use of gridss.analysis.IdsvMetrics in project gridss by PapenfussLab.
the class IdsvSamFileMetrics method getIdsvMetrics.
private static IdsvMetrics getIdsvMetrics(File idsvMetricsFiles) {
IdsvMetrics metric = Iterators.getOnlyElement(Iterables.filter(MetricsFile.readBeans(idsvMetricsFiles), IdsvMetrics.class).iterator(), null);
if (metric == null) {
metric = new IdsvMetrics();
log.error(String.format("No idsv metrics found in %s.", idsvMetricsFiles));
}
return metric;
}
use of gridss.analysis.IdsvMetrics in project gridss by PapenfussLab.
the class FastEmpiricalReferenceLikelihoodModel method scoreUnmappedMate.
@Override
public double scoreUnmappedMate(IdsvSamFileMetrics metrics, int mapq) {
IdsvMetrics im = metrics.getIdsvMetrics();
// completely unmapped read pairs are excluded for consistency with sc and dp calculation
double score = MathUtil.prToPhred((double) im.READ_PAIRS_ONE_MAPPED / (double) (im.READ_PAIRS - im.READ_PAIRS_ZERO_MAPPED));
score = Math.min(score, mapq);
return score;
}
use of gridss.analysis.IdsvMetrics in project gridss by PapenfussLab.
the class IdsvSamFileMetricsCollectorTest method should_calc_max_fragment_size.
@Test
public void should_calc_max_fragment_size() {
IdsvSamFileMetricsCollector c = new IdsvSamFileMetricsCollector(null);
c.acceptRecord(Read(0, 1, "100M"), null);
c.acceptRecord(RP(0, 1, 2, 1)[0], null);
c.acceptRecord(RP(0, 1, 7, 5)[0], null);
// should ignore this as it's not a proper pair
SAMRecord r = RP(0, 1, 100, 5)[0];
r.setProperPairFlag(false);
c.acceptRecord(r, null);
// 12345678901234567890
// ----> <----
c.acceptRecord(Read(0, 1, "100M"), null);
MetricsFile<IdsvMetrics, Integer> idsv = new MetricsFile<IdsvMetrics, Integer>();
MetricsFile<InsertSizeMetrics, Integer> is = new MetricsFile<InsertSizeMetrics, Integer>();
MetricsFile<CigarDetailMetrics, Integer> sc = new MetricsFile<CigarDetailMetrics, Integer>();
MetricsFile<MapqMetrics, Integer> mq = new MetricsFile<MapqMetrics, Integer>();
c.finish(is, idsv, mq, sc);
assertEquals(11, (int) ((IdsvMetrics) idsv.getMetrics().get(0)).MAX_PROPER_PAIR_FRAGMENT_LENGTH);
c = new IdsvSamFileMetricsCollector(null);
// mate before
r = RP(0, 1, 100, 5)[1];
c.acceptRecord(r, null);
c.finish(is, idsv, mq, sc);
assertEquals(11, (int) ((IdsvMetrics) idsv.getMetrics().get(0)).MAX_PROPER_PAIR_FRAGMENT_LENGTH);
}
use of gridss.analysis.IdsvMetrics in project gridss by PapenfussLab.
the class EmpiricalReferenceLikelihoodModelTest method should_score_read_pairs_correctly.
@Test
public void should_score_read_pairs_correctly() {
IdsvSamFileMetrics metrics = new IdsvSamFileMetrics(new InsertSizeMetrics() {
{
MEAN_INSERT_SIZE = 2;
MEDIAN_INSERT_SIZE = 2;
MIN_INSERT_SIZE = 1;
MAX_INSERT_SIZE = 3;
MEDIAN_ABSOLUTE_DEVIATION = 1;
}
}, new IdsvMetrics() {
{
MAX_READ_LENGTH = 100;
MAX_PROPER_PAIR_FRAGMENT_LENGTH = 2;
MIN_PROPER_PAIR_FRAGMENT_LENGTH = 2;
READ_PAIRS = 13;
READ_PAIRS_ONE_MAPPED = 2;
READ_PAIRS_ZERO_MAPPED = 1;
READ_PAIRS_BOTH_MAPPED = READ_PAIRS - READ_PAIRS_ONE_MAPPED - READ_PAIRS_ZERO_MAPPED;
READS = 2 * READ_PAIRS;
MAPPED_READS = READS - READ_PAIRS_ONE_MAPPED - 2 * READ_PAIRS_ZERO_MAPPED;
}
}, new MapqMetrics() {
{
}
}, new InsertSizeDistribution(new int[] { 1, 2, 3 }, new double[] { 1, 8, 1 }), new ArrayList<CigarDetailMetrics>());
assertEquals(10, model.scoreReadPair(metrics, 3, 1000, 1000), 0.001);
}
use of gridss.analysis.IdsvMetrics in project gridss by PapenfussLab.
the class TestHelper method IDSV.
public IdsvMetrics IDSV(Collection<SAMRecord> input) {
IdsvSamFileMetricsCollector c = new IdsvSamFileMetricsCollector(null);
for (SAMRecord r : input) {
c.acceptRecord(r, null);
}
MetricsFile<IdsvMetrics, Integer> idsv = new MetricsFile<IdsvMetrics, Integer>();
MetricsFile<InsertSizeMetrics, Integer> is = new MetricsFile<InsertSizeMetrics, Integer>();
MetricsFile<CigarDetailMetrics, Integer> sc = new MetricsFile<CigarDetailMetrics, Integer>();
MetricsFile<MapqMetrics, Integer> mqm = new MetricsFile<MapqMetrics, Integer>();
c.finish(is, idsv, mqm, sc);
IdsvMetrics metrics = idsv.getMetrics().get(0);
return metrics;
}
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