U.S. Department of EnergyOffice of Scientific and Technical Information
2020 Multiscale Microbial Dynamics Modeling Course
Abstract
The 2020 Multiscale Microbial Dynamics course is adapted from the virtual 2020 Mutliscale Microbial Dynamics Summer School that was hosted by Environmental Molecular Sciences Laboratory (EMSL), a U.S. Department of Energy (DOE) science user facility located on the Pacific Northwest National Laboratory (PNNL) campus, in collaboration with the Joint Genome Institute (JGI) and the DOE Systems Biology Knowledgebase (KBase). The course course covers how to incorporate microbial metagenomic and environmental metabolite data from watershed ecosystems into metabolic and community modeling using computational frameworks, such as KBase and PFLOTRAN. The curriculum includes lectures and software and data analysis tutorials. All materials are freely accessible to the community as part of the 2020 Microbial Dynamics Summer School Organization in KBase.
- Authors:
-
;
;
;
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); KBase
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231; AC05-76RL01830; AC02-05CH11231
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); DOE Systems Biology Knowledgebase (KBase); Environmental Molecular Sciences Laboratory (EMSL), Richland, WA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Joint Genome Institute (JGI), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
- Collaborations:
- Worldwide Hydrobiogeochemical Observation Network for Dynamic River Systems (WHONDRS); DOE Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE); Subsurface Biogeochemical Research (SBR)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 96 KNOWLEDGE MANAGEMENT AND PRESERVATION; data analysis; data science; metabolic modeling; metabolomic; metagenomic; microbial community; reactive transport model; watershed ecosystem
- OSTI Identifier:
- 1722943
- DOI:
- https://doi.org/10.25982/1722943
Citation Formats
Dow, Ellen G, Wood-Charlson, Elisha M, Hess, Nancy, and Scheibe, Timothy. 2020 Multiscale Microbial Dynamics Modeling Course. United States: N. p., 2020.
Web. doi:10.25982/1722943.
Dow, Ellen G, Wood-Charlson, Elisha M, Hess, Nancy, & Scheibe, Timothy. 2020 Multiscale Microbial Dynamics Modeling Course. United States. doi:https://doi.org/10.25982/1722943
Dow, Ellen G, Wood-Charlson, Elisha M, Hess, Nancy, and Scheibe, Timothy. 2020.
"2020 Multiscale Microbial Dynamics Modeling Course". United States. doi:https://doi.org/10.25982/1722943. https://www.osti.gov/servlets/purl/1722943. Pub date:Tue Dec 01 04:00:00 UTC 2020
@article{osti_1722943,
title = {2020 Multiscale Microbial Dynamics Modeling Course},
author = {Dow, Ellen G and Wood-Charlson, Elisha M and Hess, Nancy and Scheibe, Timothy},
abstractNote = {The 2020 Multiscale Microbial Dynamics course is adapted from the virtual 2020 Mutliscale Microbial Dynamics Summer School that was hosted by Environmental Molecular Sciences Laboratory (EMSL), a U.S. Department of Energy (DOE) science user facility located on the Pacific Northwest National Laboratory (PNNL) campus, in collaboration with the Joint Genome Institute (JGI) and the DOE Systems Biology Knowledgebase (KBase). The course course covers how to incorporate microbial metagenomic and environmental metabolite data from watershed ecosystems into metabolic and community modeling using computational frameworks, such as KBase and PFLOTRAN. The curriculum includes lectures and software and data analysis tutorials. All materials are freely accessible to the community as part of the 2020 Microbial Dynamics Summer School Organization in KBase.},
doi = {10.25982/1722943},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 01 04:00:00 UTC 2020},
month = {Tue Dec 01 04:00:00 UTC 2020}
}