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April 2022 CBIOMES e-meeting Francois Ribalet (UW)
NEW CBIOMES PUBLICATION
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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Reliability and accuracy of matrix population model in estimating phytoplankton cellular activity – Francois Ribalet (UW)
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Flexible Probabilistic Gating of Continuous Flow Cytometry Data – Timothy Coleman (USC – Bien)
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Plankton’s Place
According to CBIOMES researchers predator interactions chiefly determine where Prochlorococcus thrive – a finding that may help researchers hone predictions for where phytoplankton will migrate with climate change. Continue reading “Plankton’s Place”
2021 Annual Meeting microtalk: Advances in using flow cytometry to quantify picophytoplankton physical properties – Tim Smyth (PML)
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2021 Annual Meeting microtalk: Probabilistic Gating of Continuous Flow Cytometry Data without Environmental Covariates – Tim Coleman (USC)
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2020 Annual Meeting e-poster: Modeling Continuous Flow Cytometry Data With Environmental Covariates – Sangwon (Justin) Hyun (USC, Bien Group)
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2020 Annual Meeting e-poster: Patterns and Ecological Drivers of Phytoplankton Size Structure in the North Pacific Ocean from Continuous Flow Cytometry – Matthias Cape (UW)
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2020 Annual Meeting e-poster: A Bayesian Approach to Size-structured Matrix Population Model – Francois Ribalet (UW)
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