Modeling and Analysis of Statistical Genetics data in python

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`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 plink BED 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.

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This version

0.1.1

Apr 12, 2024

0.1.0

Apr 5, 2024

0.0.12

Feb 13, 2023

0.0.11

Sep 6, 2022

0.0.10

Aug 22, 2022

0.0.9

Aug 9, 2022

0.0.8

Aug 9, 2022

0.0.7

Jul 13, 2022

0.0.6

Jul 11, 2022

0.0.5

Jun 28, 2022

0.0.4

Jun 28, 2022

0.0.3

Jun 26, 2022

0.0.2

Jun 15, 2022

0.0.1

May 17, 2022

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magenpy 0.1.1

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