I am a computational systems biologist who uses mathematical modeling to understand the metabolic networks of cells. Currently, I am applying constraint-based modeling to the genome-scale metabolic network of Atlantic salmon as part of the DigiSal project. In my doctoral research, I developed scalable computational methods for model-based integration of genomics and metabolomics data and metabolic pathway analysis. Applying these methods to microbial systems, I gained insights into genetic variation in Mycobacterium tuberculosis and metabolite cross-feedings in a defined gut microbiota.
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Areas of work
- Systems biology
- Mathematical modeling
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Publikasjonar
O. Øyås, S. Borrell, A. Trauner, M. Zimmermann, J. Feldmann, T. Liphardt, S. Gagneux, J. Stelling, U. Sauer & M. Zampieri. "Model-based integration of genomics and metabolomics reveals SNP functionality in Mycobacterium tuberculosis. biorXiv (2019). https://doi.org/10.1101/555763
B. Yilmaz, P. Juillerat, O. Øyås, C. Ramon, F.D. Bravo, Y. Franc, N. Fournier, P. Michetti, C. Mueller, M. Geuking, V.E.H. Pittet, M.H. Maillard, G. Rogler, Swiss IBD Cohort Investigators, R. Wiest, J. Stelling & A.J. Macpherson. "Microbial network disturbances in relapsing refractory Crohn's disease". Nature Medicine 25 (2019). https://doi.org/10.1038/s41591-018-0308-z
O. Øyås & J. Stelling. "Genome-scale metabolic networks in time and space". Current Opinion in Systems Biology 8 (2018). https://doi.org/10.1016/j.coisb.2017.12.003
G. Røkke, E. Korvald, J. Pahr, O. Øyås & R. Lale. "BioBrick assembly standards and techniques and associated software tools". Methods in Molecular Biology 1116 (2014). https://doi.org/10.1007/978-1-62703-764-8_1