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

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Poux S., Arighi C. N., Magrane M., Bateman A., Wei C., Lu Z., ...Daha Fazla

BIOINFORMATICS, cilt.33, sa.21, ss.3454-3460, 2017 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 33 Sayı: 21
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1093/bioinformatics/btx439
  • Dergi Adı: BIOINFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3454-3460
  • Hacettepe Üniversitesi Adresli: Hayır

Özet

Motivation: 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.