Kyoto Encyclopedia of Genes and Genomes (KEGG) Database

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A Kyoto Encyclopedia of Genes and Genomes (KEGG) Database is a curated database collections of Gene Data and Genome Data.

References

2009

  • http://www.genome.ad.jp/kegg/
    • A grand challenge in the post-genomic era is a complete computer representation of the cell, the organism, and the biosphere, which will enable computational prediction of higher-level complexity of cellular processes and organism behaviors from genomic and molecular information. Towards this end we have been developing a bioinformatics resource named KEGG as part of the research projects of the Kanehisa Laboratories in the Bioinformatics Center of Kyoto University and the Human Genome Center of the University of Tokyo.

2009

  • (Wikipedia, 2009) ⇒ https://en.wikipedia.org/wiki/KEGG
    • KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of online databases dealing with genomes, enzymatic pathways, and biological chemicals. The PATHWAY database records networks of molecular interactions in the cells, and variants of them specific to particular organisms.
    • The KEGG, the Kyoto Encyclopedia of Genes and Genomes, was initiated by the Japanese human genomeprogramme in 1995[1]. According to the developers they consider KEGG to be a "computer representation" of the biological system[2]. The KEGG database can be utilized for modeling and simulation, browsing and retrieval of data. It is a part of the systems biology approach.
    • KEGG maintains five main databases
      • KEGG Atlas
      • KEGG Pathway
      • KEGG Genes
      • KEGG Ligand
      • KEGG BRITE

2004

  • Minoru Kanehisa, Susumu Goto, Shuichi Kawashima, Yasushi Okuno, and Masahiro Hattori. (2004). “The KEGG Resource for Deciphering the Genome.” In: Nucleic Acids Research, 32(1) Database Issue.
    • A grand challenge in the post-genomic era is a complete computer representation of the cell and the organism, which will enable computational prediction of higher-level complexity of cellular processes and organism behavior from genomic information. Toward this end we have been developing a knowledge-based approach for network prediction, which is to predict, given a complete set of genes in the genome, the protein interaction networks that are responsible for various cellular processes. KEGG at http://www.genome.ad.jp/kegg/ is the reference knowledge base that integrates current knowledge on molecular interaction networks such as pathways and complexes (PATHWAY database), information about genes and proteins generated by genome projects (GENES/SSDB/KO databases) and information about biochemical compounds and reactions (COMPOUND/GLYCAN/REACTION databases). These three types of database actually represent three graph objects, called the protein network, the gene universe and the chemical universe. New efforts are being made to abstract knowledge, both computationally and manually, about ortholog clusters in the KO (KEGG Orthology) database, and to collect and analyze carbohydrate structures in the GLYCAN database.

2000

  • Minoru Kanehisa, and Susumu Goto. (2000). “KEGG: Kyoto encyclopedia of genes and genomes.” In: Nucleic Acids Research, 28:27{30.
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