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Literature mining for the biologist: from information retrieval to biological discovery

Official URL:https://doi.org/10.1038/nrg1768
PubMed:View item in PubMed
Creators Name:Jensen, L.J. and Saric, J. and Bork, P.
Journal Title:Nature Reviews Genetics
Journal Abbreviation:Nat Rev Genet
Volume:7
Number:2
Page Range:119-129
Date:February 2006
Keywords:Computational Biology, Databases as Topic, Information Storage and Retrieval, Periodicals as Topic
Abstract:For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of systemwide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.
ISSN:1471-0056
Publisher:Nature Publishing Group (U.S.A.)
Item Type:Review

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