Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
Use to make post appear on home and research pages
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
Get the PDF [Requires login]
A warm welcome to Delaney Nolin and Rae Santora from USC, and Lexi Jones and Ari Krinos from MIT as they bring their skills and energy to the CBIOMES collaboration. Continue reading “CBIOMES Welcomes Four Graduate Students”
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
Growth rates are central to understanding microbial interactions and community dynamics. The Fuhrman Lab, which uses ‘omics data to seek a better understanding of microbial growth, interactions, and biogeographies has been evaluating a promising new approach to simultaneously determine the growth rates of many different kinds of microbes from the within-genome distributions of DNA extracted from in-situ (mixed) ocean populations. Continue reading “Using Metagenomics to Measure In-Situ Microbial Growth Rates”
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
Long, Andrew M., Shengwei Hou, J. Cesar Ignacio-Espinoza, Jed A. Fuhrman (2020), Benchmarking microbial growth rate predictions from metagenomes, ISME Journal, doi: 10.1038/s41396-020-00773-1
Get the PDF [Requires login]
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
Weili Wang, Jie Ren, Kujin Tang, Emily Dart, Julio Cesar Ignacio-Espinoza, Jed A. Fuhrman, Jonathan Braun, Fengzhu Sun, and Nathan A. Ahlgren (2020), A network-based integrated framework for predicting virus–prokaryote interactions, NAR Genomics and Bioinformatics, doi: 10.1093/nargab/lqaa044
Get the PDF [Requires login]