Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
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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.”
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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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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”
by Helen Hill for CBIOMES
A warm welcome to incoming web specialist Walker Malling, a new member of the UW CBIOMES Group working.
Continue reading “CBIOMES Welcomes Walker Malling”
by Helen Hill for CBIOMES
A warm welcome to incoming data engineer Diana Haring, a new member of the UW CBIOMES Group.
Continue reading “CBIOMES Welcomes Diana Haring”
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
Mohammad D. Ashkezari, Norland R. Hagen, Michael Denholtz, Andrew Neang, Tansy C. Burns, Rhonda L. Morales, Charlotte P. Lee, Christopher N. Hill and Virginia Armbrust (2021), Simons Collaborative Marine Atlas Project (Simons CMAP): an open-source portal to share, visualize and analyze ocean data, Limnology and Oceanography: Methods, doi: 10.1002/lom3.10439
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