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/*
* Copyright (C) 2009-2010 Institute for Computational Biomedicine,
* Weill Medical College of Cornell University
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package org.campagnelab.goby.modes;
import com.martiansoftware.jsap.JSAPException;
import com.martiansoftware.jsap.JSAPResult;
import org.campagnelab.goby.algorithmic.data.Segment;
import org.campagnelab.goby.algorithmic.data.Annotation;
import org.campagnelab.goby.alignments.ConcatAlignmentReader;
import org.campagnelab.goby.alignments.AlignmentReaderImpl;
import org.campagnelab.goby.counts.AnyTransitionCountsIterator;
import org.campagnelab.goby.counts.CountsArchiveReader;
import org.campagnelab.goby.counts.CountsReaderI;
import org.campagnelab.goby.counts.Peak;
import org.campagnelab.goby.counts.PeakAggregator;
import edu.cornell.med.icb.identifier.DoubleIndexedIdentifier;
import edu.cornell.med.icb.identifier.IndexedIdentifier;
import it.unimi.dsi.fastutil.objects.Object2ObjectMap;
import it.unimi.dsi.fastutil.objects.Object2ObjectOpenHashMap;
import it.unimi.dsi.fastutil.objects.ObjectArrayList;
import it.unimi.dsi.fastutil.objects.ObjectList;
import it.unimi.dsi.fastutil.objects.ObjectListIterator;
import it.unimi.dsi.fastutil.objects.ObjectOpenHashSet;
import it.unimi.dsi.fastutil.objects.ObjectSet;
import org.apache.commons.io.IOUtils;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.Arrays;
import java.util.Collections;
import java.util.Set;
/**
* Write annotations corresponding to a consolidation of peaks accross each sequence in
* the count archives.
*
* @author Jaaved Mohammed
*/
public class CountsArchiveToUnionPeaksAnnotationMode extends AbstractGobyMode {
/**
* The mode name.
*/
private static final String MODE_NAME = "count-archive-to-peak-union-annotations";
/**
* The mode description help text.
*/
private static final String MODE_DESCRIPTION = "Write annotations corresponding "
+ "to the union of peaks accross each sequence in the count archives.";
/**
* The input files. Must reduce to alignment basenames.
*/
private String[] inputFiles;
/**
* The output file.
*/
private String outputFile;
private boolean filterByReferenceNames;
private ObjectSet<String> includeReferenceNames;
private String alternativeCountsName;
private int detectionThreshold;
@Override
public String getModeName() {
return MODE_NAME;
}
@Override
public String getModeDescription() {
return MODE_DESCRIPTION;
}
/**
* Configure.
*
* @param args command line arguments
* @return this object for chaining
* @throws IOException error parsing
* @throws JSAPException error parsing
*/
@Override
public AbstractCommandLineMode configure(final String[] args) throws IOException, JSAPException {
final JSAPResult jsapResult = parseJsapArguments(args);
inputFiles = AlignmentReaderImpl.getBasenames(jsapResult.getStringArray("input"));
outputFile = jsapResult.getString("output");
final String includeReferenceNameCommas = jsapResult.getString("include-reference-names");
includeReferenceNames = new ObjectOpenHashSet<String>();
if (includeReferenceNameCommas != null) {
includeReferenceNames.addAll(Arrays.asList(includeReferenceNameCommas.split("[,]")));
System.out.println("Will write counts for the following sequences:");
for (final String name : includeReferenceNames) {
System.out.println(name);
}
filterByReferenceNames = true;
}
alternativeCountsName = jsapResult.getString("alternative-count-archive");
detectionThreshold = jsapResult.getInt("threshold");
System.out.println("Peak Detection Threshold is " + detectionThreshold);
return this;
}
/**
* Run the mode.
*
* @throws java.io.IOException error reading / writing
*/
@Override
public void execute() throws IOException {
final String[] basenames = AlignmentReaderImpl.getBasenames(inputFiles);
/**
* TODO: Determine of adjustQueryIndices should be the default of true.
*/
final ConcatAlignmentReader reader = new ConcatAlignmentReader(basenames);
reader.readHeader();
final int numberOfReferences = reader.getNumberOfTargets();
final IndexedIdentifier referenceIds = reader.getTargetIdentifiers();
final DoubleIndexedIdentifier backwards = new DoubleIndexedIdentifier(referenceIds);
reader.close();
// read counts archive:
final CountsArchiveReader[] countArchiveReaders = new CountsArchiveReader[inputFiles.length];
int i = 0;
for (final String inputFile : basenames) {
countArchiveReaders[i++] = new CountsArchiveReader(inputFile, alternativeCountsName);
}
// for each reference sequence, generate annotations for the union of peaks across all
// the input samples. More precisely, we generate an annotation across the widest peak
// that can be called with the sum of counts across all the input samples.
final Object2ObjectMap<String, ObjectList<Segment>> allSegments = new Object2ObjectOpenHashMap<String, ObjectList<Segment>>();
for (int referenceIndex = 0; referenceIndex < numberOfReferences; referenceIndex++) {
final String referenceId = backwards.getId(referenceIndex).toString();
boolean processThisSequence = true;
if (filterByReferenceNames && !includeReferenceNames.contains(referenceId)) {
processThisSequence = false;
}
if (processThisSequence) {
System.out.println("Processing reference " + referenceId);
final CountsReaderI[] readers = new CountsReaderI[countArchiveReaders.length];
int readerIndex = 0;
for (final CountsArchiveReader archive : countArchiveReaders) {
if (archive.getIdentifier(referenceIndex) != null) {
readers[readerIndex++] = archive.getCountReader(referenceIndex);
if (allSegments.get(referenceId) == null) {
allSegments.put(referenceId, new ObjectArrayList<Segment>());
}
}
}
// Reads in all the files and defines one sortedPositionIterator over all input files
final AnyTransitionCountsIterator iterator = new AnyTransitionCountsIterator(readers);
// Given all input files and one sortedPositionIterator over them, start collecting (possibly overlapping)
// peaks across all input files
final PeakAggregator peakAggregator = new PeakAggregator(iterator);
peakAggregator.setPeakDetectionThreshold(detectionThreshold);
while (peakAggregator.hasNext()) {
final Peak peak = peakAggregator.next();
final ObjectList<Segment> segmentsList = allSegments.get(referenceId);
segmentsList.add(new Segment(peak.start, peak.start + peak.length, "id", "either"));
}
}
}
// Consolidate all overlapping peaks across all input files by taking the
// union of overlapping peaks
System.out.println("Consolidating overlapping peaks over all counts files.");
final Set<String> chromsomes = allSegments.keySet();
ObjectList<Segment> consensusList = null;
for (final String chromsome : chromsomes) {
consensusList = new ObjectArrayList<Segment>();
final ObjectList<Segment> segmentsList = allSegments.get(chromsome);
// Sort the segments to make consolidation by union easier.
Collections.sort(segmentsList);
System.out.println(String.format("Reference %s: Starting with %d segments.", chromsome, segmentsList.size()));
ObjectListIterator<Segment> segIterator = segmentsList.listIterator();
Segment segment = null;
Segment nextSeg = null;
Segment consolidatedSeg = null;
if (segIterator.hasNext()) {
segment = segIterator.next();
}
while (segment != null) {
if (segIterator.hasNext()) {
nextSeg = segIterator.next();
while ((nextSeg != null) && segment.overlap(nextSeg)) {
// merge the two segments
consolidatedSeg = segment.merge(nextSeg);
segment = consolidatedSeg;
if (segIterator.hasNext()) {
nextSeg = segIterator.next();
} else {
nextSeg = null;
}
}
}
consensusList.add(segment);
segment = nextSeg;
nextSeg = null;
}
Collections.sort(consensusList);
segmentsList.clear();
segmentsList.addAll(consensusList);
System.out.println(String.format("Reference %s: Finished with %d segments.", chromsome, segmentsList.size()));
// Transform the segments back to annotations for easy writing to file
final ObjectList<Annotation> annotationList = new ObjectArrayList<Annotation>();
segIterator = segmentsList.listIterator();
while (segIterator.hasNext()) {
segment = segIterator.next();
final Annotation annot = new Annotation(chromsome + "." + segment.getStart() + "." + segment.getLength(), chromsome);
annot.addSegment(segment);
annotationList.add(annot);
}
// Write the list of annotations to file
writeAnnotations(outputFile, annotationList, true);
}
}
public static void writeAnnotations(final String outputFileName, final ObjectList<Annotation> annotationList, final boolean append) {
final File outputFile = new File(outputFileName);
PrintWriter writer = null;
try {
if (!outputFile.exists()) {
writer = new PrintWriter(outputFile);
writer.write("Chromosome_Name\tStrand\tPrimary_ID\tSecondary_ID\tTranscript_Start\tTranscript_End\n");
} else {
writer = new PrintWriter(new FileOutputStream(outputFile, append));
}
final ObjectListIterator<Annotation> annotIterator = annotationList.listIterator();
while (annotIterator.hasNext()) {
final Annotation annotation = annotIterator.next();
annotation.write(writer);
}
} catch (FileNotFoundException fnfe) {
System.err.println("Caught exception in writeAnnotations: " + fnfe.getMessage());
System.exit(1);
} finally {
IOUtils.closeQuietly(writer);
}
}
/**
* Main method.
*
* @param args command line args.
* @throws com.martiansoftware.jsap.JSAPException
* error parsing
* @throws java.io.IOException error parsing or executing.
*/
public static void main(final String[] args) throws JSAPException, IOException {
new CountsArchiveToUnionPeaksAnnotationMode().configure(args).execute();
}
}
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