TXTGate: profiling gene groups with text-based information

P. Glenisson, B. Coessens, S. Van Vooren, J. Mathys, Yves Moreau, B. De Moor

    Research output: Contribution to journalJournal articleResearchpeer-review


    We implemented a framework called TXTGate that combines literature indices of selected public biological resources in a flexible text-mining system designed towards the analysis of groups of genes. By means of tailored vocabularies, term-as well as gene-centric views are offered on selected textual fields and MEDLINE abstracts used in LocusLink and the Saccharomyces Genome Database. Subclustering and links to external resources allow for in-depth analysis of the resulting term profiles.
    Original languageEnglish
    JournalGenome Biology (Online Edition)
    Pages (from-to)R43
    Publication statusPublished - 2004

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