Document Detail


Text-mining solutions for biomedical research: enabling integrative biology.
MedLine Citation:
PMID:  23150036     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Dietrich Rebholz-Schuhmann; Anika Oellrich; Robert Hoehndorf
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-14
Journal Detail:
Title:  Nature reviews. Genetics     Volume:  -     ISSN:  1471-0064     ISO Abbreviation:  Nat. Rev. Genet.     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-11-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100962779     Medline TA:  Nat Rev Genet     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
1] European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. [2] Institut für Computerlinguistik, Universität Zürich, Binzmühlestrasse 14, 8050 Zürich, Switzerland.
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