On expert curation and scalability: UniProtKB/Swiss-Prot as a case study | Zendy

Sylvain Poux | Zendy; Cecilia Arighi | Zendy; Michele Magrane | Zendy; Alex Bateman | Zendy; Chih-Hsuan Wei | Zendy; Zhiyong Lu | Zendy; Emmanuel Boutet | Zendy; Hema ByeAJee | Zendy; Maria Livia Famiglietti | Zendy; Bernd Roechert | Zendy; The UniProt Consortium | Zendy

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On expert curation and scalability: UniProtKB/Swiss-Prot as a case study

Author(s) -

Sylvain Poux,

Cecilia Arighi,

Michele Magrane,

Alex Bateman,

Chih-Hsuan Wei,

Zhiyong Lu,

Emmanuel Boutet,

Hema ByeAJee,

Maria Livia Famiglietti,

Bernd Roechert,

The UniProt Consortium

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/btx439

Subject(s) - uniprot , computer science , data curation , scope (computer science) , world wide web , data science , biology , biochemistry , gene , programming language

Biological knowledgebases, such as UniProtKB/Swiss-Prot, constitute an essential component of daily scientific research by offering distilled, summarized and computable knowledge extracted from the literature by expert curators. While knowledgebases play an increasingly important role in the scientific community, their ability to keep up with the growth of biomedical literature is under scrutiny. Using UniProtKB/Swiss-Prot as a case study, we address this concern via multiple literature triage approaches.

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