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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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Publication type
Book: Monograph
Thesis type
Doctoral thesis
Language
english
Publication Year
2015
HGF-reported in Year
0
ISBN
9783737567756
Quellenangaben
Pages: 156 S.
Publisher
epubli GmbH
Publishing Place
Berlin
Day of Oral Examination
2015-04-21
Advisor
Theis, F.J. (Prof. Dr. Dr.)
Referee
Theis, F.J. (Prof. Dr. Dr.); Mewes, H.-W. (Prof. Dr.)
Examiner
Hrabé de Angelis, M. (Prof. Dr.)
University
Technische Universität
University place
München
Faculty
Fakultät Wissenschaftszentrum Weihenstephan
POF-Topic(s)
30205 - Bioengineering and Digital Health
30201 - Metabolic Health
30201 - Metabolic Health
Research field(s)
Enabling and Novel Technologies
Genetics and Epidemiology
Genetics and Epidemiology
PSP Element(s)
G-503800-001
G-500600-001
G-500600-001
DNB ID
1077132433
Erfassungsdatum
2015-10-07