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Title: 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:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
DOE Contract Number:  
AC02-05CH11231; AC05-76RL01830
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); DOE Systems Biology Knowledgebase (KBase); Environmental Molecular Sciences Laboratory (EMSL), Richland, WA (United States); Pacific Northwest National Lab. (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)
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:
96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 54 ENVIRONMENTAL SCIENCES
Keywords:
metagenomic; metabolomic; metabolic modeling; reactive transport model; microbial community; watershed ecosystem; data analysis; data science;
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 00:00:00 EST 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 = {2020},
month = {12}
}