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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>.
Getting started
Browse package contents
Package details |
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| Author | Wanjun Gu [aut, cre] (<https://orcid.org/0000-0002-7342-7000>) |
| Maintainer | Wanjun Gu <wanjun.gu@ucsf.edu> |
| License | MIT + file LICENSE |
| Version | 0.6.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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