Xin Guo1,2,3, Bo Zhang1,2,3, Wenqi Zeng2,3, Shuting Zhao2,3, Dongliang Ge1,2,3. 1. School of Innovation and Entrepreneurship, Southern University of Science and Technology, Nanshan, Shenzhen 518055, China. 2. Shenzhen Apostle-SUSTECH LTD, Baoan, Shenzhen 518101, China. 3. Apostle Inc., Menlo Park, CA 94025, USA.
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.
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.