TutorialsΒΆ
The following tutorials are based on Jupyter notebooks that are also available as live code at try.cameo.bio. Furthermore, course materials are available for a 2-day course in cell factory engineering.
- Import models
- Simulate models
- Analyzing models
- Predict gene knockout strategies
- Predict expression modulation targets
- Predict heterologous pathways
- High-level interface for users
- Vanillin production
- Genome-scale metabolic model
- Heterologous pathway
- Using meta-heuristics to search for knockout strategies.
- Load model
- Setup optimization strategy for gene knockouts
- Run optimization for gene knockouts with single objective
- Load model
- Define objective function for search (multiple objectives)
- Setup optimization strategy for gene knockouts
- Run optimization for gene knockouts with multiple objective
- Select model and define objective function for reaction knockout search (single objective)
- Setup the optimization - ATP maintenance reaction is removed from targets
- Run reaction knockout optimization
- Define objectives for reaction knockout search
- Setup the optimization
- Run reaction knockout optimization