GOCompare

GOCompare performs comparative functional enrichment analysis of Gene Ontology (GO) terms between species in R to identify shared and species-specific biological processes.

Key Features:

• R implementation: Implemented in R for processing and comparing functional enrichment analysis (FEA) results.
• Comparative Framework: Compares GO term lists from different species to extend traditional FEA approaches.
• Graph Theory Integration: Employs graph theory to identify relevant and statistically significant GO categories and species-specific functions.
• Statistical Relevance: Focuses on statistical signals to detect functional similarities and differences between gene lists.
• Orthologue Comparison: Supports comparison using orthologues, as demonstrated with Oryza sativa subsp. japonica and Arabidopsis thaliana.

Scientific Applications:

• Functional Insights: Identifies functional information complementary to FEA, exemplified by reactive oxygen species management and ion binding in aluminum tolerance studies.
• Hypothesis Generation: Reveals functional similarities and differences to generate hypotheses guiding experimental design and follow-up investigations.
• Comparative Genomics: Facilitates comparative genomics analyses to assess conservation and divergence of gene functions across species.

Methodology:

Analyzes FEA results to compare GO terms across species and uses graph theory to systematically identify relevant GO categories and species-specific functions; demonstrated on aluminum tolerance-associated genes in Oryza sativa subsp. japonica and their orthologues in Arabidopsis thaliana, detecting similarities related to reactive oxygen species management and ion binding.