Date: 2024-07-26
Intuitively and effectively visualizing genetic mutation data can help researchers to better understand genomic data and validate findings. G3viz
is an R package which provides an easy-to-use lollipop-diagram tool. It enables users to interactively visualize detailed translational effect of genetic mutations in RStudio or a web browser, without having to know any HTML5/JavaScript technologies.
The features of g3viz
include
- Interactive (zoom & pan, tooltip, brush selection tool, and interactive legend)
- Highlight and label positional mutations
- 8 ready-to-use chart themes
- Highly customizable with over 50 chart options and over 35 color schemes
- Save charts in PNG or high-quality SVG format
- Built-in function to retrieve protein domain information and resolve gene isoforms
- Built-in function to map genetic mutation type (a.k.a, variant classification) to mutation class
Install from R repository
# install package
install.packages("g3viz", repos = "http://cran.us.r-project.org")
or install development version from github
# Check if "devtools" installed
if("devtools" %in% rownames(installed.packages()) == FALSE){
install.packages("devtools")
}
# install from github
devtools::install_github("g3viz/g3viz")
Guo, X., et al. (2020). G3viz: an R package to interactively visualize genetic mutation data using a lollipop-diagram. Bioinformatics, 36(3), 928-929.
1.2.0
- Updated Pfam (v37.0) (date: 2024-07-29)
- Updated UniProtKB (date: 2024-07-29)
- Updated
hgnc2pfam.df.rda
(date: 2024-07-29)
1.1.5
- Updated getMutationsFromCbioportal (date: 2022-06-23)
- Remove Dependency cgdsr; Add Dependency cBioPortalData (date: 2022-06-23)
- Updated
hgnc2pfam.df.rda
(date: 2022-06-24)