Biomedical text-mining have great promise to improve the usefulness of genomic researchers. The goal of text-mining is analyzed large collections of unstructured documents for the purposes of extracting interesting and non-trivial patterns of knowledge. The analysis of biomedical texts and available databases, such as Medline and PubMed, can help to interpret a phenomenon, to detect gene relations, or to establish comparisons among similar genes in different specific databases.
Source: Gálvez, Carmen and Moya-Anegón, Félix (2008) Text-mining research in genomics. In Guimaraes, Nuno and Isaías, Pedro, Eds. Proceedings IADIS International Conference Applied Computing 2008, pp. 277-283, Algarve (Portugal).
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