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Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems

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Tag: Fuhrman

Posted on January 27, 2022February 3, 2022

Effects of phytoplankton, viral communities and El Niño warming on free-living and particle-associated marine prokaryotic community structure – Yi-chun Yeh (USC)

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Posted on January 27, 2022February 3, 2022

Potential influence of geochemical variates on comparisons between DARWIN phytoplankton abundance with 16s rRNA amplicon abundance – Yubin Raut (USC)

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Posted on July 15, 2021July 20, 2021

The Fuhrman Lab goes to Annual Meeting 2021

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Posted on June 21, 2021July 15, 2021

2021 Annual Meeting microtalk – DNA Tags + Metagenomes for Whole Community Analysis – Delaney Nolin (USC)

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Posted on June 20, 2021July 15, 2021

2021 Annual Meeting microtalk – Exploring differences in microbial community structure across the Gulf Stream front on a small spatial scale – Alexandre (Rae) Santora (USC)

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Posted on June 13, 2021July 14, 2021

2021 Annual Meeting microtalk: Progress & prospects for using universal primers in modelling work – Jesse McNichol (USC)

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Posted on June 8, 2021July 14, 2021

2021 Annual Meeting microtalk: Predicting maximal growth rates from genomes and metagenomes for prokaryotes and eukaryotes – Jake Weissman (USC Guest)

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Posted on June 8, 2021July 14, 2021

2021 Annual Meeting microtalk: A Metagenomic Survey of Prokaryote, Eukaryote and Virus Patterns in the Open Oceans, and Implications for Virus Infection Patterns – Shengwei Hou (USC)

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Posted on May 10, 2021

NEW CBIOMES PUBLICATION

Yi-Chun Yeh, Jesse C McNichol, David M Needham, Erin B Fichot, Jed A Fuhrman, Comprehensive single-PCR 16S and 18S rRNA community analysis validated with mock communities and denoising algorithms, Envir. Microbiol., doi: 10.1111/1462-2920.15553

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Posted on March 15, 2021November 17, 2021

NEW CBIOMES PUBLICATION

Weissman, Jake L, Shengwei Hou, Jed A Fuhrman (2021), Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns, PNAS, doi: 10.1073/pnas.2016810118

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