Text mining for biology--the way forward: opinions from leading scientists

Research output: Contribution to journalJournal articlepeer-review

  • Russ B Altman
  • Casey M Bergman
  • Judith Blake
  • Christian Blaschke
  • Aaron Cohen
  • Frank Gannon
  • Les Grivell
  • Udo Hahn
  • William Hersh
  • Lynette Hirschman
  • Jensen, Lars Juhl
  • Martin Krallinger
  • Barend Mons
  • Seán I O'Donoghue
  • Manuel C Peitsch
  • Dietrich Rebholz-Schuhmann
  • Hagit Shatkay
  • Alfonso Valencia
This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress.
Original languageEnglish
JournalGenome Biology (Online Edition)
Volume9 Suppl 2
Pages (from-to)S7
Publication statusPublished - 2008

    Research areas

  • Computational Biology, Expert Testimony, Publishing

ID: 40740016