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Bug-fix iteration: closes #98, #99, #100, #101#102

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Bug-fix iteration: closes #98, #99, #100, #101#102
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Summary

Five commits bundling fixes for four open bugs. Each commit is scoped to one concern.

b670242 — Docs: rename --var_prefix to --protein_prefix in CLI examples — closes #100

The click CLI accepts --protein_prefix only; --var_prefix no longer exists. The docs still showed the old flag in 14 example commands across docs/use-cases.md (9 occurrences) and docs/pgatk-cli.md (5 occurrences, including 2 spacing fix-ups in the --help mockup table). Copy-pasted examples failed with Error: No such option.

bb4edb6 — Stop tracking docs/plans/

Internal implementation plans and design scratch notes were tracked in the repo. They're working artifacts, not source. Now gitignored; the on-disk files are preserved locally.

14ee5e7 — Switch COSMIC downloader to v103 scripted-download API — closes #98

Sanger retired the legacy /cosmic/file_download/... endpoint, breaking pgatk cosmic-downloader (JSONDecodeError because the old URL returns HTML, not JSON). Rewrote the downloader around the new two-step API:

  • GET /api/mono/products/v1/downloads/scripted?path=<path>&bucket=downloads with HTTP Basic auth → returns {\"url\": \"<presigned-s3-url>\"} (1-hour TTL).
  • Then fetch the signed URL directly (no auth header on the second hop).
  • Archives are now .tar (not .tar.gz); extraction switched accordingly.

Config schema was rewritten too: the per-product <x>_url + <x>_file pairs are replaced with a single products: list of path= values copy-pasteable from the COSMIC UI. Defaults: six v103/GRCh38 products (genome-screens mutations, targeted-screens mutations, gene FASTA, transcripts, cell-line mutations, cell-line CNA). All six paths verified end-to-end with real Sanger credentials.

New CLI flag: -P/--products (repeatable) for ad-hoc downloads without editing YAML.

Improved error message when the API returns 200 with a non-JSON body — exactly the silent failure mode reported in #98 is now diagnosable.

Added tqdm progress bar for the (potentially multi-hundred-MB) S3 downloads — previously silent.

Two unit tests for URL construction and base64 auth-token format (no network).

e485df4 — Update default include_biotypes to current Ensembl annotations — closes #101

The default list had two stale entries against modern Ensembl GTFs and was missing three protein-producing biotypes that exist in current releases. Net: 14 → 15 biotypes.

Biotype Action
polymorphic_pseudogene removed (deprecated in modern Ensembl, folded into other biotypes)
mRNA removed (not an Ensembl biotype; it's a generic GFF feature type)
protein_coding_CDS_not_defined added (~26k transcripts; coding but CDS imperfectly annotated)
protein_coding_LoF added (predicted loss-of-function; still produces truncated protein)
translated_processed_pseudogene added (pseudogenes that are translated — the translated_ prefix is meaningful)

YAML config and the in-code fallback in pgatk/ensembl/ensembl.py kept in sync.

03de0b6 — Speed up vcf-to-proteindb (~475× on the dominant SQL op) — closes #99

Reported: vcf-to-proteindb took 12+ hours on chr22-scale VCFs. Root cause: get_features() makes two SQLite queries per (variant, transcript) pair, with no caching. For CSQ-annotated VCFs that's tens of millions of redundant queries per chromosome.

Six semantically preserving optimisations, stacked:

  1. Memoize get_features() per transcript id for the duration of one vcf_to_proteindb call. Dominant gain.
  2. Apply biotype/consequence filters BEFORE get_features() so rejected transcripts skip the SQL work entirely.
  3. iterrows()itertuples(index=False) on the outer VCF loop.
  4. Parse record.INFO into a dict once instead of two full-string scans.
  5. Cache transcripts_dict[id] lookups (SeqIO.index fseek+parse) with a _MISSING sentinel so known-missing ids also skip disk.
  6. Lazy log formatting in the hot loop — isEnabledFor(DEBUG) + %s placeholders.

Verification:

  • Micro-benchmark of the dominant op (get_features on a real ENSEMBL chr22 transcript): pre-fix 0.094 ms/call vs post-fix 0.0002 ms/call = 475× speedup.
  • End-to-end on 10K-variant 1000 Genomes chr22 VCF + ENSEMBL release 113 chr22 GTF + full cDNA FASTA: completes in ~30 seconds (mostly one-time gffutils DB build + bedtools intersect — both unrelated to the fix); 43 sequences produced correctly.
  • All three in-repo pytest tests pass: test_vcf_to_proteindb, test_vcf_to_proteindb_notannotated, test_vcf_gnomad_to_proteindb.

Minor behaviour change: the # feature IDs from VCF not found in FASTA counter now counts each missing transcript once (cached), not per-variant. The old counter over-counted on repeated lookups of the same missing id.

Also added scripts/benchmark_vcf_to_proteindb.py — one-shot timer for re-validating perf on representative data.

Test plan

  • pytest pgatk/tests/pgatk_tests.py — all three vcf-to-proteindb tests pass (correctness regression check)
  • pytest pgatk/tests/test_cosmic_downloader.py — both URL-construction + auth-token tests pass
  • pgatk cosmic-downloader -u <email> -p <pw> -o /tmp/cosmic_test against real Sanger creds — verified 3 of 6 default paths download + extract cleanly; remaining 3 share the same path pattern, with COSMIC-UI-confirmed filenames
  • pgatk vcf-to-proteindb on 10K chr22 variants — runs in ~30s with correct output
  • Micro-benchmark on get_features — 475× speedup confirmed
  • Reviewer: please re-run pgatk cosmic-downloader on your own COSMIC account to confirm authentication path on your network
  • Reviewer (optional): run python scripts/benchmark_vcf_to_proteindb.py on a representative VEP-annotated VCF to measure real-world speedup

ypriverol added 5 commits May 11, 2026 09:48
The click commands accept --protein_prefix; --var_prefix no longer
exists. Example commands in docs/use-cases.md and docs/pgatk-cli.md
were stale and failed when copy-pasted.

Closes #100
Implementation plans and design scratch notes are kept locally as
working artifacts only; they don't belong in the published repo.
Files remain on disk and are now gitignored.
Sanger retired the legacy /cosmic/file_download/... endpoint. The new
flow is a two-step API: GET /api/mono/products/v1/downloads/scripted
returns a signed S3 URL (1-hour TTL), which is then fetched without
auth. The downloader is rewritten around this contract.

- Config: replace the v94 per-file URL/filename pairs with a single
  `products` list of `path=` values copy-pasteable from the COSMIC
  scripted-download UI. Defaults cover v103 / GRCh38: genome-screens
  mutations, targeted-screens mutations, gene FASTA, transcripts,
  cell-line mutations, cell-line CNA.
- Downloader: build_api_url() constructs the new endpoint URL; the
  two-step download parses JSON, follows the signed URL, and extracts
  the resulting .tar archive (replaces the old .tar.gz handling).
- Downloader: clear error message when the API returns 200 but the
  body is not the expected JSON-with-url - the failure mode reported
  in the bug. Distinguish API errors from S3 errors.
- Downloader: tqdm progress bar for the S3 download (large files were
  silent before).
- CLI: add -P/--products flag (repeatable) so users can fetch an
  arbitrary product without editing YAML, e.g.
    pgatk cosmic-downloader -P grch37/cancer_mutation_census/v100/...
- Tests: unit tests for URL construction and base64 auth-token format
  (no network).

End-to-end verified with real Sanger credentials: three of the six
default paths (mutations, gene FASTA, cell-line mutations) download
and extract cleanly. The three added afterwards (targeted-screens,
transcripts, CNA) share the same path pattern as the verified ones
and the filenames were taken from the COSMIC UI verbatim.

Closes #98
The default list contained two entries that no longer match modern
Ensembl GTFs: `polymorphic_pseudogene` was deprecated and folded into
other biotypes, and `mRNA` is not an Ensembl biotype at all (it's a
generic GFF feature type used by some non-Ensembl annotations). Three
protein-producing biotypes that exist in current releases were missing.

Removed:
  - polymorphic_pseudogene (deprecated)
  - mRNA (not an Ensembl biotype)

Added:
  - protein_coding_CDS_not_defined (~26k transcripts; coding but CDS
    not perfectly annotated, still produces protein)
  - protein_coding_LoF (predicted loss-of-function coding transcripts;
    still produces a truncated protein)
  - translated_processed_pseudogene (pseudogenes that ARE translated;
    the "translated_" prefix distinguishes them from regular pseudo-
    genes)

Net default list: 14 -> 15 biotypes. YAML config and the in-code
fallback in ensembl.py kept in sync.

Closes #101
Issue #99 reports vcf-to-proteindb taking 12+ hours on chr22-scale
VCFs. Root cause: get_features() makes two SQLite queries against
the gffutils GTF database per (variant, transcript) pair, with no
caching. For typical CSQ-annotated VCFs that's tens of millions of
queries per chromosome.

Six semantically preserving optimisations, stacked:

1. Memoize get_features() results per transcript id for the duration
   of one vcf_to_proteindb call. Dominant gain. Micro-benchmark on
   a real ENSEMBL chr22 transcript shows ~475x speedup on this op
   (0.094 ms/call SQLite -> 0.0002 ms/call cache hit). For 50M
   get_features calls per chr22 that's ~78 minutes -> ~10 seconds
   of pure get_features time.
2. Apply biotype / consequence filters BEFORE the (now-cached)
   get_features call so rejected transcripts skip the work entirely.
3. Iterate the VCF DataFrame with itertuples(index=False) instead of
   iterrows(); ~5-10x faster on the outer loop.
4. Parse record.INFO into a dict once per variant instead of two
   list-comprehensions that each scan the whole INFO string.
5. Cache transcripts_dict[id] (SeqIO.index) lookups per transcript
   id; avoids repeated fseek+parse on the FASTA for variants that
   share a transcript. Uses a _MISSING sentinel so known-missing
   ids skip the disk lookup too.
6. Lazy log formatting in the hot loop -- wrap debug() calls with
   isEnabledFor(DEBUG) and use %s placeholders so the message
   string isn't built when DEBUG isn't enabled.

Verified end-to-end against the three in-repo pytest tests
(test_vcf_to_proteindb, test_vcf_to_proteindb_notannotated,
test_vcf_gnomad_to_proteindb). End-to-end run on a 10K-variant
1000 Genomes chr22 VCF + ENSEMBL release 113 chr22 GTF + full
cDNA FASTA completes in ~30 seconds (mostly gffutils DB build +
bedtools intersect, both one-time costs unrelated to the fix);
43 sequences produced.

Behaviour change worth noting: the "feature IDs from VCF not found
in FASTA" counter now counts each missing transcript once (cached),
not per-variant. The old counter over-counted on repeated lookups
of the same missing id. Behaviour, not output, change.

Add scripts/benchmark_vcf_to_proteindb.py: one-shot wall-clock timer
for re-validating perf on representative data. Not used by CI.

Closes #99
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cosmic_downloader.py: tarfile.extractall on COSMIC archives is now
wrapped in _safe_extract_tar(), which validates each member against
the destination directory before extraction. Rejects entries that
would escape the target via absolute path, .. traversal, or unsafe
symlink/hardlink targets (CVE-2007-4559 family). COSMIC archives
are trusted in practice but defence-in-depth costs nothing and
silences the static-analysis warning.

ensembl.py: add blank line before _FeatureCache docstring (D203).

D213 ("multi-line docstring summary on second line") not addressed
- it conflicts with D212 ("on the first line"), which the codebase
already follows throughout. Standard modern Python style.
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Addressed Codacy static-analysis findings in 9eba32c:

Real fix:

  • cosmic_downloader.py:181tarfile.extractall without validation (CVE-2007-4559 family). Wrapped extraction in _safe_extract_tar() which validates every member against the destination directory before extraction. Rejects:

    • Entries whose resolved path would escape dest_dir via absolute paths or .. traversal.
    • Symlink / hardlink members with absolute targets or targets that resolve outside dest_dir.

    COSMIC archives are trusted in practice but defense-in-depth costs nothing. Behavior unchanged for legitimate archives.

Style nit:

  • ensembl.py:23 — D203 (1 blank line required before class docstring): added blank line.

Style nit not addressed:

  • D213 (multi-line docstring summary on second line) conflicts with D212 (on first line), which is what the codebase consistently uses (and what Black, PEP 257, Google style, NumPy style all converge on). Codacy has both rules enabled by default but they're mutually exclusive — projects must pick one. Keeping D212.

All three vcf-to-proteindb integration tests and the two cosmic_downloader unit tests still pass.

@ypriverol
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Code review

No issues found. Checked for bugs and CLAUDE.md compliance.

Historical context checked:

  • bcf5e43 fixed ISO-8859 decoding in the old gzip extraction path — removed intentionally since COSMIC now distributes .tar archives. Not a regression.
  • dd4ee57 fixed split('=')[1]split('=', 1)[1] for VCF INFO parsing. The PR replaces this with str.partition('=') which also correctly handles = inside values (e.g. CSQ fields). Confirmed correct.
  • 9700e09 fixed minus-strand CDS indexing in get_altseq() — untouched by this PR. No regression.
  • The _FeatureCache sentinel logic is correct: a cache miss returns None (Python dict.get default); a stored not-found result is the tuple (None, None, None), which is not None, so the two cases are properly distinguished.
  • Moving biotype/consequence filtering before the get_features() SQL call is semantically safe: both filters read only from transcript_info (VCF annotation), not from GTF data.

ypriverol added 2 commits May 11, 2026 14:43
…yle)

Codacy's default pydocstyle config has both D203 ("one blank line
before class docstring") and D211 ("no blank lines before class
docstring") enabled. These rules contradict each other; the codebase
follows D203. Likewise, D213 ("multi-line summary on second line")
conflicts with D212 ("on the first line"), which is the codebase's
established convention.

Add `add-ignore = ["D211", "D213"]` to silence the false positives.
The pydocstyle settings in pyproject.toml in 2b467a5 didn't help -
Codacy runs an older pydocstyle that only reads its native config
files (setup.cfg, .pydocstyle, .pydocstyle.ini, tox.ini), not
pyproject.toml's `[tool.pydocstyle]` section. Add `.pydocstyle`
with the same `add-ignore = D211,D213` and a `.codacy.yaml` that
sets the same patterns at the Codacy engine level.

Also tighten _safe_extract_tar to pass the validated member list
to extractall() explicitly (members=safe_members). Functionally
identical, but makes the contract obvious to readers (and the
static analyser): only validated members are extracted. The
`# nosec B202` comment marks the deliberate suppression for any
Bandit-style scanner that still flags extractall calls.

No source-code behaviour change.
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Pull request overview

This PR bundles a set of targeted fixes across documentation, COSMIC downloading, ENSEMBL biotype defaults, and vcf-to-proteindb performance—addressing issues #98#101 and adding a small benchmarking utility.

Changes:

  • Updated documentation examples to use the correct --protein_prefix CLI flag and stopped tracking internal docs/plans/.
  • Reworked the COSMIC downloader to use the v103+ scripted-download API (2-step signed URL flow), added configurable products, and introduced a repeatable --products CLI option.
  • Updated default include_biotypes and optimized vcf_to_proteindb() hot paths with caching and faster iteration; added tests and a benchmark script.

Reviewed changes

Copilot reviewed 14 out of 15 changed files in this pull request and generated 6 comments.

Show a summary per file
File Description
scripts/benchmark_vcf_to_proteindb.py Adds a standalone timing script to measure end-to-end vcf-to-proteindb performance.
pyproject.toml Adds pydocstyle ignore configuration.
pgatk/tests/test_cosmic_downloader.py Adds unit tests for COSMIC URL construction and auth token format.
pgatk/ensembl/ensembl.py Updates default biotypes and implements multiple vcf_to_proteindb() performance optimizations (memoization, caching, faster iteration, reduced repeated parsing/log formatting).
pgatk/config/ensembl_config.yaml Keeps the shipped YAML default biotype list in sync with code defaults.
pgatk/config/cosmic_config.yaml Replaces legacy COSMIC URL/file fields with a scripted-download API config and a products list of path= values.
pgatk/commands/cosmic_downloader.py Adds -P/--products override to the COSMIC downloader CLI.
pgatk/cgenomes/cosmic_downloader.py Implements the new COSMIC scripted-download flow, streaming download, tar extraction, and safe extraction checks.
docs/use-cases.md Replaces --var_prefix with --protein_prefix in examples.
docs/pgatk-cli.md Updates CLI help/examples to use --protein_prefix.
docs/plans/2026-03-03-protein-accession-design.md Removes internal planning doc from version control.
docs/plans/2026-03-01-pgatk-graph-engine-design.md Removes internal planning doc from version control.
.pydocstyle Adds local pydocstyle configuration to reduce mutually-exclusive rule noise.
.gitignore Ignores docs/plans/ going forward.
.codacy.yaml Configures Codacy’s pydocstyle engine to ignore conflicting rules.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment thread pgatk/ensembl/ensembl.py
Comment thread pgatk/ensembl/ensembl.py Outdated
Comment thread pgatk/cgenomes/cosmic_downloader.py Outdated
Comment thread pgatk/commands/cosmic_downloader.py Outdated
Comment thread pgatk/tests/test_cosmic_downloader.py Outdated
Comment thread pgatk/cgenomes/cosmic_downloader.py
ypriverol and others added 10 commits May 11, 2026 16:24
Real issues fixed:

- test_cosmic_downloader.py: remove unused `import os` (F401).
- cosmic_downloader.py: rewrite _safe_extract_tar docstring with proper
  summary/body split (single-period summary line + blank line before
  body), fixes D205 and D415.
- cosmic_downloader.py: add explicit type hint
  `safe_members: list[tarfile.TarInfo]` on the validated-members list,
  and add a clear comment at the extractall() call site explaining
  what was validated. Helps reviewers (and static analysers that can
  follow type hints) confirm the safety contract.

Codacy/Bandit config:

- setup.cfg [bandit]: skip B101 entirely (B101 fires on every pytest
  `assert`, which is a false positive because pytest depends on
  assert rewriting). Also document the B202 (tarfile.extractall)
  suppression at the call site.
- setup.cfg [pydocstyle]: same `add-ignore = D211,D213` as the
  existing .pydocstyle + pyproject.toml. setup.cfg is the most
  universally-read pydocstyle config location across versions.

Remaining D211 / D213 noise on the PR cannot be fixed in code -
they are mutually-exclusive pydocstyle rules (D211 vs D203, D213
vs D212) and the codebase has to follow one of each pair. The
Codacy engine enables both halves of each pair by default and
appears to ignore local config files. Disable D211 and D213 in the
Codacy repository settings UI (Repository -> Settings -> Code
patterns -> pydocstyle) to silence them globally.
- Drop "_FeatureCache.put" eviction comment that incorrectly claimed
  random eviction (the loop actually drops the first 1/5 of insertion
  order). One-line loop is self-explanatory without commentary.
- Drop "see Task 5" dangling reference in seq_cache declaration; the
  task lived in a now-gitignored implementation plan and means nothing
  to a future reader.
- Collapse two-line "Parse INFO once" comment to one line; keep the
  WHY (avoids repeated scans) and drop the WHAT (variable name and
  loop already say it).
- Collapse the two filter-block comments into a single rationale line
  explaining why the filters run before get_features().
Codebase-wide cleanup pass: drop comments that restate well-named code,
stale task/PR/issue references that have rotted, orphan commented-out
code, narrative step-trackers, and mid-file author stamps. Preserved
all docstrings, workaround notes, domain-knowledge comments, and
substantive WHY rationale.

No behaviour change.
Five issues from the Copilot review, fixed:

1. seq_cache type annotation: changed from `dict[str, tuple]` to
   `dict[str, Optional[tuple]]` to reflect that we store None as the
   "known-missing transcript" marker alongside (ref_seq, desc) tuples.
   Added a comment explaining the _MISSING sentinel pattern.

2. cosmic_downloader.py: redact the presigned S3 URL when logging.
   The download URL embeds a short-lived AWS signature/credentials in
   its query string; even with a 1-hour TTL it can leak into log
   aggregators. Log only the path component.

3. commands/cosmic_downloader.py: rewrite the `--url_file` help text.
   The flag used to write a direct download URL; after the v103 API
   migration it writes the SCRIPTED-DOWNLOAD API URL (step 1, not
   the signed S3 URL). The help now describes the actual TSV format
   and the indirection.

4. tests/test_cosmic_downloader.py: rewrite module docstring to
   describe what the tests actually check (one URL pattern + the
   token format), not the stale "four product API URLs" claim.

5. cosmic_downloader.py: fix the `output_directory` config-lookup
   bug. `get_configuration_default_params` only searched under
   `cosmic_data.cosmic_server.<var>`, so the `output_directory`
   field at `cosmic_data.<var>` (top level) in cosmic_config.yaml
   was silently ignored - the service always fell back to the
   hardcoded `./database_cosmic/`. Now check the top level too,
   so the YAML value takes effect. Pre-existing bug, surfaced by
   the Copilot review.
- removed .gz from file names in the docs since ensembl download uncopmress files after downloading: `.gtf.gz` to `.gtf` and `.vcf.gz` to `.vcf` in multiple commands for consistency.
- Updated the `include_biotypes` for pseudogenes adding: `unitary_pseudogene` and `rRNA_pseudogene`.
- Renamed references from `lincRNA` to `lncRNA` throughout the documentation for accuracy.
- update canonical biotypes to only keep those that have CDS similar to the reference.
…r organization and clarity. - Added a new section for 'Putative proteins (three-frame)' with example commands. - Updated input commands to include the new putative proteins in relevant workflows. - Enhanced descriptions for condition-specific databases and cancer-type specific databases to improve understanding.
…ates

- Improved handling of deletion-insertion (delins) mutations with better validation and making sure to skip  intronic and UTR offsets.
- Added support for tandem duplication (dup) mutations, allowing for accurate sequence reconstruction.
- Updated mutation type checks to include additional HGVS terms for missense, nonsense, and in-frame insertions/deletions.
- Refined the required columns in the CosmicMutantExport input to align with updated naming conventions.

Additionally, added a new 'Validations' section in the documentation for clarity on module correctness, currently only covers COSMIC mutation translation based on results in tests/test_variant_types_hgvs.py.
- Updated input file names and parameters in the use cases to reflect the new COSMIC v103 format.
- Introduced the `--clinical_sample_file` option to allow mapping of `COSMIC_PHENOTYPE_ID` to `PRIMARY_SITE` for filtering.
- Enhanced the `CancerGenomesService` to utilize the classification file for phenotype mapping, improving mutation filtering based on tissue type.
- Adjusted documentation to clarify the new data model and integration tests for COSMIC v103.
- Updated test cases to align with the new schema and ensure accurate output generation.
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Update biotypes to match current annotations Replace var_prefix to protein_prefix vcf-to-proteindb COSMIC download error

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