Metascape

Metascape performs gene-list annotation, functional enrichment, and interactome/network analysis for OMICs datasets by integrating over 40 independent knowledgebases to support pathway inference and protein complex identification.

Key Features:

• Functional Enrichment Analysis: Identifies statistically enriched biological pathways and processes associated with input gene lists.
• Interactome Analysis: Analyzes protein-protein interactions and network context to reveal modules and complexes.
• Gene Annotation: Aggregates annotations from over 40 independent knowledgebases to provide comprehensive gene-level information.
• Membership Search: Searches gene membership across pathways, protein complexes, and curated biological entities.
• Comparative Analysis: Compares multiple independent and orthogonal datasets to highlight shared and distinct biological signals.

Scientific Applications:

• OMICs Data Interpretation: Interprets OMICs-derived gene lists to derive biological insights.
• Pathway and Process Discovery: Discovers enriched pathways and biological processes underlying experimental gene sets.
• Protein Interaction and Complex Identification: Identifies protein-protein interaction modules and candidate protein complexes from gene sets.
• Cross-study Comparative Analysis: Integrates and contrasts results across independent experiments to validate and prioritize findings.

Methodology:

Integrates diverse biological databases and over 40 independent knowledgebases into a unified analytical pipeline for annotation, enrichment, interactome analysis, membership search, and comparative analysis.