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

Rob Jelier1 email, Martijn J Schuemie1 email, Antoine Veldhoven1 email, Lambert CJ Dorssers2 email, Guido Jenster3 email and Jan A Kors1 email

1Department of Medical Informatics, Erasmus MC University Medical Center, Dr. Molewaterplein, Rotterdam, 3015 GE, The Netherlands

2Department of Pathology, Erasmus MC University Medical Center, Dr. Molewaterplein, Rotterdam, 3015 GE, The Netherlands

3Department of Urology, Erasmus MC University Medical Center, Dr. Molewaterplein, Rotterdam, 3015 GE, The Netherlands

author email corresponding author email

Genome Biology 2008, 9:R96doi:10.1186/gb-2008-9-6-r96

Published: 12 June 2008

Subject areas: Bioinformatics

Abstract

Anni 2.0 is an online tool (http://biosemantics.org/anni/ webcite) 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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