Anni 2.0: a multipurpose text-mining tool for the life sciences |
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Authors: | Rob Jelier Martijn J Schuemie Antoine Veldhoven Lambert CJ Dorssers Guido Jenster Jan A Kors |
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Affiliation: | (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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Abstract: | Anni 2.0 is an online tool () 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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