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dc.contributor.advisorAlmaas, Eivind
dc.contributor.advisorSulheim, Snorre
dc.contributor.authorNyhamar, Kristen
dc.date.accessioned2023-10-10T17:20:51Z
dc.date.available2023-10-10T17:20:51Z
dc.date.issued2023
dc.identifierno.ntnu:inspera:138733117:4801949
dc.identifier.urihttps://hdl.handle.net/11250/3095617
dc.descriptionFull text not available
dc.description.abstractGenom-skala metabolisk modellering har nylig blitt et sentralt verktøy innen bioteknologi. I denne masteroppgaven er målet å bruke rammeverket sMOMENT til å kombinere omics-data med en genom-skala metabolisk rekonstruksjon av en menneskelig stamcelle for å analysere metabolske kapabiliteter.
dc.description.abstractGenome-scale metabolic modeling has recently become a central approach in the computational engineering of a wide range of organisms. In this thesis project, the aim is to use the constraint-based framework of the sMOMENT approach to combine high-throughput omics data with a genome-scale metabolic reconstruction of a human stem cell to analyze metabolic capabilities.
dc.languageeng
dc.publisherNTNU
dc.titleGenome-Scale Modeling of Embryonic Stem Cells
dc.typeMaster thesis


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