Genome Biology

official impact factor 6.89

Open Access Software

TXTGate: profiling gene groups with text-based information

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

Author Affiliations

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

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

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Genome Biology 2004, 5:R43 doi:10.1186/gb-2004-5-6-r43

Published: 28 May 2004

Additional files

Additional data file 1:

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

Format: PDF Size: 24KB Download file

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Additional data file 2:

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

Format: PDF Size: 16KB Download file

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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

Format: PDF Size: 62KB Download file

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Open Data