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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.0 |
rolling source/ R- | ggmugs_0.6.0.tar.gz |
169.0 KiB |
0.6.0 |
rolling linux/jammy R-4.5 | ggmugs_0.6.0.tar.gz |
16.4 KiB |
0.6.0 |
rolling linux/noble R-4.5 | ggmugs_0.6.0.tar.gz |
16.3 KiB |
0.6.0 |
latest source/ R- | ggmugs_0.6.0.tar.gz |
169.0 KiB |
0.6.0 |
latest linux/jammy R-4.5 | ggmugs_0.6.0.tar.gz |
16.4 KiB |
0.6.0 |
latest linux/noble R-4.5 | ggmugs_0.6.0.tar.gz |
16.3 KiB |
0.6.0 |
2026-04-23 source/ R- | ggmugs_0.6.0.tar.gz |
169.0 KiB |
0.6.0 |
2026-04-09 windows/windows R-4.5 | ggmugs_0.6.0.zip |
19.2 KiB |
0.6.0 |
2025-04-20 source/ R- | ggmugs_0.6.0.tar.gz |
169.0 KiB |