TXTGate: profiling gene groups with text-based information

Patrick Glenisson¹, Bert Coessens¹ , Steven Van Vooren¹, Janick Mathys¹, Yves Moreau¹^,2 and Bart De Moor¹

¹Departement Elektrotechniek (ESAT), Faculteit Toegepaste Wetenschappen, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Heverlee (Leuven), Belgium

²Current address: Center for Biological Sequence Analysis, BioCentrum, Danish Technical University, Kemitorvet, DK-2800 Lyngby, Denmark

author email corresponding author email

Genome Biology 2004, 5:R43doi:10.1186/gb-2004-5-6-r43


Published:	28 May 2004

Subject areas: Bioinformatics, Methods

Additional files

Additional data file 1:

The MEDLINE-based text profiles of yeast expression clusters from Eisen et al. [39]

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Additional data file 2:

The MEDLINE-based profiles for the data in Chaussabel and Sher [6]

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Additional data file 3:

Details on the colon and colorectal cancer test case

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Additional data file 4:

The expert summary and textual profiles of the 350 upregulated mouse genes for different domain vocabularies

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