EviNet

EviNet performs network enrichment analysis to identify significant interactions and enrichments of user-defined gene sets within a global gene interaction network.

Key Features:

• Network enrichment analysis: Identifies significant interactions and enrichments of gene sets by leveraging a global gene interaction network.
• Flexible gene set definition: Accepts gene sets defined prior to upload or generated interactively from an uploaded file using differential expression criteria.
• Global network scope: Applies analysis to any genes present in the global network rather than restricting to genes annotated to specific pathways or ontology terms.
• Integration of diverse molecular mechanisms: Connects genes through various molecular mechanisms instead of limiting analysis to a single high-throughput platform.
• Sensitivity to small gene sets: Provides statistical power to detect enrichment in very small gene sets, including single genes.
• Pathway and network selection: Allows selection from a collection of pathways and networks to constrain or compare analyses.

Scientific Applications:

• Network-level interpretation: Enriches novel or experimentally defined gene sets by interpreting them in the context of a global gene interaction network.
• Beyond pathway-centric analysis: Explores gene interactions that are not limited to pre-defined pathway or ontology annotations.
• Cross-mechanism interaction studies: Integrates interactions arising from diverse molecular mechanisms for comprehensive network analysis.
• Scalable study designs: Supports both broad-scale genomic studies and focused investigations of specific genes or very small gene sets.

Methodology:

Performs network enrichment analysis leveraging a global gene interaction network to identify significant interactions and enrichments within user-defined gene sets; gene sets can be defined from uploaded files using differential expression criteria; analyses can use selected pathways and networks from an available collection.