A review of knowledge and data-driven computational approaches used in biotech
Using computational simulations to find the best way to produce the heme cofactor
Streamlining generation of enzyme-constrained models using GECKO
A quantitative multi-omic dataset of _S. cerevisiae_ at increasing growth rates
Studying subpopulations of a _S. cerevisiae_ strain with single-cell level technology
p-thermo: Development of a genome-scale model of _P. thermoglucosidasius_
Over-producing tryptophan using a combination of machine learning and flux balance analysis
A community tool for evaluating quality of metabolic models
Over-producing acetyl/malonyl-CoA using _in silico_ & experimental methods
The consensus metabolic model of yeast as a standard in the community