TY - GEN
T1 - Exploring the Enzyme Neighbourhood to interpret gene expression data
AU - Goffard, Nicolas
AU - Frickey, Tancred
AU - Imin, Nijat
AU - Weiller, Georg
PY - 2008
Y1 - 2008
N2 - Post-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.
AB - Post-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.
UR - http://www.scopus.com/inward/record.url?scp=84871225561&partnerID=8YFLogxK
M3 - Conference Paper
AN - SCOPUS:84871225561
SN - 9783885792260
T3 - Proceedings of the German Conference on Bioinformatics, GCB 2008
SP - 21
EP - 29
BT - Proceedings of the German Conference on Bioinformatics, GCB 2008
T2 - German Conference on Bioinformatics, GCB 2008
Y2 - 9 September 2008 through 12 September 2008
ER -