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dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation
Carbohydrate-active enzyme (CAZymes) are not only the most important enzymes for bioenergy and agricultural industries, but also very important for human health, in that human gut microbiota encode hundreds of CAZyme genes in their genomes for degrading various dietary and host carbohydrates. We hav...
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/PMC5753378/ https://www.ncbi.nlm.nih.gov/pubmed/30053267 http://dx.doi.org/10.1093/nar/gkx894 |
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author | Huang, Le Zhang, Han Wu, Peizhi Entwistle, Sarah Li, Xueqiong Yohe, Tanner Yi, Haidong Yang, Zhenglu Yin, Yanbin |
author_facet | Huang, Le Zhang, Han Wu, Peizhi Entwistle, Sarah Li, Xueqiong Yohe, Tanner Yi, Haidong Yang, Zhenglu Yin, Yanbin |
author_sort | Huang, Le |
collection | PubMed |
description | Carbohydrate-active enzyme (CAZymes) are not only the most important enzymes for bioenergy and agricultural industries, but also very important for human health, in that human gut microbiota encode hundreds of CAZyme genes in their genomes for degrading various dietary and host carbohydrates. We have built an online database dbCAN-seq (http://cys.bios.niu.edu/dbCAN_seq) to provide pre-computed CAZyme sequence and annotation data for 5,349 bacterial genomes. Compared to the other CAZyme resources, dbCAN-seq has the following new features: (i) a convenient download page to allow batch download of all the sequence and annotation data; (ii) an annotation page for every CAZyme to provide the most comprehensive annotation data; (iii) a metadata page to organize the bacterial genomes according to species metadata such as disease, habitat, oxygen requirement, temperature, metabolism; (iv) a very fast tool to identify physically linked CAZyme gene clusters (CGCs) and (v) a powerful search function to allow fast and efficient data query. With these unique utilities, dbCAN-seq will become a valuable web resource for CAZyme research, with a focus complementary to dbCAN (automated CAZyme annotation server) and CAZy (CAZyme family classification and reference database). |
format | Online Article Text |
id | pubmed-5753378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57533782018-01-05 dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation Huang, Le Zhang, Han Wu, Peizhi Entwistle, Sarah Li, Xueqiong Yohe, Tanner Yi, Haidong Yang, Zhenglu Yin, Yanbin Nucleic Acids Res Database Issue Carbohydrate-active enzyme (CAZymes) are not only the most important enzymes for bioenergy and agricultural industries, but also very important for human health, in that human gut microbiota encode hundreds of CAZyme genes in their genomes for degrading various dietary and host carbohydrates. We have built an online database dbCAN-seq (http://cys.bios.niu.edu/dbCAN_seq) to provide pre-computed CAZyme sequence and annotation data for 5,349 bacterial genomes. Compared to the other CAZyme resources, dbCAN-seq has the following new features: (i) a convenient download page to allow batch download of all the sequence and annotation data; (ii) an annotation page for every CAZyme to provide the most comprehensive annotation data; (iii) a metadata page to organize the bacterial genomes according to species metadata such as disease, habitat, oxygen requirement, temperature, metabolism; (iv) a very fast tool to identify physically linked CAZyme gene clusters (CGCs) and (v) a powerful search function to allow fast and efficient data query. With these unique utilities, dbCAN-seq will become a valuable web resource for CAZyme research, with a focus complementary to dbCAN (automated CAZyme annotation server) and CAZy (CAZyme family classification and reference database). Oxford University Press 2018-01-04 2017-10-09 /pmc/articles/PMC5753378/ /pubmed/30053267 http://dx.doi.org/10.1093/nar/gkx894 Text en © The Author(s) 2017. 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 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 Huang, Le Zhang, Han Wu, Peizhi Entwistle, Sarah Li, Xueqiong Yohe, Tanner Yi, Haidong Yang, Zhenglu Yin, Yanbin dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation |
title | dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation |
title_full | dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation |
title_fullStr | dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation |
title_full_unstemmed | dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation |
title_short | dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation |
title_sort | dbcan-seq: a database of carbohydrate-active enzyme (cazyme) sequence and annotation |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753378/ https://www.ncbi.nlm.nih.gov/pubmed/30053267 http://dx.doi.org/10.1093/nar/gkx894 |
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