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G3viz: an R package to interactively visualize genetic mutation data using a lollipop-diagram
Xin Guo1,2,3, Bo Zhang1,2,3, Wenqi Zeng2,3
1School of Innovation and Entrepreneurship, Southern University of Science and Technology, Nanshan, Shenzhen 518055, China.
Bioinformatics (Oxford, England)
|August 9, 2019
Summary
g3viz is a new R package that simplifies visualizing genetic mutation data using interactive lollipop diagrams. This tool enhances cancer genomics research by offering an easy-to-use platform for exploring and annotating mutation effects.
Area of Science:
- Bioinformatics
- Computational Biology
- Cancer Genomics
Background:
- Lollipop diagrams are crucial for visualizing genetic mutation data in cancer genomics.
- Existing tools lack comprehensive functionality and ease of use for creating these diagrams.
Purpose of the Study:
- Introduce g3viz, an R package designed for interactive lollipop diagram visualization.
- Provide researchers with a user-friendly tool for exploring genetic mutation data.
Main Methods:
- Developed g3viz as an R package utilizing JavaScript for interactive web-based visualizations.
- Enabled users to generate high-quality figures through simple R code integration.
Main Results:
- g3viz allows interactive exploration of genetic mutation data via lollipop diagrams.
- Users can easily annotate findings and export high-quality figures.
Conclusions:
- g3viz offers a valuable and accessible tool for cancer genomics research.
- The package supports researchers with varying levels of bioinformatics expertise.
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