Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jamie R. Nunez"'
Autor:
Christopher R. Anderton, Jennifer M. Mobberley, Jessica K. Cole, Jamie R. Nunez, Robert Starke, Amy A. Boaro, Yasemin Yesiltepe, Beau R. Morton, Alexandra B. Cory, Hayley C. Cardamone, Kirsten S. Hofmockel, Mary S. Lipton, James J. Moran, Ryan S. Renslow, James K. Fredrickson, Stephen R. Lindemann
Publikováno v:
mSystems, Vol 5, Iss 3 (2020)
ABSTRACT Increasing anthropogenic inputs of fixed nitrogen are leading to greater eutrophication of aquatic environments, but it is unclear how this impacts the flux and fate of carbon in lacustrine and riverine systems. Here, we present evidence tha
Externí odkaz:
https://doaj.org/article/50fdde27fc0b4e389324c2f67088d0d9
Autor:
Sean M. Colby, Christine H. Chang, Jessica L. Bade, Jamie R. Nunez, Madison R. Blumer, Daniel J. Orton, Kent J. Bloodsworth, Ernesto S. Nakayasu, Richard D. Smith, Yehia M. Ibrahim, Ryan S. Renslow, Thomas O. Metz
Publikováno v:
Analytical chemistry. 94(16)
We present DEIMoS: Data Extraction for Integrated Multidimensional Spectrometry, a Python application programming interface (API) and command-line tool for high-dimensional mass spectrometry data analysis workflows that offers ease of development and
Autor:
Yasemin Yesiltepe, Jamie R. Nuñez, Sean M. Colby, Dennis G. Thomas, Mark I. Borkum, Patrick N. Reardon, Nancy M. Washton, Thomas O. Metz, Justin G. Teeguarden, Niranjan Govind, Ryan S. Renslow
Publikováno v:
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-16 (2018)
Abstract When using nuclear magnetic resonance (NMR) to assist in chemical identification in complex samples, researchers commonly rely on databases for chemical shift spectra. However, authentic standards are typically depended upon to build librari
Externí odkaz:
https://doaj.org/article/75692281a36543aca5bac59c7ba0c124
Autor:
Ryan S. Renslow, Bulbul Ahmed, Jamie R. Nuñez, Bin Cao, Paul D. Majors, Jim K. Fredrickson, Haluk Beyenal
Publikováno v:
Frontiers in Environmental Science, Vol 5 (2017)
In this study, we developed a two-dimensional mathematical model to predict substrate utilization and metabolite production rates in Shewanella oneidensis MR-1 biofilm in the presence and absence of uranium (U). In our model, lactate and fumarate are
Externí odkaz:
https://doaj.org/article/363ae41c33d24a5caf3a8690c484a78f