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-1.2.0.tar.gz (125.7 kB view details)

Uploaded Source

Built Distribution

gentropy-1.2.0-py3-none-any.whl (168.9 kB view details)

Uploaded Python 3

File details

Details for the file gentropy-1.2.0.tar.gz.

File metadata

  • Download URL: gentropy-1.2.0.tar.gz
  • Upload date:
  • Size: 125.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gentropy-1.2.0.tar.gz
Algorithm Hash digest
SHA256 b01f92c0fc9ce58f91b8e8220bfd41612c394717abf5ee8cc60c43d221b658fe
MD5 cf5f727c5687507e4b100395050757c7
BLAKE2b-256 46f17956268a74b996fc67b1026e552fb0a2b9645cac0e26078b1975dc7beeae

See more details on using hashes here.

File details

Details for the file gentropy-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: gentropy-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 168.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for gentropy-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8fa1a4b373ae86da48e576ae10547be76d18a18bb9648158dd47082ec09cfd34
MD5 7b7d341321d2330b9e93b5ba0f842e01
BLAKE2b-256 0c50930b26eaf176a11aaee6cef9859581e295858c165780d325dbd29a4844cd

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