Combines literature indices of selected public biological resources in a flexible text-mining system designed towards the analysis of groups of genes. TXTGate is a platform that offers multiple 'views' on vast amounts of genebased free-text information available in selected curated database entries and scientific publications. It enables detailed functional analysis of interesting gene groups by displaying key terms extracted from the associated literature and by offering options to link out to other resources or to sub-cluster the genes on the basis of text.
This research was supported by grants from the Research Council K.U. Leuven (GOA-Mefisto-666, GOA-Ambiorics, IDO), the Fonds voor Wetenschappelijk Onderzoek - Vlaanderen (G.0115.01, G.0240.99, G.0407.02, G.0413.03, G.0388.03, G.0229.03, G.0241.04), the Instituut voor de aanmoediging van Innovatie door Wetenschap en Technologie Vlaanderen (STWW-Genprom, GBOU-McKnow, GBOU-SQUAD, GBOU-ANA), the Belgian Federal Science Policy Office (IUAP V-22), and the European Union (FP5 CAGE, ERNSI, FP6 NoE Biopattern, NoE Etumours).