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.
1 maintainer
Release files for gentropy 3.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gentropy-3.4.0.tar.gz | 2.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gentropy-3.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.9 MB
Release files / gentropy-3.4.0.tar.gz
| Download URL | gentropy-3.4.0.tar.gz |
|---|---|
| Size | 2.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / gentropy-3.4.0-py3-none-any.whl
| Download URL | gentropy-3.4.0-py3-none-any.whl |
|---|---|
| Size | 434.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency log
