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Dissertation
Data-driven Inference of a TF-regulated Metabolic Network for photosynthetic organism modelling: Chlamydomonas Reinhardtii.
Authors: --- --- --- ---
Year: 2018 Publisher: Liège Université de Liège (ULiège)

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Abstract

Metabolic pathways involved in photosynthesis and biosynthesis of lipids, hydrogen or growth are typically regulated by complex interdependent mechanisms involving multiple fronts of omics (genomics, transcriptomics, proteomics, …). Here, we apply Constraint-Based Modelling (CBM) techniques on a genome-scale metabolic network reconstruction of C. reinhardtii, and improve the model by integrating constraints from a Transcriptional Regulation Network, thus taking into account cell gene expression shifts under envrionmental changes.

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