Steady states of metabolic networks and Dingo with Apostolos Chalkis the bioinformatics chat

In this episode, Apostolos Chalkis presents sampling steady
states of metabolic networks as an alternative to the widely used flux balance
analysis (FBA). We also discuss dingo, a
Python package written by Apostolos that employs geometric random walks to
sample steady states. You can see dingo in action
here.






Links:



Dingo on GitHub
Searching for COVID-19 treatments using metabolic networks
Tweag open source fellowships
This episode was originally published on the Compositional podcast.






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