Goffard, NicolasFrickey, TancredImin, NijatWeiller, GeorgBeyer, AndreasSchroeder, Michael2019-04-032019-04-032008978-3-88579-226-0https://dl.gi.de/handle/20.500.12116/21218Post-genomic data analysis represents a new challenge to link and interpret the vast amount of raw data obtained with transcriptomic or proteomic techniques in the context of metabolic pathways. We propose a new strategy with the help of a metabolic network graph to extend PathExpress, a web-based tool to interpret gene expression data, without being restricted to predefined pathways. We defined the Enzyme Neighbourhood as groups of linked enzymes, corresponding to a sub-network, to explore the metabolic network in order to identify the most relevant sub-networks affected in gene expression experiments.enText/Conference Paper