Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
Smyth, T., D. Moffat, G. Tarran, S. Sathyendranath, F. Ribalet, J. Casey (2023), Determining drivers of phytoplankton carbon to chlorophyll ratio at Atlantic Basin scale, Frontiers in Marine Science, doi: 10.3389/fmars.2023.
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A multi-lab collaboration that grew out of the January 2020 Bayesian Workshop finds using the Bayesian approach can yield more realistic biological models and better constrained cellular growth rates. Continue reading “Interpreting microbial growth rates from size distributions.”
Jann Paul Mattern, Kristof Glauninger, Gregory L. Britten, John R. Casey, Sangwon Hyun, Zhen Wu, E. Virginia Armbrust, Zaid Harchaoui, Francois Ribalet (2022), A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series, PLoS Computational Biology, doi: 10.1371/journal.pcbi.1009733
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Microbial simulations bridge the gap between the molecular and ecosystem scales.
A new CBIOMES paper presents, for the first time, an interpretation of observed, strain-level, basin-scale biogeography using genome-scale modeling of cellular metabolism, physiology, and fitness. Continue reading “A Systems Level Approach to Biogeography”
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CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com