OmicVerse visualization for bulk, color systems, and single-cell data

What problem does it solves? Generating high-quality, publication-ready visualizations for diverse omics data types (bulk, single-cell) often requires extensive customization and knowledge of plotting libraries. This Skill simplifies and standardizes the visualization process within omicverse, making it easy to create impactful figures.

Core Features & Use Cases

• Standardized Plotting: Apply OmicVerse's default styling for consistent and professional-looking figures.
• Bulk RNA-seq Specific Plots: Generate Venn diagrams for DEG overlaps and volcano plots for differential expression.
• Advanced Color Management: Utilize the Forbidden City palette, predefined color schemes, and custom gradients for aesthetic control.
• Single-Cell Embeddings: Create sophisticated UMAP/MDE embeddings with density overlays, convex hulls, and optimized palettes.
• Use Case: Visualize differentially expressed genes from a bulk RNA-seq experiment using a volcano plot, then create a UMAP embedding of single-cell data, coloring by cell type using a custom Forbidden City palette, and adding density overlays.

Quick Start

Generate a volcano plot for my DEG results, then create a UMAP embedding of my single-cell data, coloring by 'clusters' using a Forbidden City palette.