Literature DB >> 9847135

KEGG: Kyoto Encyclopedia of Genes and Genomes.

H Ogata1, S Goto, K Sato, W Fujibuchi, H Bono, M Kanehisa.   

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/).

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Year:  1999        PMID: 9847135      PMCID: PMC148090          DOI: 10.1093/nar/27.1.29

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


  1800 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.  DIP: the database of interacting proteins.

Authors:  I Xenarios; D W Rice; L Salwinski; M K Baron; E M Marcotte; D Eisenberg
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction.

Authors:  R Overbeek; N Larsen; G D Pusch; M D'Souza; E Selkov; N Kyrpides; M Fonstein; N Maltsev; E Selkov
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

4.  A phylogenomic approach to microbial evolution.

Authors:  T Sicheritz-Pontén; S G Andersson
Journal:  Nucleic Acids Res       Date:  2001-01-15       Impact factor: 16.971

5.  Predicting regulons and their cis-regulatory motifs by comparative genomics.

Authors:  A Manson McGuire; G M Church
Journal:  Nucleic Acids Res       Date:  2000-11-15       Impact factor: 16.971

6.  Automatic detection of conserved gene clusters in multiple genomes by graph comparison and P-quasi grouping.

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

Review 7.  Metabolomics--the link between genotypes and phenotypes.

Authors:  Oliver Fiehn
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

8.  DIAN: a novel algorithm for genome ontological classification.

Authors:  Y Pouliot; J Gao; Q J Su; G G Liu; X B Ling
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

Review 9.  Network genomics--a novel approach for the analysis of biological systems in the post-genomic era.

Authors:  Christian V Forst
Journal:  Mol Biol Rep       Date:  2002-09       Impact factor: 2.316

10.  Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses.

Authors:  Lia X Harrington; Gregory P Way; Jennifer A Doherty; Casey S Greene
Journal:  Pac Symp Biocomput       Date:  2018
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