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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)
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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Publikationstyp
Buch: Monographie
Typ der Hochschulschrift
Dissertationsschrift
ISBN
9783737567756
Quellenangaben
Seiten: 156 S.
Verlag
epubli GmbH
Verlagsort
Berlin
Hochschule
Technische Universität
Hochschulort
München
Fakultät
Fakultät Wissenschaftszentrum Weihenstephan
Nichtpatentliteratur
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