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Text-mining in molecular biology - defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents - has emerged as a hybrid discipline on the edges of the fields of information science, bioinformatics and computational linguistics. A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators.
The work of our group was supported by grants from the European Commission (ORIEL IST-2001-32688, TEMBLOR QLRT-2001-00015, Biosapiens LSHC-CT-2003-505265).
The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/7/224
Peer reviewed
Genes, Bioinformatics, Methods, Computational Biology, Information Storage and Retrieval, Proteins, Review, Documentation, Databases, Nucleic Acid, Databases, Protein, Molecular Biology, Software
Genes, Bioinformatics, Methods, Computational Biology, Information Storage and Retrieval, Proteins, Review, Documentation, Databases, Nucleic Acid, Databases, Protein, Molecular Biology, Software
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