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, N, Pafilis E, Nikolaou S, Ouzounis CA, Iliopoulos I, Promponas VJ
JournalBioinformatics
Volume27
Issue23
Pages3327 - 3328
Abstract

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. © The Author 2011. Published by Oxford University Press. All rights reserved.

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