1. G3viz: an R package to interactively visualize genetic mutation data using a lollipop-diagram
- Author
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Bo Zhang, Ge Dongliang, Zhao Shuting, Xin Guo, and Wenqi Zeng
- Subjects
Proteomics ,Statistics and Probability ,Computer science ,Web Browser ,JavaScript ,Biochemistry ,World Wide Web ,03 medical and health sciences ,0302 clinical medicine ,Software ,MIT License ,Molecular Biology ,030304 developmental biology ,computer.programming_language ,0303 health sciences ,business.industry ,Diagram ,Usability ,Genomics ,Computer Science Applications ,Computational Mathematics ,R package ,Computational Theory and Mathematics ,030220 oncology & carcinogenesis ,Mutation ,business ,computer - 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.
- Published
- 2019