Examples with SnpGenotype com.hartwig.pipeline.snpgenotype.SnpGenotype used on opensource projects

Example 1 with SnpGenotype

use of com.hartwig.pipeline.snpgenotype.SnpGenotype in project pipeline5 by hartwigmedical.

the class SingleSamplePipeline method run.

public PipelineState run(final SingleSampleRunMetadata metadata) throws Exception {
    LOGGER.info("Pipeline5 single sample pipeline starting for sample name [{}] with id [{}] {}", metadata.sampleName(), metadata.barcode(), arguments.runId().map(runId -> String.format("using run tag [%s]", runId)).orElse(""));
    PipelineState state = new PipelineState();
    final ResourceFiles resourceFiles = buildResourceFiles(arguments);
    AlignmentOutput alignmentOutput = convertCramsIfNecessary(arguments, metadata, state);
    eventListener.alignmentComplete(alignmentOutput);
    if (state.shouldProceed()) {
        Future<BamMetricsOutput> bamMetricsFuture = executorService.submit(() -> stageRunner.run(metadata, new BamMetrics(resourceFiles, alignmentOutput, persistedDataset, arguments)));
        Future<SnpGenotypeOutput> unifiedGenotyperFuture = executorService.submit(() -> stageRunner.run(metadata, new SnpGenotype(resourceFiles, alignmentOutput)));
        Future<FlagstatOutput> flagstatOutputFuture = executorService.submit(() -> stageRunner.run(metadata, new Flagstat(alignmentOutput, persistedDataset)));
        Future<CramOutput> cramOutputFuture = executorService.submit(() -> stageRunner.run(metadata, new CramConversion(alignmentOutput, metadata.type(), resourceFiles)));
        if (metadata.type().equals(SingleSampleRunMetadata.SampleType.REFERENCE)) {
            Future<GermlineCallerOutput> germlineCallerFuture = executorService.submit(() -> stageRunner.run(metadata, new GermlineCaller(alignmentOutput, resourceFiles, persistedDataset)));
            GermlineCallerOutput germlineCallerOutput = futurePayload(germlineCallerFuture);
            germlineCallerOutputQueue.put(germlineCallerOutput);
            report.add(state.add(germlineCallerOutput));
        }
        BamMetricsOutput bamMetricsOutput = futurePayload(bamMetricsFuture);
        metricsOutputQueue.put(bamMetricsOutput);
        FlagstatOutput flagstatOutput = futurePayload(flagstatOutputFuture);
        flagstatOutputQueue.put(flagstatOutput);
        report.add(state.add(bamMetricsOutput));
        report.add(state.add(futurePayload(unifiedGenotyperFuture)));
        report.add(state.add(flagstatOutput));
        report.add(state.add(futurePayload(cramOutputFuture)));
        report.compose(metadata, "SingleSample");
        eventListener.complete(state);
    }
    return state;
}