Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783385904550772736 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6324070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kanehisaminoru newapproachforunderstandinggenomevariationsinkegg AT satoyoko newapproachforunderstandinggenomevariationsinkegg AT furumichimiho newapproachforunderstandinggenomevariationsinkegg AT morishimakanae newapproachforunderstandinggenomevariationsinkegg AT tanabemao newapproachforunderstandinggenomevariationsinkegg |