RaMP

RaMP: Integrated Gene and Metabolite Pathway Database

RaMP integrates genes and metabolites into unified biochemical and disease pathways by consolidating data from Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, WikiPathways, and the Human Metabolome Database (HMDB).

Key Features:

• Pathway Integration: Merges pathway annotations from KEGG, Reactome, WikiPathways, and HMDB to map genes and metabolites to biochemical and disease pathways.
• Complex Query Support: Enables batch and structured queries to retrieve pathway-associated genes and metabolites, including condition-specific associations (e.g., glycolysis and lung cancer).
• Pathway Overrepresentation Analysis: Performs overrepresentation analysis using gene and/or metabolite input lists to identify significantly enriched pathways.
• Gene–Metabolite Mapping: Provides integrated mappings between genes, metabolites, and pathways for multi-omics analysis.

Scientific Applications:

• Translational Multi-Omics Analysis: Interprets metabolomics data in the context of biochemical and disease pathways, supporting biomarker discovery and therapeutic target identification.

Methodology:

Aggregates and harmonizes pathway annotations from KEGG, Reactome, WikiPathways, and HMDB into a unified relational database structure, enabling gene and metabolite mapping, batch querying, and statistical pathway overrepresentation analysis.