#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis - a podcast by Roman Cheplyaka

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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Further episodes of the bioinformatics chat

Further podcasts by Roman Cheplyaka

Website of Roman Cheplyaka