ggmanh
Visualization Tool for GWAS Result
Bioconductor version: Release (3.19)
Manhattan plot and QQ Plot are commonly used to visualize the end result of Genome Wide Association Study. The "ggmanh" package aims to keep the generation of these plots simple while maintaining customizability. Main functions include manhattan_plot, qqunif, and thinPoints.
Author: John Lee [aut, cre], John Lee [aut] (AbbVie), Xiuwen Zheng [ctb, dtc]
Maintainer: John Lee <swannyy.stat at gmail.com>
citation("ggmanh")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ggmanh")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ggmanh")
Guide to ggmanh Package | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Genetics, GenomeWideAssociation, Software, Visualization |
Version | 1.8.0 |
In Bioconductor since | BioC 3.15 (R-4.2) (2.5 years) |
License | MIT + file LICENSE |
Depends | methods, ggplot2 |
Imports | gdsfmt, ggrepel, grDevices, RColorBrewer, rlang, scales, SeqArray(>= 1.32.0), stats |
System Requirements | |
URL |
See More
Suggests | BiocStyle, rmarkdown, knitr, testthat (>= 3.0.0), markdown, GenomicRanges |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | SAIGEgds |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | ggmanh_1.8.0.tar.gz |
Windows Binary | ggmanh_1.8.0.zip (64-bit only) |
macOS Binary (x86_64) | ggmanh_1.8.0.tgz |
macOS Binary (arm64) | ggmanh_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ggmanh |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ggmanh |
Bioc Package Browser | https://code.bioconductor.org/browse/ggmanh/ |
Package Short Url | https://bioconductor.org/packages/ggmanh/ |
Package Downloads Report | Download Stats |