I am a computational systems biologist who uses mathematical modeling to understand the metabolic networks of cells. Currently, I am studying the metabolism of Atlantic salmon and its gut microbiota as part of the DigiSal and SALMINT projects. I have also analyzed diverse omics data for the Foods of Norway Centre for Research-based Innovation. Previously, I have developed scalable computational methods for model-based integration of omics data and metabolic pathway analysis.
- Systems biology
- Mathematical modeling
Liste med publikasjoner fra min forskning. (Cristin)
*Shared first author.
H. Molversmyr, O. Øyås*, F. Rotnes & J. O. Vik. "Extracting functionally accurate context-specific models of Atlantic salmon metabolism". npj Systems Biology and Applications (2023). https://doi.org/10.1038/s41540-023-00280-x
J. O. Agboola, D. D. Mensah, J. Hansen, S. D. Rocha, O. Øyås, D. Lapeña, L. T. Mydland, M. Arntzen, S. J. Horn & M. Øverland. “Effect of yeast species and processing on intestinal microbiota of Atlantic salmon (Salmo salar) fed soybean meal-based diets in seawater”. Animal Microbiome (2023). https://doi.org/10.1186/s42523-023-00242-y
M. Zakhartsev, F. Rotnes, M. Gulla, O. Øyås*, J. van Dam, M. S. Diez, F. Grammes, R. A. Hafþórsson, W. van Helvoirt, J. Koehorst, P. Schaap, Y. Jin, L. T. Mydland, A. B. Gjuvsland, S. R. Sandve, V. M. dos Santos & J. O. Vik. "SALARECON connects the Atlantic salmon genome to growth and feed efficiency". PLOS Computational Biology 18.6 (2022). https://doi.org/10.1371/journal.pcbi.1010194
J. O. Agboola, D. D. Mensah, J. Ø. Hansen, D. Lapeña, L. T. Mydland, M. Ø. Arntzen, S. J. Horn, O. Øyås, C. McLean Press & M. Øverland. "Effects of Yeast Species and Processing on Intestinal Health and Transcriptomic Profiles of Atlantic Salmon (Salmo salar) Fed Soybean Meal-Based Diets in Seawater". International Journal of Molecular Sciences (2022). https://doi.org/10.3390/ijms23031675
P. Weththasinghe, S. D. Rocha, O. Øyås, L. Lagos, J. Ø. Hansen, L. T. Mydland & M. Øverland. "Modulation of Atlantic salmon (Salmo salar) gut microbiota composition and predicted metabolic capacity by feeding diets with processed black soldier fly (Hermetia illucens) larvae meals and fractions". Animal Microbiome (2022). https://doi.org/10.1186/s42523-021-00161-w
B. Morales-Lange, J. O. Agboola, J. Ø. Hansen, L. Lagos, O. Øyås, L. Mercado, L. T. Mydland & M. Øverland. "The Spleen as a Target to Characterize Immunomodulatory Effects of Down-Stream Processed Cyberlindnera jadinii Yeasts in Atlantic Salmon Exposed to a Dietary Soybean Meal Challenge". Frontiers in Immunology (2021). https://doi.org/10.3389/fimmu.2021.708747
O. Øyås & J. Stelling. "Scalable metabolic pathway analysis". biorXiv (2020). https://doi.org/10.1101/2020.07.31.230177
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". Proceedings of the National Academy of Sciences 117.15 (2020). https://doi.org/10.1073/pnas.1915551117
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 25.2 (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
STAT200 Regression analysis (2021 and 2022).
Forskningsprosjekter med nettside utenfor NMBU