Skip to main content

Open Targets python framework for post-GWAS analysis

Project description

Ruff PyPI pyversions PyPI version image codecov License DOI

Open Targets Gentropy is a Python package to facilitate the interpretation and analysis of GWAS and functional genomic studies for target identification. The package contains a toolkit for the harmonisation, statistical analysis and prioritisation of genetic signals to assist drug discovery.

Installation

We recommend to install Open Targets Gentropy using Pypi:

pip install gentropy

For alternative ways to install the package visit the Documentation

References

About Open Targets

Open Targets is a pre-competitive, public-private partnership that uses human genetics and genomics data to systematically identify and prioritise drug targets. Through large-scale genomic experiments and the development of innovative computational techniques, the partnership aims to help researchers select the best targets for the development of new therapies. For more information, visit the Open Targets website.

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

gentropy-1.3.0.tar.gz (136.6 kB view details)

Uploaded Source

Built Distribution

gentropy-1.3.0-py3-none-any.whl (181.8 kB view details)

Uploaded Python 3

File details

Details for the file gentropy-1.3.0.tar.gz.

File metadata

  • Download URL: gentropy-1.3.0.tar.gz
  • Upload date:
  • Size: 136.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for gentropy-1.3.0.tar.gz
Algorithm Hash digest
SHA256 703c6b968cfd231e409df353066ca2f8bf5dbd84435e994e6c26f8b4215a5934
MD5 009e0e4bea858327b2c44456d57f751e
BLAKE2b-256 a0a33bdc0b27adcfebfdc9e7d5e50b4f73736a14fc3b43613a804ba5067e6eaf

See more details on using hashes here.

File details

Details for the file gentropy-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: gentropy-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 181.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for gentropy-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f5e37024964f878bf06b5ec207b4170f5adcd6aa98c8b79923088092fe12b5ab
MD5 1841c9d8e13601d4398bfc37db291bb4
BLAKE2b-256 2d88ed653633c90899c0d1e969fa6e6b1f8cdd4b589ea47ce7b4a5307857a636

See more details on using hashes here.

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