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.
CITATION STYLE
Glenisson, P., Coessens, B., Van Vooren, S., Mathys, J., Moreau, Y., & De Moor, B. (2004). TXTGate: profiling gene groups with text-based information. Genome Biology, 5(6). https://doi.org/10.1186/gb-2004-5-6-r43
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