skills/gtars/SKILL.md
Gtars provides native Rust implementations, Python bindings, and a feature-gated
gtars binary for genomic interval and reference-sequence work. Start with the
bundled local inspectors; call upstream code only after the data contract,
provenance, resource bounds, and side effects are explicit.
gtars==0.9.2, released
2026-06-17, Requires-Python >=3.10.gtars=0.9.0, released
2026-06-15. Its default feature set is empty.gtars-cli=0.9.0;
the installed binary is named gtars.gtars-refget=0.9.1,
released 2026-06-17. gtars=0.9.0 itself pins its component release set, which
includes refget 0.9.0.v0.9.0 CLI/Rust source.The license: MIT field covers this skill. Published gtars crates declare MIT,
while the GitHub repository currently displays BSD-2-Clause at the root; verify
the exact artifact's license before redistribution.
The Python wheel contains a PyO3 native extension. Cargo installation compiles a native binary and can run dependency build scripts. Treat either path as code execution:
.sha256 sidecars.After that review, create an isolated Python environment:
uv venv --python 3.11 .venv-gtars
uv pip install --dry-run --python .venv-gtars/bin/python "gtars==0.9.2"
uv pip install --python .venv-gtars/bin/python "gtars==0.9.2"
.venv-gtars/bin/python -c \
"import gtars; assert gtars.__version__ == '0.9.2'; print(gtars.__version__)"
For the reviewed CLI source release:
cargo install gtars-cli --version 0.9.0 --locked
gtars --version
gtars --help
For a Rust project, pin the wrapper exactly and enable only required features:
[dependencies]
gtars = { version = "=0.9.0", default-features = false, features = [
"core", "overlaprs", "uniwig", "tokenizers", "refget"
] }
Use gtars-refget = "=0.9.1" directly only when the newer direct component API is
required and compatibility has been tested. Do not replace these pins with a Git
branch or an unreviewed release.
Apply this contract before every operation:
[start, end).
Require 0 <= start < end <= contig_length. Gtars coordinates are u32, so
reject values above 4,294,967,295.chr prefixes.1 and chr1, alternate loci, decoys, and
mitochondrial aliases are not interchangeable. Rename or liftover only as a
separately reviewed transformation.RegionSet(path) currently sorts lexicographically by contig and start while
loading; do not rely on original row order afterward.+, -, or .. Region.rest retains trailing BED
fields, but a file-backed Python RegionSet currently initializes its separate
strands vector to *. Several set operations drop strand. Preserve and
validate strand externally when it is scientifically meaningful.reduce() and consensus
merge overlapping and adjacent intervals; ordinary half-open overlap does
not treat [0,10) and [10,20) as overlapping.Run the local validator first:
python3 -B scripts/bed_validator.py \
--input data.bed.gz \
--assembly GRCh38.p14 \
--chrom-sizes GRCh38.p14.chrom.sizes \
--require-sorted
Imports are from submodules, not the gtars top level:
from gtars.models import Region, RegionSet
query = RegionSet.from_regions(
[
Region(chr="chr1", start=100, end=200, rest=None),
Region(chr="chr1", start=300, end=400, rest=None),
],
strands=["+", "-"],
)
universe = RegionSet.from_vectors(
["chr1", "chr1"],
[150, 500],
[350, 600],
)
counts = query.count_overlaps(universe) # one count per query region
flags = query.any_overlaps(universe) # one bool per query region
indices = query.find_overlaps(universe) # indices into universe
pieces = query.intersect_all(universe) # all intersection fragments
fraction = query.coverage(universe) # fraction of query bp covered
RegionSet.sort() mutates and returns None. Set algebra includes reduce,
setdiff, pintersect (pairs by index), concat, union, jaccard,
coverage, overlap_coefficient, intersect_all, closest, cluster, and
gaps. Read references/python-api.md before relying on ordering or strand.
Consensus is a Python binding in a different module:
from gtars.genomic_distributions import consensus
rows = consensus([query, universe])
# rows: [{"chr": ..., "start": ..., "end": ..., "count": ...}, ...]
Signal-track generation is not exposed as gtars.uniwig in Python 0.9.2;
use the reviewed CLI or Rust API. RegionSet.coverage() is a base-pair set metric,
not a WIG/bigWig generator.
Use only local constructors by default:
from gtars.models import RegionSet
from gtars.tokenizers import Tokenizer
tokenizer = Tokenizer.from_bed("reviewed-universe.bed")
regions = RegionSet("local-query.bed")
tokens = tokenizer.tokenize(regions)
encoding = tokenizer(regions)
ids = encoding["input_ids"]
Tokenizer.from_pretrained(name) contacts Hugging Face and writes its cache when
the argument is not an existing local directory; it exposes no revision or cache
argument. Obtain explicit approval, fetch an immutable revision through a reviewed
mechanism, verify checksums, then pass the local snapshot directory. See
references/tokenizers.md.
For refget, prefer RefgetStore.in_memory() or RefgetStore.open_local(path).
open_remote(cache_path, remote_url) contacts a remote service, creates/uses a
local cache, and performs on-demand range reads. See references/refget.md.
No download or cache write is implicit in this skill. Before any network-capable upstream call:
Important side effects:
RegionSet(path) has HTTP support; a nonexistent local string may be treated as
a URL. Check that the local path exists before construction.Tokenizer.from_pretrained may download universe.bed.gz into the Hugging Face
cache.RefgetStore.on_disk creates/writes a store. open_remote loads remote metadata
and enables persistence by default.gtars bbcache creates cache directories even when constructing the client.
Cache/download commands use BBCLIENT_CACHE (default ~/.bbcache) and
BEDBASE_API (default https://api.bedbase.org).Genomic intervals, rare loci, barcodes, sample names, phenotypes, and assembly choices can be identifying. Keep full paths and raw coordinates out of logs; default bundled reports redact paths and emit only counts/checksums.
Freeze splits by patient/donor first, then keep all technical and biological replicates in the same split. Fit consensus sets, universes, tokenizers, scaling, thresholds, and QC rules on training data only. Do not create a universe from all samples and then split: that leaks validation/test locus support. Record excluded samples and replicate aggregation separately.
All six helpers reject URLs, traversal, symlinks, and special files; apply byte, record, file, coordinate, and worker caps; use no network or gtars import; and write no output files. Plans contain fixed argv templates and never launch them.
python3 -B scripts/bed_validator.py --help
python3 -B scripts/execution_plan.py --help
python3 -B scripts/tokenizer_manifest.py --help
python3 -B scripts/refget_digest_plan.py --help
python3 -B scripts/coverage_preflight.py --help
python3 -B scripts/artifact_inspector.py --help
Run synthetic tests without bytecode:
PYTHONDONTWRITEBYTECODE=1 python3 -B -m unittest discover \
-s skills/gtars/tests -p 'test_*.py' -v
Do not use stale examples containing gtars.RegionSet,
RegionSet.from_bed, TreeTokenizer, gtars.igd.build_index,
gtars.uniwig.coverage_from_bed, gtars.RefgetStore, global
set_option/set_log_level, parallel_apply, or invented exception classes.
CLI forms such as uniwig generate, igd build, scoring score, and
fragsplit cluster-split are also stale for 0.9.0.
Upstream's published docs and stubs have some drift (for example the older
GlobalRefgetStore tutorial and incomplete 0.9.2 stubs). Prefer installed
signature smoke tests plus immutable tagged source when they conflict.
These are the only six bundled references; all links are local and present:
references/python-api.md — exact Python 0.9.2 imports and behaviorreferences/overlap.md — overlap/count/set algebra and consensus semanticsreferences/coverage.md — uniwig, bigWig, coverage, sorting, and resourcesreferences/tokenizers.md — tokenizer/universe and fragment compatibilityreferences/refget.md — digests, stores, BEDbase, network/cache controlsreferences/cli.md — CLI 0.9.0 commands, features, and migrations