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

TitleBioTextQuest: a web-based biomedical text mining suite for concept discovery.
Publication TypeJournal Article
Year of Publication2011
AuthorsPapanikolaou, Nikolas, Evangelos Pafilis, Stavros Nikolaou, Christos A. Ouzounis, Ioannis Iliopoulos, and V. J. Promponas
JournalBioinformatics (Oxford, England)
Volume27
Issue23
Pagination3327-8
Date Published2011 Dec 1
ISSN1367-4811
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.

DOI10.1093/bioinformatics/btr564
Alternate JournalBioinformatics


by Dr. Radut.