Journal
GENOME BIOLOGY
Volume 10, Issue 3, Pages -Publisher
BMC
DOI: 10.1186/gb-2009-10-3-r27
Keywords
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Funding
- Research Council KUL: GOA AMBioRICS [GOA/08/011, CoE EF/05/007 SymBioSys]
- IWT: SBO-BioFrame
- TAD-BioScope-IT
- Belgian Federal Science Policy Office [IUAP P6/25]
- EU-RTD: FP6-NoE Biopattern
- FWO [IOK-B9725-G.0329.09]
- [ZKB8933/CREA/08/023/BOF]
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We present DISTILLER, a data integration framework for the inference of transcriptional module networks. Experimental validation of predicted targets for the well-studied fumarate nitrate reductase regulator showed the effectiveness of our approach in Escherichia coli. In addition, the condition dependency and modularity of the inferred transcriptional network was studied. Surprisingly, the level of regulatory complexity seemed lower than that which would be expected from RegulonDB, indicating that complex regulatory programs tend to decrease the degree of modularity.
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