manifold-genetics
An end-to-end pipeline from PLINK genotypes to publication figures: PCA → admixture → manifold embedding → visualisation → metrics.
Installation
Requires Python 3.10–3.12, on Linux or macOS.
pip install manifold-genetics
Admixture is an optional extra:
pip install 'manifold-genetics[admixture]'
Installation from source
pip install git+https://github.com/MattScicluna/manifold_genetics
Usage
manifold-genetics acquire synthetic # a simulated cohort and its config, in seconds
manifold-genetics run config.yaml
acquire hgdp fetches the public HGDP+1KGP cohort instead; acquire custom
writes a config for PLINK files you already have. For raw biobank genotypes,
preprocess filters and intersects SNPs and subsample chooses the fit
samples, each writing a directory run accepts.
Documentation and tutorials
- Documentation
- Quickstart — a full run on public data, and the input and output formats
- Tutorial — a complete run on a simulated cohort, under a minute, nothing to download
- Install — optional extras, external tools, and developing on the repository
- Preprocessing — filtering raw biobank genotypes and projecting them onto a reference panel
Help
Open an issue.
License
BSD 3-Clause License (see LICENSE).
Citation
If you use this package in your research, please cite:
[Your citation here]
Metadata
Release files for manifold-genetics 0.3.0
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| manifold_genetics-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 519.1 kB
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