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Bioinformatics. 2011 Dec 1;27(23):3327-8. doi: 10.1093/bioinformatics/btr564. Epub 2011 Oct 12.

BioTextQuest: a web-based biomedical text mining suite for concept discovery.

Author information

1
Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, CY 1678, Nicosia, Cyprus, Greece.

Abstract

SUMMARY:

BioTextQuest combines automated discovery of significant terms in article clusters with structured knowledge annotation, via Named Entity Recognition services, offering interactive user-friendly visualization. A tag-cloud-based illustration of terms labeling each document cluster are semantically annotated according to the biological entity, and a list of document titles enable users to simultaneously compare terms and documents of each cluster, facilitating concept association and hypothesis generation. BioTextQuest allows customization of analysis parameters, e.g. clustering/stemming algorithms, exclusion of documents/significant terms, to better match the biological question addressed.

AVAILABILITY:

http://biotextquest.biol.ucy.ac.cy

CONTACT:

vprobon@ucy.ac.cy; iliopj@med.uoc.gr

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
21994227
DOI:
10.1093/bioinformatics/btr564
[Indexed for MEDLINE]

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