BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data.

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data.

Genome-scale metabolic models (GEMs) are mathematically structured knowledge bases of metabolism that provide phenotypic predictions from genomic information. GEM-guided predictions of growth phenotypes rely on the accurate definition of a biomass objective function (BOF) that is designed to include...

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Bibliographic Details
Main Authors: Jean-Christophe Lachance, Colton J Lloyd, Jonathan M Monk, Laurence Yang, Anand V Sastry, Yara Seif, Bernhard O Palsson, Sébastien Rodrigue, Adam M Feist, Zachary A King, Pierre-Étienne Jacques
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-04-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1006971

Internet

https://doi.org/10.1371/journal.pcbi.1006971

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