy),expected," " + defaultPloidy + " " + Arrays.toString(ploidies));
}
@DataProvider(name="totalPloidyData")
public Object[][] totalPloidyData() {
final Random rdn = GenomeAnalysisEngine.getRandomGenerator();
final List<Object[]> resultList = new ArrayList<>();
for (int i = 0; i < 100; i++) {
final int sampleCount = rdn.nextInt(10);
int expected = 0;
final int defaultPloidy = rdn.nextInt(10) + 1;
final int[] plodies = new int[sampleCount];
for (int j = 0; j < sampleCount; j++) {
plodies[j] = rdn.nextInt(10);
expected += plodies[j] == 0 ? defaultPloidy : plodies[j];
}
resultList.add(new Object[] { plodies, defaultPloidy, expected });
}
return resultList.toArray(new Object[100][]);
}
private byte[] randomBases(final int length, final boolean reference) {
final byte[] bases = new byte[length];
bases[0] = (byte) (reference ? 'A' : 'C');