PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 1999Nucleic Acids Research32,516 citationsOpen Access

KEGG: Kyoto Encyclopedia of Genes and Genomes

View Full Paper
HOHiroyuki OgataSGSusumu GotoKSKazushige Sato

Key Points

  • The aim is to present KEGG as a comprehensive resource for analyzing gene functions in relation to biochemical networks.
  • The KEGG PATHWAY database consists of graphical representations of biochemical pathways.
  • KEGG maintains GENES and LIGAND databases for gene catalogs and chemical compounds, respectively.
  • Computational tools for reconstructing pathways and predicting gene regulatory networks are provided.
  • KEGG offers extensive diagrams for metabolic and regulatory pathways.
  • Gene catalogs are continuously updated for complete and selected partial genomes.
  • Computational tools enhance the analysis of biochemical pathways and gene networks.

Abstract

Kyoto Encyclopedia of Genes and Genomes (KEGG) is a knowledge base for systematic analysis of gene functions in terms of the networks of genes and molecules. The major component of KEGG is the PATHWAY database that consists of graphical diagrams of biochemical pathways including most of the known metabolic pathways and some of the known regulatory pathways. The pathway information is also represented by the ortholog group tables summarizing orthologous and paralogous gene groups among different organisms. KEGG maintains the GENES database for the gene catalogs of all organisms with complete genomes and selected organisms with partial genomes, which are continuously re-annotated, as well as the LIGAND database for chemical compounds and enzymes. Each gene catalog is associated with the graphical genome map for chromosomal locations that is represented by Java applet. In addition to the data collection efforts, KEGG develops and provides various computational tools, such as for reconstructing biochemical pathways from the complete genome sequence and for predicting gene regulatory networks from the gene expression profiles. The KEGG databases are daily updated and made freely available (http://www.genome.ad.jp/kegg/).

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ogata et al. (1999) studied this question.

synapsesocial.com/papers/698ca6a7c936be1242ae2472https://doi.org/10.1093/nar/27.1.29
Ask AI
Helpful
Bookmark
Share
View Full Paper