From 8b361a222de3c6345bacccda8657e7a7efec0658 Mon Sep 17 00:00:00 2001 From: Alex Rubinsteyn Date: Tue, 29 Sep 2026 07:27:13 -0400 Subject: [PATCH 1/5] Preserve fixture provenance and native coordinates; add audited comprehensive evidence --- MANIFEST.in | 3 + docs/changelog.md | 16 + docs/samples.md | 24 + docs/test-data.md | 48 + osteosarc/__init__.py | 3 +- osteosarc/bundles.py | 42 +- osteosarc/cli.py | 31 +- osteosarc/corpus.py | 274 + osteosarc/data/evidence-overlaps.json | 61 + osteosarc/data/retrieval-cases.json | 4142 ++++++++++ osteosarc/fixtures.py | 16 +- osteosarc/models.py | 22 + osteosarc/provenance.py | 98 + osteosarc/retrieval.py | 90 + osteosarc/shared.py | 76 +- .../shared_test_data/audit_comprehensive.py | 180 + .../shared_test_data/build_comprehensive.py | 77 + .../shared_test_data/catalog_comprehensive.py | 84 + .../controls_comprehensive.py | 79 + .../shared_test_data/package_comprehensive.py | 107 + .../verify_evidence_comprehensive.py | 81 + tests/data/comprehensive/README.md | 191 + tests/data/comprehensive/catalog.json.gz | Bin 0 -> 622358 bytes tests/data/comprehensive/checksums.json | 7 + .../comprehensive/count-source-aliases.json | 6 + tests/data/comprehensive/historical-rna.json | 7241 +++++++++++++++++ tests/data/comprehensive/inputs.json.gz | Bin 0 -> 622135 bytes tests/data/comprehensive/spec.json | 555 ++ tests/data/comprehensive/summary.json | 22 + tests/data/evidence-overlap/README.md | 18 + .../evidence-overlap/c75479dce2b07bbf.bam | Bin 0 -> 1507900 bytes .../evidence-overlap/e5c28abdbf307d55.bam | Bin 0 -> 1507788 bytes tests/data/evidence-overlap/receipts.json | 1436 ++++ ...-ABCF2-chr7-151218156-f30f618fb76a0e49.bam | Bin 0 -> 4179 bytes ...F2-chr7-151218156-f30f618fb76a0e49.bam.bai | Bin 0 -> 75480 bytes .../44-MT_ND5-chrM-12994-238f917202dd9997.bam | Bin 0 -> 2055 bytes ...MT_ND5-chrM-12994-238f917202dd9997.bam.bai | Bin 0 -> 760 bytes .../45-MT_ND5-chrM-12994-fbeb5d8a415e4d18.bam | Bin 0 -> 1257 bytes ...MT_ND5-chrM-12994-fbeb5d8a415e4d18.bam.bai | Bin 0 -> 288 bytes ...-NR2F2-chr15-96332299-fbeb5d8a415e4d18.bam | Bin 0 -> 1255 bytes ...F2-chr15-96332299-fbeb5d8a415e4d18.bam.bai | Bin 0 -> 47584 bytes tests/data/retrieval/README.md | 18 + tests/data/retrieval/historical-manifest.json | 269 + tests/test_bundles.py | 72 +- tests/test_corpus.py | 202 + tests/test_fixtures.py | 14 + tests/test_provenance.py | 54 + tests/test_retrieval.py | 55 + tests/test_shared.py | 27 +- 49 files changed, 15718 insertions(+), 23 deletions(-) create mode 100644 osteosarc/corpus.py create mode 100644 osteosarc/data/evidence-overlaps.json create mode 100644 osteosarc/data/retrieval-cases.json create mode 100644 osteosarc/provenance.py create mode 100644 osteosarc/retrieval.py create mode 100644 scripts/shared_test_data/audit_comprehensive.py create mode 100644 scripts/shared_test_data/build_comprehensive.py create mode 100644 scripts/shared_test_data/catalog_comprehensive.py create mode 100644 scripts/shared_test_data/controls_comprehensive.py create mode 100644 scripts/shared_test_data/package_comprehensive.py create mode 100644 scripts/shared_test_data/verify_evidence_comprehensive.py create mode 100644 tests/data/comprehensive/README.md create mode 100644 tests/data/comprehensive/catalog.json.gz create mode 100644 tests/data/comprehensive/checksums.json create mode 100644 tests/data/comprehensive/count-source-aliases.json create mode 100644 tests/data/comprehensive/historical-rna.json create mode 100644 tests/data/comprehensive/inputs.json.gz create mode 100644 tests/data/comprehensive/spec.json create mode 100644 tests/data/comprehensive/summary.json create mode 100644 tests/data/evidence-overlap/README.md create mode 100644 tests/data/evidence-overlap/c75479dce2b07bbf.bam create mode 100644 tests/data/evidence-overlap/e5c28abdbf307d55.bam create mode 100644 tests/data/evidence-overlap/receipts.json create mode 100644 tests/data/retrieval/00-ABCF2-chr7-151218156-f30f618fb76a0e49.bam create mode 100644 tests/data/retrieval/00-ABCF2-chr7-151218156-f30f618fb76a0e49.bam.bai create mode 100644 tests/data/retrieval/44-MT_ND5-chrM-12994-238f917202dd9997.bam create mode 100644 tests/data/retrieval/44-MT_ND5-chrM-12994-238f917202dd9997.bam.bai create mode 100644 tests/data/retrieval/45-MT_ND5-chrM-12994-fbeb5d8a415e4d18.bam create mode 100644 tests/data/retrieval/45-MT_ND5-chrM-12994-fbeb5d8a415e4d18.bam.bai create mode 100644 tests/data/retrieval/48-NR2F2-chr15-96332299-fbeb5d8a415e4d18.bam create mode 100644 tests/data/retrieval/48-NR2F2-chr15-96332299-fbeb5d8a415e4d18.bam.bai create mode 100644 tests/data/retrieval/README.md create mode 100644 tests/data/retrieval/historical-manifest.json create mode 100644 tests/test_corpus.py create mode 100644 tests/test_provenance.py create mode 100644 tests/test_retrieval.py diff --git a/MANIFEST.in b/MANIFEST.in index 6489dac..452a986 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -6,3 +6,6 @@ recursive-include tests/data/allele_resolution *.fasta *.vcf *.txt *.md recursive-include scripts *.py recursive-include tests/data/additional_svs *.bam *.bai *.md +recursive-include tests/data/comprehensive *.json.gz *.md +recursive-include tests/data/evidence-overlap *.bam *.md +recursive-include tests/data/retrieval *.bam *.bai *.md diff --git a/docs/changelog.md b/docs/changelog.md index 005c70a..6a60689 100644 --- a/docs/changelog.md +++ b/docs/changelog.md @@ -7,7 +7,23 @@ snapshot (by name or download date) for reproducible analyses. Full release note ## Unreleased +- `subset_bundle` and `test-data make --from` carve out members offline while + preserving original source headers, acquisition receipts and selection results (#90). +- New `sv-regressions-v2` panel supplies the three Isovar fusions' retained sides; + newly requested fusion bundles use it. Published v1 panels and bundles stay unchanged (#96). +- Historical retrieval cases have verified native coordinates, exact BAM contig names, + mitochondrial reference identity and a guard against incompatible merges (#99). +- Reviewed Tempus evidence overlap is available on files and file selections, with + explicit preference required to exclude one product. Both original labels and + acquisition receipts remain intact; the true sample identity is still unresolved (#100). - Python 3.14 support: the tests run on Python 3.9 to 3.14. +- Comprehensive vaccine/RNA test corpus: 51 vaccine-associated variants from the + union of membership sources, a complete per-BAM support matrix, four + DNA-supported SNVs with zero reported RNA alternate reads, a historical RNA + disagreement case, frameshifts and SV evidence. Its + openvax-v3 read specification is an unpublished candidate. +- Shared read builds can checkpoint completed source selections and set their + supplementary-alignment depth and region limits explicitly in the spec. ## 0.14.4 (2026-09-28) diff --git a/docs/samples.md b/docs/samples.md index ee5f662..a9aafa5 100644 --- a/docs/samples.md +++ b/docs/samples.md @@ -1,5 +1,29 @@ # Samples and files +## Known overlapping RNA evidence + +The reprocessed Tempus ALMY2X4KMV and KCVBE1UI1P products overlap almost completely +in the audited vaccine regions: 18,971 shared read names and 40,684 matching core +alignment records out of 40,696 per file, including base qualities. They must not +be counted as independent RNA evidence. This is a regional observation, not proof +that the full libraries are identical or that either biological sample label is correct. +See [the provenance investigation](https://github.com/iskandr/osteosarc/issues/100). + +Each `file.evidence_overlaps` lists reviewed relationships for its exact product +URL. A selection's `files.overlap_groups` reports pairs present together, and +`files.require_no_known_overlaps()` raises before they can be used as independent +evidence. To keep one explicitly, call +`files.without_known_overlaps(prefer=[chosen_url])`. The returned selection records +every exclusion in `files.source["excluded_evidence_overlaps"]`; original labels, +sample claims and receipts remain unchanged. No listed overlap means no reviewed +overlap is known, not proof of independence. + +The original FASTQ checksums and processing/upload manifests are still needed to +resolve the label discrepancy. Both alignment headers use generic R1/R2 input +paths, so the headers alone cannot identify which sample was processed. + +## Catalogue + - **Samples** are what was collected: tumor biopsies and resections at time points T0 to T3, an organoid grown from the T1 tumor, and blood draws. - **Files** are what's in the public S3 bucket: aligned reads (BAMs), raw reads diff --git a/docs/test-data.md b/docs/test-data.md index cc26f97..91e443a 100644 --- a/docs/test-data.md +++ b/docs/test-data.md @@ -77,6 +77,54 @@ instead, use `osteosarc test-data export`. ## Shared test data +To carve out a library's members without reacquiring its source BAMs: + + +```sh +osteosarc test-data make isovar-subset --from openvax-v2 --member isovar/ +``` + +The Python equivalent is `osteosarc.subset_bundle(bundle, members, destination)`; +`members` contains exact names, whereas the CLI accepts prefixes. This keeps the +original source headers, acquisition receipts, selection outcomes and record +multiplicities, and pins the parent manifest checksum. Empty, unresolved and +omitted members retain their status. A local bundle needs no network access. + +New fusion requests use `sv-regressions-v2`. Its GABBR1--SLC29A1 and OTUD7A--FMN1 +breakends retain right/right; PARD3B--CDKN2B retains left/right. The versioned v1 +panel and already published bundles retain their original metadata. + +### Historical retrieval cases + +The 49 `shared-v1` cases are small indexed-retrieval examples. They use five BAM +reference dictionaries and **cannot all be merged and queried under one genome +build or contig naming convention**. Their `variant_id` is the catalogue identity; +it is not necessarily the coordinate in the BAM. Read the reviewed metadata with +`osteosarc.retrieval.load_retrieval_cases()`, query each original BAM using its +`query_region`, and use `assert_compatible_retrieval_cases(cases)` before a raw merge. +Matching dictionaries establish coordinate compatibility, not sample independence. + +| Case | Catalogue position | Native BAM query | Nuclear assembly | Mitochondrial reference | +| --- | --- | --- | --- | --- | +| 44, MT-ND5 / Tempus | chrM:12994 | MT:12994 | GRCh37 | rCRS, 16,569 bases; validation uses hg38 chrM | +| 45, MT-ND5 / CeGaT | chrM:12994 | chrM:12995 | GRCh37 | UCSC hg19 chrM, 16,571 bases | +| 48, NR2F2 / CeGaT | chr15:96332299 | chr15:96875528 | GRCh37 | Not applicable | + +Positions in this table are one-based; `query_region` is zero-based and half-open. +The new `native-retrieval-v1` metadata preserves the original cases, validation +receipts and BAM checksums. `annotate_retrieval_manifest(manifest, directory)` +reproduces it from an existing export, checking every asset and native indexed +query. No BAM or historical manifest is silently rewritten or lifted over. + +### Comprehensive corpus + +For the comprehensive vaccine/RNA candidate, see the +[frozen corpus and build instructions](https://github.com/iskandr/osteosarc/tree/main/tests/data/comprehensive). +It includes the union of all vaccine membership sources (51 variants in the +2026-09-28 snapshot), the full per-BAM support matrix, RNA-negative DNA-positive +SNV controls, frameshifts and structural candidates. Its local openvax-v3 build +preserves openvax-v2's library fixtures; it is not yet a published bundle. + Isovar, Topiary, Varcode and Vaxrank can all test against one bundle of reads, openvax-v2, chosen once, here. It holds: diff --git a/osteosarc/__init__.py b/osteosarc/__init__.py index 85aba4b..595d256 100644 --- a/osteosarc/__init__.py +++ b/osteosarc/__init__.py @@ -18,6 +18,7 @@ export_bundle, generate_bundle, list_bundle, + subset_bundle, verify_bundle, verify_digest, verify_gzip_digests, @@ -68,7 +69,7 @@ # Reads and test data "extract_reads", "ReadFilter", "ReadSubset", "RecoveryPolicy", "bundle_file", "fetch_bundle", "list_bundle", "export_bundle", "check_fixtures", "verify_bundle", - "generate_bundle", "validate_recipe", + "generate_bundle", "subset_bundle", "validate_recipe", "load_panel", "load_sv_candidates", # Corrections diff --git a/osteosarc/bundles.py b/osteosarc/bundles.py index c341c34..fb6ab62 100644 --- a/osteosarc/bundles.py +++ b/osteosarc/bundles.py @@ -14,7 +14,7 @@ from .cache import Cache, digest, file_lock, is_sha256, stable_id, write_json from .errors import IntegrityError, SchemaError -from .fixtures import select_fixtures, validate_recipe +from .fixtures import FixtureSelection, select_fixtures, validate_recipe from .models import File, Region from .reads import extract_reads from .records import RECORD_ENCODING, read_records, record_multiset @@ -339,6 +339,46 @@ def list_bundle(bundle, *, cache=None): return verify_bundle(bundle, cache=cache)["members"] +def subset_bundle(bundle, members, destination, *, recipe_id=None, cache=None, + size_budget=DEFAULT_SIZE_BUDGET): + """Repack named members offline, preserving original headers and receipts. + + Members are exact names, including empty, omitted and unresolved members. + Selection policies are not rerun: their recorded outcomes and reasons survive + unchanged. Only referenced sources, targets and record occurrences are kept. + The parent manifest checksum pins the provenance of this subset. A published + bundle name is downloaded on first use; a local folder needs no cache/network. + """ + if isinstance(members, (str, bytes)): + raise TypeError("members must be an iterable of exact member names, not a string") + names = sorted(set(members)) + root = _folder(bundle, cache) + manifest = verify_bundle(root) + if missing := set(names) - manifest["members"].keys(): + raise KeyError(f"Unknown bundle members: {sorted(missing)}") + recipe = json.loads((root / "recipe.json").read_text()) + recipe["id"] = recipe_id if recipe_id is not None else recipe["id"] + "-subset-" + stable_id(names)[:12] + recipe["members"] = {name: recipe["members"][name] for name in names} + for section, field in (("sources", "source"), ("targets", "target")): + needed = {m[field] for m in recipe["members"].values()} + recipe[section] = {key: value for key, value in recipe[section].items() if key in needed} + recipe = validate_recipe(recipe) + selected = {name: copy.deepcopy(manifest["members"][name]) for name in names} + active = {m["source"] for m in selected.values() if m["status"] not in ("omitted", "unresolved")} + headers, records = {}, {} + for sid in sorted(active): + source = manifest["sources"][sid] + headers[sid] = json.loads(safe_path(root, source["original_header"]).read_text()) + records[sid] = list(read_records(safe_path(root, source["bam"]))) + receipts = json.loads((root / "acquisition.json").read_text()) + selection = FixtureSelection(recipe, selected, headers, records, + {sid: value for sid, value in receipts.items() if sid in recipe["sources"]}) + return pack_bundle(selection, destination, header_policy=manifest["header_policy"], + size_budget=size_budget, + parent=dict(manifest_sha256=digest(root / "manifest.json"), + recipe_sha256=manifest["recipe_sha256"])) + + def export_bundle(bundle, to, *, members=None, format="bam", cache=None): """Write a bundle's members into a folder, each as a file named after it. diff --git a/osteosarc/cli.py b/osteosarc/cli.py index 2f07a8e..a86a310 100644 --- a/osteosarc/cli.py +++ b/osteosarc/cli.py @@ -225,6 +225,10 @@ def command(name, *, data=True, epilog=None): "your newest, which must list each BAM unchanged; or give them with --source") make.add_argument("--source", action="append", default=[], metavar="ID=LOCAL_BAM", help="With --recipe: use a BAM you already have for one of its sources") + make.add_argument("--from", dest="from_bundle", metavar="BUNDLE", + help="Subset an existing bundle, keeping its original headers and acquisition receipts") + make.add_argument("--member", action="append", metavar="PREFIX", + help="With --from: keep members whose names start with this prefix; repeat for several") make.add_argument("--header-policy", choices=("full", "compact"), default="full", help="compact keeps only the header lines the records need") make.add_argument("--unplaced-mates", action="store_true", @@ -610,13 +614,36 @@ def test_data(args, cache): """test-data make, list, verify, export and check.""" from pathlib import Path - from .bundles import export_bundle, generate_bundle, list_bundle, sources_to_read, verify_bundle + from .bundles import ( + export_bundle, + generate_bundle, + list_bundle, + sources_to_read, + subset_bundle, + verify_bundle, + ) from .fixtures import validate_recipe from .shared import bundle_folder, check_fixtures, read_json from .views import plural, table action = args.test_data_command if action == "make": - if args.recipe: + if args.member and not args.from_bundle: + raise ValueError("--member goes with --from") + if args.from_bundle: + if (args.recipe or args.source or args.sources or args.variant or args.sv or args.assay + or args.platform or args.unplaced_mates or args.header_policy != "full"): + raise ValueError("--from preserves the existing bundle's selections and header policy; " + "use only --member and --size-budget") + if not args.member: + raise ValueError("--from requires at least one --member prefix") + root = bundle_folder(args.from_bundle, cache=cache) + available = list_bundle(root) + for prefix in args.member: + if not any(name.startswith(prefix) for name in available): + raise ValueError(f"No bundle member starts with {prefix!r}") + names = [name for name in available if any(name.startswith(p) for p in args.member)] + manifest = subset_bundle(root, names, args.output, size_budget=args.size_budget) + elif args.recipe: if args.sources or args.variant or args.sv or args.assay or args.platform or args.unplaced_mates: raise ValueError("--recipe makes the bundle from the recipe alone, which says how each BAM is read; " "drop the BAMs, --variant, --sv and --unplaced-mates") diff --git a/osteosarc/corpus.py b/osteosarc/corpus.py new file mode 100644 index 0000000..f0d71dd --- /dev/null +++ b/osteosarc/corpus.py @@ -0,0 +1,274 @@ +"""Auditable evidence tables for the comprehensive regression corpus. + +Published read counts, published rounded VAFs, and balanced fixture template +counts are different measurements. Never pool them, or different processing +products of the same biological sample. A zero is only a measured zero. +""" + +from collections import Counter, defaultdict + +from .errors import IntegrityError + +RNA_ASSAYS = {"RNA", "scRNA", "scRNA_ONT", "PacBio"} +LOW_COVERAGE_CONTROLS = ("CTSE-chr1-206022947", "DBH-chr9-133652279") +NEGATIVE_CONTROLS = ("ACE-chr17-63497361", "BTN3A3-chr6-26448446", *LOW_COVERAGE_CONTROLS) +DISCORDANCE_CONTROLS = ("NR2F2-chr15-96332299",) +AUDIT_SNVS = (*NEGATIVE_CONTROLS, *DISCORDANCE_CONTROLS) +CONTROL_THRESHOLDS = dict(tumor_depth=50, tumor_alt=10, tumor_vaf=0.10, + normal_depth=30, normal_max_vaf=0.01, rna_ref=20) +COUNT_FIELDS = ("ref_reads", "alt_reads", "other_reads", "total_reads") + + +def counts(row): + """Validate published counts; unknown counts stay None, never zero.""" + result = {} + for key in COUNT_FIELDS: + value = row.get(key) + if value in (None, ""): + result[key] = None + else: + try: + number = int(value) + except (ValueError, TypeError) as error: + raise IntegrityError(f"Invalid {key}: {value!r}") from error + if str(number) != str(value) or number < 0: + raise IntegrityError(f"Invalid {key}: {value!r}") + result[key] = number + if all(value is not None for value in result.values()): + if sum(result[k] for k in COUNT_FIELDS[:3]) != result["total_reads"]: + raise IntegrityError("Published ref + alt + other differs from depth") + return result + + +def support_status(values): + if any(values.get(k) is None for k in COUNT_FIELDS): + return "not_measured" + if values["total_reads"] == 0: + return "no_coverage" + if values["alt_reads"]: + return "alt_observed" + if values["ref_reads"]: + return "covered_no_alt" + return "other_only" + + +def _locus(chrom, pos): + return (str(chrom).removeprefix("chr").replace("MT", "M"), int(pos)) + + +def vaccine_membership(variants, vaccine_rows): + """Union independent vaccine assertions, preserving their disagreements. + + Each overlap row must join exactly one literal allele by locus. Duplicate + rows at the same locus (TECPR1) retain their own assertions. Neither gene + names nor protein names alone establish allele identity. + """ + loci = defaultdict(list) + result = {} + for v in variants: + if v["status"] == "ready": + chrom, pos, _, _ = v["alleles"][0] + loci[_locus(chrom, pos)].append(v["id"]) + result[v["id"]] = dict(index_count=v.get("vaccine_count"), + source_variants=list(v["annotations"].get("source_vaccines", ())), + parsed_overlap=list(v.get("vaccines", ())), overlap_rows=[]) + joined = [] + for number, row in enumerate(vaccine_rows): + matches = loci[_locus(row["chrom"], row["pos"])] + if len(matches) != 1: + raise IntegrityError(f"Vaccine row {number} ({row['gene']}) joins {len(matches)} alleles") + vid = matches[0] + result[vid]["overlap_rows"].append(number) + joined.append(dict(row, variant_id=vid, row=number)) + for vid, entry in result.items(): + overlap = {name for i in entry["overlap_rows"] for name, used in vaccine_rows[i]["vaccines"].items() + if used} + entry["overlap_union"] = sorted(overlap) + entry["vaccines_union"] = sorted(overlap | set(entry["source_variants"]) | set(entry["parsed_overlap"])) + entry["included"] = bool(entry["vaccines_union"] or (entry["index_count"] or 0) > 0) + entry["membership_disagreement"] = set(entry["source_variants"]) != overlap + return result, joined + + +def count_matrix(variants, rows): + """Complete variant × reported-BAM matrix, with explicit missing cells.""" + by_key, sources = {}, {} + source_fields = ("bam_file", "sample_label", "data_source", "pipeline", "assay_type", + "timepoint", "tissue", "sample_date") + for row in rows: + key = row["variant_id"], row["bam_file"] + if key in by_key: + raise IntegrityError(f"Duplicate evidence row: {key}") + by_key[key] = row + source = {k: row.get(k, "") for k in source_fields} + if row["bam_file"] in sources and sources[row["bam_file"]] != source: + raise IntegrityError(f"Conflicting source metadata: {row['bam_file']}") + sources[row["bam_file"]] = source + known = {v["id"] for v in variants} + if set(vid for vid, _ in by_key) - known: + raise IntegrityError("Count table contains variants missing from the catalogue") + matrix = [] + for v in sorted(variants, key=lambda v: v["id"]): + for bam, source in sorted(sources.items()): + row = by_key.get((v["id"], bam)) + numbers = counts(row or {}) + status = support_status(numbers) + if v["status"] != "ready": + status = "unresolved_allele" + elif row and status != "not_measured": + actual = [row["chrom"], int(row["pos"]), row["ref"], row["alt"]] + if actual != list(v["alleles"][0]): + raise IntegrityError(f"Counts are for another allele: {v['id']} / {bam}") + matrix.append(dict(variant_id=v["id"], **source, **numbers, status=status, + reported_vaf=(row or {}).get("vaf") or None, + corrections=(row or {}).get("corrections", ""), + row_present=row is not None, evidence="published_allele_counts")) + return matrix, sources + + +def negative_controls(variants, matrix, ids=NEGATIVE_CONTROLS): + """Require DNA support and matched-normal evidence, with explicit RNA coverage. + + ALL reported tumor RNA products must have measured zero alternate reads. + Products are never summed or counted as independent replicates. + """ + by_variant = defaultdict(list) + for row in matrix: + by_variant[row["variant_id"]].append(row) + by_id = {v["id"]: v for v in variants} + result = [] + t = CONTROL_THRESHOLDS + for vid in ids: + v = by_id[vid] + if v["status"] != "ready" or any(len(a) != 1 for a in v["alleles"][0][2:]): + raise IntegrityError(f"Negative control is not a literal SNV: {vid}") + rows = by_variant[vid] + rna = [r for r in rows if r["assay_type"] in RNA_ASSAYS and r["tissue"] == "tumor"] + if not rna or any(r["alt_reads"] != 0 or r["status"] == "not_measured" for r in rna): + raise IntegrityError(f"Negative control has alternate or unmeasured RNA evidence: {vid}") + low_coverage = vid in LOW_COVERAGE_CONTROLS + if low_coverage and max(r["ref_reads"] for r in rna) >= t["rna_ref"]: + raise IntegrityError(f"Low-coverage control now has covered RNA: {vid}") + good_dna = [r for r in rows if r["assay_type"] in {"WGS", "WES"} and r["tissue"] == "tumor" + and r["status"] == "alt_observed" and r["total_reads"] >= t["tumor_depth"] + and r["alt_reads"] >= t["tumor_alt"] + and r["alt_reads"] / r["total_reads"] >= t["tumor_vaf"]] + matches = [] + for dna in good_dna: + normal = [r for r in rows if r["tissue"] == "blood" and r["assay_type"] == dna["assay_type"] + and r["timepoint"] == dna["timepoint"] and r["data_source"] == dna["data_source"] + and r["status"] in {"covered_no_alt", "alt_observed"} + and r["total_reads"] >= t["normal_depth"] + and r["alt_reads"] / r["total_reads"] <= t["normal_max_vaf"]] + covered = [r for r in rna if r["timepoint"] == dna["timepoint"] and r["ref_reads"] >= t["rna_ref"]] + if normal and (covered or low_coverage): + matches.append(dict(tumor_dna=dna["bam_file"], timepoint=dna["timepoint"], + normal_dna=sorted(r["bam_file"] for r in normal), + covered_rna=sorted(r["bam_file"] for r in covered))) + if not matches: + raise IntegrityError(f"No matched DNA/normal/covered-RNA comparison for {vid}") + result.append(dict(variant_id=vid, evidence="published_allele_counts", thresholds=t, + control_class="insufficient_rna_coverage" if low_coverage else "covered_rna_no_alt", + comparisons=matches, tumor_rna_products_checked=len(rna), + interpretation="No alternate RNA reads reported; not proof of absent expression.")) + return result + + +def snv_read_support(reads, position, ref, alt, *, min_mapping_quality=20, min_base_quality=20): + """Independent SNV audit of full regional extracts, before balanced sampling. + + Counts templates (RG + QNAME), collapses paired ends, and calls conflicting + observations 'other'. Missing QUAL is unknown. MAPQ 255 is accepted only with + NH:i:1 (the STAR convention), never as a numerical quality of 255. + """ + from .records import read_template + if len(ref) != 1 or len(alt) != 1: + raise ValueError("SNV audit requires single-base REF and ALT") + shown = defaultdict(set) + skipped = Counter() + for read in reads: + if read.is_unmapped or read.is_secondary or read.is_supplementary or read.is_qcfail or read.is_duplicate: + skipped["flag_filtered"] += 1 + continue + if read.mapping_quality == 255: + if not (read.has_tag("NH") and read.get_tag("NH") == 1): + skipped["unknown_mapping_quality"] += 1 + continue + elif read.mapping_quality < min_mapping_quality: + skipped["low_mapping_quality"] += 1 + continue + offsets = [q for q, r in read.get_aligned_pairs(matches_only=True) if r == position - 1] + if len(offsets) != 1 or read.query_sequence is None: + skipped["no_aligned_base"] += 1 + continue + q = offsets[0] + if read.query_qualities is None or read.query_qualities[q] == 255: + skipped["missing_base_quality"] += 1 + continue + if read.query_qualities[q] < min_base_quality: + skipped["low_base_quality"] += 1 + continue + base = read.query_sequence[q].upper() + shown[read_template(read)].add("alt" if base == alt else "ref" if base == ref else "other") + result = Counter(next(iter(values)) if len(values) == 1 else "other" for values in shown.values()) + return dict(templates={key: result[key] for key in ("alt", "ref", "other")}, + filtered_records=dict(sorted(skipped.items())), min_mapping_quality=min_mapping_quality, + min_base_quality=min_base_quality, unit="RG+QNAME", measured_before_sampling=True) + + +def evidence_catalog(inputs): + variants = inputs["variants"] + memberships, vaccine_rows = vaccine_membership(variants, inputs["vaccine_rows"]) + matrix, sources = count_matrix(variants, inputs["counts"]) + controls = negative_controls(variants, matrix) + historical = inputs.get("historical_rna", []) + historical_positive = {e["variant_id"] for e in historical if e["observed_before_sampling"].get("alt", 0) > 0} + if positive := historical_positive & set(NEGATIVE_CONTROLS): + raise IntegrityError(f"Negative controls have historical RNA support: {sorted(positive)}") + disagreements = [e for e in historical if e["variant_id"] in DISCORDANCE_CONTROLS + and e["observed_before_sampling"].get("alt", 0) > 0] + if {e["variant_id"] for e in disagreements} != set(DISCORDANCE_CONTROLS): + raise IntegrityError("The known cross-build RNA disagreement must be retained") + targets = {} + source_summaries = [] + for v in variants: + a = v["annotations"] + source = a.get("source_record", {}) + allele = list(v["alleles"][0]) if v["status"] == "ready" else None + targets[v["id"]] = dict(gene=v["gene"], assembly=v["assembly"], allele=allele, + status=v["status"], on_site=v["on_site"], + consequence=a.get("consequence"), protein_change=a.get("protein_change"), + annotated_frameshift="frameshift" in (a.get("consequence") or ""), + length_change_modulo_three=(len(allele[3]) - len(allele[2])) % 3 if allele else None, + vaccine=memberships[v["id"]], pipelines=v["pipelines"], + corrections=a.get("corrections", []), + allele_resolution=a.get("allele_resolution"), + vaccine_peptides=source.get("vaccine_peptides", []), + peptides=source.get("peptides", {}), + validation=source.get("validation", {})) + for row in source.get("vafs", []): + source_summaries.append(dict(variant_id=v["id"], **row, evidence="published_depth_and_rounded_vaf", + interpretation="Not raw allele counts; do not infer integer counts or pool products.")) + for control in controls: + control["scope"] = "The tumor RNA products in the published allele-count matrix." + control["nonzero_rna_summary_exceptions"] = [ + row for row in source_summaries if row["variant_id"] == control["variant_id"] + and row["assay"] not in {"WGS", "WES"} and (row.get("vaf") or 0) > 0] + if any(row["tissue"] == "tumor" for row in control["nonzero_rna_summary_exceptions"]): + raise IntegrityError(f"Negative control has a nonzero tumor RNA summary: {control['variant_id']}") + return dict(schema_version=1, snapshot=inputs["snapshot"], provenance=inputs["provenance"], + suitable_for_abundance=False, variants=targets, vaccine_rows=vaccine_rows, + count_sources={k: dict(v, **inputs["count_sources"].get(k, {})) for k, v in sources.items()}, + allele_support=matrix, source_reported_support=source_summaries, + negative_controls=controls, samples=inputs["samples"], + historical_rna=historical, known_rna_disagreements=disagreements, + structural_candidates=inputs["structural_candidates"], + summary=dict(variants=len(targets), vaccine_variants=sum(m["included"] for m in memberships.values()), + vaccine_rows=len(vaccine_rows), count_sources=len(sources), support_cells=len(matrix), + rna_count_sources=sum(s["assay_type"] in RNA_ASSAYS for s in sources.values()), + annotated_frameshifts=sum(t["annotated_frameshift"] for t in targets.values()), + structural_candidates=len(inputs["structural_candidates"]["targets"]), + samples=len(inputs["samples"]), source_summary_rows=len(source_summaries), + source_summary_products=len({r["sample"] for r in source_summaries}), + statuses=dict(Counter(r["status"] for r in matrix)), + negative_controls=len(controls))) diff --git a/osteosarc/data/evidence-overlaps.json b/osteosarc/data/evidence-overlaps.json new file mode 100644 index 0000000..abefb69 --- /dev/null +++ b/osteosarc/data/evidence-overlaps.json @@ -0,0 +1,61 @@ +{ + "groups": [ + { + "audit": { + "different_a": 12, + "different_b": 12, + "names_a": 18971, + "names_b": 18971, + "read_groups_a": [ + { + "ID": "TL-24-ALMY2X4KMV", + "SM": "TL-24-ALMY2X4KMV" + } + ], + "read_groups_b": [ + { + "ID": "TL-24-KCVBE1UI1P", + "SM": "TL-24-KCVBE1UI1P" + } + ], + "records_a": 40696, + "records_b": 40696, + "shared_names": 18971, + "shared_records_excluding_tags": 40684, + "union_names": 18971 + }, + "evidence_date": "2026-09-28", + "id": "tempus-almy-kcv-regional-v1", + "interpretation": "Do not treat these products as independent RNA evidence. Original labels and receipts are retained. Choosing one for analysis does not establish the correct sample identity.", + "issue": "https://github.com/iskandr/osteosarc/issues/100", + "provenance_gap": "Both STAR headers name generic /mnt/data/fastq/R1.fastq.gz and R2.fastq.gz. Original FASTQ checksums and job/upload manifests are needed to identify the correct sample label.", + "scope": "44 vaccine loci with 2000-base flanks and fetched mates; no whole-library identity claim", + "sources": [ + { + "id": "e5c28abdbf307d55", + "regional_bam": "e5c28abdbf307d55.bam", + "regional_bam_sha256": "c6af0965958b55954757945dbd0125eb0b452d60b1c9038bf980621852831f95", + "remote_identity": { + "content-length": "1518846497", + "etag": "\"9f88b09613aebf4c1e6e17c120b435c7-290\"", + "last-modified": "Wed, 03 Jun 2026 17:42:55 GMT" + }, + "url": "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/rna-seq/reprocessed/TL-24-ALMY2X4KMV/TL-24-ALMY2X4KMV.Aligned.sortedByCoord.out.md.bam" + }, + { + "id": "c75479dce2b07bbf", + "regional_bam": "c75479dce2b07bbf.bam", + "regional_bam_sha256": "333b459db4357990cabe80beb361af9279c8e95cd7c9a604216dfcce47be7065", + "remote_identity": { + "content-length": "1518873721", + "etag": "\"d4b0ef9bcd9305357dbd3f4b0e79f208-290\"", + "last-modified": "Wed, 03 Jun 2026 21:50:31 GMT" + }, + "url": "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/rna-seq/reprocessed/TL-24-KCVBE1UI1P/TL-24-KCVBE1UI1P.Aligned.sortedByCoord.out.md.bam" + } + ], + "status": "biological_identity_unresolved" + } + ], + "schema_version": 1 +} diff --git a/osteosarc/data/retrieval-cases.json b/osteosarc/data/retrieval-cases.json new file mode 100644 index 0000000..e0722c2 --- /dev/null +++ b/osteosarc/data/retrieval-cases.json @@ -0,0 +1,4142 @@ +{ + "acquisition": "osteosarc; current extraction receipts are in ../../provenance.json", + "assets": [ + { + "bundle_path": "osteosarc/shared-v1/00-ABCF2-chr7-151218156-f30f618fb76a0e49.bam", + "filename": "00-ABCF2-chr7-151218156-f30f618fb76a0e49.bam", + "sha256": "5e95118af62ea8d000100a87d0c0ed0d571045f320d63375e58969bd4ff1fa63", + "size_bytes": 4179 + }, + { + "bundle_path": 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"alt": "T", + "assembly": "GRCh38", + "chrom": "chr15", + "pos": 96332299, + "ref": "G" + }, + "historical_selection": { + "selection": "allele-balanced hash-selected names plus up to 32 protein-supporting names", + "selection_row_sha256": null, + "source_receipt_sha256": "771bc1d14258b99f336f6ce18a58528fe5831130a25b0c04a4903da8fafe0ac6", + "source_region_sha256": "7066148b3a84af932d23ca18097a279fd7ddb40c2aaaeb4bb6a9341c12d227ef" + }, + "native_variant": { + "alt": "T", + "assembly": "GRCh37", + "chrom": "chr15", + "coordinates": "one-based", + "pos": 96875528, + "ref": "G" + }, + "query_region": { + "assembly": "GRCh37", + "contig": "chr15", + "end": 96875528, + "reference_length": null, + "start": 96875527 + }, + "reference": { + "dictionary_sha256": "a5f39d7840f60d9213611cf7a79de5d6c0d825b6c54292f0dcc3e1695000811a", + "mitochondrial_reference": null, + "nuclear_assembly": "GRCh37", + "sequence": { + "LN": 102531392, + "SN": "chr15" + }, + "validation_genome": "hg19" + }, + "selected_record_count": 1, + "selection": "One reviewed template for indexed retrieval; NTF3 retains compound AG>GT evidence", + "source_id": "fbeb5d8a415e4d18", + "source_url": "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/vendor/cegat/P116686_2_S000048/P116686_3.bam", + "variant": { + "alt": "T", + "assembly": "GRCh37", + "chrom": "chr15", + "coordinate_mapping": { + "chain_id": "16", + "chrom": "chr15", + "end": 96875528, + "start": 96875527, + "strand": "+" + }, + "gene": "NR2F2", + "genomic_validation": { + "allele_offset": 30, + "end": 96875558, + "genome": "hg19", + "receipt": { + "bytes": 220, + "sha256": "1c930cf48c5e8f56d9a0baa0d8b22b9691cd4e4d4bc038dc952526a789e269f4", + "url": "https://api.genome.ucsc.edu/getData/sequence?genome=hg19&chrom=chr15&start=96875497&end=96875558" + }, + "sequence": "CGGCGGCCGGTGGCCAGGGCGGCCCTGGCGGCCCGGGTAGCGACAAGCAGCAGCAGCAGCA", + "start": 96875497 + }, + "original_identity": { + "alt": "T", + "assembly": "GRCh38", + "chrom": "chr15", + "pos": 96332299, + "ref": "G" + }, + "pos": 96875528, + "ref": "G", + "source_location": "chr15:96332299", + "source_protein_label": "p.Gly65Val", + "source_url": "https://osteosarc.com/variant/NR2F2-chr15-96332299/", + "vaccine_count": 3, + "variant_id": "NR2F2-chr15-96332299" + } + } + ], + "data_version": "native-retrieval-v1", + "dataset": "osteosarc", + "historical_import": { + "commit": "0cad5b275c852263a1c77722aa463fe5568b2c76", + "generator_path": "tests/data/osteosarc/expansion/fixtures.py", + "manifest_sha256": "d656e10c4c2a859e9d7a108e2df68a7bed04189074ae185cba2f1aaddd958e86", + "manifest_url": "https://raw.githubusercontent.com/openvax/isovar/0cad5b275c852263a1c77722aa463fe5568b2c76/tests/data/osteosarc/expansion/corpus/manifest.json", + "repository": "https://github.com/openvax/isovar" + }, + "interpretation": "Deliberately selected regression reads, not full-source coverage, independent platform samples, somatic truth or validated vaccine targets.", + "license_source": "https://registry.opendata.aws/sid-osteosarc/", + "merge_policy": "Check reference dictionaries before merging; query native coordinates, never variant_id.", + "original_vaccine_loci": 44, + "parent": { + "archive_sha256": "6b2d5877d3065d3ca9bdc3cccedb50c7c533d1a5d7237fdbb4fe92b5e2340146", + "data_version": "minimal-vaccine-rna-v2", + "manifest_content_sha256": "905afa11690e9d971052bea2d50167d6fa98528da059cd39c59a78c9cfa66861", + "member_sha256": "570d271ccf6d5f7c12b82af4524a9bc07a5518714975941adeabf74df53ed3ce", + "path": "vaxrank/data/sid-test-data.zip::osteosarc/shared-v1/manifest.json", + "repository": "https://github.com/openvax/vaxrank", + "revision": "0565cf15754fa3ac45b82fa5fc7fd5ddfbe06cfa" + }, + "schema_version": 1, + "scope": "49 indexed-retrieval cases; one explicit template per case; not coverage or VAF", + "source_data_license": "CC0-1.0", + "species": "Homo sapiens", + "taxon_id": 9606 +} diff --git a/osteosarc/fixtures.py b/osteosarc/fixtures.py index e4aaeec..5d016d4 100644 --- a/osteosarc/fixtures.py +++ b/osteosarc/fixtures.py @@ -152,8 +152,22 @@ def load_panel(name): return load_sv_candidates()["targets"] path = Path(__file__).with_name("data") / "panels.json" panels = json.loads(path.read_text()) + if name == "sv-regressions-v2": + panel = copy.deepcopy(panels["sv-regressions-v1"]) + # These are reviewed Isovar fusion traversal conventions, not a generic + # conversion of caller orientation into retained genomic sides. + sides = {"GABBR1-SLC29A1": ("right", "right"), + "OTUD7A-FMN1": ("right", "right"), + "PARD3B-CDKN2B": ("left", "right")} + for key, values in sides.items(): + for end, side in zip(panel[key]["breakends"], values): + end["retained_side"] = side + panel[key]["retained_side_provenance"] = { + "issue": "https://github.com/iskandr/osteosarc/issues/96", + "convention": "Isovar fusion traversal: donor +=left/-=right; acceptor +=right/-=left"} + return panel if name not in panels: - raise KeyError(f"Unknown panel {name!r}; available: {', '.join(sorted([*panels, 'sv-candidates-v1']))}") + raise KeyError(f"Unknown panel {name!r}; available: {', '.join(sorted([*panels, 'sv-candidates-v1', 'sv-regressions-v2']))}") return copy.deepcopy(panels[name]) diff --git a/osteosarc/models.py b/osteosarc/models.py index 10a343e..4ebf3ec 100644 --- a/osteosarc/models.py +++ b/osteosarc/models.py @@ -106,6 +106,12 @@ def conflicts(self): ("timepoint", "date", "assay", "platform", "tissue", "provider", "library") if len(self.values(name)) > 1} + @property + def evidence_overlaps(self): + """Reviewed regional overlaps for this product; sample claims stay unchanged.""" + from .provenance import evidence_overlaps + return evidence_overlaps(self.url) + @dataclass(frozen=True) class Variant: @@ -196,6 +202,22 @@ def __getitem__(self, key): def _names(self): return _NameIndex(self) + @property + def overlap_groups(self): + """Known overlapping evidence products in this selection.""" + from .provenance import overlap_groups + return overlap_groups(self) + + def require_no_known_overlaps(self): + """Raise if this selection would double-count a reviewed overlap group.""" + from .provenance import require_no_known_overlaps + return require_no_known_overlaps(self) + + def without_known_overlaps(self, *, prefer=()): + """Select one explicit preference per overlap group, recording exclusions.""" + from .provenance import without_known_overlaps + return without_known_overlaps(self, prefer=prefer) + def select(self, *, kind=None, format=None, prefix=None, contains=None, sample=None, timepoint=None, assay=None, platform=None, tissue=None, provider=None, library=None, include_conflicts=False, include_inferred=False): diff --git a/osteosarc/provenance.py b/osteosarc/provenance.py new file mode 100644 index 0000000..46827b3 --- /dev/null +++ b/osteosarc/provenance.py @@ -0,0 +1,98 @@ +"""Reviewed evidence overlap, distinct from biological sample identity.""" + +import copy +import json +from collections import Counter +from functools import lru_cache +from pathlib import Path + +import pysam + +from .errors import IntegrityError + + +@lru_cache(maxsize=1) +def _registry(): + return json.loads((Path(__file__).with_name("data") / "evidence-overlaps.json").read_text()) + +def evidence_overlaps(url): + """Known regional overlaps for this exact processing-product URL. + + No sample ID is rewritten. Empty results mean no reviewed overlap is listed, + not that this source is biologically independent of every other source. + """ + return copy.deepcopy([group for group in _registry()["groups"] + if any(s["url"] == url for s in group["sources"])]) + + +def overlap_groups(files): + urls = {file.url for file in files} + return copy.deepcopy([dict(group, selected_urls=sorted(urls & {s["url"] for s in group["sources"]})) + for group in _registry()["groups"] + if len(urls & {s["url"] for s in group["sources"]}) > 1]) + + +def require_no_known_overlaps(files): + """Fail before counting known overlapping products as separate evidence.""" + groups = overlap_groups(files) + if groups: + raise IntegrityError("Sources have known overlapping evidence: " + ", ".join(g["id"] for g in groups) + + ". Keep their labels and receipts; select one explicitly with " + "files.without_known_overlaps(prefer=[URL]). See Osteosarc #100.") + return files + + +def without_known_overlaps(files, *, prefer=()): + """Keep explicitly preferred products from overlap groups; report exclusions. + + Preference selects evidence for an analysis, not the correct biological label. + Both underlying source objects and all their original metadata remain intact. + """ + prefer = (prefer,) if isinstance(prefer, str) else prefer + preferred = {files[name].url for name in prefer} + excluded = [] + for group in overlap_groups(files): + chosen = preferred & set(group["selected_urls"]) + if len(chosen) != 1: + raise ValueError(f"Choose exactly one preferred source in overlap group {group['id']}") + kept, = chosen + excluded += [dict(url=url, kept_url=kept, evidence_overlap=group["id"], issue=group["issue"]) + for url in group["selected_urls"] if url != kept] + removed = {entry["url"] for entry in excluded} + result = type(files)((file for file in files if file.url not in removed), source=dict(files.source, + excluded_evidence_overlaps=[*files.source.get("excluded_evidence_overlaps", []), *excluded])) + return require_no_known_overlaps(result) + + +def audit_alignment_overlap(path_a, path_b): + """Compare regional BAMs by record multiset, including base qualities. + + Ignore all optional tags (including RG), but keep QNAME, flags, mapping + quality, sequence, qualities, CIGAR, positions, mate positions and TLEN. + Normalize chr prefixes and M/MT for comparison only; do not rewrite files. + This describes these BAM subsets, not the complete source libraries. + """ + def contig(name): + name = name.removeprefix("chr") if name else None + return "MT" if name in ("M", "MT") else name + + def read(path): + records, names = Counter(), set() + with pysam.AlignmentFile(path) as bam: + groups = bam.header.to_dict().get("RG", []) + for r in bam: + names.add(r.query_name) + key = (r.query_name, r.flag, contig(r.reference_name), r.reference_start, + r.mapping_quality, r.cigarstring, contig(r.next_reference_name), + r.next_reference_start, r.template_length, r.query_sequence, + tuple(r.query_qualities) if r.query_qualities is not None else None) + records[key] += 1 + return records, names, groups + + a, an, ag = read(path_a) + b, bn, bg = read(path_b) + return dict(records_a=sum(a.values()), records_b=sum(b.values()), + names_a=len(an), names_b=len(bn), shared_names=len(an & bn), union_names=len(an | bn), + shared_records_excluding_tags=sum((a & b).values()), + different_a=sum((a - b).values()), different_b=sum((b - a).values()), + read_groups_a=ag, read_groups_b=bg) diff --git a/osteosarc/retrieval.py b/osteosarc/retrieval.py new file mode 100644 index 0000000..030ea4f --- /dev/null +++ b/osteosarc/retrieval.py @@ -0,0 +1,90 @@ +"""Native coordinates for historical retrieval fixtures; no implicit liftover.""" + +import copy +import json +from dataclasses import asdict +from pathlib import Path + +import pysam + +from .bundles import safe_path, verify_manifest_files +from .cache import stable_id +from .errors import CoordinateError, IntegrityError +from .models import Region +from .reads import assembly_from_header, normalize_assembly, resolve_regions + + +def annotate_retrieval_case(case, bam_path): + """Copy a historical case with a verified native query and reference identity. + + ``variant_id`` is a catalogue label, never a coordinate to parse. The original + variant and its reference-validation receipt survive unchanged. The BAM must + have an index and contain at least one alignment overlapping the native locus. + """ + result = copy.deepcopy(case) + variant = case["variant"] + with pysam.AlignmentFile(bam_path) as bam: + header = bam.header.to_dict() + assembly = assembly_from_header(header) + if assembly is None or assembly != normalize_assembly(variant["assembly"]): + raise CoordinateError(f"Case/header assembly differs: {case['case_id']}") + validation = variant["genomic_validation"] + genome = validation["genome"] + mitochondrial = variant["chrom"].removeprefix("chr") in ("M", "MT") + # hg19's 16,571-base chrM is not the 16,569-base rCRS used by hg38 + # and some GRCh37 alignments. The frozen reference validation determines + # this choice; nuclear assembly and name aliases cannot determine it. + length = {"hg19": 16571, "hg38": 16569}.get(genome) if mitochondrial else None + if mitochondrial and length is None: + raise CoordinateError("Unknown mitochondrial validation reference") + if not mitochondrial and normalize_assembly(genome) != assembly: + raise CoordinateError("Nuclear validation reference differs from the BAM assembly") + pos, ref = variant["pos"], variant["ref"] + offset = pos - 1 - validation["start"] + if offset < 0 or validation["sequence"][offset:offset + len(ref)].upper() != ref.upper(): + raise IntegrityError(f"Reference validation does not match the native allele: {case['case_id']}") + region, = resolve_regions([Region(variant["chrom"], pos - 1, pos - 1 + len(ref), + assembly, length)], header) + if not any(bam.fetch(region.contig, region.start, region.end)): + raise IntegrityError(f"No indexed reads at the native locus: {case['case_id']}") + sq = next(row for row in header["SQ"] if row["SN"] == region.contig) + dictionary = [{k: row[k] for k in ("SN", "LN", "M5") if k in row} for row in header["SQ"]] + result["catalogue_identity"] = copy.deepcopy(variant.get("original_identity", { + k: variant[k] for k in ("assembly", "chrom", "pos", "ref", "alt")})) + result["native_variant"] = dict(assembly=assembly, chrom=region.contig, pos=pos, + ref=ref, alt=variant["alt"], coordinates="one-based") + result["query_region"] = asdict(region) + result["reference"] = dict(nuclear_assembly=assembly, validation_genome=genome, sequence=sq, + mitochondrial_reference=("rCRS" if length == 16569 else "UCSC-hg19-chrM") if mitochondrial else None, + dictionary_sha256=stable_id(dictionary)) + return result + + +def annotate_retrieval_manifest(manifest, directory): + """Verify original assets, then return a new, separately versioned manifest.""" + directory = Path(directory) + verify_manifest_files(directory, {a["filename"]: a for a in manifest["assets"]}) + result = copy.deepcopy(manifest) + result["parent"] = dict(data_version=manifest["data_version"], manifest_content_sha256=stable_id(manifest)) + result["data_version"] = "native-retrieval-v1" + result["cases"] = [annotate_retrieval_case(case, safe_path(directory, case["bam"])) + for case in manifest["cases"]] + result["merge_policy"] = "Check reference dictionaries before merging; query native coordinates, never variant_id." + return result + + +def assert_compatible_retrieval_cases(cases): + """Refuse a raw BAM merge across differing builds, contig names or references. + + Matching dictionaries only establish coordinate compatibility. They do not + establish biological independence or make balanced fixtures quantitative. + """ + identities = {(c["reference"]["nuclear_assembly"], c["reference"]["dictionary_sha256"]) for c in cases} + if len(identities) > 1: + raise CoordinateError("Retrieval cases use different reference dictionaries; query each BAM with its " + "query_region, or explicitly harmonize references and coordinates before merging") + + +def load_retrieval_cases(): + """Reviewed native metadata for the 49 historical shared-v1 retrieval cases.""" + return json.loads((Path(__file__).with_name("data") / "retrieval-cases.json").read_text()) diff --git a/osteosarc/shared.py b/osteosarc/shared.py index f705860..ed7cf5e 100644 --- a/osteosarc/shared.py +++ b/osteosarc/shared.py @@ -380,7 +380,7 @@ def select_breakend_templates(templates, breakends, *, pad=1000, cap=50): return {t: "joins the breakends (hash order)" for t in chosen}, len(joined) -def bundle_fixtures(bundle): +def bundle_fixtures(bundle, *, compact_regions=False): """A bundle's library fixtures as required subsets pinned by checksum, so the next bundle keeps exactly their records once libraries no longer keep their own copies: {name: dict(consumer, source, records, regions, description, @@ -388,6 +388,9 @@ def bundle_fixtures(bundle): Each fixture is planned from the regions its target records; bundles built before targets recorded them (openvax-v1) use the spans of their records. + With compact_regions, mapped records are queried at their first reference + base instead. This avoids fetching entire introns of spliced RNA records; + exact record checksums and multiplicities still determine what is kept. """ from .bundles import verify_bundle bundle = Path(bundle) @@ -415,10 +418,11 @@ def bundle_fixtures(bundle): if r.read.reference_id < 0 or r.read.reference_start < 0: unplaced.add(r.digest) elif not r.read.is_unmapped: - spans[r.digest] = (r.read.reference_name, r.read.reference_start, r.read.reference_end) + spans[r.digest] = (r.read.reference_name, r.read.reference_start, + r.read.reference_start + 1 if compact_regions else r.read.reference_end) for name in names: subsets[name]["unplaced_mates"] = any(key in unplaced for key in subsets[name]["records"]) - if "regions" not in subsets[name]: + if "regions" not in subsets[name] or compact_regions: subsets[name]["regions"] = merge_spans(spans[key] for key in subsets[name]["records"] if key in spans) return subsets @@ -669,12 +673,15 @@ def _uncovered(target): return f"none of them is on its genome build, {target['assembly']}" -def build_shared_recipe(spec, dataset, *, required=(), log=print, workers=6, required_targets=()): +def build_shared_recipe(spec, dataset, *, required=(), log=print, workers=6, required_targets=(), checkpoint=None): """Select the spec's records and return its frozen recipe (see the module docs). Sources are extracted in parallel (workers at a time). Each name in required_targets must be covered by some source, which is checked before any - reads are fetched. dataset must be opened with offline=False the first time, + reads are fetched. An optional checkpoint directory saves completed source + selections, keyed by their spec, source plan and required records; packing + still verifies every selected record against the source. dataset must be + opened with offline=False the first time, to stream reads; extractions are cached, so rebuilding is quick and offline. """ from concurrent.futures import ThreadPoolExecutor, as_completed @@ -698,6 +705,12 @@ def build_shared_recipe(spec, dataset, *, required=(), log=print, workers=6, req if spec.get("sources", {}).get("observed", True) else set()) urls = sorted(everywhere | sv_everywhere | {s["source"] for s in subsets.values()} | observed) split = selection.get("supplementary", False) + split_depth = selection.get("split_depth", SPLIT_DEPTH) + if type(split_depth) is not int or split_depth <= 0: + raise SchemaError("selection.split_depth must be a positive integer") + split_regions = selection.get("split_regions", SPLIT_REGIONS) + if type(split_regions) is not int or split_regions <= 0: + raise SchemaError("selection.split_regions must be a positive integer") recipe = dict(schema_version=1, id=spec["id"], kind="shared", snapshot=dict(name=dataset.name, id=dataset.id), selection=dict(classifier="osteosarc.alleles v1", caps=caps, low_quality_alt=low_quality_alt, @@ -705,6 +718,10 @@ def build_shared_recipe(spec, dataset, *, required=(), log=print, workers=6, req **({"supplementary": True} if split else {})), aliases=spec["targets"].get("renamed", {}), targets=targets, sources={}, members={}, redistribution=spec.get("redistribution", {"license": "unresolved"})) + if "split_depth" in selection: + recipe["selection"]["split_depth"] = split_depth + if "split_regions" in selection: + recipe["selection"]["split_regions"] = split_regions plans = [] for url in urls: mine = {n: s for n, s in subsets.items() if s["source"] == url} @@ -739,6 +756,21 @@ def select(plan): kept templates' alignments elsewhere (SA tags) join the regions, unless in a pileup, and the source is read and selected again: the same templates, now with those records too.""" + checkpoint_path = None + if checkpoint is not None: + from .cache import stable_id, write_json + key = stable_id(dict(version=1, spec=spec, source=plan["source"], required=plan["mine"], + targets=targets, caps=caps, structural=structural, + low_quality_alt=low_quality_alt, split_depth=split_depth, + split_regions=split_regions)) + checkpoint_path = Path(checkpoint) / (key + ".json") + if checkpoint_path.exists(): + state = read_json(checkpoint_path) + if state.get("key") != key or state.get("sha256") != stable_id(state.get("result")): + raise IntegrityError(f"Invalid source-selection checkpoint: {checkpoint_path}") + result = state["result"] + plan["source"] = result["source"] + return plan, result["records"], result["added"], result["crowded"], result["skipped"], result["selected"] subset = dataset.extract_reads(plan["file"], [Region(**r) for r in plan["source"]["regions"]], **plan["source"]["acquisition"]) index = _source_index(subset.path, plan, windows) @@ -747,15 +779,15 @@ def select(plan): lengths = {row["SN"]: row["LN"] for row in header.get("SQ", [])} elsewhere, skipped = (_split_alignments(index, selected[0], plan["source"]["regions"], lengths) if split else ([], Counter())) - if len(elsewhere) > SPLIT_REGIONS: + if len(elsewhere) > split_regions: raise IntegrityError(f"{plan['file'].key}: the kept templates' split alignments lie in " - f"{len(elsewhere)} more regions, over the limit of {SPLIT_REGIONS}") + f"{len(elsewhere)} more regions, over the limit of {split_regions}") assembly = plan["source"]["assembly"] added, crowded = [], 0 for contig, start, end in elsewhere: region = Region(contig, start, end, assembly, lengths[contig] if contig in MITOCHONDRIA else None) try: # a region in a pileup (a repeat that draws millions of reads) costs more than it's worth - dataset.extract_reads(plan["file"], [region], max_records=SPLIT_DEPTH) + dataset.extract_reads(plan["file"], [region], max_records=split_depth) added.append(region) except RecordLimitError: crowded += 1 @@ -766,20 +798,32 @@ def select(plan): **plan["source"]["acquisition"]) index = _source_index(subset.path, plan, windows) selected = _select_source(plan, index, windows, targets, caps, low_quality_alt, structural["cap"]) - return plan, subset, added, crowded, skipped, selected + if checkpoint_path is not None: + result = dict(source=plan["source"], records=subset.receipt["records"], added=_region_dicts(added), + crowded=crowded, skipped=dict(skipped), selected=selected) + write_json(checkpoint_path, dict(key=key, sha256=stable_id(result), result=result)) + return plan, subset.receipt["records"], added, crowded, skipped, selected - problems, results = [], {} + problems, results, failures = [], {}, [] with ThreadPoolExecutor(max_workers=workers) as pool: - for future in as_completed([pool.submit(select, plan) for plan in plans]): - plan, subset, added, crowded, skipped, (members, fixtures, missing) = future.result() + futures = {pool.submit(select, plan): plan for plan in plans} + for future in as_completed(futures): + try: + plan, record_count, added, crowded, skipped, (members, fixtures, missing) = future.result() + except Exception as error: + log(f"FAILED {futures[future]['file'].key}: {error}") + failures.append(error) + continue results[plan["label"]] = (plan, members, fixtures) problems += missing - log(f"{plan['file'].key}: read {plural(subset.receipt['records'], 'record')}, " + log(f"{plan['file'].key}: read {plural(record_count, 'record')}, " f"kept {plural(len(members) + len(fixtures), 'member')}" + (f", with split alignments in {plural(len(added), 'more region')}" if added else "") + (f"; left out {plural(crowded, 'region')} of split alignments in a pileup" if crowded else "") + (f"; passed over {plural(sum(skipped.values()), 'split alignment')} (" + ", ".join(f"{n} {why}" for why, n in sorted(skipped.items())) + ")" if skipped else "")) + if failures: + raise failures[0] if problems: # Every source was read (and its extraction cached), so a rerun after fixing these is quick. raise IntegrityError(f"{len(problems)} required fixtures couldn't be matched:\n" + "\n".join(problems)) @@ -956,11 +1000,11 @@ def _sv_entry(sv, candidates): from .fixtures import load_panel if sv in candidates: base, origin = candidates[sv], {"sv_candidates": sv} - elif sv in (regressions := load_panel("sv-regressions-v1")): - base, origin = regressions[sv], {"panel": "sv-regressions-v1", "id": sv} + elif sv in (regressions := load_panel("sv-regressions-v2")): + base, origin = regressions[sv], {"panel": "sv-regressions-v2", "id": sv} else: raise ValueError(f"No SV {sv}: give an SV candidate ID, from load_sv_candidates() (see the SV candidates " - "docs), or a regression target from load_panel('sv-regressions-v1')") + "docs), or a regression target from load_panel('sv-regressions-v2')") if base.get("kind") == "unresolved" or len(base.get("breakends", ())) < 2: raise ValueError(f"{sv} has no two resolved breakends to take reads between" + (f" ({base['reason']})" if base.get("reason") else "")) diff --git a/scripts/shared_test_data/audit_comprehensive.py b/scripts/shared_test_data/audit_comprehensive.py new file mode 100644 index 0000000..e0c8bcf --- /dev/null +++ b/scripts/shared_test_data/audit_comprehensive.py @@ -0,0 +1,180 @@ +"""Verify the built corpus and recount negative-control SNVs before sampling. + +python scripts/shared_test_data/audit_comprehensive.py build/comprehensive + +Recounts the unsampled control extracts, not the balanced fixture BAMs. No +network is used. Run controls_comprehensive.py first to preserve those extracts. +""" + +import argparse +import copy +import gzip +import hashlib +import json +import sys +from collections import Counter +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[2])) + +from osteosarc import Dataset, Region, verify_bundle # noqa: E402 +from osteosarc.cache import digest, stable_id # noqa: E402 +from osteosarc.corpus import ( # noqa: E402 + AUDIT_SNVS, + NEGATIVE_CONTROLS, + RNA_ASSAYS, + snv_read_support, +) +from osteosarc.reads import resolve_regions # noqa: E402 +from osteosarc.reference import reference_sequence # noqa: E402 +from osteosarc.shared import bundle_fixtures, bundle_folder, read_json # noqa: E402 + +ROOT = Path(__file__).resolve().parents[2] +INPUT = ROOT / "tests/data/comprehensive" + + +def audit(output, cache=None): + spec = read_json(INPUT / "spec.json") + catalog = read_json(INPUT / "catalog.json.gz") + bundle = output / spec["id"] + manifest = verify_bundle(bundle) + recipe = read_json(bundle / "recipe.json") + if recipe["snapshot"] != spec["snapshot"] or stable_id(recipe) != manifest["recipe_sha256"]: + raise ValueError("Bundle snapshot or recipe changed") + data = Dataset.open(spec["snapshot"]["name"], cache=cache, offline=True) + if data.id != recipe["snapshot"]["id"]: + raise ValueError("Audit snapshot differs") + previous_bundle = bundle_folder("openvax-v2", cache=data.cache) + previous_recipe = read_json(previous_bundle / "recipe.json") + carried = bundle_fixtures(previous_bundle) + for name, required in carried.items(): + if manifest["members"][name]["records"] != required["records"]: + raise ValueError(f"Historical library records changed: {name}") + targets = recipe["targets"] + # Exact-record rebuilding needs no website snapshot when the public index + # URLs accompany the frozen source identities. The original recipe stays intact. + portable = copy.deepcopy(recipe) + for source in portable["sources"].values(): + file = data.file(source["identity"]["key"]) + if not file.index_urls: + raise ValueError(f"No public index for {file.key}") + source["identity"].update(index_urls=list(file.index_urls), format=file.format) + (output / "portable-recipe.json").write_text(json.dumps(portable, sort_keys=True, indent=1) + "\n") + contexts = {} + for name, target in targets.items(): + context = target.get("window", {}).get("context") + if context is None: + continue + sequence = reference_sequence(target["contig"], context["start"], context["end"], target["assembly"], + cache=data.cache, reference_length=target.get("reference_length")) + if hashlib.sha256(sequence.encode()).hexdigest() != context["sha256"]: + raise ValueError(f"Reference context changed: {name}") + offset = target["position"] - 1 - context["start"] + if sequence[offset:offset + len(target["ref"])] != target["ref"]: + raise ValueError(f"REF mismatch: {name}") + contexts[name] = dict(contig=target["contig"], assembly=target["assembly"], **context, sequence=sequence) + (output / "reference-contexts.json.gz").write_bytes(gzip.compress( + (json.dumps(contexts, sort_keys=True, separators=(",", ":")) + "\n").encode(), mtime=0)) + vaccinated = {vid for vid, v in catalog["variants"].items() if v["vaccine"]["included"]} + by_pair = {(m["source"], m["target"]): (name, m) for name, m in recipe["members"].items()} + expected_sources = set(spec["sources"]["all_targets"]) + actual_sources = {s["identity"]["url"] for s in recipe["sources"].values()} + if expected_sources - actual_sources: + raise ValueError("An all-target source is absent") + for sid, source in recipe["sources"].items(): + if source["identity"]["url"] not in expected_sources: + continue + for vid in vaccinated: + if (sid, vid) not in by_pair: + raise ValueError(f"Vaccine allele not covered in source plan: {sid} / {vid}") + if targets[vid]["kind"] != "small_variant" or "unavailable" in targets[vid]["window"]: + raise ValueError(f"Vaccine allele is not reference validated: {vid}") + members = [] + for name, member in recipe["members"].items(): + target = targets[member["target"]] + members.append(dict(name=name, target=member["target"], source=member["source"], + target_kind=target["kind"], observed_before_sampling=member.get("observed"), + selected_record_count=manifest["members"][name]["record_count"], + selected_record_sha256=stable_id(manifest["members"][name]["records"]), + status=manifest["members"][name]["status"], + interpretation="Geometric joining templates, not exact DNA-allele confirmation." + if target["kind"] == "sv" else "Balanced fixtures are not abundance estimates.")) + audits = [] + import pysam + control_data = read_json(output / "controls/audit.json") + if control_data["snapshot"] != spec["snapshot"] or control_data["catalog_sha256"] != digest(INPUT / "catalog.json.gz"): + raise ValueError("Control extracts refer to other inputs") + for name, checksum in control_data["files"].items(): + if digest(output / "controls" / name) != checksum: + raise ValueError(f"Control extract changed: {name}") + if {a["source_url"] for a in control_data["audits"]} != expected_sources: + raise ValueError("Control extracts do not cover every all-target source") + for sid, source in recipe["sources"].items(): + if source["identity"]["url"] not in expected_sources: + continue + saved = [a for a in control_data["audits"] if a["source_url"] == source["identity"]["url"]] + if len(saved) != len(AUDIT_SNVS) or {a["variant_id"] for a in saved} != set(AUDIT_SNVS): + raise ValueError(f"Control audit has missing/duplicate rows: {sid}") + with pysam.AlignmentFile(str(output / saved[0]["extract_file"])) as bam: + for vid in AUDIT_SNVS: + chrom, pos, ref, alt = catalog["variants"][vid]["allele"] + region = resolve_regions([Region(chrom, pos - 1, pos, "GRCh38")], bam.header.to_dict())[0] + evidence = snv_read_support(bam.fetch(region.contig, region.start, region.end), pos, ref, alt) + original = next(a for a in saved if a["variant_id"] == vid) + if any(original[k] != v for k, v in evidence.items()): + raise ValueError(f"Independent control counts changed: {sid} / {vid}") + audits.append(original) + print(f"Audited {sid}", flush=True) + # Prove that every reported tumor RNA product was independently checked. + expected_rna = {f["url"] for s in catalog["count_sources"].values() if s["assay_type"] in RNA_ASSAYS + for f in s["files"]} + # Do not certify controls across two labels for the reviewed Tempus overlap. + from osteosarc.models import Files + Files(data.file(url) for url in expected_rna).require_no_known_overlaps() + for vid in NEGATIVE_CONTROLS: + if expected_rna - {a["source_url"] for a in audits if a["variant_id"] == vid}: + raise ValueError(f"Negative control RNA audit incomplete: {vid}") + discrepancies = [dict(variant_id=a["variant_id"], source=a["source"], alt_templates=a["templates"]["alt"]) + for a in audits if a["source_url"] in expected_rna and a["templates"]["alt"] > 0] + historical = [] + for row in catalog["known_rna_disagreements"]: + original = previous_recipe["members"][row["member"]]["policy"]["records"] + current = [name for name, member in recipe["members"].items() + if recipe["sources"][member["source"]]["identity"]["url"] == row["source_url"] + and all(manifest["members"][name]["records"].get(key, 0) >= count + for key, count in original.items())] + if not current: + raise ValueError(f"Historical RNA disagreement records were lost: {row['member']}") + historical.append(dict(row, current_read_members=sorted(current), + historical_selected_records_preserved=sum(original.values()))) + report = dict(schema_version=1, snapshot=spec["snapshot"], manifest_sha256=digest(bundle / "manifest.json"), + catalog_sha256=digest(INPUT / "catalog.json.gz"), suitable_for_abundance=False, + controls_audit_sha256=digest(output / "controls/audit.json"), + portable_recipe_sha256=digest(output / "portable-recipe.json"), + reference_contexts_sha256=digest(output / "reference-contexts.json.gz"), + library_fixtures_preserved=len(carried), vaccine_variants=len(vaccinated), + verified_reference_contexts=len(contexts), + all_target_sources=len(expected_sources), source_count=len(recipe["sources"]), + member_count=len(members), statuses=dict(Counter(m["status"] for m in members)), + unresolved_targets={k: t for k, t in targets.items() if t["kind"] == "unresolved"}, + unavailable_allele_windows={k: t["window"] for k, t in targets.items() if "unavailable" in t.get("window", {})}, + sources=recipe["sources"], members=members, snv_control_audit=audits, + published_zero_rna_discrepancies=discrepancies, + known_historical_rna_disagreements=historical, + supplementary_policy=spec["selection"], + supplementary_limitations="MAPQ-zero, malformed, absent-contig SA entries and regions exceeding split_depth are excluded; see acquisition log.") + (output / "read-audit.json.gz").write_bytes(gzip.compress( + (json.dumps(report, sort_keys=True, separators=(",", ":")) + "\n").encode(), mtime=0)) + summary = {k: report[k] for k in ("vaccine_variants", "all_target_sources", "source_count", "member_count", "statuses", + "library_fixtures_preserved", "unresolved_targets", "unavailable_allele_windows", + "published_zero_rna_discrepancies", "known_historical_rna_disagreements")} + (output / "audit-summary.json").write_text(json.dumps(summary, indent=2, sort_keys=True) + "\n") + print(json.dumps(summary, indent=2)) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("output", type=Path) + parser.add_argument("--cache") + args = parser.parse_args() + audit(args.output, args.cache) diff --git a/scripts/shared_test_data/build_comprehensive.py b/scripts/shared_test_data/build_comprehensive.py new file mode 100644 index 0000000..8b24d33 --- /dev/null +++ b/scripts/shared_test_data/build_comprehensive.py @@ -0,0 +1,77 @@ +"""Build the unpublished comprehensive corpus without changing release records. + +python scripts/shared_test_data/build_comprehensive.py build/comprehensive + +The recipe is checkpointed before packing. Interrupted read acquisition is cached; +rerunning reuses it. --offline proves that a completed build is reproducible locally. +""" + +import argparse +import json +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[2])) + +from osteosarc import Dataset, generate_bundle, verify_bundle # noqa: E402 +from osteosarc.cache import digest, stable_id # noqa: E402 +from osteosarc.provenance import evidence_overlaps # noqa: E402 +from osteosarc.shared import ( # noqa: E402 + build_shared_recipe, + bundle_fixtures, + bundle_folder, + pack_release, + read_json, +) + +ROOT = Path(__file__).resolve().parents[2] +INPUT = ROOT / "tests/data/comprehensive" + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("output", type=Path) + parser.add_argument("--cache") + parser.add_argument("--offline", action="store_true") + parser.add_argument("--workers", type=int, default=6) + args = parser.parse_args() + spec = read_json(INPUT / "spec.json") + data = Dataset.open(spec["snapshot"]["name"], cache=args.cache, offline=args.offline) + args.output.mkdir(parents=True, exist_ok=True) + recipe_path = args.output / "recipe.json" + stamp_path = args.output / "inputs.json" + stamp = dict(spec_sha256=stable_id(spec), snapshot_id=data.id, carry="openvax-v2", + carry_regions="record_starts", + evidence_overlaps_sha256=digest(ROOT / "osteosarc/data/evidence-overlaps.json")) + carried = bundle_fixtures(bundle_folder("openvax-v2", cache=data.cache), compact_regions=True) + if recipe_path.exists(): + if read_json(stamp_path) != stamp: + raise ValueError("Checkpoint inputs changed; choose a new output folder") + recipe = read_json(recipe_path) + else: + recipe = build_shared_recipe(spec, data, required=carried, workers=args.workers, + checkpoint=args.output / "selections", + log=lambda message: print(message, flush=True)) + for source in recipe["sources"].values(): + if overlaps := evidence_overlaps(source["identity"]["url"]): + source["evidence_overlaps"] = overlaps + stamp_path.write_text(json.dumps(stamp, indent=2) + "\n") + recipe_path.write_text(json.dumps(recipe, sort_keys=True, indent=1) + "\n") + bundle = args.output / spec["id"] + if not bundle.exists(): + generate_bundle(recipe, bundle, dataset=data, size_budget=1024**3) + manifest = verify_bundle(bundle) + if manifest["recipe_sha256"] != stable_id(recipe): + raise ValueError("Existing bundle differs from the checkpoint") + for name, subset in carried.items(): + if manifest["members"][name]["records"] != subset["records"]: + raise ValueError(f"Carried fixture changed: {name}") + archive = args.output / (spec["id"] + ".tar.gz") + record = dict(pack_release(bundle, archive), **stamp, published=False, + library_fixtures_preserved=len(carried)) + (args.output / "build.json").write_text(json.dumps(record, indent=2) + "\n") + print(json.dumps(dict(bundle=str(bundle), archive=str(archive), **record), indent=2)) + + +if __name__ == "__main__": + main() diff --git a/scripts/shared_test_data/catalog_comprehensive.py b/scripts/shared_test_data/catalog_comprehensive.py new file mode 100644 index 0000000..d8778b9 --- /dev/null +++ b/scripts/shared_test_data/catalog_comprehensive.py @@ -0,0 +1,84 @@ +"""Freeze/rebuild the comprehensive evidence catalogue, independently of read sampling. + +python scripts/shared_test_data/catalog_comprehensive.py --freeze +python scripts/shared_test_data/catalog_comprehensive.py # deterministic, offline +""" + +import argparse +import gzip +import json +import sys +from collections import defaultdict +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[2])) + +from osteosarc import Dataset # noqa: E402 +from osteosarc.cache import digest # noqa: E402 +from osteosarc.corpus import evidence_catalog # noqa: E402 +from osteosarc.shared import read_json # noqa: E402 +from osteosarc.sv_candidates import load_sv_candidates # noqa: E402 + +ROOT = Path(__file__).resolve().parents[2] +FOLDER = ROOT / "tests/data/comprehensive" + + +def write_gzip(path, value): + raw = (json.dumps(value, sort_keys=True, separators=(",", ":"), ensure_ascii=False) + "\n").encode() + path.write_bytes(gzip.compress(raw, mtime=0)) + + +def freeze(folder): + spec = read_json(folder / "spec.json") + data = Dataset.open(spec["snapshot"]["name"]) + if data.id != spec["snapshot"]["id"]: + raise ValueError("Snapshot ID differs from the pinned spec") + aliases = read_json(folder / "count-source-aliases.json") + bams = [f for f in data.files if f.format == "bam"] + by_name = defaultdict(list) + for file in bams: + by_name[file.key.rsplit("/", 1)[-1]].append(file) + count_sources = {} + for name in sorted({r["bam_file"] for r in data.vafs}): + files = [data.file(aliases[name])] if name in aliases else by_name[name] + count_sources[name] = dict( + identity_status="sample_catalog_alias" if name in aliases else + "unique_basename" if len(files) == 1 else "ambiguous" if files else "unresolved", + files=[dict(id=f.id, key=f.key, url=f.url, samples=list(f.samples), + conflicts=f.conflicts) for f in files]) + samples = [{key: row[key] for key in ("id", "timepoint", "date", "tissue", "site", "description", "sequencing")} + for row in data.samples.to_records()] + source_files = ("variant_index", "source_variants", "vaccine_overlap", "vafs", "vaf_columns", "bams", + "bam_metadata", "specimens") + inputs = dict(snapshot=spec["snapshot"], variants=data.variants("all").to_records(), + vaccine_rows=list(data.vaccines), counts=list(data.vafs), count_sources=count_sources, + samples=samples, structural_candidates=load_sv_candidates(), + historical_rna=read_json(folder / "historical-rna.json"), + provenance=dict(sources={k: {f: data.manifest["sources"][k].get(f) for f in + ("url", "sha256", "size", "retrieved_at")} + for k in source_files}, + corrections="osteosarc curated snapshot; corrections retained per row/variant", + aliases=aliases, aliases_basis="Explicit T1/T2/T3/CD45neg CellRanger sample paths in bams.json", + curation_sha256=digest(ROOT / "osteosarc/curation.py"), + allele_resolutions_sha256=digest(ROOT / "osteosarc/data/allele_resolutions.json"))) + write_gzip(folder / "inputs.json.gz", inputs) + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--freeze", action="store_true") + parser.add_argument("--folder", type=Path, default=FOLDER) + args = parser.parse_args() + if args.freeze: + freeze(args.folder) + catalog = evidence_catalog(read_json(args.folder / "inputs.json.gz")) + write_gzip(args.folder / "catalog.json.gz", catalog) + checksums = {name: digest(args.folder / name) for name in + ("inputs.json.gz", "catalog.json.gz", "spec.json", "count-source-aliases.json", "historical-rna.json")} + (args.folder / "checksums.json").write_text(json.dumps(checksums, indent=2, sort_keys=True) + "\n") + (args.folder / "summary.json").write_text(json.dumps(catalog["summary"], indent=2, sort_keys=True) + "\n") + print(json.dumps(catalog["summary"], indent=2)) + + +if __name__ == "__main__": + main() diff --git a/scripts/shared_test_data/controls_comprehensive.py b/scripts/shared_test_data/controls_comprehensive.py new file mode 100644 index 0000000..f8a51cc --- /dev/null +++ b/scripts/shared_test_data/controls_comprehensive.py @@ -0,0 +1,79 @@ +"""Recount and preserve all reads at the negative and discordant control SNVs. + +python scripts/shared_test_data/controls_comprehensive.py build/comprehensive + +These unsampled one-base extracts make the independent count audit reproducible +from the delivered data, without the much larger cached regional extracts. +""" + +import argparse +import json +import shutil +import sys +from concurrent.futures import ThreadPoolExecutor, as_completed +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[2])) + +from osteosarc import Dataset, Region # noqa: E402 +from osteosarc.cache import digest # noqa: E402 +from osteosarc.corpus import AUDIT_SNVS, snv_read_support # noqa: E402 +from osteosarc.reads import resolve_regions # noqa: E402 +from osteosarc.shared import read_json # noqa: E402 + +ROOT = Path(__file__).resolve().parents[2] +INPUT = ROOT / "tests/data/comprehensive" + + +def recount(output, cache=None, offline=False): + spec = read_json(INPUT / "spec.json") + catalog = read_json(INPUT / "catalog.json.gz") + data = Dataset.open(spec["snapshot"]["name"], cache=cache, offline=offline) + if data.id != spec["snapshot"]["id"]: + raise ValueError("Snapshot differs from the spec") + destination = output / "controls" + destination.mkdir(parents=True, exist_ok=True) + regions = [Region(catalog["variants"][vid]["allele"][0], catalog["variants"][vid]["allele"][1] - 1, + catalog["variants"][vid]["allele"][1], "GRCh38") for vid in AUDIT_SNVS] + + def one(url): + file = data.file(url) + label = data.short_name(file) + subset = data.extract_reads(file, regions, fetch_pairs=False, timeout=600) + bam_path = destination / (label + ".bam") + shutil.copyfile(subset.path, bam_path) + shutil.copyfile(str(subset.path) + ".bai", str(bam_path) + ".bai") + sha256 = digest(bam_path) + rows = [] + with subset.open() as bam: + for vid in AUDIT_SNVS: + chrom, pos, ref, alt = catalog["variants"][vid]["allele"] + region = resolve_regions([Region(chrom, pos - 1, pos, "GRCh38")], bam.header.to_dict())[0] + evidence = snv_read_support(bam.fetch(region.contig, region.start, region.end), pos, ref, alt) + rows.append(dict(variant_id=vid, source=label, source_url=file.url, samples=list(file.samples), + assay=file.resolved("assay"), source_extract_sha256=sha256, + extract_file=bam_path.relative_to(output).as_posix(), **evidence)) + return label, rows, subset.receipt + + rows, receipts = [], {} + with ThreadPoolExecutor(max_workers=4) as pool: + for future in as_completed([pool.submit(one, url) for url in spec["sources"]["all_targets"]]): + label, found, receipt = future.result() + rows.extend(found) + receipts[label] = receipt + print(f"Recounted {label}: " + ", ".join(f"{r['variant_id'].split('-chr')[0]} " + f"alt={r['templates']['alt']} ref={r['templates']['ref']}" for r in found), flush=True) + result = dict(snapshot=spec["snapshot"], catalog_sha256=digest(INPUT / "catalog.json.gz"), + audits=sorted(rows, key=lambda r: (r["source"], r["variant_id"])), + acquisition=receipts, files={p.name: digest(p) for p in sorted(destination.glob("*.bam*"))}, + interpretation="Unsampled regional reads; quality-filtered template counts, not transcript abundance.") + (destination / "audit.json").write_text(json.dumps(result, sort_keys=True, indent=2) + "\n") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("output", type=Path) + parser.add_argument("--cache") + parser.add_argument("--offline", action="store_true") + args = parser.parse_args() + recount(args.output, args.cache, args.offline) diff --git a/scripts/shared_test_data/package_comprehensive.py b/scripts/shared_test_data/package_comprehensive.py new file mode 100644 index 0000000..9e1a378 --- /dev/null +++ b/scripts/shared_test_data/package_comprehensive.py @@ -0,0 +1,107 @@ +"""Pack the evidence, verified reads, audit and reproduction code in one archive.""" + +import argparse +import gzip +import io +import json +import subprocess +import sys +import tarfile +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[2])) + +from osteosarc import verify_bundle # noqa: E402 +from osteosarc.cache import digest # noqa: E402 +from osteosarc.shared import read_json # noqa: E402 + +ROOT = Path(__file__).resolve().parents[2] +INPUT = ROOT / "tests/data/comprehensive" + + +def package(output, *, evidence_only=False): + from verify_evidence_comprehensive import verify + verify(output) + spec = read_json(INPUT / "spec.json") + bundle = output / spec["id"] + if not evidence_only: + verify_bundle(bundle) + audit = read_json(output / "read-audit.json.gz") + if audit["manifest_sha256"] != digest(bundle / "manifest.json"): + raise ValueError("Audit is for another read bundle") + if audit["catalog_sha256"] != digest(INPUT / "catalog.json.gz"): + raise ValueError("Audit is for another evidence catalogue") + for name, field in (("controls/audit.json", "controls_audit_sha256"), + ("portable-recipe.json", "portable_recipe_sha256"), + ("reference-contexts.json.gz", "reference_contexts_sha256")): + if audit[field] != digest(output / name): + raise ValueError(f"Audited artifact changed: {name}") + for name, checksum in read_json(output / "controls/audit.json")["files"].items(): + if digest(output / "controls" / name) != checksum: + raise ValueError(f"Audited control extract changed: {name}") + for name, checksum in read_json(INPUT / "checksums.json").items(): + if digest(INPUT / name) != checksum: + raise ValueError(f"Evidence input changed: {name}") + files = {"evidence/" + p.name: p for p in INPUT.iterdir() if p.is_file()} + readme_path = output / ("README-evidence.md" if evidence_only else "README-dataset.md") + readme_path.write_text( + "# Osteosarc comprehensive test dataset\n\n" + + ("This archive contains the complete evidence catalogue and independently verified, unsampled control BAMs. " + "The larger balanced openvax-v3 read bundle is not included. Its build specification and code are included.\n\n" + if evidence_only else "This archive contains the evidence catalogue, unsampled controls, and verified balanced read bundle.\n\n") + + "See evidence/README.md for provenance, counting units, known exceptions and reproduction details. " + "manifest.json pins every delivered file by SHA-256. Dataset: CC0-1.0; code: Apache-2.0.\n\n" + "From this extracted directory, with Python and the dependencies in reproduction/pyproject.toml installed:\n\n" + "```sh\npython reproduction/scripts/shared_test_data/verify_evidence_comprehensive.py .\n```\n\n" + "This reproduces the catalogue and all 140 control recounts offline. It needs no source BAM downloads or website snapshot. " + "The four controls have zero high-quality ALT templates in all 15 tested tumor RNA products. " + "Coverage limitations, BTN3A3's blood-RNA summary exception, and NR2F2's historical RNA evidence are preserved explicitly.\n") + files["README.md"] = readme_path + if not evidence_only: + files.update({"reads/" + str(p.relative_to(bundle)): p for p in bundle.rglob("*") if p.is_file()}) + files.update({"controls/" + p.name: p for p in (output / "controls").iterdir() if p.is_file()}) + files["audit/evidence-audit.json"] = output / "evidence-audit.json" + if not evidence_only: + files.update({"audit/" + name: output / name for name in + ("read-audit.json.gz", "audit-summary.json", "build.json", "portable-recipe.json", + "reference-contexts.json.gz")}) + files.update({"reproduction/" + str(p.relative_to(ROOT)): p for p in + [*sorted((ROOT / "osteosarc").glob("*.py")), + *sorted((ROOT / "scripts/shared_test_data").glob("*comprehensive.py")), + ROOT / "pyproject.toml", ROOT / "README.md", ROOT / "LICENSE", ROOT / "MANIFEST.in"]}) + for folder in (ROOT / "osteosarc/data", ROOT / "tests"): + files.update({"reproduction/" + str(p.relative_to(ROOT)): p for p in folder.rglob("*") + if p.is_file() and "__pycache__" not in p.parts}) + suffix = "-evidence" if evidence_only else "" + manifest = dict(schema_version=1, id="osteosarc-comprehensive-2026-09-28" + suffix, published=False, + component="evidence-and-unsampled-controls" if evidence_only else "evidence-controls-and-balanced-reads", + snapshot=spec["snapshot"], redistribution=spec["redistribution"], + git_base=subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=ROOT, text=True).strip(), + files={name: dict(sha256=digest(path), size_bytes=path.stat().st_size) + for name, path in sorted(files.items())}) + raw_manifest = (json.dumps(manifest, sort_keys=True, indent=2) + "\n").encode() + manifest_path = output / ("dataset" + suffix + "-manifest.json") + manifest_path.write_bytes(raw_manifest) + archive = output / (manifest["id"] + ".tar.gz") + with archive.open("wb") as raw, gzip.GzipFile(filename="", fileobj=raw, mode="wb", mtime=0) as compressed, \ + tarfile.open(fileobj=compressed, mode="w", format=tarfile.PAX_FORMAT) as tar: + info = tarfile.TarInfo("manifest.json") + info.size, info.mode = len(raw_manifest), 0o644 + tar.addfile(info, io.BytesIO(raw_manifest)) + for name, path in sorted(files.items()): + info = tarfile.TarInfo(name) + info.size, info.mode = path.stat().st_size, 0o644 + with path.open("rb") as handle: + tar.addfile(info, handle) + record = dict(archive=archive.name, sha256=digest(archive), size_bytes=archive.stat().st_size, + manifest_sha256=digest(manifest_path), published=False) + (output / ("dataset" + suffix + "-archive.json")).write_text(json.dumps(record, indent=2) + "\n") + print(json.dumps(record, indent=2)) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("output", type=Path) + parser.add_argument("--evidence-only", action="store_true", help="Package the completed evidence and unsampled controls independently of the larger read build") + args = parser.parse_args() + package(args.output, evidence_only=args.evidence_only) diff --git a/scripts/shared_test_data/verify_evidence_comprehensive.py b/scripts/shared_test_data/verify_evidence_comprehensive.py new file mode 100644 index 0000000..698a15b --- /dev/null +++ b/scripts/shared_test_data/verify_evidence_comprehensive.py @@ -0,0 +1,81 @@ +"""Verify the complete evidence catalogue and unsampled controls offline. + +python scripts/shared_test_data/verify_evidence_comprehensive.py build/comprehensive + +This check needs neither the source BAMs nor the larger balanced read bundle. +""" + +import argparse +import json +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parents[2])) + +import pysam # noqa: E402 + +from osteosarc import Region # noqa: E402 +from osteosarc.cache import digest # noqa: E402 +from osteosarc.corpus import ( # noqa: E402 + AUDIT_SNVS, + NEGATIVE_CONTROLS, + RNA_ASSAYS, + evidence_catalog, + snv_read_support, +) +from osteosarc.reads import resolve_regions # noqa: E402 +from osteosarc.shared import read_json # noqa: E402 + +INPUT = Path(__file__).resolve().parents[2] / "tests/data/comprehensive" + + +def verify(output): + for name, checksum in read_json(INPUT / "checksums.json").items(): + if digest(INPUT / name) != checksum: + raise ValueError(f"Evidence input changed: {name}") + catalog = read_json(INPUT / "catalog.json.gz") + if evidence_catalog(read_json(INPUT / "inputs.json.gz")) != catalog: + raise ValueError("Catalogue is not reproducible from the frozen inputs") + spec = read_json(INPUT / "spec.json") + control = read_json(output / "controls/audit.json") + if control["snapshot"] != spec["snapshot"] or control["catalog_sha256"] != digest(INPUT / "catalog.json.gz"): + raise ValueError("Controls refer to different evidence inputs") + for name, checksum in control["files"].items(): + if digest(output / "controls" / name) != checksum: + raise ValueError(f"Control file changed: {name}") + expected = {(url, vid) for url in spec["sources"]["all_targets"] for vid in AUDIT_SNVS} + rows = control["audits"] + if len(rows) != len(expected) or {(r["source_url"], r["variant_id"]) for r in rows} != expected: + raise ValueError("Control audit is missing or duplicates variant/source pairs") + for row in rows: + chrom, pos, ref, alt = catalog["variants"][row["variant_id"]]["allele"] + path = output / row["extract_file"] + if digest(path) != row["source_extract_sha256"]: + raise ValueError(f"Wrong source extract: {path}") + with pysam.AlignmentFile(str(path)) as bam: + region = resolve_regions([Region(chrom, pos - 1, pos, "GRCh38")], bam.header.to_dict())[0] + actual = snv_read_support(bam.fetch(region.contig, region.start, region.end), pos, ref, alt) + if any(row[k] != value for k, value in actual.items()): + raise ValueError(f"Control recount differs: {row['source']} / {row['variant_id']}") + rna = {f["url"] for s in catalog["count_sources"].values() if s["assay_type"] in RNA_ASSAYS for f in s["files"]} + negative = [r for r in rows if r["source_url"] in rna and r["variant_id"] in NEGATIVE_CONTROLS] + if len(negative) != len(rna) * len(NEGATIVE_CONTROLS): + raise ValueError("Not all reported RNA sources were independently recounted") + discrepancies = [r for r in negative if r["templates"]["alt"] > 0] + report = dict(schema_version=1, component="evidence-and-unsampled-controls", snapshot=spec["snapshot"], + catalog_sha256=digest(INPUT / "catalog.json.gz"), controls_audit_sha256=digest(output / "controls/audit.json"), + catalogue_rebuilt_exactly=True, control_recounts_verified=len(rows), + tumor_rna_negative_recounts=len(negative), published_zero_rna_discrepancies=discrepancies, + negative_controls=catalog["negative_controls"], known_rna_disagreements=catalog["known_rna_disagreements"], + summary=catalog["summary"], + broader_read_bundle="Verified separately by audit_comprehensive.py; not certified by this report.") + (output / "evidence-audit.json").write_text(json.dumps(report, sort_keys=True, indent=2) + "\n") + print(json.dumps({k: report[k] for k in ("catalogue_rebuilt_exactly", "control_recounts_verified", + "tumor_rna_negative_recounts", "published_zero_rna_discrepancies")}, indent=2)) + return report + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("output", type=Path) + verify(parser.parse_args().output) diff --git a/tests/data/comprehensive/README.md b/tests/data/comprehensive/README.md new file mode 100644 index 0000000..6ccd0d9 --- /dev/null +++ b/tests/data/comprehensive/README.md @@ -0,0 +1,191 @@ +# Comprehensive vaccine / RNA regression corpus + +Pinned to osteosarc snapshot **2026-09-28**, ID +`efb65d4b683bda162879c86c0ea889afcc64704b5228224c061109f306503b91`. +Dataset license: CC0-1.0. Code: Apache-2.0. + +This corpus contains every vaccine-associated small variant found in any of the +site's three membership sources, longitudinal RNA evidence, DNA evidence and +matched-normal controls, frameshifts, and structural-variant regressions. +`openvax-v3` is a local candidate; it has not been published or made the default. + +## Contents + +| File | Contents | +| --- | --- | +| `catalog.json.gz` | Evidence catalogue; ordinary gzip-compressed JSON | +| `inputs.json.gz` | Frozen corrected inputs, original annotations, and source checksums; sufficient to rebuild the catalogue offline | +| `spec.json` | Reproducible read-selection specification; carries every library fixture from openvax-v2 | +| `count-source-aliases.json` | Explicit CellRanger count-table aliases and public sample paths | +| `historical-rna.json` | 293 pre-sampling RNA observations from the verified openvax-v2 recipe, with source and assembly identities | +| `checksums.json` | SHA-256 of the frozen inputs and derived catalogue | +| `summary.json` | Checked catalogue totals | + +The catalogue has **202 small-variant entries**, including **51 vaccine +variants** and **12 annotated frameshifts**. It retains unresolved entries and +additional count-table alleles. A genomic length change modulo three is recorded +separately: that alone does not establish a coding frameshift. + +The website's index marks only 44 variants as vaccinated. Seven further mRNA +targets appear in its vaccine-overlap table: ABI3BP, ANKRD17, ASPM, EXD3, PPP1R3F, +PRRC2C and SPG11. All **38 overlap rows** are preserved, including the two TECPR1 +rows. Membership assertions from the index, source-variant flags and overlap +table stay separate; the inclusion policy is their union. Peptides and ELISPOT +annotations remain source assertions, with unknowns intact. + +`allele_support` is a complete **202 × 37 = 7,474** matrix of variant × reported +BAM. This includes **15 tumor RNA products across T0–T3**, spanning bulk RNA, +short-read single-cell RNA and ONT, as well as tumor, organoid and normal DNA. +The 21-sample registry is included. `source_reported_support` additionally +preserves the site's depth/rounded-VAF summaries, including longitudinal blood +GEX/CITE-seq. These summaries are not independently recounted raw allele counts. +Samples without a measurement remain without a measurement. + +`structural_candidates` preserves **all 637 candidates**, their original calls, +breakends, adjacency-group IDs, expression annotations and sample-specific RNA +evidence. The read specification covers **28 structural targets**, including +the seven existing fusion regressions and additional MAP4, TENM1, CNOT3/LENG1, +RUNX1, TGFBR2 and TFDP2 cases. Unresolved breakends remain explicit. Ordinary +splicing, nearby geometry and exact DNA-allele evidence are separate fields; +joining reads alone do not validate a rearrangement or neoantigen. + +## RNA-negative SNV controls + +Four SNVs have strong DNA evidence and zero reported alternate reads in +**all 15 tumor RNA products**. Their RNA coverage is explicitly distinguished: + +| Variant | Example tumor DNA alt/depth | Timepoint | RNA control class | +| --- | --- | --- | --- | +| ACE chr17:63497361 | 12/90, BostonGene WES | T1 | Covered, no ALT | +| BTN3A3 chr6:26448446 | 11/71, Personalis WGS | T0 | Covered, no ALT | +| CTSE chr1:206022947 | 47/381, BostonGene WES | T1 | Insufficient coverage | +| DBH chr9:133652279 | 181/603, BostonGene WES | T0 | Insufficient coverage | + +Each comparison requires tumor DNA depth ≥50, alternate reads ≥10 and VAF ≥10%; +normal DNA from the same provider, assay and timepoint with depth ≥30 and VAF +≤1%. The covered controls additionally require RNA reference reads ≥20 at that +timepoint. CTSE and DBH have fewer than 20 reference reads in every reported +RNA product; they test the distinction between absent alternate support and +insufficient coverage. The catalogue records every qualifying comparison and +its BAM identities. These criteria do not establish conclusively somatic status. + +The negative-control scope is **tumor RNA**, not every tissue. BTN3A3 has a +separate blood CITE-seq summary (December 2025) reporting VAF 0.0023 at depth +435. This is preserved in `nonzero_rna_summary_exceptions`, without inferring +an integer ALT count or treating the small signal as independently validated. +ACE, CTSE and DBH have no nonzero RNA summary exceptions in the frozen inputs. + +**NR2F2 chr15:96332299 is a disagreement case, not a negative control.** The +current count table reports zero RNA ALT, but the historical GRCh37 CeGaT +P116686_3 fixture records **7 alternate templates** before sampling. Its original +allele, assembly, source and observed counts remain in `known_rna_disagreements`. +Historical RNA support is checked before admitting a negative control. +The read audit also verifies preservation of every selected historical NR2F2 +record and identifies the current library members containing them. Its seven +historical ALT templates use the original, unfiltered classifier; they are not +claimed to pass the independent MAPQ/NH/base-quality policy below. + +The read audit independently recounts these loci from **full regional extracts +before fixture sampling**. It collapses RG/QNAME templates, excludes duplicate, +secondary, supplementary, unmapped and QC-failed records, and requires MAPQ ≥20 +and base quality ≥20. MAPQ 255 is accepted only with NH=1; missing base qualities +are unknown. Overlapping mates with conflicting bases count as `other`. +Any alternate reads contradicting the published zeros are reported in +`published_zero_rna_discrepancies`, not hidden by changing thresholds. + +## Meaning of a support cell + +| Status | Meaning | +| --- | --- | +| `alt_observed` | At least one alternate read reported; not a confidence threshold | +| `covered_no_alt` | Measured reference support and zero alternate reads | +| `no_coverage` | Measured depth is zero | +| `other_only` | Coverage exists, but neither REF nor ALT was observed | +| `not_measured` | Missing row, missing count, or counts invalidated by a correction | +| `unresolved_allele` | No usable literal allele; never a negative observation | + +Do not sum processing products as independent biological replicates. The +catalogue reports ambiguous BAM basenames instead of guessing a public file. +Neither a rounded VAF of zero nor an absent RNA record proves absent expression. +Published counts retain their original counting units and unspecified filtering; +the independently recounted template counts have their own explicit filters. + +## Build and verify + +From the repository root, with the pinned snapshot in the cache: + +```sh +python scripts/shared_test_data/catalog_comprehensive.py +python scripts/shared_test_data/controls_comprehensive.py build/comprehensive +python scripts/shared_test_data/verify_evidence_comprehensive.py build/comprehensive +python scripts/shared_test_data/build_comprehensive.py build/comprehensive +python scripts/shared_test_data/audit_comprehensive.py build/comprehensive +python scripts/shared_test_data/package_comprehensive.py build/comprehensive +python -m pytest tests/test_corpus.py tests/test_shared.py -q +``` + +The read build streams bounded regions, never whole remote BAMs. It writes +`build/comprehensive/openvax-v3/`, its `.tar.gz`, `recipe.json` and `build.json`. +It does not write a published release record. The audit writes +`read-audit.json.gz` and `audit-summary.json`. Reruns reuse cached extractions; +`--offline` on the build proves cached inputs suffice. +`reference-contexts.json.gz` contains the reference windows and sequence hashes +used for allele validation, including repeat-expanded indel windows. +The audit also writes `portable-recipe.json` with the public index URLs. This +can rebuild the exact selected records without the website snapshot: +`osteosarc.generate_bundle(recipe, destination, cache=osteosarc.Cache(...))`, +using an online cache for first acquisition. The portable recipe has a different +recipe checksum because it adds index metadata; selected record identities stay +the same. Reading the supplied bundle itself requires no source BAMs or snapshot. +The packaging command writes `osteosarc-comprehensive-2026-09-28.tar.gz`, +containing `evidence/`, `reads/`, `audit/`, reproduction source code and a +per-file checksum manifest. Its checksum is in `dataset-archive.json`. +The evidence and unsampled controls can also be verified and packaged separately: +`python scripts/shared_test_data/package_comprehensive.py build/comprehensive --evidence-only`. +That archive is explicitly labeled `-evidence`; it does not contain or certify the +larger balanced read bundle. Its checksum is in `dataset-evidence-archive.json`. +`controls/` contains unsampled, indexed BAMs at the four negative-control +positions and the NR2F2 disagreement position, with acquisition receipts, so the independent recount can be +repeated from the delivered files without downloading any BAMs. + +Every selected record is pinned with its binary BAM identity and multiplicity. +All openvax-v2 library members are checked for exact preservation. Vaccine +coverage is checked against every all-target source, including empty members. +Carry-forward acquisition queries known mapped record starts, avoiding the long +introns spanned by historical fixture windows; every required binary record and +its multiplicity must still be recovered. +The new recipe gives the GABBR1/SLC29A1, OTUD7A/FMN1 and PARD3B/CDKN2B fusions +explicit retained sides, per issue #96, without changing published panels. +The comprehensive selection permits up to 2,000 supplementary regions per source +(the expanded ONT selection exceeds the old 100-region limit). +Supplementary-alignment retrieval permits up to 1,000,000 records per queried +region; MAPQ-zero/invalid SA entries, absent contigs and over-limit regions are +excluded and reported by the acquisition log. + +Read fixtures are deliberately balanced and capped, and are **unsuitable for +abundance or VAF estimation**. Use the published support matrix or pre-sampling +observations for their respective measurements. Use fixture BAMs for testing +read handling, allele extraction, translation and downstream ranking behavior. + +```python +import gzip +import json +import osteosarc + +with gzip.open("tests/data/comprehensive/catalog.json.gz", "rt") as handle: + catalogue = json.load(handle) +vaccine_ids = [vid for vid, v in catalogue["variants"].items() + if v["vaccine"]["included"]] +rna = [r for r in catalogue["allele_support"] + if r["variant_id"] in vaccine_ids and r["assay_type"] == "RNA"] + +bam = osteosarc.bundle_file( + "build/comprehensive/openvax-v3", + "BG003082.Aligned.sortedByCoord.out.md.DYNC1H1-chr14-101980529", +) +``` + +Tests prove exact offline catalogue reproduction, all vaccine joins, complete +matrix coverage, separation of missing/zero/other-only evidence, same-timepoint +negative-control comparisons, and failure on conflicting alleles, duplicate +rows, missing RNA counts or newly positive RNA evidence. diff --git a/tests/data/comprehensive/catalog.json.gz 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+ "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/oncoanalyser/IPISRC044_T1_ucla/alignments/rna/IPISRC044_tumor_T1_ucla_rna.md.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/oncoanalyser/IPISRC044_T2_ucla/alignments/dna/IPISRC044_normal_ucla.redux.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/oncoanalyser/IPISRC044_T2_ucla/alignments/dna/IPISRC044_tumor_T2_ucla.redux.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/oncoanalyser/IPISRC044_T2_ucla/alignments/rna/IPISRC044_tumor_T2_ucla_rna.md.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/tumor/output/T1/outs/per_sample_outs/T1/sample_alignments.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/tumor/output/T2/outs/per_sample_outs/T2/sample_alignments.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/tumor/output/T3/outs/per_sample_outs/T3/sample_alignments.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/kamil/tumor/output/T3_CD45neg/outs/per_sample_outs/T3_CD45neg/sample_alignments.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/pacbio/IPISRC044_T1_sclrs_live_pbmm2_mapped.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/rna-seq/reprocessed/BG003082/BG003082.Aligned.sortedByCoord.out.md.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/rna-seq/reprocessed/BG009368/BG009368.Aligned.sortedByCoord.out.md.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/rna-seq/reprocessed/SARC0277/SARC0277.Aligned.sortedByCoord.out.md.bam", + "https://sid-sijbrandij-osteosarc-dataset.s3.us-west-2.amazonaws.com/rna-seq/reprocessed/TL-24-KCVBE1UI1P/TL-24-KCVBE1UI1P.Aligned.sortedByCoord.out.md.bam" + ] + }, + "targets": { + "catalog": "all", + "extra": [ + { + "alt": "C", + "assembly": "GRCh38", + "contig": "chr2", + "label": "historical", + "name": "MAP2-chr2-209694768-historical", + "position": 209694768, + "reason": "The site's allele before the allele-MAP2-chr2-209694768 correction; the libraries' tests still use it.", + "ref": "CCTGGGCTACTGTGTGTTCAATA", + "used_by": [ + "isovar", + "topiary", + "vaxrank" + ], + "variant_id": "MAP2-chr2-209694768" + }, + { + "alt": "T", + "assembly": "GRCh37", + "contig": "chr15", + "label": "native_grch37", + "name": "NR2F2-chr15-96332299-GRCh37", + "position": 96875528, + "reason": "The catalog allele at its GRCh37 position, for GRCh37 BAMs.", + "ref": "G", + "used_by": [ + "isovar", + "vaxrank" + ], + "variant_id": "NR2F2-chr15-96332299" + }, + { + "alt": "A", + "assembly": "GRCh37", + "contig": "chrM", + "label": "mitochondrial", + "name": "MT_ND5-chrM-12994-hg19", + "position": 12995, + "reason": "The catalog allele on hg19's chrM (16571 bases), as CeGaT's BAMs use.", + "ref": "G", + "reference_length": 16571, + "used_by": [ + "isovar", + "vaxrank" + ], + "variant_id": "MT_ND5-chrM-12994" + }, + { + "alt": "A", + "assembly": "GRCh37", + "contig": "MT", + "label": "mitochondrial", + "name": "MT_ND5-chrM-12994-GRCh37", + "position": 12994, + "reason": "The catalog allele on GRCh37's MT (the revised Cambridge sequence), as Tempus's BAMs use.", + "ref": "G", + "reference_length": 16569, + "used_by": [ + "isovar", + "vaxrank" + ], + "variant_id": "MT_ND5-chrM-12994" + }, + { + "alt": "GT", + "assembly": "GRCh38", + "contig": "chr12", + "label": "library_allele", + "name": "NTF3-chr12-5494381-compound", + "position": 5494381, + "reason": "The catalog's A>G together with the next base's G>T, as one compound allele.", + "ref": "AG", + "used_by": [ + "isovar", + "vaxrank" + ], + "variant_id": "NTF3-chr12-5494381" + } + ], + "renamed": { + "CABLES1-chr18-23135500": "CABLES1-chr18-23135764", + "CCDC40-chr17-80058951": "CCDC40-chr17-80090148", + "DCHS2-chr4-154322488": "DCHS2-chr4-154323273", + "GAPVD1-chr9-125299105": "GAPVD1-chr9-125301980", + "GOLGA6L2-chr15-23441121": "GOLGA6L2-chr15-23440197", + "USH2A-chr1-215560752": "USH2A-chr1-215650752" + }, + "structural": [ + { + "assembly": "GRCh38", + "breakends": [ + { + "contig": "chr6", + "orientation": "-", + "position": 29612905, + "retained_side": "right" + }, + { + "contig": "chr6", + "orientation": "+", + "position": 44218907, + "retained_side": "right" + } + ], + "label": "fusion", + "name": "GABBR1--SLC29A1", + "reason": "Retained sides established from junction reads in openvax-v2; https://github.com/iskandr/osteosarc/issues/96. Original panel: GABBR1-SLC29A1", + "used_by": [ + "isovar", + "topiary", + "varcode" + ] + }, + { + "assembly": "GRCh38", + "breakends": [ + { + "contig": "chr15", + "orientation": "-", + "position": 31743669, + "retained_side": "right" + }, + { + "contig": "chr15", + "orientation": "+", + "position": 33043478, + "retained_side": "right" + } + ], + "label": "fusion", + "name": "OTUD7A--FMN1", + "reason": "Retained sides established from junction reads in openvax-v2; https://github.com/iskandr/osteosarc/issues/96. Original panel: OTUD7A-FMN1", + "used_by": [ + "isovar", + "topiary", + "varcode" + ] + }, + { + "assembly": "GRCh38", + "breakends": [ + { + "contig": "chr2", + "orientation": "+", + "position": 205310103, + "retained_side": "left" + }, + { + "contig": "chr9", + "orientation": "+", + "position": 22007647, + "retained_side": "right" + } + ], + "label": "fusion", + "name": "PARD3B--CDKN2B-AS1-CDKN2B", + "reason": "Retained sides established from junction reads in openvax-v2; https://github.com/iskandr/osteosarc/issues/96. Original panel: PARD3B-CDKN2B", + "used_by": [ + "isovar" + ] + }, + { + "assembly": "GRCh38", + "breakends": [ + { + "contig": "chr11", + "orientation": null, + "position": 118401717, + "retained_side": "left" + }, + { + "contig": "chr11", + "orientation": null, + "position": 118468774, + "retained_side": "right" + } + ], + "label": "fusion", + "name": "ATP5MG--KMT2A", + "reason": "Isovar's fusion junction boundaries (zero-based); the retained sides are where its junction reads align.", + "used_by": [ + "isovar", + "vaxrank" + ] + }, + { + "assembly": "GRCh38", + "breakends": [ + { + "contig": "chr6", + "orientation": null, + "position": 108611245, + "retained_side": "left" + }, + { + "contig": "chr17", + "orientation": null, + "position": 63745979, + "retained_side": "right" + } + ], + "label": "fusion", + "name": "FOXO3--STRADA-CCDC47", + "reason": "Isovar's fusion junction boundaries (zero-based); the retained sides are where its junction reads align.", + "used_by": [ + "isovar" + ] + }, + { + "assembly": "GRCh38", + "breakends": [ + { + "contig": "chr7", + "orientation": null, + "position": 66205522, + "retained_side": "left" + }, + { + "contig": "chr7", + "orientation": null, + "position": 66127703, + "retained_side": "right" + } + ], + "label": "fusion", + "name": "TPST1--CRCP", + "reason": "Isovar's fusion junction boundaries (zero-based); the retained sides are where its junction reads align.", + "used_by": [ + "isovar", + "vaxrank" + ] + }, + { + "from": { + "sv_candidates": "SV0172" + }, + "label": "fusion", + "name": "KLF15--PPIAP72", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "id": "SV0055", + "panel": "sv-regressions-v1" + }, + "label": "sv", + "name": "SV0055", + "reason": "osteosarc's sv-regressions-v1 panel.", + "used_by": [] + }, + { + "from": { + "id": "SV0175", + "panel": "sv-regressions-v1" + }, + "label": "sv", + "name": "SV0175", + "reason": "osteosarc's sv-regressions-v1 panel.", + "used_by": [] + }, + { + "from": { + "id": "SV0402", + "panel": "sv-regressions-v1" + }, + "label": "sv", + "name": "SV0402", + "reason": "osteosarc's sv-regressions-v1 panel.", + "used_by": [] + }, + { + "from": { + "id": "SV0461", + "panel": "sv-regressions-v1" + }, + "label": "sv", + "name": "SV0461", + "reason": "osteosarc's sv-regressions-v1 panel.", + "used_by": [] + }, + { + "from": { + "id": "SV0499", + "panel": "sv-regressions-v1" + }, + "label": "sv", + "name": "SV0499", + "reason": "osteosarc's sv-regressions-v1 panel.", + "used_by": [] + }, + { + "assembly": "GRCh38", + "breakends": [ + { + "contig": "chr10", + "orientation": null, + "position": 77850914, + "retained_side": "left" + }, + { + "contig": "chr10", + "orientation": null, + "position": 77930460, + "retained_side": "right" + } + ], + "inserted_sequence": "CTTCTCTGAAATGATGCTTCTCCA", + "label": "sv", + "name": "DLG5-deletion", + "reason": "Isovar's DLG5 deletion, at the junction esvee resolved (IPISRC044_tumor_T2_ucla records 26313 and 26315), with its 24-base insertion; DRAGEN's nominal breakends were chr10:77850921 and 77930452.", + "used_by": [ + "isovar" + ] + }, + { + "from": { + "sv_candidates": "SV0384" + }, + "label": "sv", + "name": "SV0384", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0324" + }, + "label": "sv", + "name": "SV0324", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0009" + }, + "label": "sv", + "name": "SV0009", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0030" + }, + "label": "sv", + "name": "SV0030", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0178" + }, + "label": "sv", + "name": "SV0178", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0186" + }, + "label": "sv", + "name": "SV0186", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0521" + }, + "label": "sv", + "name": "SV0521", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0522" + }, + "label": "sv", + "name": "SV0522", + "used_by": [ + "varcode" + ] + }, + { + "from": { + "sv_candidates": "SV0244" + }, + "label": "sv", + "name": "SV0244", + "reason": "Additional RNA-supported SV candidate: retains exact-allele and geometry evidence separately.", + "used_by": [] + }, + { + "from": { + "sv_candidates": "SV0281" + }, + "label": "sv", + "name": "SV0281", + "reason": "Additional RNA-supported SV candidate: retains exact-allele and geometry evidence separately.", + "used_by": [] + }, + { + "from": { + "sv_candidates": "SV0318" + }, + "label": "sv", + "name": "SV0318", + "reason": "Additional RNA-supported SV candidate: retains exact-allele and geometry evidence separately.", + "used_by": [] + }, + { + "from": { + "sv_candidates": "SV0357" + }, + "label": "sv", + "name": "SV0357", + "reason": "Additional RNA-supported SV candidate: retains exact-allele and geometry evidence separately.", + "used_by": [] + }, + { + "from": { + "sv_candidates": "SV0373" + }, + "label": "sv", + "name": "SV0373", + "reason": "Additional RNA-supported SV candidate: retains exact-allele and geometry evidence separately.", + "used_by": [] + }, + { + "from": { + "sv_candidates": "SV0381" + }, + "label": "sv", + "name": "SV0381", + "reason": "Additional RNA-supported SV candidate: retains exact-allele and geometry evidence separately.", + "used_by": [] + }, + { + "from": { + "sv_candidates": "SV0525" + }, + "label": "sv", + "name": "SV0525", + "reason": "Additional RNA-supported SV candidate: retains exact-allele and geometry evidence separately.", + "used_by": [] + } + ] + } +} diff --git a/tests/data/comprehensive/summary.json b/tests/data/comprehensive/summary.json new file mode 100644 index 0000000..18ea8d6 --- /dev/null +++ b/tests/data/comprehensive/summary.json @@ -0,0 +1,22 @@ +{ + "annotated_frameshifts": 12, + "count_sources": 37, + "negative_controls": 4, + "rna_count_sources": 15, + "samples": 21, + "source_summary_products": 71, + "source_summary_rows": 12638, + "statuses": { + "alt_observed": 2173, + "covered_no_alt": 3972, + "no_coverage": 903, + "not_measured": 259, + "other_only": 93, + "unresolved_allele": 74 + }, + "structural_candidates": 637, + "support_cells": 7474, + "vaccine_rows": 38, + "vaccine_variants": 51, + "variants": 202 +} diff --git a/tests/data/evidence-overlap/README.md b/tests/data/evidence-overlap/README.md new file mode 100644 index 0000000..28aad1a --- /dev/null +++ b/tests/data/evidence-overlap/README.md @@ -0,0 +1,18 @@ +# Regional Tempus overlap evidence + +These two unmodified regional BAMs reproduce Osteosarc #100. Each contains reads +at the same 44 vaccine loci with 2,000-base flanks plus fetched mates. Original +acquisition receipts, remote identities, request regions and source URLs are in +`receipts.json`; the files are pinned in `osteosarc/data/evidence-overlaps.json`. +The original public source reads are CC0. + +Run `python -m pytest tests/test_provenance.py` to verify the inputs and reproduce +the comparison without network access. It counts record occurrences and includes +base qualities, while excluding optional tags such as differing RG labels. +There are 40,684 identical core records, 12 different records per BAM and 18,971 +shared read names. The files contain 40,696 records each. + +The result applies to these regions, not whole libraries. Both original RG/SM +labels remain intact. 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