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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.doi:10.1186/gb-2004-5-6-r43 pmid:15186494 pmcid:PMC463076 fatcat:iijxrcxvr5hffkpfnpwl4hbhvq