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

被引:430
作者
Jensen, LJ [1 ]
Saric, J
Bork, P
机构
[1] European Mol Biol Lab, D-69117 Heidelberg, Germany
[2] EML Res gGmbH, D-69118 Heidelberg, Germany
[3] Max Delbruck Ctr Mol Med, D-13092 Berlin, Germany
关键词
D O I
10.1038/nrg1768
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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 system-wide 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.
引用
收藏
页码:119 / 129
页数:11
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