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Nat Rev Genet. 2012 Dec;13(12):829-39. doi: 10.1038/nrg3337. Epub 2012 Nov 14.

Text-mining solutions for biomedical research: enabling integrative biology.

Author information

1
European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. rebholz@ebi.ac.uk

Abstract

In response to the unbridled growth of information in literature and biomedical databases, researchers require efficient means of handling and extracting information. As well as providing background information for research, scientific publications can be processed to transform textual information into database content or complex networks and can be integrated with existing knowledge resources to suggest novel hypotheses. Information extraction and text data analysis can be particularly relevant and helpful in genetics and biomedical research, in which up-to-date information about complex processes involving genes, proteins and phenotypes is crucial. Here we explore the latest advancements in automated literature analysis and its contribution to innovative research approaches.

PMID:
23150036
DOI:
10.1038/nrg3337
[Indexed for MEDLINE]

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