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

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

Author Affiliations

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

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

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

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Genome Biology 2008, 9:R96  doi:10.1186/gb-2008-9-6-r96

Published: 12 June 2008

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.