KEGG for integration and interpretation of large-scale molecular data sets

KEGG is a database resource that integrates genomic, chemical and systemic functional information, linking gene catalogs from completely sequenced genomes to higher-level systemic functions of the cell, organism and ecosystem. Its knowledge base captures experimental knowledge in computable forms, namely KEGG pathway maps, BRITE functional hierarchies and KEGG modules, and continuous work improves cross-species annotation by linking genomes to molecular networks through the KEGG Orthology system.

The update reports KEGG Mapper, a collection of tools for KEGG PATHWAY, BRITE and MODULE mapping that enables integration and interpretation of large-scale data sets. It also describes a variant mapping procedure that extends the knowledge base by integrating data such as disease genes and drug targets into KEGG molecular networks, and recent content enhancements incorporating disease and drug information used in practice to support translational bioinformatics.