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
Get the PDF [Requires login]
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
Get the PDF [Requires login]
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”
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
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]
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
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