Sipros Ensemble improves database searching and filtering for complex metaproteomics | Zendy

Xuan Guo | Zendy; Zhou Li | Zendy; Qiuming Yao | Zendy; Ryan Mueller | Zendy; Jimmy K. Eng | Zendy; David L. Tabb | Zendy; William Judson Hervey | Zendy; Chongle Pan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Sipros Ensemble improves database searching and filtering for complex metaproteomics

Author(s) -

Xuan Guo,

Zhou Li,

Qiuming Yao,

Ryan Mueller,

Jimmy K. Eng,

David L. Tabb,

William Judson Hervey,

Chongle Pan

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx601

Subject(s) - metaproteomics , computer science , comet , metagenomics , data mining , identification (biology) , scalability , database search engine , database , search engine , information retrieval , biology , biochemistry , gene , botany , astrobiology

Complex microbial communities can be characterized by metagenomics and metaproteomics. However, metagenome assemblies often generate enormous, and yet incomplete, protein databases, which undermines the identification of peptides and proteins in metaproteomics. This challenge calls for increased discrimination of true identifications from false identifications by database searching and filtering algorithms in metaproteomics.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research