GO annotation

Calculates overrepresented GO terms in the network and display them as a network of significant GO terms.

Visualizes enrichments of pathways as an enrichment map, a network representing overlaps among enriched pathways.

Uses Gene Ontology (GO) categories to direct the network graph layout process and to emphasize nodes biological function.

Finds candidate genes in a network that are associated with user-defined target GO terms.

a tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization

Creates and visualizes a functionally grouped network of terms/pathways

Enrichment analysis and visualization - integrated analysis of multiple sample matched data sets in the context of systematic annotation

HGPEC can effectively predict novel disease-gene and disease-disease associations and support network- and rank-based visualization

Explore Reactome pathways and search for diseases related pathways and network patterns using the Reactome functional interaction network

Systematically partition the given graph, and layout and color nodes based on GO terms.

Statistical Tracking of Ontological Phrases

The Network Ontology Analysis plugin performs ontology overrepresentation analysis based on the network connections among annotate nodes.