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New approach for understanding genome variations in KEGG

KEGG (Kyoto Encyclopedia of Genes and Genomes; https://www.kegg.jp/ or https://www.genome.jp/kegg/) is a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It is an integrated database consisting of three generic categories of systems informati...

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Autores principales: Kanehisa, Minoru, Sato, Yoko, Furumichi, Miho, Morishima, Kanae, Tanabe, Mao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324070/
https://www.ncbi.nlm.nih.gov/pubmed/30321428
http://dx.doi.org/10.1093/nar/gky962
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author Kanehisa, Minoru
Sato, Yoko
Furumichi, Miho
Morishima, Kanae
Tanabe, Mao
author_facet Kanehisa, Minoru
Sato, Yoko
Furumichi, Miho
Morishima, Kanae
Tanabe, Mao
author_sort Kanehisa, Minoru
collection PubMed
description KEGG (Kyoto Encyclopedia of Genes and Genomes; https://www.kegg.jp/ or https://www.genome.jp/kegg/) is a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It is an integrated database consisting of three generic categories of systems information, genomic information and chemical information, and an additional human-specific category of health information. KEGG pathway maps, BRITE hierarchies and KEGG modules have been developed as generic molecular networks with KEGG Orthology nodes of functional orthologs so that KEGG pathway mapping and other procedures can be applied to any cellular organism. Unfortunately, however, this generic approach was inadequate for knowledge representation in the health information category, where variations of human genomes, especially disease-related variations, had to be considered. Thus, we have introduced a new approach where human gene variants are explicitly incorporated into what we call ‘network variants’ in the recently released KEGG NETWORK database. This allows accumulation of knowledge about disease-related perturbed molecular networks caused not only by gene variants, but also by viruses and other pathogens, environmental factors and drugs. We expect that KEGG NETWORK will become another reference knowledge base for the basic understanding of disease mechanisms and practical use in clinical sequencing and drug development.
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spelling pubmed-63240702019-01-10 New approach for understanding genome variations in KEGG Kanehisa, Minoru Sato, Yoko Furumichi, Miho Morishima, Kanae Tanabe, Mao Nucleic Acids Res Database Issue KEGG (Kyoto Encyclopedia of Genes and Genomes; https://www.kegg.jp/ or https://www.genome.jp/kegg/) is a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It is an integrated database consisting of three generic categories of systems information, genomic information and chemical information, and an additional human-specific category of health information. KEGG pathway maps, BRITE hierarchies and KEGG modules have been developed as generic molecular networks with KEGG Orthology nodes of functional orthologs so that KEGG pathway mapping and other procedures can be applied to any cellular organism. Unfortunately, however, this generic approach was inadequate for knowledge representation in the health information category, where variations of human genomes, especially disease-related variations, had to be considered. Thus, we have introduced a new approach where human gene variants are explicitly incorporated into what we call ‘network variants’ in the recently released KEGG NETWORK database. This allows accumulation of knowledge about disease-related perturbed molecular networks caused not only by gene variants, but also by viruses and other pathogens, environmental factors and drugs. We expect that KEGG NETWORK will become another reference knowledge base for the basic understanding of disease mechanisms and practical use in clinical sequencing and drug development. Oxford University Press 2019-01-08 2018-10-13 /pmc/articles/PMC6324070/ /pubmed/30321428 http://dx.doi.org/10.1093/nar/gky962 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Kanehisa, Minoru
Sato, Yoko
Furumichi, Miho
Morishima, Kanae
Tanabe, Mao
New approach for understanding genome variations in KEGG
title New approach for understanding genome variations in KEGG
title_full New approach for understanding genome variations in KEGG
title_fullStr New approach for understanding genome variations in KEGG
title_full_unstemmed New approach for understanding genome variations in KEGG
title_short New approach for understanding genome variations in KEGG
title_sort new approach for understanding genome variations in kegg
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324070/
https://www.ncbi.nlm.nih.gov/pubmed/30321428
http://dx.doi.org/10.1093/nar/gky962
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