biobouncer 0.1.1

A gate for biological inputs: validate identifiers and inputs the same way in R and Python.

biobouncer

A gate for biological inputs. Validate gene symbols, ontology terms, variant formats, and database identifiers, the same way, with the same answer, in both R and Python.

This is the Python package. A companion R package is built alongside it, and the two are held to the same verdict for the same input by a shared conformance corpus.

Status: pre-1.0. The public API is in use and documented. It may still change before the 1.0 release.

Install

pip install biobouncer

The framework adapters are optional extras:

pip install "biobouncer[adapters]"   # pandera and pydantic
pip install "biobouncer[gx]"         # Great Expectations
pip install "biobouncer[narwhals]"   # column checks over pandas, polars, or pyarrow

Usage

import biobouncer

# List what can be checked.
biobouncer.sources()

# pattern mode: is the string well-formed?
biobouncer.check_id(["MONDO:0005148", "mondo:5148"], source_db="mondo")

# cache mode: does the id exist in a pinned snapshot, offline?
biobouncer.check_id("MONDO:0005148", source_db="mondo", how="cache", version="sample")

check_id() returns a list of Result records, one per input, in the order given. A missing input stays missing rather than turning into a quiet False.

To validate and clean a whole column in one call:

r = biobouncer.report(["MONDO:0005148", "mondo:5148", "NOTANID", None], source_db="mondo")

r.summary
# {'total': 4, 'valid': 1, 'invalid': 2, 'repairable': 1, 'missing': 1, 'indeterminate': 0}

r.repair()  # substitute the repairable values, leave everything else alone
# ['MONDO:0005148', 'MONDO:0005148', 'NOTANID', None]

r.to_frame()  # a verdict table (pandas, polars, or pyarrow via narwhals)
#            input  valid     normalized     suggestion error
# 0  MONDO:0005148   True  MONDO:0005148            NaN  None
# 1     mondo:5148  False            NaN  MONDO:0005148  None
# 2        NOTANID  False            NaN            NaN  None
# 3            NaN   None            NaN            NaN  None

Checks run in four modes: pattern (offline shape), cache (offline existence against a pinned snapshot), remote (live existence against the source API), and existence (snapshot first, then remote). Snapshots ship with the package, so the offline modes work with no setup and no network. biobouncer.pull() refreshes one to a newer dated release when you want it.

There is also a biobouncer command line tool that exits non-zero on any invalid input, for use in a pipeline or in CI.

Documentation

Full documentation is at samuelbharti.com/biobouncer/py, including the source list, the caching and snapshot guide, and the adapter reference.

Contributing

The package is developed in the biobouncer monorepo alongside the R package and the shared spec. See CONTRIBUTING.md to get set up, and open an issue for a bug or a source request.

Citation

If you use biobouncer in your work, please cite it. The DOI above always resolves to the latest release; see CITATION.cff for the current version and a per-version DOI. A preprint is in preparation.

License

MIT. See LICENSE.