HARE: A Python workflow for analyzing genomic feature enrichment in GWAS datasets

Python Submitted 10 January 2024Published 27 May 2024
Review

Editor: @jromanowska (all papers)
Reviewers: @nfb1993 (all reviews), @abartlett004 (all reviews)

Authors

Olivia S. Smith (0000-0001-5435-2982), Eucharist Kun (0000-0001-9919-173X), Vagheesh M. Narasimhan (0000-0001-8651-8844)

Citation

Smith et al., (2024). HARE: A Python workflow for analyzing genomic feature enrichment in GWAS datasets. Journal of Open Source Software, 9(97), 6359, https://doi.org/10.21105/joss.06359

@article{Smith2024, doi = {10.21105/joss.06359}, url = {https://doi.org/10.21105/joss.06359}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {97}, pages = {6359}, author = {Olivia S. Smith and Eucharist Kun and Vagheesh M. Narasimhan}, title = {HARE: A Python workflow for analyzing genomic feature enrichment in GWAS datasets}, journal = {Journal of Open Source Software} }
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bioinformatics evolution gwas enrichment analysis

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