Genome Biology

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Inferring transcriptional modules from ChIP-chip, motif and microarray data

Karen Lemmens1, Thomas Dhollander1, Tijl De Bie2, Pieter Monsieurs1, Kristof Engelen1, Bart Smets3, Joris Winderickx3, Bart De Moor1 and Kathleen Marchal1,4*

Author Affiliations

1 BIOI@SCD, Department of Electrical Engineering, KU Leuven, Kasteelpark Arenberg, B-3001 Heverlee, Belgium

2 Research Group on Quantitative Psychology, Department of Psychology, KU Leuven, Tiensestraat, B-3000 Leuven, Belgium

3 Molecular Physiology of Plants and Micro-organisms Section, Biology Department, KU Leuven, Kasteelpark Arenberg, B-3001 Heverlee, Belgium

4 CMPG, Department of Microbial and Molecular Systems, KU Leuven, Kasteelpark Arenberg, B-3001 Heverlee, Belgium

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Genome Biology 2006, 7:R37 doi:10.1186/gb-2006-7-5-r37

Published: 5 May 2006

Additional files

Additional File 1:

The seed modules for the Spellman [12] dataset

Format: TXT Size: 3KB Download file

Open Data

Additional File 2:

The seed modules for the Gasch [13] dataset

Format: TXT Size: 14KB Download file

Open Data

Additional File 3:

Graphical overview of the seed modules identified in the Gasch [13] dataset

Format: PS Size: 272KB Download file

Open Data

Additional File 4:

The extended modules identified in the Spellman [12] dataset

Format: TXT Size: 20KB Download file

Open Data

Additional File 5:

The extended modules identified in the Gasch [13] dataset

Format: TXT Size: 94KB Download file

Open Data

Additional File 6:

Stand-alone version of ReMoDiscovery and a corresponding ReMoDiscovery help file

Format: ZIP Size: 1.5MB Download file

Open Data