Examples with PairHMMNativeArguments org.broadinstitute.gatk.nativebindings.pairhmm.PairHMMNativeArguments used on opensource projects

Example 6 with PairHMMNativeArguments

use of org.broadinstitute.gatk.nativebindings.pairhmm.PairHMMNativeArguments in project gatk by broadinstitute.

the class PairHMMNativeArgumentCollection method getPairHMMArgs.

public PairHMMNativeArguments getPairHMMArgs() {
    final PairHMMNativeArguments args = new PairHMMNativeArguments();
    args.maxNumberOfThreads = pairHmmNativeThreads;
    args.useDoublePrecision = useDoublePrecision;
    return args;
}

Example 7 with PairHMMNativeArguments

use of org.broadinstitute.gatk.nativebindings.pairhmm.PairHMMNativeArguments in project gatk by broadinstitute.

the class PairHMMLikelihoodCalculationEngineUnitTest method testComputeLikelihoods.

@Test
public void testComputeLikelihoods() {
    final LikelihoodEngineArgumentCollection LEAC = new LikelihoodEngineArgumentCollection();
    PairHMMLikelihoodCalculationEngine.writeLikelihoodsToFile = true;
    final ReadLikelihoodCalculationEngine lce = new PairHMMLikelihoodCalculationEngine((byte) SAMUtils.MAX_PHRED_SCORE, new PairHMMNativeArguments(), PairHMM.Implementation.LOGLESS_CACHING, MathUtils.logToLog10(QualityUtils.qualToErrorProbLog10(LEAC.phredScaledGlobalReadMismappingRate)), PairHMMLikelihoodCalculationEngine.PCRErrorModel.CONSERVATIVE);
    final Map<String, List<GATKRead>> perSampleReadList = new HashMap<>();
    final int n = 10;
    final GATKRead read1 = ArtificialReadUtils.createArtificialRead(TextCigarCodec.decode(n + "M"));
    read1.setMappingQuality(60);
    final String sample1 = "sample1";
    perSampleReadList.put(sample1, Arrays.asList(read1));
    final SampleList samples = new IndexedSampleList(sample1);
    final AssemblyResultSet assemblyResultSet = new AssemblyResultSet();
    final byte[] bases = Strings.repeat("A", n + 1).getBytes();
    final Haplotype hap1 = new Haplotype(bases, true);
    hap1.setGenomeLocation(read1);
    assemblyResultSet.add(hap1);
    final byte[] basesModified = bases;
    //different bases
    basesModified[5] = 'C';
    final Haplotype hap2 = new Haplotype(basesModified, false);
    //use same loc
    hap2.setGenomeLocation(read1);
    assemblyResultSet.add(hap2);
    final ReadLikelihoods<Haplotype> likes = lce.computeReadLikelihoods(assemblyResultSet, samples, perSampleReadList);
    final LikelihoodMatrix<Haplotype> mtx = likes.sampleMatrix(0);
    Assert.assertEquals(mtx.numberOfAlleles(), 2);
    Assert.assertEquals(mtx.numberOfReads(), 1);
    final double v1 = mtx.get(0, 0);
    final double v2 = mtx.get(1, 0);
    Assert.assertTrue(v1 > v2, "matching haplotype should have a higher likelihood");
    lce.close();
    new File(PairHMMLikelihoodCalculationEngine.LIKELIHOODS_FILENAME).delete();
}