#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis
Release Date:
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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#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis