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Exploring the Enzyme Neighbourhood to interpret gene expression data

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2008

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Gesellschaft für Informatik e. V.

Zusammenfassung

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.

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Goffard, Nicolas; Frickey, Tancred; Imin, Nijat; Weiller, Georg (2008): Exploring the Enzyme Neighbourhood to interpret gene expression data. German Conference on Bioinformatics. Bonn: Gesellschaft für Informatik e. V.. ISBN: 978-3-88579-226-0. pp. 21-29. Regular Research Papers. Dresden. 09.-12.09.2008

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