ggVolcanoR

ggVolcanoR generates customizable visualizations of differential expression datasets to support interpretation in transcriptomic and proteomic analyses.

Key Features:

• Customizable Plot Generation: Supports creation of volcano plots, correlation plots, upset plots, and heatmaps for analysis of dysregulated expression data.
• Comparative Analysis Capabilities: Provides enhanced options for analyzing and comparing dysregulated genes or proteins across multiple datasets with customization aimed at publication-quality figures.
• Data Export Functionality: Exports customized lists of filtered dysregulated expression data suitable for downstream pathway analysis.

Scientific Applications:

• Transcriptomic Analysis: Visualization and interpretation of differential gene expression in transcriptomic studies.
• Proteomic Analysis: Visualization and interpretation of differential protein expression in proteomic studies.
• Pathway Analysis and Biomarker Discovery: Generation of filtered gene/protein lists and plots to support pathway analysis and biomarker identification.
• Comparative Studies: Comparative analysis of dysregulated genes or proteins across multiple experimental conditions or datasets.

Methodology:

Implemented in R using the Shiny framework for interactive data visualization of differential expression results.