magenpy: Modeling and Analysis of (Statistical) Genetics data in python
magenpy is a Python package for modeling and analyzing statistical genetics data.
The package provides tools for:
- Reading and processing genotype data in
plinkBED format. - Efficient LD matrix construction and storage in Zarr array format.
- Data structures for harmonizing various GWAS data sources.
- Includes parsers for commonly used GWAS summary statistics formats.
- Simulating polygenic traits (continuous and binary) using complex genetic architectures.
- Multi-cohort simulation scenarios (beta)
- Simulations incorporating functional annotations in the genetic architecture (beta)
- Interfaces for performing association testing on simulated and real phenotypes.
- Preliminary support for processing and integrating genomic annotations with other data sources.
Helpful links
- Documentation
- Sister package
viprs - Linkage disequilibrium (LD) browser
- Citation / BibTeX records
- Report issues/bugs
AI Usage
This project is developed using AI-assisted technologies. Please review our AI Declaration for full transparency on automated pipelines.
Metadata
Release files for magenpy 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| magenpy-0.2.3.tar.gz | 1.4 MB | Without provenance | Details for magenpy-0.2.3.tar.gz |
Built distributions (wheels)
Total release size: 56.7 MB
Release files / magenpy-0.2.3.tar.gz
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Release files / magenpy-0.2.3-cp313-cp313-win_amd64.whl
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Release files / magenpy-0.2.3-cp313-cp313-macosx_11_0_arm64.whl
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Release files / magenpy-0.2.3-cp313-cp313-macosx_10_13_x86_64.whl
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