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KEGG for taxonomy-based analysis of pathways and genomes
KEGG (https://www.kegg.jp) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health information. Each object (database entry) is identified by the KEGG identifier (kid), which generally takes the form of a prefix followed b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825424/ https://www.ncbi.nlm.nih.gov/pubmed/36300620 http://dx.doi.org/10.1093/nar/gkac963 |
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author | Kanehisa, Minoru Furumichi, Miho Sato, Yoko Kawashima, Masayuki Ishiguro-Watanabe, Mari |
author_facet | Kanehisa, Minoru Furumichi, Miho Sato, Yoko Kawashima, Masayuki Ishiguro-Watanabe, Mari |
author_sort | Kanehisa, Minoru |
collection | PubMed |
description | KEGG (https://www.kegg.jp) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health information. Each object (database entry) is identified by the KEGG identifier (kid), which generally takes the form of a prefix followed by a five-digit number, and can be retrieved by appending /entry/kid in the URL. The KEGG pathway map viewer, the Brite hierarchy viewer and the newly released KEGG genome browser can be launched by appending /pathway/kid, /brite/kid and /genome/kid, respectively, in the URL. Together with an improved annotation procedure for KO (KEGG Orthology) assignment, an increasing number of eukaryotic genomes have been included in KEGG for better representation of organisms in the taxonomic tree. Multiple taxonomy files are generated for classification of KEGG organisms and viruses, and the Brite hierarchy viewer is used for taxonomy mapping, a variant of Brite mapping in the new KEGG Mapper suite. The taxonomy mapping enables analysis of, for example, how functional links of genes in the pathway and physical links of genes on the chromosome are conserved among organism groups. |
format | Online Article Text |
id | pubmed-9825424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254242023-01-10 KEGG for taxonomy-based analysis of pathways and genomes Kanehisa, Minoru Furumichi, Miho Sato, Yoko Kawashima, Masayuki Ishiguro-Watanabe, Mari Nucleic Acids Res Database Issue KEGG (https://www.kegg.jp) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health information. Each object (database entry) is identified by the KEGG identifier (kid), which generally takes the form of a prefix followed by a five-digit number, and can be retrieved by appending /entry/kid in the URL. The KEGG pathway map viewer, the Brite hierarchy viewer and the newly released KEGG genome browser can be launched by appending /pathway/kid, /brite/kid and /genome/kid, respectively, in the URL. Together with an improved annotation procedure for KO (KEGG Orthology) assignment, an increasing number of eukaryotic genomes have been included in KEGG for better representation of organisms in the taxonomic tree. Multiple taxonomy files are generated for classification of KEGG organisms and viruses, and the Brite hierarchy viewer is used for taxonomy mapping, a variant of Brite mapping in the new KEGG Mapper suite. The taxonomy mapping enables analysis of, for example, how functional links of genes in the pathway and physical links of genes on the chromosome are conserved among organism groups. Oxford University Press 2022-10-27 /pmc/articles/PMC9825424/ /pubmed/36300620 http://dx.doi.org/10.1093/nar/gkac963 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 Furumichi, Miho Sato, Yoko Kawashima, Masayuki Ishiguro-Watanabe, Mari KEGG for taxonomy-based analysis of pathways and genomes |
title | KEGG for taxonomy-based analysis of pathways and genomes |
title_full | KEGG for taxonomy-based analysis of pathways and genomes |
title_fullStr | KEGG for taxonomy-based analysis of pathways and genomes |
title_full_unstemmed | KEGG for taxonomy-based analysis of pathways and genomes |
title_short | KEGG for taxonomy-based analysis of pathways and genomes |
title_sort | kegg for taxonomy-based analysis of pathways and genomes |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825424/ https://www.ncbi.nlm.nih.gov/pubmed/36300620 http://dx.doi.org/10.1093/nar/gkac963 |
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