BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale
Fig 3
Flux profiles for core metabolic models obtained through BayFlux (sampling, in blue) and 13CFLUX2 (optimization, in red) are similar.
The best sample (e.g. highest posterior probability) from BayFlux (for ten million samples) is here compared with the best fit obtained from 13CFLUX2. Results for best fits and samples are similar: while there are differences for some TCA cycle fluxes (e.g. tca3, tca4), the credible intervals for these fluxes overlap with the 13CFLUX2 best fit and its confidence interval (Fig 4 and C in S1 Text), indicating that the difference is not significant given the current data. In general, BayFlux credible intervals overlap with the 13CFLUX2 best fit and its confidence interval for all different inputs (Figs B in S1 Text and C in S1 Text). All the fluxes are in units of mmol/gDW/h. Reaction names correspond to Core Metabolic Model 1 (see Materials and methods).