Removed used routines in duputils; duplicatequals to archive; docs for new duplicate traversal code; general code cleanup; bug fixes for combineduplicates; integration tests for combine duplicates walker
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2468 348d0f76-0448-11de-a6fe-93d51630548a
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@ -61,6 +61,7 @@ public class TraverseDuplicates extends TraversalEngine {
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/** descriptor of the type */
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/** descriptor of the type */
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private static final String DUPS_STRING = "dups";
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private static final String DUPS_STRING = "dups";
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/** Turn this to true to enable logger.debug output */
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private final boolean DEBUG = false;
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private final boolean DEBUG = false;
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private List<SAMRecord> readsAtLoc(final SAMRecord read, PushbackIterator<SAMRecord> iter) {
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private List<SAMRecord> readsAtLoc(final SAMRecord read, PushbackIterator<SAMRecord> iter) {
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@ -73,11 +74,9 @@ public class TraverseDuplicates extends TraversalEngine {
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// the next read starts too late
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// the next read starts too late
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if (site2.getStart() != site.getStart()) {
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if (site2.getStart() != site.getStart()) {
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//System.out.printf("site = %s, site2 = %s%n", site, site2);
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iter.pushback(read2);
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iter.pushback(read2);
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break;
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break;
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} else {
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} else {
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//System.out.printf("Read is a duplicate: %s%n", read.format());
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l.add(read2);
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l.add(read2);
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}
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}
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}
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}
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@ -85,11 +84,20 @@ public class TraverseDuplicates extends TraversalEngine {
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return l;
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return l;
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}
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}
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/**
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* Creates a set of lists of reads, where each list contains reads from the same underlying molecule according
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* to their duplicate flag and their (and mate, if applicable) start/end positions.
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*
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* @param reads the list of reads to split into unique molecular samples
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* @return
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*/
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protected Set<List<SAMRecord>> uniqueReadSets(List<SAMRecord> reads) {
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protected Set<List<SAMRecord>> uniqueReadSets(List<SAMRecord> reads) {
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Set<List<SAMRecord>> readSets = new HashSet<List<SAMRecord>>();
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Set<List<SAMRecord>> readSets = new HashSet<List<SAMRecord>>();
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// for each read, find duplicates, and either add the read to its duplicate list or start a new one
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for ( SAMRecord read : reads ) {
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for ( SAMRecord read : reads ) {
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List<SAMRecord> readSet = findDuplicateReads(read, readSets);
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List<SAMRecord> readSet = findDuplicateReads(read, readSets);
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if ( readSet == null ) {
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if ( readSet == null ) {
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readSets.add(new ArrayList<SAMRecord>(Arrays.asList(read))); // copy so I can add to the list
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readSets.add(new ArrayList<SAMRecord>(Arrays.asList(read))); // copy so I can add to the list
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} else {
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} else {
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@ -100,6 +108,15 @@ public class TraverseDuplicates extends TraversalEngine {
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return readSets;
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return readSets;
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}
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}
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/**
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* Find duplicate reads for read in the set of unique reads. This is effective a duplicate marking algorithm,
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* but it relies for safety's sake on the file itself being marked by a true duplicate marking algorithm. Pair
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* and single-end read aware.
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*
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* @param read
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* @param readSets
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* @return The list of duplicate reads that read is a member of, or null if it's the only one of its kind
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*/
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protected List<SAMRecord> findDuplicateReads(SAMRecord read, Set<List<SAMRecord>> readSets ) {
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protected List<SAMRecord> findDuplicateReads(SAMRecord read, Set<List<SAMRecord>> readSets ) {
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if ( read.getReadPairedFlag() ) {
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if ( read.getReadPairedFlag() ) {
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// paired
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// paired
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@ -107,8 +124,6 @@ public class TraverseDuplicates extends TraversalEngine {
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for (List<SAMRecord> reads : readSets) {
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for (List<SAMRecord> reads : readSets) {
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SAMRecord key = reads.get(0);
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SAMRecord key = reads.get(0);
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//if (DEBUG)
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// logger.debug(String.format("Examining reads at %s vs. %s at %s / %s vs. %s / %s%n", key.getReadName(), read.getReadName(), keyLoc, keyMateLoc, readLoc, readMateLoc));
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// read and key start at the same place, and either the this read and the key
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// read and key start at the same place, and either the this read and the key
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// share a mate location or the read is flagged as a duplicate
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// share a mate location or the read is flagged as a duplicate
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@ -191,19 +206,11 @@ public class TraverseDuplicates extends TraversalEngine {
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Shard shard,
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Shard shard,
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ShardDataProvider dataProvider,
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ShardDataProvider dataProvider,
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T sum) {
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T sum) {
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//logger.debug(String.format("TraverseDuplicates.traverse Genomic interval is %s", shard.getGenomeLoc()));
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// safety first :-)
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if (!(walker instanceof DuplicateWalker))
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if (!(walker instanceof DuplicateWalker))
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throw new IllegalArgumentException("Walker isn't a duplicate walker!");
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throw new IllegalArgumentException("Walker isn't a duplicate walker!");
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DuplicateWalker<M, T> dupWalker = (DuplicateWalker<M, T>) walker;
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DuplicateWalker<M, T> dupWalker = (DuplicateWalker<M, T>) walker;
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// while we still have more reads
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// ok, here's the idea. We get all the reads that start at the same position in the genome
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// We then split the list of reads into sublists of reads:
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// -> those with the same mate pair position, for paired reads
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// -> those flagged as unpaired and duplicated but having the same start and end and
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FilteringIterator filterIter = new FilteringIterator(new ReadView(dataProvider).iterator(), new duplicateStreamFilterFunc());
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FilteringIterator filterIter = new FilteringIterator(new ReadView(dataProvider).iterator(), new duplicateStreamFilterFunc());
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PushbackIterator<SAMRecord> iter = new PushbackIterator<SAMRecord>(filterIter);
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PushbackIterator<SAMRecord> iter = new PushbackIterator<SAMRecord>(filterIter);
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@ -219,7 +226,7 @@ public class TraverseDuplicates extends TraversalEngine {
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GenomeLoc site = GenomeLocParser.createGenomeLoc(read);
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GenomeLoc site = GenomeLocParser.createGenomeLoc(read);
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Set<List<SAMRecord>> readSets = uniqueReadSets(readsAtLoc(read, iter));
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Set<List<SAMRecord>> readSets = uniqueReadSets(readsAtLoc(read, iter));
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logger.debug(String.format("*** TraverseDuplicates.traverse at %s with %d read sets", site, readSets.size()));
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if ( DEBUG ) logger.debug(String.format("*** TraverseDuplicates.traverse at %s with %d read sets", site, readSets.size()));
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// Jump forward in the reference to this locus location
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// Jump forward in the reference to this locus location
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AlignmentContext locus = new AlignmentContext(site, new ReadBackedPileup(site));
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AlignmentContext locus = new AlignmentContext(site, new ReadBackedPileup(site));
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@ -227,6 +234,7 @@ public class TraverseDuplicates extends TraversalEngine {
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// update the number of duplicate sets we've seen
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// update the number of duplicate sets we've seen
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TraversalStatistics.nRecords++;
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TraversalStatistics.nRecords++;
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// actually call filter and map, accumulating sum
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final boolean keepMeP = dupWalker.filter(site, locus, readSets);
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final boolean keepMeP = dupWalker.filter(site, locus, readSets);
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if (keepMeP) {
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if (keepMeP) {
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M x = dupWalker.map(site, locus, readSets);
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M x = dupWalker.map(site, locus, readSets);
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@ -22,21 +22,6 @@ public abstract class DuplicateWalker<MapType, ReduceType> extends Walker<MapTyp
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return true; // We are keeping all the reads
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return true; // We are keeping all the reads
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}
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}
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/**
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* Called by the traversal engine to decide whether to send non-duplicates as lists of
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* singleton reads to the map function. By default it's false.
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*
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* @return true if you want to see non duplicates during the traversal
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*/
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public boolean mapUniqueReadsTooP() { return false; }
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/**
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* Called by the traversal engine to decide whether to call map() at loci without duplicate reads
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*
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* @return true if you want to see non duplicates during the traversal
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*/
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public boolean mapAtLociWithoutDuplicates() { return true; }
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public abstract MapType map(GenomeLoc loc, AlignmentContext context, Set<List<SAMRecord>> readSets );
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public abstract MapType map(GenomeLoc loc, AlignmentContext context, Set<List<SAMRecord>> readSets );
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// Given result of map function
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// Given result of map function
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@ -1,244 +0,0 @@
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/*
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* Copyright (c) 2009 The Broad Institute
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*
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* Permission is hereby granted, free of charge, to any person
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* obtaining a copy of this software and associated documentation
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* files (the "Software"), to deal in the Software without
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* restriction, including without limitation the rights to use,
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* copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following
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* conditions:
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*
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* The above copyright notice and this permission notice shall be
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* included in all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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* OTHER DEALINGS IN THE SOFTWARE.
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*/
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package org.broadinstitute.sting.oneoffprojects.walkers;
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import net.sf.samtools.SAMRecord;
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import org.broadinstitute.sting.gatk.contexts.AlignmentContext;
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import org.broadinstitute.sting.gatk.walkers.DuplicateWalker;
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import org.broadinstitute.sting.utils.BaseUtils;
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import org.broadinstitute.sting.utils.GenomeLoc;
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import org.broadinstitute.sting.utils.Pair;
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import org.broadinstitute.sting.utils.QualityUtils;
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import org.broadinstitute.sting.utils.cmdLine.Argument;
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import org.broadinstitute.sting.utils.duplicates.DupUtils;
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import org.broadinstitute.sting.utils.duplicates.DuplicateComp;
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import java.io.PrintStream;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Set;
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class MismatchCounter {
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long nObs = 0;
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long nMismatches = 0;
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public void inc(long incNObs, long incNMismatches) {
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nObs += incNObs;
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nMismatches += incNMismatches;
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}
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public void inc(boolean mismatchP) {
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inc(1, mismatchP ? 1 : 0);
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}
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public double mismatchRate() {
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return (double)nMismatches / nObs;
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}
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public byte empiricalQualScore() {
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return QualityUtils.probToQual(1 - mismatchRate(), 0);
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}
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public String headerString() {
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return "mismatchRate\tempiricalQ\tnObs\tnMismatches";
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}
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public String toString() {
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return String.format("%.10f\t%d\t%d\t%6d", mismatchRate(), empiricalQualScore(), nObs, nMismatches);
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}
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}
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class QualityTracker {
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final private int MAX_QUAL_SCORE = 100;
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MismatchCounter[][] mismatchesByQ = new MismatchCounter[MAX_QUAL_SCORE][MAX_QUAL_SCORE];
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public QualityTracker() {
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for ( int i = 0; i < MAX_QUAL_SCORE; i++ ) {
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for ( int j = 0; j < MAX_QUAL_SCORE; j++ ) {
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mismatchesByQ[i][j] = new MismatchCounter();
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}
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}
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}
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public void inc(int b1Qi, int b2Qi, boolean mismatchP, boolean orderDependent) {
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int b1Q = orderDependent ? b1Qi : Math.max(b1Qi, b2Qi);
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int b2Q = orderDependent ? b2Qi : Math.min(b1Qi, b2Qi);
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if ( b1Q > MAX_QUAL_SCORE ) throw new RuntimeException("Unexpectedly large base quality " + b1Q);
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if ( b2Q > MAX_QUAL_SCORE ) throw new RuntimeException("Unexpectedly large base quality " + b2Q);
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mismatchesByQ[b1Q][b2Q].inc(mismatchP);
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}
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public void inc(DuplicateComp dc, boolean orderDependent) {
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inc(dc.getQLarger(), dc.getQSmaller(), dc.isMismatchP(), orderDependent);
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}
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public int probMismatchQ1Q2(int q1, int q2) {
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double e1 = 1 - QualityUtils.qualToProb(q1);
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double e2 = 1 - QualityUtils.qualToProb(q2);
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double eMM = e1 * (1 - e2) + (1 - e1) * e2 - 1/3 * e1 * e2;
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return QualityUtils.probToQual(1 - eMM, 0.0);
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}
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public void printToStream(PrintStream out, boolean filterUnobserved) {
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out.printf("Q1\tQ2\tQmin\t%s%n", mismatchesByQ[0][0].headerString());
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for ( int i = 0; i < MAX_QUAL_SCORE; i++ ) {
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for ( int j = 0; j < MAX_QUAL_SCORE; j++ ) {
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MismatchCounter mc = mismatchesByQ[i][j];
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//System.out.printf("MC = %s%n", mc);
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if ( filterUnobserved && mc.nObs == 0 )
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continue;
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out.printf("%d\t%d\t%d\t%s\t%n", i, j, probMismatchQ1Q2(i,j), mc.toString());
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}
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}
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}
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}
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public class DuplicateQualsWalker extends DuplicateWalker<List<DuplicateComp>, QualityTracker> {
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@Argument(fullName="filterUnobservedQuals", required=false, doc="Show only quality bins with at least one observation in the data")
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public boolean FILTER_UNOBSERVED_QUALS = false;
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@Argument(fullName="maxPairwiseCompsPerDupSet", required=false, doc="Maximumize number of pairwise comparisons to perform among duplicate read sets")
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public int MAX_PAIRSIZE_COMPS_PER_DUPLICATE_SET = 100;
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@Argument(fullName="combinedQuals", required=false, doc="Combine and assess pairwise base qualities")
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public boolean COMBINE_QUALS = false;
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@Argument(fullName="combineAllDups", required=false, doc="Combine and assess pairwise base qualities")
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public boolean COMBINE_ALL_DUPS = false;
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@Argument(fullName="orderDependent", required=false, doc="")
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public boolean orderDependent = false;
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@Argument(fullName="compareToUniqueReads", required=false, doc="If true, then we will compare only to unique (i.e., non-duplicated molecules) at the same duplicate site")
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public boolean compareToUniqueReads = false;
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@Argument(fullName="comparePairToSingleton", required=false, doc="If true, then we will compare a combined dup to a random other read in the duplicate set, not a combined pair itself")
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public boolean comparePairToSingleton = false;
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final boolean DEBUG = false;
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final private boolean ACTUALLY_DO_WORK = true;
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public void onTraversalDone(QualityTracker result) {
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result.printToStream(out, FILTER_UNOBSERVED_QUALS);
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}
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public QualityTracker reduceInit() {
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return new QualityTracker();
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}
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public QualityTracker reduce(List<DuplicateComp> dupComps, QualityTracker tracker) {
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for ( DuplicateComp dc : dupComps ) {
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tracker.inc(dc, orderDependent);
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}
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return tracker;
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}
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// Print out data for regression
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public List<DuplicateComp> map(GenomeLoc loc, AlignmentContext context, Set<List<SAMRecord>> readSets ) {
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//logger.info(String.format("%s has %d duplicates and %d non-duplicates", loc, duplicateReads.size(), uniqueReads.size()));
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List<DuplicateComp> pairwiseComps = new ArrayList<DuplicateComp>();
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// todo -- fixme -- the logic here is all wrong given new interface
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// if ( ! ACTUALLY_DO_WORK )
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// return pairwiseComps;
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//
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// if ( COMBINE_QUALS ) {
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// Pair<SAMRecord, SAMRecord> combinedReads = DupUtils.combinedReadPair( duplicateReads );
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// if ( combinedReads != null ) {
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// SAMRecord combined1 = combinedReads.first;
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// SAMRecord combined2 = combinedReads.second;
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//
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// if ( comparePairToSingleton )
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// pairwiseComps = addPairwiseMatches( pairwiseComps, combined1, duplicateReads.get(2), uniqueReads );
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// else
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// pairwiseComps = addPairwiseMatches( pairwiseComps, combined1, combined2, uniqueReads );
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// }
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// } else {
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// int nComparisons = 0;
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// for ( SAMRecord read1 : duplicateReads ) {
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|
||||||
// for ( SAMRecord read2 : duplicateReads ) {
|
|
||||||
// if ( read1.hashCode() < read2.hashCode() && DupUtils.usableDuplicate(read1, read2) ) {
|
|
||||||
// // the hashcode insures we don't do A vs. B and B vs. A
|
|
||||||
// //System.out.printf("Comparing %s against %s%n", read1, read2);
|
|
||||||
// nComparisons++;
|
|
||||||
// pairwiseComps = addPairwiseMatches( pairwiseComps, read1, read2, uniqueReads );
|
|
||||||
// if ( nComparisons > MAX_PAIRSIZE_COMPS_PER_DUPLICATE_SET )
|
|
||||||
// break;
|
|
||||||
// }
|
|
||||||
// }
|
|
||||||
// }
|
|
||||||
// }
|
|
||||||
|
|
||||||
return pairwiseComps;
|
|
||||||
}
|
|
||||||
|
|
||||||
private List<DuplicateComp> addPairwiseMatches(List<DuplicateComp> comps,
|
|
||||||
SAMRecord read1, SAMRecord read2,
|
|
||||||
List<SAMRecord> uniqueReads ) {
|
|
||||||
if ( compareToUniqueReads ) {
|
|
||||||
// we want to compare to a read in the unique read set
|
|
||||||
if ( uniqueReads.size() > 0 ) { // there's actually something to compare to
|
|
||||||
SAMRecord uniqueRead = uniqueReads.get(0); // might as well get the first one
|
|
||||||
return pairwiseMatches(comps, read1, uniqueRead);
|
|
||||||
} else {
|
|
||||||
return comps;
|
|
||||||
}
|
|
||||||
} else {
|
|
||||||
// default, just do read1 vs. read2
|
|
||||||
return pairwiseMatches(comps, read1, read2);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Calculates the pairwise mismatches between reads read1 and read2 and adds the result to the comps list.
|
|
||||||
* Doesn't contain any logic deciding what to compare, just does read1 and read2
|
|
||||||
*
|
|
||||||
* @param comps
|
|
||||||
* @param read1
|
|
||||||
* @param read2
|
|
||||||
* @return
|
|
||||||
*/
|
|
||||||
private List<DuplicateComp> pairwiseMatches(List<DuplicateComp> comps, SAMRecord read1, SAMRecord read2 ) {
|
|
||||||
byte[] read1Bases = read1.getReadBases();
|
|
||||||
byte[] read1Quals = read1.getBaseQualities();
|
|
||||||
byte[] read2Bases = read2.getReadBases();
|
|
||||||
byte[] read2Quals = read2.getBaseQualities();
|
|
||||||
|
|
||||||
for ( int i = 0; i < read1Bases.length; i++) {
|
|
||||||
byte qual1 = read1Quals[i];
|
|
||||||
byte qual2 = read2Quals[i];
|
|
||||||
boolean mismatchP = ! BaseUtils.basesAreEqual(read1Bases[i], read2Bases[i]);
|
|
||||||
DuplicateComp dc = new DuplicateComp(qual1, qual2, mismatchP);
|
|
||||||
comps.add(dc);
|
|
||||||
}
|
|
||||||
|
|
||||||
return comps;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -21,21 +21,10 @@ public class CombineDuplicatesWalker extends DuplicateWalker<List<SAMRecord>, SA
|
||||||
@Argument(fullName="outputBAM", shortName="outputBAM", required=false, doc="BAM File to write combined duplicates to")
|
@Argument(fullName="outputBAM", shortName="outputBAM", required=false, doc="BAM File to write combined duplicates to")
|
||||||
public SAMFileWriter outputBAM = null;
|
public SAMFileWriter outputBAM = null;
|
||||||
|
|
||||||
@Argument(fullName="includeUniqueReads", shortName="includeUniqueReads", required=false, doc="If true, also writes out non-duplicate reads in file")
|
|
||||||
public boolean INCLUDE_UNIQUE_READS = true;
|
|
||||||
|
|
||||||
@Argument(fullName="maxQ", shortName="maxQ", required=false,
|
@Argument(fullName="maxQ", shortName="maxQ", required=false,
|
||||||
doc="The maximum Q score allowed for combined reads, reflects the background error rate giving rise to perfect bases that don't correspond to the reference")
|
doc="The maximum Q score allowed for combined reads, reflects the background error rate giving rise to perfect bases that don't correspond to the reference")
|
||||||
public int MAX_QUALITY_SCORE = 50;
|
public int MAX_QUALITY_SCORE = 50;
|
||||||
|
|
||||||
/**
|
|
||||||
* do we want to include unqiue reads?
|
|
||||||
* @return the user specified command line argument INCLUDE_UNIQUE_READS
|
|
||||||
*/
|
|
||||||
public boolean mapUniqueReadsTooP() {
|
|
||||||
return INCLUDE_UNIQUE_READS;
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* start the walker with the command line argument specified SAMFileWriter
|
* start the walker with the command line argument specified SAMFileWriter
|
||||||
* @return a sam file writer, which may be null
|
* @return a sam file writer, which may be null
|
||||||
|
|
@ -59,11 +48,15 @@ public class CombineDuplicatesWalker extends DuplicateWalker<List<SAMRecord>, SA
|
||||||
return output;
|
return output;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* We don't want to see loci without duplicates, since
|
* when we're done, print out the collected stats
|
||||||
* @return
|
* @param result the result of the traversal engine, to be printed out
|
||||||
*/
|
*/
|
||||||
public boolean mapAtLociWithoutDuplicates() { return false; }
|
public void onTraversalDone(SAMFileWriter result) {
|
||||||
|
return; // don't do anything
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Build a combined read given the input list of non-unique reads. If there's just one read in the
|
* Build a combined read given the input list of non-unique reads. If there's just one read in the
|
||||||
|
|
@ -86,10 +79,12 @@ public class CombineDuplicatesWalker extends DuplicateWalker<List<SAMRecord>, SA
|
||||||
combinedRead = reads.get(0);
|
combinedRead = reads.get(0);
|
||||||
} else {
|
} else {
|
||||||
// actually call the combine function
|
// actually call the combine function
|
||||||
//for (SAMRecord read : duplicateReads ) {
|
// for (SAMRecord read : reads ) {
|
||||||
// System.out.printf("Read %s%n", read.format());
|
// out.printf("Combining Read %s%n", read.format());
|
||||||
//}
|
// }
|
||||||
|
//
|
||||||
combinedRead = DupUtils.combineDuplicates(reads, MAX_QUALITY_SCORE);
|
combinedRead = DupUtils.combineDuplicates(reads, MAX_QUALITY_SCORE);
|
||||||
|
//out.printf(" => into %s%n", combinedRead.format());
|
||||||
}
|
}
|
||||||
|
|
||||||
if ( combinedRead.getDuplicateReadFlag() )
|
if ( combinedRead.getDuplicateReadFlag() )
|
||||||
|
|
|
||||||
|
|
@ -48,7 +48,7 @@ class DuplicateCount {
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Count the number of unique reads, duplicates, and the average depth of unique reads and duplicates at all positions.
|
* Count the number of unique reads, duplicates, and the average depth of unique reads and duplicates at all positions.
|
||||||
* @author aaron
|
* @author mark DePristo
|
||||||
*/
|
*/
|
||||||
public class CountDuplicatesWalker extends DuplicateWalker<DuplicateCount, DuplicateCount> {
|
public class CountDuplicatesWalker extends DuplicateWalker<DuplicateCount, DuplicateCount> {
|
||||||
@Argument(fullName="quiet", required=false, doc="If true, per locus information isn't printex")
|
@Argument(fullName="quiet", required=false, doc="If true, per locus information isn't printex")
|
||||||
|
|
|
||||||
|
|
@ -2,109 +2,21 @@ package org.broadinstitute.sting.utils.duplicates;
|
||||||
|
|
||||||
import net.sf.samtools.SAMRecord;
|
import net.sf.samtools.SAMRecord;
|
||||||
import org.broadinstitute.sting.utils.*;
|
import org.broadinstitute.sting.utils.*;
|
||||||
|
import org.broadinstitute.sting.utils.pileup.ReadBackedPileup;
|
||||||
|
import org.broadinstitute.sting.utils.pileup.PileupElement;
|
||||||
|
import org.broadinstitute.sting.oneoffprojects.multisamplecaller.BasicPileup;
|
||||||
|
|
||||||
import java.util.List;
|
import java.util.List;
|
||||||
import java.util.ArrayList;
|
import java.util.ArrayList;
|
||||||
import java.util.Arrays;
|
import java.util.Arrays;
|
||||||
|
|
||||||
public class DupUtils {
|
public class DupUtils {
|
||||||
public static boolean usableDuplicate( SAMRecord read1, SAMRecord read2 ) {
|
private static SAMRecord tmpCopyRead(SAMRecord read) {
|
||||||
return read1 != read2 && read1.getReadLength() == read2.getReadLength();
|
try {
|
||||||
}
|
return (SAMRecord)read.clone();
|
||||||
|
} catch ( CloneNotSupportedException e ) {
|
||||||
public static Pair<SAMRecord, SAMRecord> combinedReadPair( List<SAMRecord> duplicateReads ) {
|
throw new StingException("Unexpected Clone failure!");
|
||||||
if ( duplicateReads.size() < 4 )
|
|
||||||
return null;
|
|
||||||
|
|
||||||
SAMRecord c1 = combine2Duplicates(duplicateReads.get(0),duplicateReads.get(1));
|
|
||||||
SAMRecord c2 = combine2Duplicates(duplicateReads.get(2),duplicateReads.get(3));
|
|
||||||
return new Pair<SAMRecord, SAMRecord>(c1, c2);
|
|
||||||
}
|
|
||||||
|
|
||||||
public static SAMRecord sample3rdRead( List<SAMRecord> duplicateReads, SAMRecord read1, SAMRecord read2 ) {
|
|
||||||
if ( duplicateReads.size() <= 2 ) {
|
|
||||||
// no third unique read is available
|
|
||||||
return null;
|
|
||||||
} else {
|
|
||||||
for ( SAMRecord read3 : duplicateReads ) {
|
|
||||||
if ( usableDuplicate(read1, read3) && usableDuplicate(read2, read3) )
|
|
||||||
return read3;
|
|
||||||
}
|
|
||||||
|
|
||||||
return null;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
public static SAMRecord tmpCopyRead(SAMRecord read) {
|
|
||||||
SAMRecord copy = new SAMRecord(read.getHeader());
|
|
||||||
copy.setReadName(read.getReadName());
|
|
||||||
//copy.setReadString(final String value) {
|
|
||||||
copy.setReadBases(read.getReadBases());
|
|
||||||
copy.setBaseQualities(read.getBaseQualities());
|
|
||||||
copy.setReferenceName(read.getReferenceName());
|
|
||||||
copy.setReferenceIndex(read.getReferenceIndex());
|
|
||||||
copy.setMateReferenceName(read.getMateReferenceName());
|
|
||||||
copy.setMateReferenceIndex(read.getMateReferenceIndex());
|
|
||||||
copy.setAlignmentStart(read.getAlignmentStart());
|
|
||||||
//copy.setAlignmentEnd(read.getAlignmentEnd());
|
|
||||||
copy.setMateAlignmentStart(read.getMateAlignmentStart());
|
|
||||||
copy.setInferredInsertSize(read.getInferredInsertSize());
|
|
||||||
copy.setMappingQuality(read.getMappingQuality());
|
|
||||||
copy.setCigar(read.getCigar());
|
|
||||||
copy.setFlags(read.getFlags());
|
|
||||||
|
|
||||||
return copy;
|
|
||||||
}
|
|
||||||
|
|
||||||
public static SAMRecord combine2Duplicates(SAMRecord read1, SAMRecord read2) {
|
|
||||||
byte[] read1Bases = read1.getReadBases();
|
|
||||||
byte[] read1Quals = read1.getBaseQualities();
|
|
||||||
byte[] read2Bases = read2.getReadBases();
|
|
||||||
byte[] read2Quals = read2.getBaseQualities();
|
|
||||||
|
|
||||||
byte[] bases = new byte[read1Bases.length];
|
|
||||||
byte[] quals = new byte[read1Bases.length];
|
|
||||||
|
|
||||||
SAMRecord c = tmpCopyRead(read1);
|
|
||||||
for ( int i = 0; i < read1Bases.length; i++) {
|
|
||||||
byte base1 = read1Bases[i];
|
|
||||||
byte base2 = read2Bases[i];
|
|
||||||
byte qual1 = read1Quals[i];
|
|
||||||
byte qual2 = read2Quals[i];
|
|
||||||
|
|
||||||
Pair<Byte, Integer> combined = combine2BasesAndQuals(base1, base2, qual1, qual2);
|
|
||||||
|
|
||||||
bases[i] = combined.getFirst();
|
|
||||||
quals[i] = QualityUtils.boundQual(combined.getSecond());
|
|
||||||
|
|
||||||
// if ( DEBUG )
|
|
||||||
// logger.debug(String.format("Combining %s (Q%2d) with %s (Q%2d) -> %s (Q%2d)%s%n",
|
|
||||||
// (char)base1, qual1, (char)base2, qual2, (char)bases[i], quals[i],
|
|
||||||
// base1 == base2 ? "" : " [MISMATCH]"));
|
|
||||||
}
|
}
|
||||||
c.setReadBases(bases);
|
|
||||||
c.setBaseQualities(quals);
|
|
||||||
|
|
||||||
return c;
|
|
||||||
}
|
|
||||||
|
|
||||||
public static Pair<Byte, Integer> combine2BasesAndQuals(byte base1, byte base2, int qual1, int qual2) {
|
|
||||||
byte cbase;
|
|
||||||
int cqual;
|
|
||||||
|
|
||||||
if ( base1 == base2 ) {
|
|
||||||
// agreement
|
|
||||||
cbase = base1;
|
|
||||||
cqual = qual1 + qual2;
|
|
||||||
} else {
|
|
||||||
// disagreement
|
|
||||||
cbase = qual1 > qual2 ? base1 : base2;
|
|
||||||
//cqual = Math.max(qual1, qual2);
|
|
||||||
cqual = Math.max(qual1, qual2) - Math.min(qual1, qual2);
|
|
||||||
|
|
||||||
}
|
|
||||||
|
|
||||||
return new Pair<Byte, Integer>(cbase, cqual);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
public static SAMRecord combineDuplicates(List<SAMRecord> duplicates, int maxQScore) {
|
public static SAMRecord combineDuplicates(List<SAMRecord> duplicates, int maxQScore) {
|
||||||
|
|
@ -114,6 +26,7 @@ public class DupUtils {
|
||||||
// make the combined read by copying the first read and setting the
|
// make the combined read by copying the first read and setting the
|
||||||
// bases and quals to new arrays
|
// bases and quals to new arrays
|
||||||
SAMRecord comb = tmpCopyRead(duplicates.get(0));
|
SAMRecord comb = tmpCopyRead(duplicates.get(0));
|
||||||
|
//SAMRecord comb = tmpCopyRead(duplicates.get(0));
|
||||||
comb.setDuplicateReadFlag(false);
|
comb.setDuplicateReadFlag(false);
|
||||||
int readLen = comb.getReadBases().length;
|
int readLen = comb.getReadBases().length;
|
||||||
byte[] bases = new byte[readLen];
|
byte[] bases = new byte[readLen];
|
||||||
|
|
@ -125,8 +38,6 @@ public class DupUtils {
|
||||||
// System.out.printf("dup base %c %d%n", (char)read.getReadBases()[i], read.getBaseQualities()[i]);
|
// System.out.printf("dup base %c %d%n", (char)read.getReadBases()[i], read.getBaseQualities()[i]);
|
||||||
//}
|
//}
|
||||||
Pair<Byte, Byte> baseAndQual = combineBaseProbs(duplicates, i, maxQScore);
|
Pair<Byte, Byte> baseAndQual = combineBaseProbs(duplicates, i, maxQScore);
|
||||||
// baseAndQual = combineBasesByConsensus(duplicates, i);
|
|
||||||
// baseAndQual = combineDupBasesAtI(duplicates, i);
|
|
||||||
bases[i] = baseAndQual.getFirst();
|
bases[i] = baseAndQual.getFirst();
|
||||||
quals[i] = baseAndQual.getSecond();
|
quals[i] = baseAndQual.getSecond();
|
||||||
}
|
}
|
||||||
|
|
@ -142,6 +53,7 @@ public class DupUtils {
|
||||||
char bestBase = 0;
|
char bestBase = 0;
|
||||||
double bestProb = Double.NEGATIVE_INFINITY;
|
double bestProb = Double.NEGATIVE_INFINITY;
|
||||||
double sumProbs = 0;
|
double sumProbs = 0;
|
||||||
|
|
||||||
for ( int i = 0; i < 4; i++ ) {
|
for ( int i = 0; i < 4; i++ ) {
|
||||||
sumProbs += Math.pow(10, probs[i]);
|
sumProbs += Math.pow(10, probs[i]);
|
||||||
//System.out.printf("Bestprob is %f > %f%n", bestProb, probs[i]);
|
//System.out.printf("Bestprob is %f > %f%n", bestProb, probs[i]);
|
||||||
|
|
@ -150,20 +62,20 @@ public class DupUtils {
|
||||||
bestProb = probs[i];
|
bestProb = probs[i];
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
Arrays.sort(probs);
|
Arrays.sort(probs);
|
||||||
double normalizedP = Math.pow(10, bestProb) / sumProbs;
|
double normalizedP = Math.pow(10, bestProb) / sumProbs;
|
||||||
double normalizedQ = 1 - normalizedP;
|
|
||||||
double eps = Math.pow(10, -maxQScore/10.0);
|
double eps = Math.pow(10, -maxQScore/10.0);
|
||||||
byte qual = QualityUtils.probToQual(normalizedP, eps);
|
byte qual = QualityUtils.probToQual(normalizedP, eps);
|
||||||
if ( false ) {
|
// if ( false ) {
|
||||||
System.out.printf("Best base is %s %.8f%n", bestBase, bestProb);
|
// System.out.printf("Best base is %s %.8f%n", bestBase, bestProb);
|
||||||
System.out.printf("2nd base is %.8f%n", probs[1]);
|
// System.out.printf("2nd base is %.8f%n", probs[1]);
|
||||||
System.out.printf("normalized P %.8f%n", normalizedP);
|
// System.out.printf("normalized P %.8f%n", normalizedP);
|
||||||
System.out.printf("normalized Q %.8f%n", 1 - normalizedP);
|
// System.out.printf("normalized Q %.8f%n", 1 - normalizedP);
|
||||||
System.out.printf("max Q %2d%n", maxQScore);
|
// System.out.printf("max Q %2d%n", maxQScore);
|
||||||
System.out.printf("eps %.8f%n", eps);
|
// System.out.printf("eps %.8f%n", eps);
|
||||||
System.out.printf("encoded Q %2d%n", qual);
|
// System.out.printf("encoded Q %2d%n", qual);
|
||||||
}
|
// }
|
||||||
|
|
||||||
return new Pair<Byte, Byte>((byte)bestBase, qual);
|
return new Pair<Byte, Byte>((byte)bestBase, qual);
|
||||||
}
|
}
|
||||||
|
|
@ -176,93 +88,31 @@ public class DupUtils {
|
||||||
System.out.printf("%n");
|
System.out.printf("%n");
|
||||||
}
|
}
|
||||||
|
|
||||||
private static List<Integer> constantOffset( List<SAMRecord> reads, int i ) {
|
|
||||||
List<Integer> l = new ArrayList<Integer>(reads.size());
|
|
||||||
for ( SAMRecord read : reads ) {
|
|
||||||
l.add(i);
|
|
||||||
}
|
|
||||||
return l;
|
|
||||||
}
|
|
||||||
|
|
||||||
// TODO -- get rid of all this crappy, obsolete pileup code
|
|
||||||
|
|
||||||
@Deprecated
|
|
||||||
private static ArrayList<Byte> getBasesAsArrayList( List<SAMRecord> reads, List<Integer> offsets ) {
|
|
||||||
ArrayList<Byte> bases = new ArrayList<Byte>(reads.size());
|
|
||||||
for (byte value : getBasesAsArray(reads, offsets))
|
|
||||||
bases.add(value);
|
|
||||||
return bases;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Deprecated
|
|
||||||
private static ArrayList<Byte> getQualsAsArrayList( List<SAMRecord> reads, List<Integer> offsets ) {
|
|
||||||
ArrayList<Byte> quals = new ArrayList<Byte>(reads.size());
|
|
||||||
for (byte value : getQualsAsArray(reads, offsets))
|
|
||||||
quals.add(value);
|
|
||||||
return quals;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Deprecated
|
|
||||||
public static byte[] getBasesAsArray( List<SAMRecord> reads, List<Integer> offsets ) {
|
|
||||||
byte array[] = new byte[reads.size()];
|
|
||||||
int index = 0;
|
|
||||||
for ( int i = 0; i < reads.size(); i++ ) {
|
|
||||||
SAMRecord read = reads.get(i);
|
|
||||||
int offset = offsets.get(i);
|
|
||||||
if ( offset == -1 ) {
|
|
||||||
array[index++] = ((byte)'D');
|
|
||||||
} else {
|
|
||||||
array[index++] = read.getReadBases()[offset];
|
|
||||||
}
|
|
||||||
}
|
|
||||||
return array;
|
|
||||||
}
|
|
||||||
|
|
||||||
@Deprecated
|
|
||||||
private static byte[] getQualsAsArray( List<SAMRecord> reads, List<Integer> offsets ) {
|
|
||||||
byte array[] = new byte[reads.size()];
|
|
||||||
int index = 0;
|
|
||||||
for ( int i = 0; i < reads.size(); i++ ) {
|
|
||||||
SAMRecord read = reads.get(i);
|
|
||||||
int offset = offsets.get(i);
|
|
||||||
|
|
||||||
// skip deletion sites
|
|
||||||
if ( offset == -1 ) {
|
|
||||||
array[index++] = ((byte)0);
|
|
||||||
} else {
|
|
||||||
array[index++] = read.getBaseQualities()[offset];
|
|
||||||
}
|
|
||||||
}
|
|
||||||
return array;
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Pair<Byte, Byte> combineBaseProbs(List<SAMRecord> duplicates, int readOffset, int maxQScore) {
|
private static Pair<Byte, Byte> combineBaseProbs(List<SAMRecord> duplicates, int readOffset, int maxQScore) {
|
||||||
List<Integer> offsets = constantOffset(duplicates, readOffset);
|
GenomeLoc loc = GenomeLocParser.createGenomeLoc(duplicates.get(0));
|
||||||
ArrayList<Byte> bases = getBasesAsArrayList(duplicates, offsets);
|
ReadBackedPileup pileup = new ReadBackedPileup(loc, duplicates, readOffset);
|
||||||
ArrayList<Byte> quals = getQualsAsArrayList(duplicates, offsets);
|
|
||||||
final boolean debug = false;
|
final boolean debug = false;
|
||||||
|
|
||||||
// calculate base probs
|
// calculate base probs
|
||||||
double[] qualSums = {0.0, 0.0, 0.0, 0.0};
|
double[] qualSums = {0.0, 0.0, 0.0, 0.0};
|
||||||
if ( debug ) print4BaseQuals("start", qualSums);
|
if ( debug ) print4BaseQuals("start", qualSums);
|
||||||
for ( int i = 0; i < bases.size(); i++ ) {
|
|
||||||
char base = (char)(byte)bases.get(i);
|
for (PileupElement e : pileup ) {
|
||||||
int baseIndex = BaseUtils.simpleBaseToBaseIndex(base);
|
int baseIndex = e.getBaseIndex();
|
||||||
byte qual = quals.get(i);
|
byte qual = e.getQual();
|
||||||
double pqual = QualityUtils.qualToProb(qual);
|
double pqual = QualityUtils.qualToProb(qual);
|
||||||
for ( int j = 0; j < 4; j++) {
|
for ( int j = 0; j < 4; j++) {
|
||||||
qualSums[j] += Math.log10(j == baseIndex ? pqual : (1 - pqual)/3);
|
qualSums[j] += Math.log10(j == baseIndex ? pqual : (1 - pqual)/3);
|
||||||
}
|
}
|
||||||
if ( debug ) print4BaseQuals(String.format("%c Q%2d", base, qual), qualSums);
|
|
||||||
|
if ( debug ) print4BaseQuals(String.format("%c Q%2d", e.getBase(), qual), qualSums);
|
||||||
}
|
}
|
||||||
if ( debug ) print4BaseQuals("final", qualSums);
|
if ( debug ) print4BaseQuals("final", qualSums);
|
||||||
|
|
||||||
Pair<Byte, Byte> combined = baseProbs2BaseAndQual(qualSums, maxQScore);
|
Pair<Byte, Byte> combined = baseProbs2BaseAndQual(qualSums, maxQScore);
|
||||||
// if ( debug )
|
if ( debug ) System.out.printf("%s => %c Q%s%n", pileup.getPileupString('N'), (char)(byte)combined.getFirst(), combined.getSecond());
|
||||||
// System.out.printf("%s %s => %c Q%s%n",
|
|
||||||
// BasicPileup.basePileupAsString(duplicates, offsets),
|
|
||||||
// BasicPileup.qualPileupAsString(duplicates, offsets),
|
|
||||||
// (char)(byte)combined.getFirst(), combined.getSecond());
|
|
||||||
return combined;
|
return combined;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
@ -39,6 +39,10 @@ public class ReadBackedPileup implements Iterable<PileupElement> {
|
||||||
this(loc, readsOffsets2Pileup(reads, offsets));
|
this(loc, readsOffsets2Pileup(reads, offsets));
|
||||||
}
|
}
|
||||||
|
|
||||||
|
public ReadBackedPileup(GenomeLoc loc, List<SAMRecord> reads, int offset ) {
|
||||||
|
this(loc, readsOffsets2Pileup(reads, offset));
|
||||||
|
}
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Create a new version of a read backed pileup at loc without any aligned reads
|
* Create a new version of a read backed pileup at loc without any aligned reads
|
||||||
*
|
*
|
||||||
|
|
@ -122,6 +126,25 @@ public class ReadBackedPileup implements Iterable<PileupElement> {
|
||||||
return pileup;
|
return pileup;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Helper routine for converting reads and a single offset to a PileupElement list.
|
||||||
|
*
|
||||||
|
* @param reads
|
||||||
|
* @param offset
|
||||||
|
* @return
|
||||||
|
*/
|
||||||
|
private static ArrayList<PileupElement> readsOffsets2Pileup(List<SAMRecord> reads, int offset ) {
|
||||||
|
if ( reads == null ) throw new StingException("Illegal null read list in ReadBackedPileup2");
|
||||||
|
if ( offset < 0 ) throw new StingException("Illegal offset < 0 ReadBackedPileup2");
|
||||||
|
|
||||||
|
ArrayList<PileupElement> pileup = new ArrayList<PileupElement>(reads.size());
|
||||||
|
for ( int i = 0; i < reads.size(); i++ ) {
|
||||||
|
pileup.add( new PileupElement( reads.get(i), offset ) );
|
||||||
|
}
|
||||||
|
|
||||||
|
return pileup;
|
||||||
|
}
|
||||||
|
|
||||||
// --------------------------------------------------------
|
// --------------------------------------------------------
|
||||||
//
|
//
|
||||||
// Special 'constructors'
|
// Special 'constructors'
|
||||||
|
|
|
||||||
|
|
@ -8,7 +8,7 @@ import java.util.Arrays;
|
||||||
import java.util.List;
|
import java.util.List;
|
||||||
|
|
||||||
public class DuplicatesWalkersIntegrationTest extends WalkerTest {
|
public class DuplicatesWalkersIntegrationTest extends WalkerTest {
|
||||||
public void testClipper(String name, String args, String md5) {
|
public void testCounter(String name, String args, String md5) {
|
||||||
WalkerTestSpec spec = new WalkerTestSpec(
|
WalkerTestSpec spec = new WalkerTestSpec(
|
||||||
"-T CountDuplicates " +
|
"-T CountDuplicates " +
|
||||||
"-R /seq/references/Homo_sapiens_assembly18/v0/Homo_sapiens_assembly18.fasta " +
|
"-R /seq/references/Homo_sapiens_assembly18/v0/Homo_sapiens_assembly18.fasta " +
|
||||||
|
|
@ -20,6 +20,21 @@ public class DuplicatesWalkersIntegrationTest extends WalkerTest {
|
||||||
List<File> result = executeTest(name, spec).getFirst();
|
List<File> result = executeTest(name, spec).getFirst();
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test public void testChr110Mb() { testClipper("testChr1-10mb", "-L chr1:1-10,000,000 --quiet", ""); }
|
@Test public void testChr110Mb() { testCounter("testChr1-10mb", "-L chr1:1-10,000,000 --quiet", "fa8bfdd0b62a13a543bae90f7c674db7"); }
|
||||||
@Test public void testIntervalVerbose() { testClipper("testIntervalVerbose", "-L chr1:6,527,154-6,528,292", ""); }
|
@Test public void testIntervalVerbose() { testCounter("testIntervalVerbose", "-L chr1:6,527,154-6,528,292", "1ebcc10b85af16805a54391721776657"); }
|
||||||
|
|
||||||
|
public void testCombiner(String name, String args, String md51, String md52) {
|
||||||
|
WalkerTestSpec spec = new WalkerTestSpec(
|
||||||
|
"-T CombineDuplicates " +
|
||||||
|
"-R /seq/references/Homo_sapiens_assembly18/v0/Homo_sapiens_assembly18.fasta " +
|
||||||
|
"-I /humgen/gsa-hpprojects/GATK/data/Validation_Data/TCGA-06-0188.aligned.duplicates_marked.bam " +
|
||||||
|
"-o %s --outputBAM %s " + args,
|
||||||
|
2, // just one output file
|
||||||
|
Arrays.asList("tmp", "bam"),
|
||||||
|
Arrays.asList(md51, md52));
|
||||||
|
List<File> result = executeTest(name, spec).getFirst();
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test public void testIntervalCombine() { testCombiner("testIntervalCombine", "-L chr1:6,527,154-6,528,292 -maxQ 50", "d41d8cd98f00b204e9800998ecf8427e", "bbde777437fcf4386687e0d11547d0f3"); }
|
||||||
|
@Test public void testIntervalCombineQ60() { testCombiner("testIntervalCombine", "-L chr1:6,527,154-6,528,292 -maxQ 60", "d41d8cd98f00b204e9800998ecf8427e", "93993440eb0455208c7f9881d1115a3c"); }
|
||||||
}
|
}
|
||||||
Loading…
Reference in New Issue