GAIT-GM

GAIT-GM performs integrative analysis of gene expression and metabolomics data to annotate metabolites to KEGG pathways and model associations between gene expression and metabolite level changes.

Key Features:

• Annotation Tool: Uses text mining to map features to KEGG pathways and leverages interconnected databases to map gene IDs across different species, increasing metabolite annotation coverage.
• Integration Tool: Models changes in metabolite levels as a function of gene expression and supports both unbiased relationship discovery and biologically informed models that incorporate pathway data.

Scientific Applications:

• Multi-omics integration: Enables joint analysis of gene expression and metabolomics to reveal gene–metabolite relationships.
• Pathway and mechanism discovery: Facilitates mapping metabolites to KEGG pathways and investigating pathway-level links relevant to biological processes and disease mechanisms.

Methodology:

Text mining for pathway annotation and statistical modeling to correlate gene expression with metabolite levels.