Metadata-Version: 2.1
Name: ldgm
Version: 0.0.1
Summary: Sparse and accurate modeling of linkage disequilibrium
Project-URL: Homepage, https://github.com/awohns/ldgm
Project-URL: Bug Tracker, https://github.com/awohns/ldgm/issues
Author-email: Anthony Wilder Wohns <awohns@gmail.com>, Luke O'Connor <loconnor@broadinstitute.org>, Pouria Salehi Nowbandegani <psalehin@broadinstitute.org>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown

# ldgm <img align="right" width="145" height="120" src="https://github.com/awohns/ldgm/blob/main/docs/ldgm_logo.png">
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LDGMs (<ins>L</ins>inkage <ins>D</ins>isequilibrium <ins>G</ins>raphical <ins>M</ins>odels) are sparse and accurate models of linkage disequilibrium (LD) which massively accelerate matrix algebra computations in statistical genetics.

Please refer to the [documentation](https://ldgm.readthedocs.io/en/latest/) for information on installing and using the software.

Please cite this paper if you use LDGMs in published work.
> Pouria Salehi Nowbandegani, Anthony Wilder Wohns, Jenna L. Ballard, Eric S. Lander, Alex Bloemendal, Benjamin M. Neale, and Luke J. O’Connor (2023) _Extremely sparse models of linkage disequilibrium in ancestrally diverse association studies_. Nat Genet. DOI: 10.1038/s41588-023-01487-8
