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Example 1 with IntervalTree

use of htsjdk.samtools.util.IntervalTree in project jvarkit by lindenb.

the class Biostar81455 method doWork.

@Override
public int doWork(List<String> args) {
    BufferedReader r = null;
    String line;
    PrintStream out = null;
    final Pattern tab = Pattern.compile("[\t]");
    try {
        if (this.kgUri == null || this.kgUri.trim().isEmpty()) {
            LOG.error("undefined kguri");
            return -1;
        }
        LOG.info("readubf " + kgUri);
        this.kgMap = KnownGene.loadUriAsIntervalTreeMap(this.kgUri, (kg) -> kg.getExonCount() != 0);
    } catch (final Exception err) {
        LOG.error(err);
        return -1;
    } finally {
        CloserUtil.close(r);
    }
    try {
        r = super.openBufferedReader(oneFileOrNull(args));
        out = openFileOrStdoutAsPrintStream(this.outputFile);
        while ((line = r.readLine()) != null) {
            if (line.startsWith("#")) {
                out.println(line);
                continue;
            }
            boolean found = false;
            String[] tokens = tab.split(line);
            int pos0 = Integer.parseInt(tokens[1]);
            final IntervalTree<List<KnownGene>> kgs = kgMap.debugGetTree(tokens[0]);
            if (kgs == null) {
                LOG.info("no gene found in chromosome " + tokens[0] + " (check chrom prefix?)");
            } else {
                KnownGene bestGene = null;
                for (Iterator<IntervalTree.Node<List<KnownGene>>> iter = kgs.iterator(); iter.hasNext(); ) {
                    for (KnownGene kg : iter.next().getValue()) {
                        if (bestGene == null || Math.abs(distance(pos0, kg)) < Math.abs(distance(pos0, bestGene))) {
                            bestGene = kg;
                        }
                    }
                }
                if (bestGene != null) {
                    // get all transcritpts
                    final List<KnownGene> overlapKg = new ArrayList<>();
                    for (final List<KnownGene> lkg : kgMap.getOverlapping(new Interval(bestGene.getChromosome(), bestGene.getTxStart() + 1, bestGene.getTxEnd()))) {
                        overlapKg.addAll(lkg);
                    }
                    for (final KnownGene kg : overlapKg) {
                        KnownGene.Exon bestExon = null;
                        for (KnownGene.Exon exon : kg.getExons()) {
                            if (bestExon == null || Math.abs(distance(pos0, exon)) < Math.abs(distance(pos0, bestExon))) {
                                bestExon = exon;
                            }
                        }
                        if (bestExon != null) {
                            out.println(line + "\t" + kg.getName() + "\t" + kg.getTxStart() + "\t" + kg.getTxEnd() + "\t" + kg.getStrand() + "\t" + bestExon.getName() + "\t" + bestExon.getStart() + "\t" + bestExon.getEnd() + "\t" + distance(pos0, bestExon));
                            found = true;
                        }
                    }
                }
            }
            if (!found) {
                out.println(line + "\tNULL");
            }
        }
        return RETURN_OK;
    } catch (Exception err) {
        LOG.error(err);
        return -1;
    } finally {
        CloserUtil.close(r);
        CloserUtil.close(out);
    }
}
Also used : PrintStream(java.io.PrintStream) Iterator(java.util.Iterator) Program(com.github.lindenb.jvarkit.util.jcommander.Program) Parameter(com.beust.jcommander.Parameter) IntervalTreeMap(htsjdk.samtools.util.IntervalTreeMap) Logger(com.github.lindenb.jvarkit.util.log.Logger) IntervalTree(htsjdk.samtools.util.IntervalTree) Term(com.github.lindenb.semontology.Term) KnownGene(com.github.lindenb.jvarkit.util.ucsc.KnownGene) File(java.io.File) ArrayList(java.util.ArrayList) Interval(htsjdk.samtools.util.Interval) List(java.util.List) Launcher(com.github.lindenb.jvarkit.util.jcommander.Launcher) BufferedReader(java.io.BufferedReader) Pattern(java.util.regex.Pattern) CloserUtil(htsjdk.samtools.util.CloserUtil) PrintStream(java.io.PrintStream) Pattern(java.util.regex.Pattern) ArrayList(java.util.ArrayList) BufferedReader(java.io.BufferedReader) ArrayList(java.util.ArrayList) List(java.util.List) KnownGene(com.github.lindenb.jvarkit.util.ucsc.KnownGene) Interval(htsjdk.samtools.util.Interval)

Example 2 with IntervalTree

use of htsjdk.samtools.util.IntervalTree in project ASCIIGenome by dariober.

the class TrackPileup method update.

/*       M E T H O D S        */
@SuppressWarnings({ "rawtypes", "unchecked" })
@Override
public void update() throws InvalidGenomicCoordsException, IOException {
    if (this.getyMaxLines() == 0) {
        return;
    }
    String chrom = this.getGc().getChrom();
    if (!this.loci.containsKey(chrom)) {
        this.loci.put(chrom, new HashMap<Integer, Locus>());
    }
    if (!this.zeroDepthIntervals.containsKey(chrom)) {
        this.zeroDepthIntervals.put(chrom, new IntervalTree());
    }
    // Check cache is not growing too much
    if (this.loci.get(chrom).keySet().size() > 500000) {
        this.loci.get(chrom).clear();
        this.zeroDepthIntervals.get(chrom).clear();
    }
    // Find the positions that we haven't visited before:
    List<Integer> missingPos = new ArrayList<Integer>();
    for (int pos = this.getGc().getFrom(); pos <= this.getGc().getTo(); pos++) {
        if (!this.loci.get(chrom).containsKey(pos) && !this.zeroDepthIntervals.get(chrom).overlappers(pos, pos).hasNext()) {
            missingPos.add(pos);
        }
    }
    for (List<Integer> gap : mergePositionsInIntervals(missingPos)) {
        int qryFrom = gap.get(0);
        int qryTo = gap.get(1);
        SamReader samReader = Utils.getSamReader(this.getWorkFilename());
        List<Boolean> passFilter = this.filterReads(samReader, chrom, qryFrom, qryTo);
        samReader = Utils.getSamReader(this.getWorkFilename());
        Iterator<SAMRecord> sam = samReader.query(chrom, qryFrom, qryTo, false);
        ListIterator<Boolean> pass = passFilter.listIterator();
        while (sam.hasNext()) {
            SAMRecord rec = sam.next();
            if (pass.next()) {
                this.add(rec, qryFrom, qryTo, this.loci.get(chrom));
            }
        }
        // Now add the loci that have been collected in this last update
        List<Integer> zeroDepthPos = new ArrayList<Integer>();
        for (int pos = qryFrom; pos <= qryTo; pos++) {
            if (!this.loci.get(chrom).containsKey(pos)) {
                zeroDepthPos.add(pos);
            }
        }
        List<List<Integer>> zeroDepthGaps = mergePositionsInIntervals(zeroDepthPos);
        for (List<Integer> z : zeroDepthGaps) {
            this.zeroDepthIntervals.get(chrom).put(z.get(0), z.get(1), null);
        }
    }
    List<Float> screenScores = this.prepareScreenScores();
    this.setScreenScores(screenScores);
}
Also used : ArrayList(java.util.ArrayList) SamReader(htsjdk.samtools.SamReader) SAMRecord(htsjdk.samtools.SAMRecord) IntervalTree(htsjdk.samtools.util.IntervalTree) ArrayList(java.util.ArrayList) List(java.util.List)

Example 3 with IntervalTree

use of htsjdk.samtools.util.IntervalTree in project jvarkit by lindenb.

the class Biostar78285 method doWork.

@Override
public int doWork(final List<String> args) {
    if (this.gc_percent_window < 1) {
        LOG.error("Bad GC% window size:" + this.gc_percent_window);
        return -1;
    }
    final List<File> bamFiles = IOUtil.unrollFiles(args.stream().map(F -> new File(F)).collect(Collectors.toCollection(HashSet::new)), ".bam");
    SAMSequenceDictionary dict = null;
    final List<SamReader> samReaders = new ArrayList<>();
    final List<CloseableIterator<SAMRecord>> samIterators = new ArrayList<>();
    final TreeSet<String> samples = new TreeSet<>();
    final String DEFAULT_PARTITION = "UNDEFINED_PARTITION";
    IndexedFastaSequenceFile indexedFastaSequenceFile = null;
    VariantContextWriter out = null;
    try {
        final SamReaderFactory samReaderFactory = SamReaderFactory.makeDefault().validationStringency(ValidationStringency.LENIENT);
        for (final File bamFile : bamFiles) {
            LOG.info("Opening " + bamFile);
            final SamReader samReader = samReaderFactory.open(bamFile);
            samReaders.add(samReader);
            final SAMFileHeader header = samReader.getFileHeader();
            if (header == null) {
                LOG.error("No header in " + bamFile);
                return -1;
            }
            if (header.getSortOrder() != SortOrder.coordinate) {
                LOG.error("Sam file " + bamFile + " is not sorted on coordinate :" + header.getSortOrder());
                return -1;
            }
            samples.addAll(header.getReadGroups().stream().map(RG -> this.partition.apply(RG, DEFAULT_PARTITION)).collect(Collectors.toSet()));
            final SAMSequenceDictionary currDict = header.getSequenceDictionary();
            if (currDict == null) {
                LOG.error("SamFile doesn't contain a SAMSequenceDictionary : " + bamFile);
                return -1;
            }
            if (dict == null) {
                dict = currDict;
            } else if (!SequenceUtil.areSequenceDictionariesEqual(dict, currDict)) {
                LOG.error(JvarkitException.DictionariesAreNotTheSame.getMessage(dict, currDict));
                return -1;
            }
        }
        if (samReaders.isEmpty()) {
            LOG.error("no bam");
            return -1;
        }
        if (dict == null) {
            LOG.error("no dictionary");
            return -1;
        }
        final QueryInterval[] intervals;
        if (this.captureBed != null) {
            LOG.info("Opening " + this.captureBed);
            ContigNameConverter.setDefaultAliases(dict);
            final List<QueryInterval> L = new ArrayList<>();
            final BedLineCodec codec = new BedLineCodec();
            final LineIterator li = IOUtils.openFileForLineIterator(this.captureBed);
            while (li.hasNext()) {
                final BedLine bed = codec.decode(li.next());
                if (bed == null)
                    continue;
                final QueryInterval q = bed.toQueryInterval(dict);
                L.add(q);
            }
            CloserUtil.close(li);
            intervals = QueryInterval.optimizeIntervals(L.toArray(new QueryInterval[L.size()]));
        } else {
            intervals = null;
        }
        for (final SamReader samReader : samReaders) {
            LOG.info("querying " + samReader.getResourceDescription());
            final CloseableIterator<SAMRecord> iter;
            if (intervals == null) {
                iter = samReader.iterator();
            } else {
                iter = samReader.queryOverlapping(intervals);
            }
            samIterators.add(new FilterIterator<SAMRecord>(iter, R -> !R.getReadUnmappedFlag() && !filter.filterOut(R)));
        }
        if (this.refFile != null) {
            LOG.info("opening " + refFile);
            indexedFastaSequenceFile = new IndexedFastaSequenceFile(this.refFile);
            final SAMSequenceDictionary refdict = indexedFastaSequenceFile.getSequenceDictionary();
            ContigNameConverter.setDefaultAliases(refdict);
            if (refdict == null) {
                throw new JvarkitException.FastaDictionaryMissing(this.refFile);
            }
            if (!SequenceUtil.areSequenceDictionariesEqual(dict, refdict)) {
                LOG.error(JvarkitException.DictionariesAreNotTheSame.getMessage(dict, refdict));
                return -1;
            }
        }
        out = openVariantContextWriter(this.outputFile);
        final Set<VCFHeaderLine> metaData = new HashSet<>();
        VCFStandardHeaderLines.addStandardFormatLines(metaData, true, VCFConstants.DEPTH_KEY, VCFConstants.GENOTYPE_KEY);
        VCFStandardHeaderLines.addStandardInfoLines(metaData, true, VCFConstants.DEPTH_KEY);
        metaData.add(new VCFFormatHeaderLine("DF", 1, VCFHeaderLineType.Integer, "Number of Reads on plus strand"));
        metaData.add(new VCFFormatHeaderLine("DR", 1, VCFHeaderLineType.Integer, "Number of Reads on minus strand"));
        metaData.add(new VCFInfoHeaderLine("AVG_DP", 1, VCFHeaderLineType.Float, "Mean depth"));
        metaData.add(new VCFInfoHeaderLine("MEDIAN_DP", 1, VCFHeaderLineType.Float, "Median depth"));
        metaData.add(new VCFInfoHeaderLine("MIN_DP", 1, VCFHeaderLineType.Integer, "Min depth"));
        metaData.add(new VCFInfoHeaderLine("MAX_DP", 1, VCFHeaderLineType.Integer, "Max depth"));
        metaData.add(new VCFHeaderLine(Biostar78285.class.getSimpleName() + ".SamFilter", this.filter.toString()));
        for (final Integer treshold : this.minDepthTresholds) {
            metaData.add(new VCFFilterHeaderLine("DP_LT_" + treshold, "All  genotypes have DP< " + treshold));
            metaData.add(new VCFInfoHeaderLine("NUM_DP_LT_" + treshold, 1, VCFHeaderLineType.Integer, "Number of genotypes having DP< " + treshold));
            metaData.add(new VCFInfoHeaderLine("FRACT_DP_LT_" + treshold, 1, VCFHeaderLineType.Float, "Fraction of genotypes having DP< " + treshold));
        }
        if (indexedFastaSequenceFile != null) {
            metaData.add(new VCFInfoHeaderLine("GC_PERCENT", 1, VCFHeaderLineType.Integer, "GC% window_size:" + this.gc_percent_window));
        }
        final List<Allele> refAlleles = Collections.singletonList(Allele.create("N", true));
        final List<Allele> NO_CALLS = Arrays.asList(Allele.NO_CALL, Allele.NO_CALL);
        final VCFHeader vcfHeader = new VCFHeader(metaData, samples);
        vcfHeader.setSequenceDictionary(dict);
        out.writeHeader(vcfHeader);
        final SAMRecordCoordinateComparator samRecordCoordinateComparator = new SAMRecordCoordinateComparator();
        final PeekableIterator<SAMRecord> peekIter = new PeekableIterator<>(new MergingIterator<>((R1, R2) -> samRecordCoordinateComparator.fileOrderCompare(R1, R2), samIterators));
        final SAMSequenceDictionaryProgress progress = new SAMSequenceDictionaryProgress(dict);
        for (final SAMSequenceRecord ssr : dict.getSequences()) {
            final IntervalTree<Boolean> capturePos;
            if (intervals != null) {
                if (!Arrays.stream(intervals).anyMatch(I -> I.referenceIndex == ssr.getSequenceIndex())) {
                    continue;
                }
                capturePos = new IntervalTree<>();
                Arrays.stream(intervals).filter(I -> I.referenceIndex == ssr.getSequenceIndex()).forEach(I -> capturePos.put(I.start, I.end, true));
                ;
            } else {
                capturePos = null;
            }
            final GenomicSequence genomicSequence;
            if (indexedFastaSequenceFile != null && indexedFastaSequenceFile.getSequenceDictionary().getSequence(ssr.getSequenceName()) != null) {
                genomicSequence = new GenomicSequence(indexedFastaSequenceFile, ssr.getSequenceName());
            } else {
                genomicSequence = null;
            }
            final List<SAMRecord> buffer = new ArrayList<>();
            for (int ssr_pos = 1; ssr_pos <= ssr.getSequenceLength(); ++ssr_pos) {
                if (capturePos != null && !capturePos.overlappers(ssr_pos, ssr_pos).hasNext())
                    continue;
                progress.watch(ssr.getSequenceName(), ssr_pos);
                while (peekIter.hasNext()) {
                    final SAMRecord rec = peekIter.peek();
                    if (rec.getReadUnmappedFlag()) {
                        // consumme
                        peekIter.next();
                        continue;
                    }
                    if (this.filter.filterOut(rec)) {
                        // consumme
                        peekIter.next();
                        continue;
                    }
                    if (rec.getReferenceIndex() < ssr.getSequenceIndex()) {
                        throw new IllegalStateException("should not happen");
                    }
                    if (rec.getReferenceIndex() > ssr.getSequenceIndex()) {
                        break;
                    }
                    if (rec.getAlignmentEnd() < ssr_pos) {
                        throw new IllegalStateException("should not happen");
                    }
                    if (rec.getAlignmentStart() > ssr_pos) {
                        break;
                    }
                    buffer.add(peekIter.next());
                }
                int x = 0;
                while (x < buffer.size()) {
                    final SAMRecord R = buffer.get(x);
                    if (R.getReferenceIndex() != ssr.getSequenceIndex() || R.getAlignmentEnd() < ssr_pos) {
                        buffer.remove(x);
                    } else {
                        x++;
                    }
                }
                final Map<String, PosInfo> count = samples.stream().map(S -> new PosInfo(S)).collect(Collectors.toMap(P -> P.sample, Function.identity()));
                for (final SAMRecord rec : buffer) {
                    if (rec.getReferenceIndex() != ssr.getSequenceIndex())
                        throw new IllegalStateException("should not happen");
                    if (rec.getAlignmentEnd() < ssr_pos)
                        continue;
                    if (rec.getAlignmentStart() > ssr_pos)
                        continue;
                    final Cigar cigar = rec.getCigar();
                    if (cigar == null)
                        continue;
                    int refpos = rec.getAlignmentStart();
                    final String sample = this.partition.getPartion(rec, DEFAULT_PARTITION);
                    for (final CigarElement ce : cigar.getCigarElements()) {
                        if (refpos > ssr_pos)
                            break;
                        final CigarOperator op = ce.getOperator();
                        if (op.consumesReferenceBases()) {
                            if (op.consumesReadBases()) {
                                if (refpos <= ssr_pos && ssr_pos <= refpos + ce.getLength()) {
                                    final PosInfo posInfo = count.get(sample);
                                    if (posInfo != null) {
                                        posInfo.dp++;
                                        if (rec.getReadNegativeStrandFlag()) {
                                            posInfo.negative_strand++;
                                        }
                                    }
                                    break;
                                }
                            }
                            refpos += ce.getLength();
                        }
                    }
                }
                final VariantContextBuilder vcb = new VariantContextBuilder();
                final Set<String> filters = new HashSet<>();
                vcb.chr(ssr.getSequenceName());
                vcb.start(ssr_pos);
                vcb.stop(ssr_pos);
                if (genomicSequence == null) {
                    vcb.alleles(refAlleles);
                } else {
                    vcb.alleles(Collections.singletonList(Allele.create((byte) genomicSequence.charAt(ssr_pos - 1), true)));
                    final GenomicSequence.GCPercent gcp = genomicSequence.getGCPercent(Math.max((ssr_pos - 1) - this.gc_percent_window, 0), Math.min(ssr_pos + this.gc_percent_window, ssr.getSequenceLength()));
                    if (!gcp.isEmpty()) {
                        vcb.attribute("GC_PERCENT", gcp.getGCPercentAsInteger());
                    }
                }
                vcb.attribute(VCFConstants.DEPTH_KEY, (int) count.values().stream().mapToInt(S -> S.dp).sum());
                vcb.genotypes(count.values().stream().map(C -> new GenotypeBuilder(C.sample, NO_CALLS).DP((int) C.dp).attribute("DR", C.negative_strand).attribute("DF", C.dp - C.negative_strand).make()).collect(Collectors.toList()));
                for (final Integer treshold : this.minDepthTresholds) {
                    final int count_lt = (int) count.values().stream().filter(S -> S.dp < treshold).count();
                    if (count_lt == samples.size()) {
                        filters.add("DP_LT_" + treshold);
                    }
                    vcb.attribute("NUM_DP_LT_" + treshold, count_lt);
                    if (!samples.isEmpty()) {
                        vcb.attribute("FRACT_DP_LT_" + treshold, count_lt / (float) samples.size());
                    }
                }
                if (!samples.isEmpty()) {
                    final int[] array = count.values().stream().mapToInt(S -> S.dp).toArray();
                    vcb.attribute("AVG_DP", Percentile.average().evaluate(array));
                    vcb.attribute("MEDIAN_DP", Percentile.median().evaluate(array));
                    vcb.attribute("MIN_DP", (int) Percentile.min().evaluate(array));
                    vcb.attribute("MAX_DP", (int) Percentile.max().evaluate(array));
                }
                if (filters.isEmpty()) {
                    vcb.passFilters();
                } else {
                    vcb.filters(filters);
                }
                out.add(vcb.make());
            }
        }
        progress.finish();
        peekIter.close();
        out.close();
        out = null;
        return 0;
    } catch (final Exception err) {
        LOG.error(err);
        return -1;
    } finally {
        CloserUtil.close(out);
        CloserUtil.close(samIterators);
        CloserUtil.close(samReaders);
        CloserUtil.close(indexedFastaSequenceFile);
    }
}
Also used : Allele(htsjdk.variant.variantcontext.Allele) Arrays(java.util.Arrays) Program(com.github.lindenb.jvarkit.util.jcommander.Program) LineIterator(htsjdk.tribble.readers.LineIterator) IOUtil(htsjdk.samtools.util.IOUtil) VCFStandardHeaderLines(htsjdk.variant.vcf.VCFStandardHeaderLines) VCFHeader(htsjdk.variant.vcf.VCFHeader) CigarElement(htsjdk.samtools.CigarElement) SAMSequenceDictionaryProgress(com.github.lindenb.jvarkit.util.picard.SAMSequenceDictionaryProgress) CigarOperator(htsjdk.samtools.CigarOperator) SAMRecordPartition(com.github.lindenb.jvarkit.util.samtools.SAMRecordPartition) GenomicSequence(com.github.lindenb.jvarkit.util.picard.GenomicSequence) SAMFileHeader(htsjdk.samtools.SAMFileHeader) SortOrder(htsjdk.samtools.SAMFileHeader.SortOrder) Map(java.util.Map) PeekableIterator(htsjdk.samtools.util.PeekableIterator) CloserUtil(htsjdk.samtools.util.CloserUtil) GenotypeBuilder(htsjdk.variant.variantcontext.GenotypeBuilder) 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JvarkitException(com.github.lindenb.jvarkit.lang.JvarkitException) Allele(htsjdk.variant.variantcontext.Allele) Cigar(htsjdk.samtools.Cigar) VariantContextBuilder(htsjdk.variant.variantcontext.VariantContextBuilder) PeekableIterator(htsjdk.samtools.util.PeekableIterator)

Aggregations

IntervalTree (htsjdk.samtools.util.IntervalTree)3 ArrayList (java.util.ArrayList)3 List (java.util.List)3 Parameter (com.beust.jcommander.Parameter)2 Launcher (com.github.lindenb.jvarkit.util.jcommander.Launcher)2 Program (com.github.lindenb.jvarkit.util.jcommander.Program)2 Logger (com.github.lindenb.jvarkit.util.log.Logger)2 SAMRecord (htsjdk.samtools.SAMRecord)2 SamReader (htsjdk.samtools.SamReader)2 CloserUtil (htsjdk.samtools.util.CloserUtil)2 IOUtils (com.github.lindenb.jvarkit.io.IOUtils)1 JvarkitException (com.github.lindenb.jvarkit.lang.JvarkitException)1 Percentile (com.github.lindenb.jvarkit.math.stats.Percentile)1 BedLine (com.github.lindenb.jvarkit.util.bio.bed.BedLine)1 BedLineCodec (com.github.lindenb.jvarkit.util.bio.bed.BedLineCodec)1 ContigNameConverter (com.github.lindenb.jvarkit.util.bio.fasta.ContigNameConverter)1 FilterIterator (com.github.lindenb.jvarkit.util.iterator.FilterIterator)1 MergingIterator (com.github.lindenb.jvarkit.util.iterator.MergingIterator)1 GenomicSequence (com.github.lindenb.jvarkit.util.picard.GenomicSequence)1 SAMSequenceDictionaryProgress (com.github.lindenb.jvarkit.util.picard.SAMSequenceDictionaryProgress)1