ggmugs: Visualization of Multiple Genome-Wide Association Study Summary Statistics
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 + file LICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | ggmugs results |
Documentation:
| Reference manual: | ggmugs.html , ggmugs.pdf |
Downloads:
| Package source: | ggmugs_0.6.0.tar.gz |
| Windows binaries: | r-devel: ggmugs_0.6.0.zip, r-release: ggmugs_0.6.0.zip, r-oldrel: ggmugs_0.6.0.zip |
| macOS binaries: | r-release (arm64): ggmugs_0.6.0.tgz, r-oldrel (arm64): ggmugs_0.6.0.tgz, r-release (x86_64): ggmugs_0.6.0.tgz, r-oldrel (x86_64): ggmugs_0.6.0.tgz |
Linking:
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