Zobrazeno 1 - 10
of 55
pro vyhledávání: '"G. Egbert"'
Autor:
L. Carrere, B. K. Arbic, B. Dushaw, G. Egbert, S. Erofeeva, F. Lyard, R. D. Ray, C. Ubelmann, E. Zaron, Z. Zhao, J. F. Shriver, M. C. Buijsman, N. Picot
Publikováno v:
Ocean Science, Vol 17, Pp 147-180 (2021)
Altimeter measurements are corrected for several geophysical parameters in order to access ocean signals of interest, like mesoscale or sub-mesoscale variability. The ocean tide is one of the most critical corrections due to the amplitude of the tida
Externí odkaz:
https://doaj.org/article/f63066d997224c8d8b8223ee8f6fd56a
Autor:
Yasuhiro Oda, Joshua R. Elmore, William C. Nelson, Andrew Wilson, Yuliya Farris, Ritu Shrestha, Citlali Fonseca Garcia, Dean Pettinga, Aaron J. Ogden, Henri Baldino, William G. Alexander, Adam M Deutschbauer, Catalina Vega Hurtado, Jason E. McDermott, Adam M. Guss, Devin Coleman-Derr, Ryan McClure, Caroline S. Harwood, Robert G. Egbert
Metabolite exchange between plant roots and their associated rhizosphere microbiomes underpins plant growth promotion by microbes.Sorghum bicoloris a cereal crop that feeds animals and humans and is used for bioethanol production. Its root tips exude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bdaab75f2219dbed30a3d6e1f1351ae
https://doi.org/10.1101/2023.05.26.542311
https://doi.org/10.1101/2023.05.26.542311
Autor:
Joshua R. Elmore, Gara N. Dexter, Henri Baldino, Jay D. Huenemann, Ryan Francis, George L. Peabody, Jessica Martinez-Baird, Lauren A. Riley, Tuesday Simmons, Devin Coleman-Derr, Adam M. Guss, Robert G. Egbert
Publikováno v:
Science Advances. 9
Efficient genome engineering is critical to understand and use microbial functions. Despite recent development of tools such as CRISPR-Cas gene editing, efficient integration of exogenous DNA with well-characterized functions remains limited to model
Autor:
Christine H Chang, William C Nelson, Abby Jerger, Aaron T Wright, Robert G Egbert, Jason E McDermott
Publikováno v:
Bioinformatics Advances. 3
Motivation The vast expansion of sequence data generated from single organisms and microbiomes has precipitated the need for faster and more sensitive methods to assess evolutionary and functional relationships between proteins. Representing proteins
Autor:
Sankarganesh Krishnamoorthy, Andrea K. Steiger, William C. Nelson, Robert G. Egbert, Aaron T. Wright
Publikováno v:
Chemical communications (Cambridge, England). 58(58)
Development of profiling strategies to provide high resolution understanding of enzymes involved in bacterial infections remains an important need. These strategies help resolve enzyme mechanisms of actions and can guide therapeutic development. We h
Autor:
Hyun-Seob Song, Natalie C. Sadler, Christopher R. Anderton, Janet K. Jansson, Kirsten S. Hofmockel, Robert G. Egbert, Joon-Yong Lee
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1259-1269 (2020)
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1259-1269 (2020)
Graphical abstract
Microbial communities organize into spatial patterns that are largely governed by interspecies interactions. This phenomenon is an important metric for understanding community functional dynamics, yet the use of spatial patter
Microbial communities organize into spatial patterns that are largely governed by interspecies interactions. This phenomenon is an important metric for understanding community functional dynamics, yet the use of spatial patter
Autor:
Robert G. Egbert, Emaleigh Curl, Gary J. Vora, Tanya Tschirhart, Zachary Schultzhaus, Zheng Wang, Erin E. Kelly, Vrinda Shukla, Enoch Yeung, Jeffrey S. Erickson, Whitney L. Garcia, Erin NewRingeisen
Publikováno v:
ACS Synthetic Biology. 8:2069-2079
The fast-growing nonmodel marine bacterium Vibrio natriegens has recently garnered attention as a host for molecular biology and biotechnology applications. In order to further its capabilities as a synthetic biology chassis, we have characterized a
Autor:
Shara Balakrishnan, Enoch Yeung, Aqib Hasnain, Nibodh Boddupalli, Dennis M. Joshy, Robert G. Egbert
Publikováno v:
ACC
In this paper, we consider the problem of learning a predictive model for population cell growth dynamics as a function of the media conditions. We first introduce a generic data-driven framework for training operator-theoretic models to predict cell
Autor:
Adam M. Guss, Jay D. Huenemann, Riley L, Ryan M. Francis, Gara N. Dexter, Baldino H, Robert G. Egbert, Elmore
Sustainable enhancements to crop productivity and increased resilience to adverse conditions are critical for modern agriculture, and application of plant growth promoting rhizobacteria (PGPR) is a promising method to achieve these goals. However, ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fb9c6842138031f3b3b92f0d73cb1e7
https://doi.org/10.1101/2020.06.28.176339
https://doi.org/10.1101/2020.06.28.176339
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