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

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