Jed A. Fuhrman
Affiliations: | 1981-1988 | Stony Brook University, Stony Brook, NY, United States | |
| 1988- | University of Southern California, Los Angeles, CA, United States |
Area:
Oceanography Biology, Microbiology BiologyWebsite:
https://dornsife.usc.edu/cf/faculty-and-staff/faculty.cfm?pid=1003269Google:
"Jed Fuhrman"Bio:
http://scilib.ucsd.edu/sio/directories/students.pdf
https://books.google.com/books?id=JrEvAQAAIAAJ
Parents
Sign in to add mentor| Kenneth Nealson | grad student | 1981 | UCSD | |
| Farooq Azam | grad student | 1976-1981 | UCSD | |
| (Patterns of bacterioplankton growth in the sea.) | ||||
Children
Sign in to add trainee| Lita M. Proctor | grad student | 1991 | SUNY Stony Brook |
| Ian Hewson | grad student | 2005 | USC |
| Michael S. Schwalbach | grad student | 2006 | USC |
| Joshua A. Steele | grad student | 2010 | USC |
| Cheryl-Emiliane T. Chow | grad student | 2012 | USC |
| Curtis A. Suttle | post-doc | USC (Evolution Tree) |
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Publications
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| Pascoal F, Tomasino MP, Piredda R, et al. (2023) Inter-comparison of marine microbiome sampling protocols. Isme Communications. 3: 84 |
| Dart E, Fuhrman JA, Ahlgren NA. (2023) Diverse Marine T4-like Cyanophage Communities Are Primarily Comprised of Low-Abundance Species Including Species with Distinct Seasonal, Persistent, Occasional, or Sporadic Dynamics. Viruses. 15 |
| Yeh YC, Fuhrman JA. (2022) Contrasting diversity patterns of prokaryotes and protists over time and depth at the San-Pedro Ocean Time series. Isme Communications. 2: 36 |
| Yeh YC, Fuhrman JA. (2022) Effects of phytoplankton, viral communities, and warming on free-living and particle-associated marine prokaryotic community structure. Nature Communications. 13: 7905 |
| Parada AE, Mayali X, Weber PK, et al. (2022) Constraining the composition and quantity of organic matter used by abundant marine Thaumarchaeota. Environmental Microbiology |
| Weissman JL, Peras M, Barnum TP, et al. (2022) Benchmarking Community-Wide Estimates of Growth Potential from Metagenomes Using Codon Usage Statistics. Msystems. 7: e0074522 |
| Milke F, Sanchez-Garcia S, Dlugosch L, et al. (2022) Composition and Biogeography of Planktonic Pro- and Eukaryotic Communities in the Atlantic Ocean: Primer Choice Matters. Frontiers in Microbiology. 13: 895875 |
| Tang T, Hou S, Fuhrman JA, et al. (2022) Phage-bacterial contig association prediction with a convolutional neural network. Bioinformatics (Oxford, England). 38: i45-i52 |
| Weissman JL, Hou S, Fuhrman JA. (2021) Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns. Proceedings of the National Academy of Sciences of the United States of America. 118 |
| Long AM, Hou S, Ignacio-Espinoza JC, et al. (2020) Benchmarking microbial growth rate predictions from metagenomes. The Isme Journal |