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Network-based analysis of genetic and nutritional effects on human metabolism.

Berlin: epubli GmbH, 2015, 156 S. (Zugl. München, Technische Universität, Fakultät Wissenschaftszentrum Weihenstephan, Diss., 2015)
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Metabolism is highly variable between individuals, even though the underlying key processes follow the same physicochemical laws and biological principles. Metabolic phenotypes are influenced by different genetic and environmental factors. In this work metabolite profiles were analyzed on different biological scales, ranging from population data over physiological challenging results to in vitro experiments. In a network-based approach, experimental data were combined with established biochemical pathway knowledge for an improved analysis of genetic and nutritional effects on human metabolism.
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Publication type Book: Monograph
Thesis type Doctoral thesis
ISBN 9783737567756
Quellenangaben Volume: , Issue: , Pages: 156 S. Article Number: , Supplement: ,
Publisher epubli GmbH
Publishing Place Berlin
University Technische Universität
University place München
Faculty Fakultät Wissenschaftszentrum Weihenstephan