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ggmugs: Visualization of Multiple Genome-Wide Association Study SummaryStatistics

A 'grammar of graphics' approach for visualizing summary statistics from multiple Genome-wide Association Studies (GWAS). It offers geneticists, bioinformaticians, and researchers a powerful yet flexible tool for illustrating complex genetic associations using data from various GWAS datasets. The visualizations can be extensively customized, facilitating detailed comparative analysis across different genetic studies. Reference: Uffelmann, E. et al. (2021) <doi:10.1038/s43586-021-00056-9>.

Version:	0.6.0
Imports:	data.table,dplyr,ggplot2,purrr,tibble,tidyr
Suggests:	spelling,testthat (≥ 3.0.0)
Published:	2024-05-07
DOI:	10.32614/CRAN.package.ggmugs
Author:	Wanjun Gu [aut, cre]
Maintainer:	Wanjun Gu <wanjun.gu at ucsf.edu>
License:	MIT + fileLICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	README,NEWS
CRAN checks:	ggmugs results

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