Overlap and diversity in antimicrobial peptide databases: compiling a non-redundant set of sequences | Zendy

Longendri AguileraMendoza | Zendy; Yovani MarreroPonce | Zendy; Roberto Tellez-Ibarra | Zendy; Monica T. Llorente-Quesada | Zendy; Jesús Salgado | Zendy; Stephen J. Barigye | Zendy; Jun Liu | Zendy

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Overlap and diversity in antimicrobial peptide databases: compiling a non-redundant set of sequences

Author(s) -

Longendri AguileraMendoza,

Yovani MarreroPonce,

Roberto Tellez-Ibarra,

Monica T. Llorente-Quesada,

Jesús Salgado,

Stephen J. Barigye,

Jun Liu

Publication year - 2015

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/btv180

Subject(s) - set (abstract data type) , diversity (politics) , antimicrobial , computer science , database , computational biology , information retrieval , biology , programming language , microbiology and biotechnology , political science , law

The large variety of antimicrobial peptide (AMP) databases developed to date are characterized by a substantial overlap of data and similarity of sequences. Our goals are to analyze the levels of redundancy for all available AMP databases and use this information to build a new non-redundant sequence database. For this purpose, a new software tool is introduced.

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