ggVolcanoR: Visualize differential expression datasets

★ ☆ ☆ ☆ ☆ | 1 reviews | 8 users

Last accessed Apr 07, 2025
Author Kerry A. Mullan Mathematical biologist postdoctoral researcher

About the app

ggVolcanoR shiny app allows for customizable generation and visualization of volcano plots, correlation plots, upset plots, and heatmaps for differential expression datasets, via a user-friendly interactive interface in a web-based application without requiring programming expertise. A volcano plot is a visualization tool used in genomics and statistical analysis to identify and visualize differences in gene expression or statistical significance between two conditions. It typically displays log-fold changes on the x-axis and the negative logarithm of the p-values on the y-axis, allowing for a intuitive assessment of which genes or variables exhibit substantial changes in response to a condition. ggVolcanoR offers practical options to optimize the generation of publication-quality volcano and other analytical plots for analyzing and comparing dysregulated genes/proteins across multiple differential expression datasets. Published: Comput Struct Biotechnol J. 2021 Oct 13:19:5735-5740.

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