dingo is a Python library for sampling and analyzing metabolic networks. It uses high-dimensional MCMC sampling powered by volesti to explore the feasible flux space of large-scale metabolic models.
Applications:
- Metabolic flux analysis and flux variability analysis in systems biology
- Unbiased description and visualization of metabolic network capabilities
- Research workflows based on state-of-the-art geometric sampling
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