GOnet

GOnet performs Gene Ontology (GO) annotation and enrichment analysis on gene or protein lists to map human and mouse entries to GO terms and reveal term-term and gene-term relationships.

Key Features:

• Interactive visualization: Visualizes term-term and gene-term relationships within the GO hierarchy to represent connections between GO terms and specific genes or proteins.
• GO term annotation analysis: Maps provided gene or protein entries from human or mouse datasets onto relevant subsets of Gene Ontology terms.
• GO term enrichment analysis: Scans input lists to identify GO categories that are statistically overrepresented across biological process, molecular function, and cellular component domains.
• Data output formats: Generates parsable output formats for integration into downstream analyses.
• Cross-species compatibility: Supports analysis of both human and mouse gene/protein datasets.

Scientific Applications:

• -omics data interpretation: Facilitates interpretation of genomics, transcriptomics, and proteomics gene/protein lists by providing GO-based annotation and enrichment results to identify functional patterns and processes relevant to biological mechanisms in health and disease.

Methodology:

Takes an input list of gene or protein entries, maps entries onto the Gene Ontology framework, performs enrichment analysis to identify overrepresented GO categories, and computes term-term and gene-term relationships for visualization.