Anni 2.0: a multipurpose text-mining tool for the life sciences

被引：88

作者：

Jelier, Rob ^{[1
]}

Schuemie, Martijn J. ^{[1
]}

Veldhoven, Antoine ^{[1
]}

Dorssers, Lambert C. J. ^{[2
]}

Jenster, Guido ^{[3
]}

Kors, Jan A. ^{[1
]}

机构：

[1] Erasmus MC Univ, Med Ctr, Dept Med Informat, NL-3015 GE Rotterdam, Netherlands

[2] Erasmus MC Univ, Med Ctr, Dept Pathol, NL-3015 GE Rotterdam, Netherlands

[3] Erasmus MC Univ, Med Ctr, Dept Urol, NL-3015 GE Rotterdam, Netherlands

来源：

GENOME BIOLOGY | 2008年 / 9卷 / 06期

关键词：

D O I：

10.1186/gb-2008-9-6-r96

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Anni 2.0 is an online tool (http://biosemantics.org/anni/) to aid the biomedical researcher with a broad range of information needs. Anni provides an ontology-based interface to MEDLINE and retrieves documents and associations for several classes of biomedical concepts, including genes, drugs and diseases, with established text-mining technology. In this article we illustrate Anni's usability by applying the tool to two use cases: interpretation of a set of differentially expressed genes, and literature-based knowledge discovery.

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