G-SESAME

G-SESAME measures semantic similarity between Gene Ontology (GO) terms and assesses functional similarity among gene products to support GO-based biomedical knowledge mining.

Key Features:

• Semantic Similarity Measurement: Implements algorithms to evaluate the semantic similarity between GO terms across biological process, molecular function, and cellular component ontologies.
• Functional Similarity Assessment: Quantifies functional similarity among gene products by comparing their GO term annotations.
• GO Data Mining: Extracts and analyzes information from the GO database to enable discovery of relationships among GO terms and annotated gene products.

Scientific Applications:

• Gene Function Prediction: Uses semantic similarity between GO annotations to predict potential functions for uncharacterized genes.
• Pathway Analysis: Identifies functionally related genes and supports mapping of biological pathways and interaction networks based on GO term similarity.
• Comparative Genomics: Compares GO term similarities across species to support cross-species functional inference.

Methodology:

Computational algorithms quantify semantic relationships between GO terms, account for the hierarchical structure of the GO database, and leverage semantic similarity measures to assess functional similarity among gene products.