plot-volcano

What problem does it solve?

Researchers often need to quickly translate differential expression results into publication-quality volcano plots that clearly convey fold change and significance, while offering flexible customization and labeling.

Core Features & Use Cases

• Auto-detect common DE columns (gene/symbol) and flexible column mappings to minimize preprocessing
• Support asymmetric and symmetric fold-change cutoffs and p-value thresholds
• Multiple labeling strategies: top by score, highlighted gene sets, or both
• Continuous coloring by an expression metric or categorical coloring with custom colors
• Publication-ready styling, smart label placement (adjustText), and quadrant counts
• Output options including PNG (default) and SVG, plus an annotated result table for downstream analysis
• Integrates with common RNA-seq DE workflows (DESeq2, edgeR, limma) and handles large feature sets

Quick Start

Provide a differential expression result table with log2FC and p-value columns, and run the volcano plot generator to produce a publication-ready figure.