MegaGO

MegaGO computes functional similarity between sets of Gene Ontology (GO) terms to compare functional profiles across metagenomics, metatranscriptomics, and metaproteomics datasets.

Key Features:

• Semantic similarity analysis: Leverages semantic similarity between Gene Ontology (GO) terms to compute functional similarities and address challenges from GO's deeply branched structure.
• High performance and scalability: Optimized for speed and efficiency, capable of processing thousands of GO terms in seconds.

Scientific Applications:

• Microbiome functional profiling: Compare functional dynamics within microbial communities using GO-term comparisons across metagenomics, metatranscriptomics, and metaproteomics data.
• Comparative functional analysis: Quantify changes in functional profiles across conditions or environments by comparing large sets of GO terms.
• Ecological and biomedical studies: Provide insights into the functional potential and adaptability of microbiomes for ecological assessments and biomedical investigations.

Methodology:

Computes semantic similarity between Gene Ontology (GO) terms to derive functional similarity scores, using optimized algorithms for high-throughput processing of thousands of GO terms.