Enrichr

Enrichr performs gene-set enrichment analysis to identify biological pathways and signatures enriched in input gene or protein lists.

Key Features:

• Extensive Gene-Set Libraries: Contains over 30 curated gene-set libraries for enrichment comparisons across diverse biological contexts.
• Alternative Ranking Approach: Implements an alternative ranking method to prioritize and rank enriched terms.
• Interactive Visualization (D3): Provides interactive visualizations implemented with the Data Driven Documents (D3) JavaScript library to explore enrichment results.
• Embeddable Integration: Can be embedded into other gene-list analysis tools to integrate enrichment functionality into external workflows.

Scientific Applications:

• Cancer differential expression analysis: Used to compare enrichment signatures between cancer cell lines and matched normal tissues, revealing consistent upregulation of the polycomb group PRC2 and enrichment for the histone mark H3K27me3 across many cancer cell lines.
• Immune signaling alteration detection: Applied to detect alterations in Toll-like receptor and interleukin signaling in K562 cells compared to normal myeloid CD33+ cells.
• Global disease-versus-normal comparisons: Enables global visualization of significant differences between normal tissues and disease states for hypothesis generation and interpretation.

Methodology:

Processes input gene or protein lists against the internal gene-set libraries to compute enrichment scores, applies an alternative ranking method to prioritize terms, and presents results via interactive D3 visualizations.