DbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. Issue Volume 46:Issue D1(2018) (9th October 2017)

• Record Type: Journal Article
• Authors: Huang, Le; Zhang, Han; Wu, Peizhi; Entwistle, Sarah; Li, Xueqiong; Yohe, Tanner; Yi, Haidong; Yang, Zhenglu; Yin, Yanbin
• Is Part Of: Nucleic acids research. Volume 46:Issue D1(2018)
• Page Start: D516
• Page End: D521
• Publication Date: 2017-10-09
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkx894
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: 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).