DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli.
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.
Lemmens
Karen
K
Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium. karen.lemmens@esat.kuleuven.be
De Bie
Tijl
T
Dhollander
Thomas
T
De Keersmaecker
Sigrid C
SC
Thijs
Inge M
IM
Schoofs
Geert
G
De Weerdt
Ami
A
De Moor
Bart
B
Vanderleyden
Jos
J
Collado-Vides
Julio
J
Engelen
Kristof
K
Marchal
Kathleen
K
D047369:Chromatin Immunoprecipitation; D019295:Computational Biology / Q000379:methods*; D004926:Escherichia coli / Q000235:genetics*; D015964:Gene Expression Regulation, Bacterial; D053263:Gene Regulatory Networks; D018085:Regulon / Q000235:genetics*; D012984:Software; D014157:Transcription Factors
D014157:Transcription Factors