Literature DB >> 11752249

The KEGG databases at GenomeNet.

Minoru Kanehisa1, Susumu Goto, Shuichi Kawashima, Akihiro Nakaya.   

Abstract

The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order functional meanings and utilities of the cell or the organism from its genome information. KEGG consists of the PATHWAY database for the computerized knowledge on molecular interaction networks such as pathways and complexes, the GENES database for the information about genes and proteins generated by genome sequencing projects, and the LIGAND database for the information about chemical compounds and chemical reactions that are relevant to cellular processes. In addition to these three main databases, limited amounts of experimental data for microarray gene expression profiles and yeast two-hybrid systems are stored in the EXPRESSION and BRITE databases, respectively. Furthermore, a new database, named SSDB, is available for exploring the universe of all protein coding genes in the complete genomes and for identifying functional links and ortholog groups. The data objects in the KEGG databases are all represented as graphs and various computational methods are developed to detect graph features that can be related to biological functions. For example, the correlated clusters are graph similarities which can be used to predict a set of genes coding for a pathway or a complex, as summarized in the ortholog group tables, and the cliques in the SSDB graph are used to annotate genes. The KEGG databases are updated daily and made freely available (http://www.genome.ad.jp/kegg/).

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Year:  2002        PMID: 11752249      PMCID: PMC99091          DOI: 10.1093/nar/30.1.42

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  12 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  The Pfam protein families database.

Authors:  A Bateman; E Birney; R Durbin; S R Eddy; K L Howe; E L Sonnhammer
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  Pathway databases and higher order function.

Authors:  M Kanehisa
Journal:  Adv Protein Chem       Date:  2000

4.  A heuristic graph comparison algorithm and its application to detect functionally related enzyme clusters.

Authors:  H Ogata; W Fujibuchi; S Goto; M Kanehisa
Journal:  Nucleic Acids Res       Date:  2000-10-15       Impact factor: 16.971

5.  The PROSITE database, its status in 1999.

Authors:  K Hofmann; P Bucher; L Falquet; A Bairoch
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

6.  DBGET/LinkDB: an integrated database retrieval system.

Authors:  W Fujibuchi; S Goto; H Migimatsu; I Uchiyama; A Ogiwara; Y Akiyama; M Kanehisa
Journal:  Pac Symp Biocomput       Date:  1998

7.  Effective protein sequence comparison.

Authors:  W R Pearson
Journal:  Methods Enzymol       Date:  1996       Impact factor: 1.600

Review 8.  Linking databases and organisms: GenomeNet resources in Japan.

Authors:  M Kanehisa
Journal:  Trends Biochem Sci       Date:  1997-11       Impact factor: 13.807

9.  A database for post-genome analysis.

Authors:  M Kanehisa
Journal:  Trends Genet       Date:  1997-09       Impact factor: 11.639

10.  Searching for amino acid sequence motifs among enzymes: the Enzyme-Reaction Database.

Authors:  M Suyama; A Ogiwara; T Nishioka; J Oda
Journal:  Comput Appl Biosci       Date:  1993-02
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  467 in total

1.  LIGAND: database of chemical compounds and reactions in biological pathways.

Authors:  Susumu Goto; Yasushi Okuno; Masahiro Hattori; Takaaki Nishioka; Minoru Kanehisa
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  GeneCensus: genome comparisons in terms of metabolic pathway activity and protein family sharing.

Authors:  J Lin; J Qian; D Greenbaum; P Bertone; R Das; N Echols; A Senes; B Stenger; M Gerstein
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

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Authors:  Zheng Wang; Dagmar H Leary; Anthony P Malanoski; Robert W Li; W Judson Hervey; Brian J Eddie; Gabrielle S Tender; Shelley G Yanosky; Gary J Vora; Leonard M Tender; Baochuan Lin; Sarah M Strycharz-Glaven
Journal:  Appl Environ Microbiol       Date:  2014-11-14       Impact factor: 4.792

4.  Enzyme-specific profiles for genome annotation: PRIAM.

Authors:  Clotilde Claudel-Renard; Claude Chevalet; Thomas Faraut; Daniel Kahn
Journal:  Nucleic Acids Res       Date:  2003-11-15       Impact factor: 16.971

5.  The primordial metabolism: an ancestral interconnection between leucine, arginine, and lysine biosynthesis.

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Journal:  BMC Evol Biol       Date:  2007-08-16       Impact factor: 3.260

6.  Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages.

Authors:  Jason Li; Saman K Halgamuge; Christopher I Kells; Sen-Lin Tang
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

7.  yMGV: a cross-species expression data mining tool.

Authors:  Gaëlle Lelandais; Stéphane Le Crom; Frédéric Devaux; Stéphane Vialette; George M Church; Claude Jacq; Philippe Marc
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

8.  RTCGD: retroviral tagged cancer gene database.

Authors:  Keiko Akagi; Takeshi Suzuki; Robert M Stephens; Nancy A Jenkins; Neal G Copeland
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

9.  Phylogenetic analysis of proteins associated in the four major energy metabolism systems: photosynthesis, aerobic respiration, denitrification, and sulfur respiration.

Authors:  Takeshi Tomiki; Naruya Saitou
Journal:  J Mol Evol       Date:  2004-08       Impact factor: 2.395

10.  Identifying biological themes within lists of genes with EASE.

Authors:  Douglas A Hosack; Glynn Dennis; Brad T Sherman; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-09-11       Impact factor: 13.583

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