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dbCAN2: a meta server for automated carbohydrate-active enzyme annotation
Complex carbohydrates of plants are the main food sources of animals and microbes, and serve as promising renewable feedstock for biofuel and biomaterial production. Carbohydrate active enzymes (CAZymes) are the most important enzymes for complex carbohydrate metabolism. With an increasing number of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031026/ https://www.ncbi.nlm.nih.gov/pubmed/29771380 http://dx.doi.org/10.1093/nar/gky418 |
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author | Zhang, Han Yohe, Tanner Huang, Le Entwistle, Sarah Wu, Peizhi Yang, Zhenglu Busk, Peter K Xu, Ying Yin, Yanbin |
author_facet | Zhang, Han Yohe, Tanner Huang, Le Entwistle, Sarah Wu, Peizhi Yang, Zhenglu Busk, Peter K Xu, Ying Yin, Yanbin |
author_sort | Zhang, Han |
collection | PubMed |
description | Complex carbohydrates of plants are the main food sources of animals and microbes, and serve as promising renewable feedstock for biofuel and biomaterial production. Carbohydrate active enzymes (CAZymes) are the most important enzymes for complex carbohydrate metabolism. With an increasing number of plant and plant-associated microbial genomes and metagenomes being sequenced, there is an urgent need of automatic tools for genomic data mining of CAZymes. We developed the dbCAN web server in 2012 to provide a public service for automated CAZyme annotation for newly sequenced genomes. Here, dbCAN2 (http://cys.bios.niu.edu/dbCAN2) is presented as an updated meta server, which integrates three state-of-the-art tools for CAZome (all CAZymes of a genome) annotation: (i) HMMER search against the dbCAN HMM (hidden Markov model) database; (ii) DIAMOND search against the CAZy pre-annotated CAZyme sequence database and (iii) Hotpep search against the conserved CAZyme short peptide database. Combining the three outputs and removing CAZymes found by only one tool can significantly improve the CAZome annotation accuracy. In addition, dbCAN2 now also accepts nucleotide sequence submission, and offers the service to predict physically linked CAZyme gene clusters (CGCs), which will be a very useful online tool for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes. |
format | Online Article Text |
id | pubmed-6031026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60310262018-07-10 dbCAN2: a meta server for automated carbohydrate-active enzyme annotation Zhang, Han Yohe, Tanner Huang, Le Entwistle, Sarah Wu, Peizhi Yang, Zhenglu Busk, Peter K Xu, Ying Yin, Yanbin Nucleic Acids Res Web Server Issue Complex carbohydrates of plants are the main food sources of animals and microbes, and serve as promising renewable feedstock for biofuel and biomaterial production. Carbohydrate active enzymes (CAZymes) are the most important enzymes for complex carbohydrate metabolism. With an increasing number of plant and plant-associated microbial genomes and metagenomes being sequenced, there is an urgent need of automatic tools for genomic data mining of CAZymes. We developed the dbCAN web server in 2012 to provide a public service for automated CAZyme annotation for newly sequenced genomes. Here, dbCAN2 (http://cys.bios.niu.edu/dbCAN2) is presented as an updated meta server, which integrates three state-of-the-art tools for CAZome (all CAZymes of a genome) annotation: (i) HMMER search against the dbCAN HMM (hidden Markov model) database; (ii) DIAMOND search against the CAZy pre-annotated CAZyme sequence database and (iii) Hotpep search against the conserved CAZyme short peptide database. Combining the three outputs and removing CAZymes found by only one tool can significantly improve the CAZome annotation accuracy. In addition, dbCAN2 now also accepts nucleotide sequence submission, and offers the service to predict physically linked CAZyme gene clusters (CGCs), which will be a very useful online tool for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes. Oxford University Press 2018-07-02 2018-05-16 /pmc/articles/PMC6031026/ /pubmed/29771380 http://dx.doi.org/10.1093/nar/gky418 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 | Web Server Issue Zhang, Han Yohe, Tanner Huang, Le Entwistle, Sarah Wu, Peizhi Yang, Zhenglu Busk, Peter K Xu, Ying Yin, Yanbin dbCAN2: a meta server for automated carbohydrate-active enzyme annotation |
title | dbCAN2: a meta server for automated carbohydrate-active enzyme annotation |
title_full | dbCAN2: a meta server for automated carbohydrate-active enzyme annotation |
title_fullStr | dbCAN2: a meta server for automated carbohydrate-active enzyme annotation |
title_full_unstemmed | dbCAN2: a meta server for automated carbohydrate-active enzyme annotation |
title_short | dbCAN2: a meta server for automated carbohydrate-active enzyme annotation |
title_sort | dbcan2: a meta server for automated carbohydrate-active enzyme annotation |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031026/ https://www.ncbi.nlm.nih.gov/pubmed/29771380 http://dx.doi.org/10.1093/nar/gky418 |
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