Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
81
73%
Does it follow best practices?
Impact
85%
1.30xAverage score across 6 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/cobrapy/SKILL.mdFVA and flux sampling analysis
Loopless FVA used
0%
0%
fraction_of_optimum set
100%
100%
OptGP sampling method
100%
100%
Parallel sampling processes
0%
0%
Sample validation performed
50%
100%
Validation result reported
75%
100%
slim_optimize for baseline
0%
100%
FVA results exported
100%
100%
Flux samples exported
100%
100%
Solution status checked
0%
0%
FVA at both levels
100%
100%
Minimal media design and medium manipulation
minimize_components=True
100%
100%
Medium reassigned as dict
0%
100%
Context manager for temp changes
100%
100%
slim_optimize used
0%
100%
Anaerobic condition set
62%
50%
Aerobic medium CSV
100%
100%
Anaerobic medium CSV
100%
100%
Media comparison report
100%
100%
Solution status checked
100%
100%
model.medium used for medium access
0%
80%
Parsimonious FBA and production strain analysis
pfba used
100%
100%
Context manager for objective change
100%
100%
slim_optimize for baseline
0%
100%
Solution status checked
50%
100%
Bounds set with .bounds
0%
0%
SBML format for saving
100%
100%
Solution comparison CSV
100%
100%
Growth coupling scan CSV
100%
100%
Total flux comparison reported
100%
100%
Growth constraint applied
100%
100%
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Table of Contents
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