G3viz: an R package to interactively visualize genetic mutation data using a lollipop-diagram

• DOI: 10.1093/bioinformatics/btz631
• Publication Date: 2019-08-07T11:16:06Z
• Authors: Xin Guo; Bo Zhang; Wenqi Zeng; Shuting Zhao; Dongliang Ge
• Keywords: Proteomics; 0301 basic medicine; 0303 health sciences; 03 medical and health sciences; Mutation; Genomics; Web Browser; Software

Abstract

Summary The lollipop-diagram is one of the widely used graphical representations to visualize and explore translational effects of genetic mutations in cancer genomics. However, an easy-to-use lollipop-diagram tool with full functionality is still lacking. Here, we introduce g3viz, an R package that enables researchers to explore genetic mutation data using a lollipop-diagram in a web browser. With a few lines of R code, users can interactively visualize data details, annotate findings and export resultant diagrams in high-quality figures. Because of usefulness and usability, g3viz can be generally exploited by researchers with different levels of bioinformatics skills and programming experience.

Availability and implementation The R package is freely available under the MIT license from CRAN (http://cran.r-project.org/web/packages/g3viz). The g3lollipop JavaScript package is freely available under MIT license at GitHub (https://github.com/g3viz/g3lollipop.js).

Supplementary information Supplementary data are available at Bioinformatics online.