E. coli Glc-Ace 2.0

• add global sensitivity analysis (monte-carlo method) to determine 95% confidence intervals on all analyses (Figures 1, 3, 5, 6)
• plot best fits (Figure 1-supplemental figures) for alternative models (1-3)
• predict response to perturbations (Figure 3-supplemental figures) with the alternative models (1-3)

Millard et al., 2020, BioRxiv preprint.

E. coli Glc-Ace 1.0

First release of the kinetic model of glucose and acetate metabolisms in E. coli. This code reproduces Figures 1, 3-6 of Millard et al., 2020, BioRxiv preprint.