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ORT: A workflow linking genome-scale metabolic models with reactive transport codes
[article]
2021
bioRxiv
pre-print
Motivation: Advanced modeling tools are available for omics-based metabolic modeling and for reactive transport modeling, but there is a disconnect between these methods, which hinders linking models across scales. Microbial processes strongly impact many natural systems, and so better capture of microbial dynamics could greatly improve simulations of these systems. Results: Our approach, ORT, applied to environmental metagenomic data from a river system predicted nitrogen cycling patterns with
doi:10.1101/2021.03.02.433463
fatcat:ddjiiv2hgvbnjmp7dcut4m5hpe