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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.
Afiliación
  • Zhang H; College of Computer and Control Engineering, Nankai University, Tianjin, China.
  • Yohe T; Department of Biological Sciences, Northern Illinois University, DeKalb, IL, USA.
  • Huang L; College of Computer and Control Engineering, Nankai University, Tianjin, China.
  • Entwistle S; Department of Biological Sciences, Northern Illinois University, DeKalb, IL, USA.
  • Wu P; College of Computer and Control Engineering, Nankai University, Tianjin, China.
  • Yang Z; College of Computer and Control Engineering, Nankai University, Tianjin, China.
  • Busk PK; Department of Science and Environment, Roskilde University, Roskilde, Denmark.
  • Xu Y; Department of Biochemistry and Molecular Biology, University of Georgia. Athens, GA, USA.
  • Yin Y; Department of Biological Sciences, Northern Illinois University, DeKalb, IL, USA.
Nucleic Acids Res ; 46(W1): W95-W101, 2018 07 02.
Article en En | MEDLINE | ID: mdl-29771380
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carbohidratos / Bases de Datos Genéticas / Metabolismo de los Hidratos de Carbono / Glicósido Hidrolasas Tipo de estudio: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carbohidratos / Bases de Datos Genéticas / Metabolismo de los Hidratos de Carbono / Glicósido Hidrolasas Tipo de estudio: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: China