FunMappOne

FunMappOne visualizes and hierarchically summarizes functional enrichment results for human and mouse genes derived from omics experiments.

Key Features:

• Database integration: Computes enrichment annotations using Gene Ontology, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome.
• Hierarchical summarization: Exploits the hierarchical structure of functional annotations to summarize enrichment results across annotation levels.
• Enrichment analysis: Identifies significant functional terms and pathways from input gene lists for downstream interpretation.
• Support for quantitative inputs: Accepts gene lists with optional modification magnitudes to incorporate effect sizes into analyses.
• Visualization of functional maps: Generates maps that organize functional terms and pathways into grouped representations to facilitate comparison across experiments.
• Scalability: Handles multiple experiments and large numbers of enriched terms to support interpretation of high-dimensional results.

Scientific Applications:

• Functional annotation of omics results: Assigns enriched Gene Ontology, KEGG, and Reactome categories to gene lists from transcriptomics or other omics experiments.
• Comparative analysis across conditions: Compares functional enrichment patterns across multiple experiments or conditions to identify shared and distinct pathway-level changes.
• Pathway and regulatory interpretation: Summarizes complex enrichment results to aid interpretation of biological processes and regulatory mechanisms.

Methodology:

Accepts input gene lists for human or mouse with optional modification magnitudes, performs enrichment analysis against Gene Ontology, KEGG and Reactome, and presents results as hierarchical maps organizing significant functional annotations.