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ggmugs  

Visualization of Multiple Genome-Wide Association Study Summary Statistics
View on CRAN: Click here


Download and install ggmugs package within the R console
Install from CRAN:
install.packages("ggmugs")

Install from Github:
library("remotes")
install_github("cran/ggmugs")

Install by package version:
library("remotes")
install_version("ggmugs", "0.6.0")



Attach the package and use:
library("ggmugs")
Maintained by
Wanjun Gu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-07
Latest Update: 2024-05-07
Description:
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>.
How to cite:
Wanjun Gu (2024). ggmugs: Visualization of Multiple Genome-Wide Association Study Summary Statistics. R package version 0.6.0, https://cran.r-project.org/web/packages/ggmugs. Accessed 07 Nov. 2024.
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