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Trends Biotechnol. 2006 Dec;24(12):571-9. Epub 2006 Oct 12.

Text mining and its potential applications in systems biology.

Author information

1
School of Computer Science, National Centre for Text Mining, The Manchester Interdisciplinary Biocentre, The University of Manchester, 131 Princess Street, Manchester M1 7ND, UK. sophia.ananiadou@manchester.ac.uk

Abstract

With biomedical literature increasing at a rate of several thousand papers per week, it is impossible to keep abreast of all developments; therefore, automated means to manage the information overload are required. Text mining techniques, which involve the processes of information retrieval, information extraction and data mining, provide a means of solving this. By adding meaning to text, these techniques produce a more structured analysis of textual knowledge than simple word searches, and can provide powerful tools for the production and analysis of systems biology models.

PMID:
17045684
DOI:
10.1016/j.tibtech.2006.10.002
[Indexed for MEDLINE]
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