1 // Copyright (C) The Lightning Authors. All rights reserved.
3 // SPDX-License-Identifier: AGPL-3.0
28 "git.arvados.org/arvados.git/sdk/go/arvados"
29 "github.com/arvados/lightning/hgvs"
30 "github.com/kshedden/gonpy"
31 log "github.com/sirupsen/logrus"
32 "golang.org/x/crypto/blake2b"
35 type sliceNumpy struct {
38 chi2CaseControlColumn string
39 chi2CaseControlFile string
47 func (cmd *sliceNumpy) RunCommand(prog string, args []string, stdin io.Reader, stdout, stderr io.Writer) int {
51 fmt.Fprintf(stderr, "%s\n", err)
54 flags := flag.NewFlagSet("", flag.ContinueOnError)
55 flags.SetOutput(stderr)
56 pprof := flags.String("pprof", "", "serve Go profile data at http://`[addr]:port`")
57 runlocal := flags.Bool("local", false, "run on local host (default: run in an arvados container)")
58 projectUUID := flags.String("project", "", "project `UUID` for output data")
59 priority := flags.Int("priority", 500, "container request priority")
60 inputDir := flags.String("input-dir", "./in", "input `directory`")
61 outputDir := flags.String("output-dir", "./out", "output `directory`")
62 ref := flags.String("ref", "", "reference name (if blank, choose last one that appears in input)")
63 regionsFilename := flags.String("regions", "", "only output columns/annotations that intersect regions in specified bed `file`")
64 expandRegions := flags.Int("expand-regions", 0, "expand specified regions by `N` base pairs on each side`")
65 mergeOutput := flags.Bool("merge-output", false, "merge output into one matrix.npy and one matrix.annotations.csv")
66 hgvsSingle := flags.Bool("single-hgvs-matrix", false, "also generate hgvs-based matrix")
67 hgvsChunked := flags.Bool("chunked-hgvs-matrix", false, "also generate hgvs-based matrix per chromosome")
68 onehotSingle := flags.Bool("single-onehot", false, "generate one-hot tile-based matrix")
69 onehotChunked := flags.Bool("chunked-onehot", false, "generate one-hot tile-based matrix per input chunk")
70 flags.IntVar(&cmd.threads, "threads", 16, "number of memory-hungry assembly threads")
71 flags.StringVar(&cmd.chi2CaseControlFile, "chi2-case-control-file", "", "tsv file or directory indicating cases and controls for Χ² test (if directory, all .tsv files will be read)")
72 flags.StringVar(&cmd.chi2CaseControlColumn, "chi2-case-control-column", "", "name of case/control column in case-control files for Χ² test (value must be 0 for control, 1 for case)")
73 flags.Float64Var(&cmd.chi2PValue, "chi2-p-value", 1, "do Χ² test and omit columns with p-value above this threshold")
74 flags.BoolVar(&cmd.includeVariant1, "include-variant-1", false, "include most common variant when building one-hot matrix")
75 cmd.filter.Flags(flags)
76 err = flags.Parse(args)
77 if err == flag.ErrHelp {
80 } else if err != nil {
86 log.Println(http.ListenAndServe(*pprof, nil))
90 if cmd.chi2PValue != 1 && (cmd.chi2CaseControlFile == "" || cmd.chi2CaseControlColumn == "") {
91 log.Errorf("cannot use provided -chi2-p-value=%f because -chi2-case-control-file= or -chi2-case-control-column= value is empty", cmd.chi2PValue)
96 runner := arvadosContainerRunner{
97 Name: "lightning slice-numpy",
98 Client: arvados.NewClientFromEnv(),
99 ProjectUUID: *projectUUID,
106 err = runner.TranslatePaths(inputDir, regionsFilename, &cmd.chi2CaseControlFile)
110 runner.Args = []string{"slice-numpy", "-local=true",
112 "-input-dir=" + *inputDir,
113 "-output-dir=/mnt/output",
114 "-threads=" + fmt.Sprintf("%d", cmd.threads),
115 "-regions=" + *regionsFilename,
116 "-expand-regions=" + fmt.Sprintf("%d", *expandRegions),
117 "-merge-output=" + fmt.Sprintf("%v", *mergeOutput),
118 "-single-hgvs-matrix=" + fmt.Sprintf("%v", *hgvsSingle),
119 "-chunked-hgvs-matrix=" + fmt.Sprintf("%v", *hgvsChunked),
120 "-single-onehot=" + fmt.Sprintf("%v", *onehotSingle),
121 "-chunked-onehot=" + fmt.Sprintf("%v", *onehotChunked),
122 "-chi2-case-control-file=" + cmd.chi2CaseControlFile,
123 "-chi2-case-control-column=" + cmd.chi2CaseControlColumn,
124 "-chi2-p-value=" + fmt.Sprintf("%f", cmd.chi2PValue),
126 runner.Args = append(runner.Args, cmd.filter.Args()...)
128 output, err = runner.Run()
132 fmt.Fprintln(stdout, output)
136 infiles, err := allFiles(*inputDir, matchGobFile)
140 if len(infiles) == 0 {
141 err = fmt.Errorf("no input files found in %s", *inputDir)
144 sort.Strings(infiles)
146 var refseq map[string][]tileLibRef
147 var reftiledata = make(map[tileLibRef][]byte, 11000000)
148 in0, err := open(infiles[0])
153 matchGenome, err := regexp.Compile(cmd.filter.MatchGenome)
155 err = fmt.Errorf("-match-genome: invalid regexp: %q", cmd.filter.MatchGenome)
161 DecodeLibrary(in0, strings.HasSuffix(infiles[0], ".gz"), func(ent *LibraryEntry) error {
162 if len(ent.TagSet) > 0 {
165 for _, cseq := range ent.CompactSequences {
166 if cseq.Name == *ref || *ref == "" {
167 refseq = cseq.TileSequences
170 for _, cg := range ent.CompactGenomes {
171 if matchGenome.MatchString(cg.Name) {
172 cmd.cgnames = append(cmd.cgnames, cg.Name)
175 for _, tv := range ent.TileVariants {
177 reftiledata[tileLibRef{tv.Tag, tv.Variant}] = tv.Sequence
187 err = fmt.Errorf("%s: reference sequence not found", infiles[0])
190 if len(tagset) == 0 {
191 err = fmt.Errorf("tagset not found")
195 taglib := &tagLibrary{}
196 err = taglib.setTags(tagset)
200 taglen := taglib.TagLen()
202 if len(cmd.cgnames) == 0 {
203 err = fmt.Errorf("no genomes found matching regexp %q", cmd.filter.MatchGenome)
206 sort.Strings(cmd.cgnames)
207 err = cmd.useCaseControlFiles()
211 cmd.minCoverage = int(math.Ceil(cmd.filter.MinCoverage * float64(len(cmd.cgnames))))
214 labelsFilename := *outputDir + "/samples.csv"
215 log.Infof("writing labels to %s", labelsFilename)
217 f, err = os.Create(labelsFilename)
222 for i, name := range cmd.cgnames {
224 if cmd.chi2Cases != nil && cmd.chi2Cases[i] {
227 _, err = fmt.Fprintf(f, "%d,%q,%d\n", i, trimFilenameForLabel(name), cc)
229 err = fmt.Errorf("write %s: %w", labelsFilename, err)
235 err = fmt.Errorf("close %s: %w", labelsFilename, err)
240 log.Info("indexing reference tiles")
241 type reftileinfo struct {
242 variant tileVariantID
243 seqname string // chr1
244 pos int // distance from start of chromosome to starttag
245 tiledata []byte // acgtggcaa...
247 isdup := map[tagID]bool{}
248 reftile := map[tagID]*reftileinfo{}
249 for seqname, cseq := range refseq {
251 for _, libref := range cseq {
252 if cmd.filter.MaxTag >= 0 && libref.Tag > tagID(cmd.filter.MaxTag) {
255 tiledata := reftiledata[libref]
256 if len(tiledata) == 0 {
257 err = fmt.Errorf("missing tiledata for tag %d variant %d in %s in ref", libref.Tag, libref.Variant, seqname)
260 foundthistag := false
261 taglib.FindAll(tiledata[:len(tiledata)-1], func(tagid tagID, offset, _ int) {
262 if !foundthistag && tagid == libref.Tag {
266 if dupref, ok := reftile[tagid]; ok {
267 log.Printf("dropping reference tile %+v from %s @ %d, tag not unique, also found inside %+v from %s @ %d", tileLibRef{Tag: tagid, Variant: dupref.variant}, dupref.seqname, dupref.pos, libref, seqname, pos+offset+1)
268 delete(reftile, tagid)
270 log.Printf("found tag %d at offset %d inside tile variant %+v on %s @ %d", tagid, offset, libref, seqname, pos+offset+1)
274 if isdup[libref.Tag] {
275 log.Printf("dropping reference tile %+v from %s @ %d, tag not unique", libref, seqname, pos)
276 } else if reftile[libref.Tag] != nil {
277 log.Printf("dropping reference tile %+v from %s @ %d, tag not unique", tileLibRef{Tag: libref.Tag, Variant: reftile[libref.Tag].variant}, reftile[libref.Tag].seqname, reftile[libref.Tag].pos)
278 delete(reftile, libref.Tag)
279 log.Printf("dropping reference tile %+v from %s @ %d, tag not unique", libref, seqname, pos)
280 isdup[libref.Tag] = true
282 reftile[libref.Tag] = &reftileinfo{
284 variant: libref.Variant,
289 pos += len(tiledata) - taglen
291 log.Printf("... %s done, len %d", seqname, pos+taglen)
295 if *regionsFilename != "" {
296 log.Printf("loading regions from %s", *regionsFilename)
297 mask, err = makeMask(*regionsFilename, *expandRegions)
301 log.Printf("before applying mask, len(reftile) == %d", len(reftile))
302 log.Printf("deleting reftile entries for regions outside %d intervals", mask.Len())
303 for tag, rt := range reftile {
304 if !mask.Check(strings.TrimPrefix(rt.seqname, "chr"), rt.pos, rt.pos+len(rt.tiledata)) {
308 log.Printf("after applying mask, len(reftile) == %d", len(reftile))
311 type hgvsColSet map[hgvs.Variant][2][]int8
312 encodeHGVS := throttle{Max: len(refseq)}
313 encodeHGVSTodo := map[string]chan hgvsColSet{}
314 tmpHGVSCols := map[string]*os.File{}
316 for seqname := range refseq {
318 f, err = os.Create(*outputDir + "/tmp." + seqname + ".gob")
322 defer os.Remove(f.Name())
323 bufw := bufio.NewWriterSize(f, 1<<24)
324 enc := gob.NewEncoder(bufw)
325 tmpHGVSCols[seqname] = f
326 todo := make(chan hgvsColSet, 128)
327 encodeHGVSTodo[seqname] = todo
328 encodeHGVS.Go(func() error {
329 for colset := range todo {
330 err := enc.Encode(colset)
332 encodeHGVS.Report(err)
343 var toMerge [][]int16
344 if *mergeOutput || *hgvsSingle {
345 toMerge = make([][]int16, len(infiles))
347 var onehotIndirect [][2][]uint32 // [chunkIndex][axis][index]
348 var onehotXrefs [][]onehotXref
350 onehotIndirect = make([][2][]uint32, len(infiles))
351 onehotXrefs = make([][]onehotXref, len(infiles))
354 throttleMem := throttle{Max: cmd.threads} // TODO: estimate using mem and data size
355 throttleNumpyMem := throttle{Max: cmd.threads/2 + 1}
356 log.Info("generating annotations and numpy matrix for each slice")
358 for infileIdx, infile := range infiles {
359 infileIdx, infile := infileIdx, infile
360 throttleMem.Go(func() error {
361 seq := make(map[tagID][]TileVariant, 50000)
362 cgs := make(map[string]CompactGenome, len(cmd.cgnames))
363 f, err := open(infile)
368 log.Infof("%04d: reading %s", infileIdx, infile)
369 err = DecodeLibrary(f, strings.HasSuffix(infile, ".gz"), func(ent *LibraryEntry) error {
370 for _, tv := range ent.TileVariants {
374 if mask != nil && reftile[tv.Tag] == nil {
380 variants := seq[tv.Tag]
381 if len(variants) == 0 {
382 variants = make([]TileVariant, 100)
384 for len(variants) <= int(tv.Variant) {
385 variants = append(variants, TileVariant{})
387 variants[int(tv.Variant)] = tv
388 seq[tv.Tag] = variants
390 for _, cg := range ent.CompactGenomes {
391 if !matchGenome.MatchString(cg.Name) {
394 // pad to full slice size
395 // to avoid out-of-bounds
397 if sliceSize := 2 * int(cg.EndTag-cg.StartTag); len(cg.Variants) < sliceSize {
398 cg.Variants = append(cg.Variants, make([]tileVariantID, sliceSize-len(cg.Variants))...)
407 tagstart := cgs[cmd.cgnames[0]].StartTag
408 tagend := cgs[cmd.cgnames[0]].EndTag
412 log.Infof("%04d: renumber/dedup variants for tags %d-%d", infileIdx, tagstart, tagend)
413 variantRemap := make([][]tileVariantID, tagend-tagstart)
414 throttleCPU := throttle{Max: runtime.GOMAXPROCS(0)}
415 for tag, variants := range seq {
416 tag, variants := tag, variants
417 throttleCPU.Acquire()
419 defer throttleCPU.Release()
420 count := make(map[[blake2b.Size256]byte]int, len(variants))
424 count[blake2b.Sum256(rt.tiledata)] = 0
427 for _, cg := range cgs {
428 idx := int(tag-tagstart) * 2
429 for allele := 0; allele < 2; allele++ {
430 v := cg.Variants[idx+allele]
431 if v > 0 && len(variants[v].Sequence) > 0 {
432 count[variants[v].Blake2b]++
436 // hash[i] will be the hash of
437 // the variant(s) that should
438 // be at rank i (0-based).
439 hash := make([][blake2b.Size256]byte, 0, len(count))
440 for b := range count {
441 hash = append(hash, b)
443 sort.Slice(hash, func(i, j int) bool {
444 bi, bj := &hash[i], &hash[j]
445 if ci, cj := count[*bi], count[*bj]; ci != cj {
448 return bytes.Compare((*bi)[:], (*bj)[:]) < 0
451 // rank[b] will be the 1-based
452 // new variant number for
453 // variants whose hash is b.
454 rank := make(map[[blake2b.Size256]byte]tileVariantID, len(hash))
455 for i, h := range hash {
456 rank[h] = tileVariantID(i + 1)
458 // remap[v] will be the new
459 // variant number for original
461 remap := make([]tileVariantID, len(variants))
462 for i, tv := range variants {
463 remap[i] = rank[tv.Blake2b]
465 variantRemap[tag-tagstart] = remap
467 rt.variant = rank[blake2b.Sum256(rt.tiledata)]
473 var onehotChunk [][]int8
474 var onehotXref []onehotXref
476 annotationsFilename := fmt.Sprintf("%s/matrix.%04d.annotations.csv", *outputDir, infileIdx)
477 log.Infof("%04d: writing %s", infileIdx, annotationsFilename)
478 annof, err := os.Create(annotationsFilename)
482 annow := bufio.NewWriterSize(annof, 1<<20)
484 for tag := tagstart; tag < tagend; tag++ {
486 if rt == nil && mask != nil {
487 // Excluded by specified regions
490 if cmd.filter.MaxTag >= 0 && tag > tagID(cmd.filter.MaxTag) {
493 remap := variantRemap[tag-tagstart]
494 maxv := tileVariantID(0)
495 for _, v := range remap {
500 if *onehotChunked || *onehotSingle {
501 onehot, xrefs := cmd.tv2homhet(cgs, maxv, remap, tag, tagstart)
502 onehotChunk = append(onehotChunk, onehot...)
503 onehotXref = append(onehotXref, xrefs...)
506 // Reference does not use any
507 // variant of this tile
511 fmt.Fprintf(annow, "%d,%d,%d,=,%s,%d,,,\n", tag, outcol, rt.variant, rt.seqname, rt.pos)
513 reftilestr := strings.ToUpper(string(rt.tiledata))
515 done := make([]bool, maxv+1)
516 variantDiffs := make([][]hgvs.Variant, maxv+1)
517 for v, tv := range variants {
519 if v == rt.variant || done[v] {
524 if len(tv.Sequence) < taglen || !bytes.HasSuffix(rt.tiledata, tv.Sequence[len(tv.Sequence)-taglen:]) {
525 fmt.Fprintf(annow, "%d,%d,%d,,%s,%d,,,\n", tag, outcol, v, rt.seqname, rt.pos)
528 if lendiff := len(rt.tiledata) - len(tv.Sequence); lendiff < -1000 || lendiff > 1000 {
529 fmt.Fprintf(annow, "%d,%d,%d,,%s,%d,,,\n", tag, outcol, v, rt.seqname, rt.pos)
532 diffs, _ := hgvs.Diff(reftilestr, strings.ToUpper(string(tv.Sequence)), 0)
533 for i := range diffs {
534 diffs[i].Position += rt.pos
536 for _, diff := range diffs {
537 fmt.Fprintf(annow, "%d,%d,%d,%s:g.%s,%s,%d,%s,%s,%s\n", tag, outcol, v, rt.seqname, diff.String(), rt.seqname, diff.Position, diff.Ref, diff.New, diff.Left)
540 variantDiffs[v] = diffs
544 // We can now determine, for each HGVS
545 // variant (diff) in this reftile
546 // region, whether a given genome
547 // phase/allele (1) has the variant, (0) has
548 // =ref or a different variant in that
549 // position, or (-1) is lacking
550 // coverage / couldn't be diffed.
551 hgvsCol := hgvsColSet{}
552 for _, diffs := range variantDiffs {
553 for _, diff := range diffs {
554 if _, ok := hgvsCol[diff]; ok {
557 hgvsCol[diff] = [2][]int8{
558 make([]int8, len(cmd.cgnames)),
559 make([]int8, len(cmd.cgnames)),
563 for row, name := range cmd.cgnames {
564 variants := cgs[name].Variants[(tag-tagstart)*2:]
565 for ph := 0; ph < 2; ph++ {
567 if int(v) >= len(remap) {
573 // hgvsCol[*][ph][row] is already 0
574 } else if len(variantDiffs[v]) == 0 {
575 // lacking coverage / couldn't be diffed
576 for _, col := range hgvsCol {
580 for _, diff := range variantDiffs[v] {
581 hgvsCol[diff][ph][row] = 1
586 for diff, colpair := range hgvsCol {
587 allele2homhet(colpair)
588 if !cmd.filterHGVScolpair(colpair) {
589 delete(hgvsCol, diff)
592 if len(hgvsCol) > 0 {
593 encodeHGVSTodo[rt.seqname] <- hgvsCol
608 // transpose onehotChunk[col][row] to numpy[row*ncols+col]
609 rows := len(cmd.cgnames)
610 cols := len(onehotChunk)
611 log.Infof("%04d: preparing onehot numpy (rows=%d, cols=%d, mem=%d)", infileIdx, len(cmd.cgnames), len(onehotChunk), len(cmd.cgnames)*len(onehotChunk))
612 throttleNumpyMem.Acquire()
613 out := onehotcols2int8(onehotChunk)
614 fnm := fmt.Sprintf("%s/onehot.%04d.npy", *outputDir, infileIdx)
615 err = writeNumpyInt8(fnm, out, rows, cols)
619 fnm = fmt.Sprintf("%s/onehot-columns.%04d.npy", *outputDir, infileIdx)
620 err = writeNumpyInt32(fnm, onehotXref2int32(onehotXref), 4, len(onehotXref))
625 throttleNumpyMem.Release()
628 onehotIndirect[infileIdx] = onehotChunk2Indirect(onehotChunk)
629 onehotXrefs[infileIdx] = onehotXref
630 n := len(onehotIndirect[infileIdx][0])
631 log.Infof("%04d: keeping onehot coordinates in memory (n=%d, mem=%d)", infileIdx, n, n*8)
633 if !(*onehotSingle || *onehotChunked) || *mergeOutput || *hgvsSingle {
634 log.Infof("%04d: preparing numpy", infileIdx)
635 throttleNumpyMem.Acquire()
636 rows := len(cmd.cgnames)
638 out := make([]int16, rows*cols)
639 for row, name := range cmd.cgnames {
640 out := out[row*cols:]
642 for col, v := range cgs[name].Variants {
643 tag := tagstart + tagID(col/2)
644 if mask != nil && reftile[tag] == nil || tag > tagID(cmd.filter.MaxTag) {
647 if variants, ok := seq[tag]; ok && len(variants) > int(v) && len(variants[v].Sequence) > 0 {
648 out[outcol] = int16(variantRemap[tag-tagstart][v])
658 throttleNumpyMem.Release()
659 if *mergeOutput || *hgvsSingle {
660 log.Infof("%04d: matrix fragment %d rows x %d cols", infileIdx, rows, cols)
661 toMerge[infileIdx] = out
663 if !*mergeOutput && !*onehotChunked && !*onehotSingle {
664 fnm := fmt.Sprintf("%s/matrix.%04d.npy", *outputDir, infileIdx)
665 err = writeNumpyInt16(fnm, out, rows, cols)
672 log.Infof("%s: done (%d/%d)", infile, int(atomic.AddInt64(&done, 1)), len(infiles))
676 if err = throttleMem.Wait(); err != nil {
681 log.Info("flushing hgvsCols temp files")
682 for seqname := range refseq {
683 close(encodeHGVSTodo[seqname])
685 err = encodeHGVS.Wait()
689 for seqname := range refseq {
690 log.Infof("%s: reading hgvsCols from temp file", seqname)
691 f := tmpHGVSCols[seqname]
692 _, err = f.Seek(0, io.SeekStart)
696 var hgvsCols hgvsColSet
697 dec := gob.NewDecoder(bufio.NewReaderSize(f, 1<<24))
699 err = dec.Decode(&hgvsCols)
704 log.Infof("%s: sorting %d hgvs variants", seqname, len(hgvsCols))
705 variants := make([]hgvs.Variant, 0, len(hgvsCols))
706 for v := range hgvsCols {
707 variants = append(variants, v)
709 sort.Slice(variants, func(i, j int) bool {
710 vi, vj := &variants[i], &variants[j]
711 if vi.Position != vj.Position {
712 return vi.Position < vj.Position
713 } else if vi.Ref != vj.Ref {
714 return vi.Ref < vj.Ref
716 return vi.New < vj.New
719 rows := len(cmd.cgnames)
720 cols := len(variants) * 2
721 log.Infof("%s: building hgvs matrix (rows=%d, cols=%d, mem=%d)", seqname, rows, cols, rows*cols)
722 out := make([]int8, rows*cols)
723 for varIdx, variant := range variants {
724 hgvsCols := hgvsCols[variant]
725 for row := range cmd.cgnames {
726 for ph := 0; ph < 2; ph++ {
727 out[row*cols+varIdx+ph] = hgvsCols[ph][row]
731 err = writeNumpyInt8(fmt.Sprintf("%s/hgvs.%s.npy", *outputDir, seqname), out, rows, cols)
737 fnm := fmt.Sprintf("%s/hgvs.%s.annotations.csv", *outputDir, seqname)
738 log.Infof("%s: writing hgvs column labels to %s", seqname, fnm)
739 var hgvsLabels bytes.Buffer
740 for varIdx, variant := range variants {
741 fmt.Fprintf(&hgvsLabels, "%d,%s:g.%s\n", varIdx, seqname, variant.String())
743 err = ioutil.WriteFile(fnm, hgvsLabels.Bytes(), 0666)
750 if *mergeOutput || *hgvsSingle {
751 var annow *bufio.Writer
754 annoFilename := fmt.Sprintf("%s/matrix.annotations.csv", *outputDir)
755 annof, err = os.Create(annoFilename)
759 annow = bufio.NewWriterSize(annof, 1<<20)
762 rows := len(cmd.cgnames)
764 for _, chunk := range toMerge {
765 cols += len(chunk) / rows
767 log.Infof("merging output matrix (rows=%d, cols=%d, mem=%d) and annotations", rows, cols, rows*cols*2)
770 out = make([]int16, rows*cols)
772 hgvsCols := map[string][2][]int16{} // hgvs -> [[g0,g1,g2,...], [g0,g1,g2,...]] (slice of genomes for each phase)
774 for outIdx, chunk := range toMerge {
775 chunkcols := len(chunk) / rows
777 for row := 0; row < rows; row++ {
778 copy(out[row*cols+startcol:], chunk[row*chunkcols:(row+1)*chunkcols])
781 toMerge[outIdx] = nil
783 annotationsFilename := fmt.Sprintf("%s/matrix.%04d.annotations.csv", *outputDir, outIdx)
784 log.Infof("reading %s", annotationsFilename)
785 buf, err := os.ReadFile(annotationsFilename)
790 err = os.Remove(annotationsFilename)
795 for _, line := range bytes.Split(buf, []byte{'\n'}) {
799 fields := bytes.SplitN(line, []byte{','}, 9)
800 tag, _ := strconv.Atoi(string(fields[0]))
801 incol, _ := strconv.Atoi(string(fields[1]))
802 tileVariant, _ := strconv.Atoi(string(fields[2]))
803 hgvsID := string(fields[3])
804 seqname := string(fields[4])
805 pos, _ := strconv.Atoi(string(fields[5]))
808 // Null entry for un-diffable
813 // Null entry for ref tile
816 if mask != nil && !mask.Check(strings.TrimPrefix(seqname, "chr"), pos, pos+len(refseq)) {
817 // The tile intersects one of
818 // the selected regions, but
819 // this particular HGVS
823 hgvsColPair := hgvsCols[hgvsID]
824 if hgvsColPair[0] == nil {
825 // values in new columns start
826 // out as -1 ("no data yet")
827 // or 0 ("=ref") here, may
828 // change to 1 ("hgvs variant
829 // present") below, either on
830 // this line or a future line.
831 hgvsColPair = [2][]int16{make([]int16, len(cmd.cgnames)), make([]int16, len(cmd.cgnames))}
832 rt, ok := reftile[tagID(tag)]
834 err = fmt.Errorf("bug: seeing annotations for tag %d, but it has no reftile entry", tag)
837 for ph := 0; ph < 2; ph++ {
838 for row := 0; row < rows; row++ {
839 v := chunk[row*chunkcols+incol*2+ph]
840 if tileVariantID(v) == rt.variant {
841 hgvsColPair[ph][row] = 0
843 hgvsColPair[ph][row] = -1
847 hgvsCols[hgvsID] = hgvsColPair
849 hgvsref := hgvs.Variant{
854 fmt.Fprintf(annow, "%d,%d,%d,%s:g.%s,%s,%d,%s,%s,%s\n", tag, incol+startcol/2, rt.variant, seqname, hgvsref.String(), seqname, pos, refseq, refseq, fields[8])
858 fmt.Fprintf(annow, "%d,%d,%d,%s,%s,%d,%s,%s,%s\n", tag, incol+startcol/2, tileVariant, hgvsID, seqname, pos, refseq, fields[7], fields[8])
860 for ph := 0; ph < 2; ph++ {
861 for row := 0; row < rows; row++ {
862 v := chunk[row*chunkcols+incol*2+ph]
863 if int(v) == tileVariant {
864 hgvsColPair[ph][row] = 1
870 startcol += chunkcols
881 err = writeNumpyInt16(fmt.Sprintf("%s/matrix.npy", *outputDir), out, rows, cols)
889 cols = len(hgvsCols) * 2
890 log.Printf("building hgvs-based matrix: %d rows x %d cols", rows, cols)
891 out = make([]int16, rows*cols)
892 hgvsIDs := make([]string, 0, cols/2)
893 for hgvsID := range hgvsCols {
894 hgvsIDs = append(hgvsIDs, hgvsID)
896 sort.Strings(hgvsIDs)
897 var hgvsLabels bytes.Buffer
898 for idx, hgvsID := range hgvsIDs {
899 fmt.Fprintf(&hgvsLabels, "%d,%s\n", idx, hgvsID)
900 for ph := 0; ph < 2; ph++ {
901 hgvscol := hgvsCols[hgvsID][ph]
902 for row, val := range hgvscol {
903 out[row*cols+idx*2+ph] = val
907 err = writeNumpyInt16(fmt.Sprintf("%s/hgvs.npy", *outputDir), out, rows, cols)
912 fnm := fmt.Sprintf("%s/hgvs.annotations.csv", *outputDir)
913 log.Printf("writing hgvs labels: %s", fnm)
914 err = ioutil.WriteFile(fnm, hgvsLabels.Bytes(), 0777)
922 for _, part := range onehotIndirect {
923 nzCount += len(part[0])
925 onehot := make([]uint32, nzCount*2) // [r,r,r,...,c,c,c,...]
926 var xrefs []onehotXref
928 for i, part := range onehotIndirect {
929 for i := range part[1] {
930 part[1][i] += uint32(outcol)
932 copy(onehot[outcol:], part[0])
933 copy(onehot[outcol+nzCount:], part[1])
934 outcol += len(part[0])
935 xrefs = append(xrefs, onehotXrefs[i]...)
942 fnm := fmt.Sprintf("%s/onehot.npy", *outputDir)
943 err = writeNumpyUint32(fnm, onehot, 2, nzCount)
947 fnm = fmt.Sprintf("%s/onehot-columns.npy", *outputDir)
948 err = writeNumpyInt32(fnm, onehotXref2int32(xrefs), 4, len(xrefs))
956 // Read case/control files, remove non-case/control entries from
957 // cmd.cgnames, and build cmd.chi2Cases.
958 func (cmd *sliceNumpy) useCaseControlFiles() error {
959 if cmd.chi2CaseControlFile == "" {
962 infiles, err := allFiles(cmd.chi2CaseControlFile, nil)
966 // index in cmd.cgnames => case(true) / control(false)
968 for _, infile := range infiles {
969 f, err := open(infile)
973 buf, err := io.ReadAll(f)
979 for _, tsv := range bytes.Split(buf, []byte{'\n'}) {
983 split := strings.Split(string(tsv), "\t")
986 for col, name := range split {
987 if name == cmd.chi2CaseControlColumn {
993 return fmt.Errorf("%s: no column named %q in header row %q", infile, cmd.chi2CaseControlColumn, tsv)
997 if len(split) <= ccCol {
1002 for i, name := range cmd.cgnames {
1003 if strings.Contains(name, pattern) {
1005 log.Warnf("pattern %q in %s matches multiple genome IDs (%qs, %q)", pattern, infile, cmd.cgnames[found], name)
1011 log.Warnf("pattern %q in %s does not match any genome IDs", pattern, infile)
1014 if split[ccCol] == "0" {
1017 if split[ccCol] == "1" {
1022 allnames := cmd.cgnames
1026 for i, name := range allnames {
1027 if cc, ok := cc[i]; ok {
1028 cmd.cgnames = append(cmd.cgnames, name)
1029 cmd.chi2Cases = append(cmd.chi2Cases, cc)
1035 log.Printf("%d cases, %d controls, %d neither (dropped)", ncases, len(cmd.cgnames)-ncases, len(allnames)-len(cmd.cgnames))
1039 func (cmd *sliceNumpy) filterHGVScolpair(colpair [2][]int8) bool {
1040 if cmd.chi2PValue >= 1 {
1043 col0 := make([]bool, 0, len(cmd.chi2Cases))
1044 col1 := make([]bool, 0, len(cmd.chi2Cases))
1045 cases := make([]bool, 0, len(cmd.chi2Cases))
1046 for i, c := range cmd.chi2Cases {
1047 if colpair[0][i] < 0 {
1050 col0 = append(col0, colpair[0][i] != 0)
1051 col1 = append(col1, colpair[1][i] != 0)
1052 cases = append(cases, c)
1054 return len(cases) >= cmd.minCoverage &&
1055 (pvalue(col0, cases) <= cmd.chi2PValue || pvalue(col1, cases) <= cmd.chi2PValue)
1058 func writeNumpyUint32(fnm string, out []uint32, rows, cols int) error {
1059 output, err := os.Create(fnm)
1063 defer output.Close()
1064 bufw := bufio.NewWriterSize(output, 1<<26)
1065 npw, err := gonpy.NewWriter(nopCloser{bufw})
1069 log.WithFields(log.Fields{
1073 "bytes": rows * cols * 4,
1074 }).Infof("writing numpy: %s", fnm)
1075 npw.Shape = []int{rows, cols}
1076 npw.WriteUint32(out)
1081 return output.Close()
1084 func writeNumpyInt32(fnm string, out []int32, rows, cols int) error {
1085 output, err := os.Create(fnm)
1089 defer output.Close()
1090 bufw := bufio.NewWriterSize(output, 1<<26)
1091 npw, err := gonpy.NewWriter(nopCloser{bufw})
1095 log.WithFields(log.Fields{
1099 "bytes": rows * cols * 4,
1100 }).Infof("writing numpy: %s", fnm)
1101 npw.Shape = []int{rows, cols}
1107 return output.Close()
1110 func writeNumpyInt16(fnm string, out []int16, rows, cols int) error {
1111 output, err := os.Create(fnm)
1115 defer output.Close()
1116 bufw := bufio.NewWriterSize(output, 1<<26)
1117 npw, err := gonpy.NewWriter(nopCloser{bufw})
1121 log.WithFields(log.Fields{
1125 "bytes": rows * cols * 2,
1126 }).Infof("writing numpy: %s", fnm)
1127 npw.Shape = []int{rows, cols}
1133 return output.Close()
1136 func writeNumpyInt8(fnm string, out []int8, rows, cols int) error {
1137 output, err := os.Create(fnm)
1141 defer output.Close()
1142 bufw := bufio.NewWriterSize(output, 1<<26)
1143 npw, err := gonpy.NewWriter(nopCloser{bufw})
1147 log.WithFields(log.Fields{
1151 "bytes": rows * cols,
1152 }).Infof("writing numpy: %s", fnm)
1153 npw.Shape = []int{rows, cols}
1159 return output.Close()
1162 func allele2homhet(colpair [2][]int8) {
1163 a, b := colpair[0], colpair[1]
1164 for i, av := range a {
1166 if av < 0 || bv < 0 {
1169 } else if av > 0 && bv > 0 {
1172 } else if av > 0 || bv > 0 {
1176 // ref (or a different variant in same position)
1177 // (this is a no-op) a[i], b[i] = 0, 0
1182 type onehotXref struct {
1184 variant tileVariantID
1189 const onehotXrefSize = unsafe.Sizeof(onehotXref{})
1191 // Build onehot matrix (m[variant*2+isHet][genome] == 0 or 1) for all
1192 // variants of a single tile/tag#.
1194 // Return nil if no tile variant passes Χ² filter.
1195 func (cmd *sliceNumpy) tv2homhet(cgs map[string]CompactGenome, maxv tileVariantID, remap []tileVariantID, tag, chunkstarttag tagID) ([][]int8, []onehotXref) {
1197 // everyone has the most common variant
1200 tagoffset := tag - chunkstarttag
1202 for _, cg := range cgs {
1203 if cg.Variants[tagoffset*2] > 0 && cg.Variants[tagoffset*2+1] > 0 {
1207 if coverage < cmd.minCoverage {
1210 obs := make([][]bool, (maxv+1)*2) // 2 slices (hom + het) for each variant#
1211 for i := range obs {
1212 obs[i] = make([]bool, len(cmd.cgnames))
1214 for cgid, name := range cmd.cgnames {
1215 cgvars := cgs[name].Variants
1216 for v := tileVariantID(2); v <= maxv; v++ {
1217 if remap[cgvars[tagoffset*2]] == v && remap[cgvars[tagoffset*2+1]] == v {
1218 obs[v*2][cgid] = true
1219 } else if remap[cgvars[tagoffset*2]] == v || remap[cgvars[tagoffset*2+1]] == v {
1220 obs[v*2+1][cgid] = true
1225 var xref []onehotXref
1226 for homcol := 2; homcol < len(obs); homcol += 2 {
1227 // homcol 0,1 correspond to tile variant 0, i.e.,
1228 // no-call; homcol 2,3 correspond to the most common
1229 // variant; so we (normally) start at homcol 4.
1230 if homcol < 4 && !cmd.includeVariant1 {
1233 for het := 0; het < 2; het++ {
1234 p := pvalue(obs[homcol+het], cmd.chi2Cases)
1235 if cmd.chi2PValue < 1 && !(p < cmd.chi2PValue) {
1238 onehot = append(onehot, bool2int8(obs[homcol+het]))
1239 xref = append(xref, onehotXref{
1241 variant: tileVariantID(homcol / 2),
1250 func bool2int8(in []bool) []int8 {
1251 out := make([]int8, len(in))
1252 for i, v := range in {
1260 // convert a []onehotXref with length N to a numpy-style []int32
1261 // matrix with N columns, one row per field of onehotXref struct.
1263 // Hom/het row contains hom=0, het=1.
1265 // P-value row contains 1000000x actual p-value.
1266 func onehotXref2int32(xrefs []onehotXref) []int32 {
1268 xdata := make([]int32, 4*xcols)
1269 for i, xref := range xrefs {
1270 xdata[i] = int32(xref.tag)
1271 xdata[xcols+i] = int32(xref.variant)
1273 xdata[xcols*2+i] = 1
1275 xdata[xcols*3+i] = int32(xref.pvalue * 1000000)
1280 // transpose onehot data from in[col][row] to numpy-style
1281 // out[row*cols+col].
1282 func onehotcols2int8(in [][]int8) []int8 {
1288 out := make([]int8, rows*cols)
1289 for row := 0; row < rows; row++ {
1290 outrow := out[row*cols:]
1291 for col, incol := range in {
1292 outrow[col] = incol[row]
1298 // Return [2][]uint32{rowIndices, colIndices} indicating which
1299 // elements of matrixT[c][r] have non-zero values.
1300 func onehotChunk2Indirect(matrixT [][]int8) [2][]uint32 {
1302 for c, col := range matrixT {
1303 for r, val := range col {
1305 nz[0] = append(nz[0], uint32(r))
1306 nz[1] = append(nz[1], uint32(c))