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GNAT library for local and remote gene mention normalization

Identifying mentions of named entities, such as genes or diseases, and normalizing them to database identifiers have become an important step in many text and data mining pipelines. Despite this need, very few entity normalization systems are publicly available as source code or web services for bio...

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Bibliographic Details
Published in:Bioinformatics 2011-10, Vol.27 (19), p.2769-2771
Main Authors: Hakenberg, Jörg, Gerner, Martin, Haeussler, Maximilian, Solt, Illés, Plake, Conrad, Schroeder, Michael, Gonzalez, Graciela, Nenadic, Goran, Bergman, Casey M
Format: Article
Language:English
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Summary:Identifying mentions of named entities, such as genes or diseases, and normalizing them to database identifiers have become an important step in many text and data mining pipelines. Despite this need, very few entity normalization systems are publicly available as source code or web services for biomedical text mining. Here we present the GNAT Java library for text retrieval, named entity recognition, and normalization of gene and protein mentions in biomedical text. The library can be used as a component to be integrated with other text-mining systems, as a framework to add user-specific extensions, and as an efficient stand-alone application for the identification of gene and protein names for data analysis. On the BioCreative III test data, the current version of GNAT achieves a Tap-20 score of 0.1987. AVAILABILITY: The library and web services are implemented in Java and the sources are available from http://gnat.sourceforge.net. CONTACT: jorg.hakenberg@roche.com
ISSN:1367-4803
1367-4811
1460-2059
DOI:10.1093/bioinformatics/btr455