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.