4.8 Article

KEGG for taxonomy-based analysis of pathways and genomes

Journal

NUCLEIC ACIDS RESEARCH
Volume 51, Issue D1, Pages D587-D592

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkac963

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KEGG is a manually curated database resource that integrates various biological objects classified into systems, genomic, chemical, and health information. Through the KEGG identifier and URL links, users can retrieve and browse information for different biological objects, including pathway maps, hierarchy, and genomes. KEGG has also improved KO assignment annotation and included more eukaryotic genomes for better representation of organisms in the taxonomic tree. The taxonomy mapping enables analysis of the conservation of functional and physical links among genes in different organism groups.
KEGG (https://www.kegg.jp ) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health information. Each object (database entry) is identified by the KEGG identifier (kid), which generally takes the form of a prefix followed by a five-digit number, and can be retrieved by appending /entry/kid in the URL. The KEGG pathway map viewer, the Brite hierarchy viewer and the newly released KEGG genome browser can be launched by appending /pathway/kid, /brite/kid and /genome/kid, respectively, in the URL. Together with an improved annotation procedure for KO (KEGG Orthology) assignment, an increasing number of eukaryotic genomes have been included in KEGG for better representation of organisms in the taxonomic tree. Multiple taxonomy files are generated for classification of KEGG organisms and viruses, and the Brite hierarchy viewer is used for taxonomy mapping, a variant of Brite mapping in the new KEGG Mapper suite. The taxonomy mapping enables analysis of, for example, how functional links of genes in the pathway and physical links of genes on the chromosome are conserved among organism groups.

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