Checking Consistency Between Expression Data and Large Scale Regulatory Networks: A Case Study

Carito Guziolowski 1, * Philippe Veber 1 Michel Le Borgne 1 Ovidiu Radulescu 1, 2 Anne Siegel 1
* Auteur correspondant
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We proposed in previous articles a qualitative approach to check the compatibility between a model of interactions and gene expression data. The purpose of the present work is to validate this methodology on a real-size setting. We study the response of E.coli regulatory network to nutritional stress, and compare it to publicly available DNA microarray experiments. We show how the incompatibilities we found reveal missing interactions in the network, as well as observations in contradiction with available literature.
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Journal of Biological Physics and Chemistry, Basel, Switzerland : Collegium Basilea (Institute of Advanced Study) ; Tbilisi : Association of Modern Scientific Investigation (AMSI), 2007, 7, pp.37-43
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Carito Guziolowski, Philippe Veber, Michel Le Borgne, Ovidiu Radulescu, Anne Siegel. Checking Consistency Between Expression Data and Large Scale Regulatory Networks: A Case Study. Journal of Biological Physics and Chemistry, Basel, Switzerland : Collegium Basilea (Institute of Advanced Study) ; Tbilisi : Association of Modern Scientific Investigation (AMSI), 2007, 7, pp.37-43. 〈inria-00178914〉

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