Skip to main content

Biolink Model Toolkit: A Python API for working with the Biolink Model

Project description

Python PyPI

Biolink Model Toolkit

Biolink Model Toolkit (BMT): A Python API for working with the Biolink Model.

BMT provides utility functions to look up Biolink Model for classes, relations, and properties based on Biolink CURIEs or external CURIEs that have been mapped to Biolink Model.

Note: Each release of BMT is pinned to a specific version of the Biolink Model to ensure consistency.

Usage

BMT provides convenience methods to operate on the Biolink Model.

Using this toolkit you can,

  • Get Biolink Model elements corresponding to a given Biolink class or slot name
  • Get Biolink Model elements corresponding to a given external CURIE/IRI
  • Get ancestors for a given Biolink Model element
  • Get descendants for a given Biolink Model element
  • Get parent for a given Biolink Model element
  • Get children for a given Biolink Model element
  • Check whether a given Biolink Model element is part of a specified subset

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bmt-1.0.1.tar.gz (11.2 kB view details)

Uploaded Source

Built Distribution

bmt-1.0.1-py3-none-any.whl (10.9 kB view details)

Uploaded Python 3

File details

Details for the file bmt-1.0.1.tar.gz.

File metadata

  • Download URL: bmt-1.0.1.tar.gz
  • Upload date:
  • Size: 11.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for bmt-1.0.1.tar.gz
Algorithm Hash digest
SHA256 a6bd8c1b178889793d99b9d313585732096b90e2570d4e978b788d3f02441f13
MD5 174a0b7a9742a0b3a39fca32392df3f5
BLAKE2b-256 537a93c87154882ce21013e56091a8c2e00d1a334d3893476299c69906ab3f1c

See more details on using hashes here.

Provenance

File details

Details for the file bmt-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: bmt-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 10.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for bmt-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6c2272f34879ffc777d12048a6fa833d2de8c7a289de122c6dd81bffebd6db13
MD5 051638a0844a414489688b23abacd830
BLAKE2b-256 1e06ee2ef177f684d75f7ad5437de367ea72b1b0b1264fe69dc6ac73064f5a6e

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page