G3viz
G3viz visualizes genetic mutation data using lollipop-diagrams to illustrate translational effects of mutations in cancer genomics.
Key Features:
- Lollipop-diagrams: Generates lollipop-diagrams to represent the positional and translational effects of genetic mutations.
- R integration: Provides R package functions to produce and manipulate mutation visualizations.
- Annotation: Supports embedding mutation annotations and metadata within diagrams.
- Export of figures: Exports annotated lollipop-diagrams as publication-quality figures.
- JavaScript rendering engine: Uses the g3lollipop.js JavaScript library to support diagram rendering.
Scientific Applications:
- Cancer genomics visualization: Visualizes mutation distributions and translational impacts in cancer genomics datasets.
- Mutation interpretation and annotation: Assists identification of recurrent sites and annotation of translational consequences of variants.
- Figure generation for publication: Produces exportable figures for presentation and publication of mutation analyses.
Methodology:
G3viz generates lollipop-diagrams via an R interface and uses the g3lollipop.js JavaScript library to support rendering.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/11/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Guo X, Zhang B, Zeng W, Zhao S, Ge D. G3viz: an R package to interactively visualize genetic mutation data using a lollipop-diagram. Bioinformatics. 2019;36(3):928-929. doi:10.1093/bioinformatics/btz631. PMID:31393560.
PMID: 31393560
Funding: - Shenzhen fundamental research funding: JCYJ20180504165657443
Documentation
Downloads
Links
Repository
https://github.com/G3viz/g3vizIssue tracker
https://github.com/G3viz/g3viz/issues