the bioinformatics chat

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

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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.

    • If you enjoyed this episode, please consider supporting the podcast on Patreon.

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    the bioinformatics chatBy Roman Cheplyaka
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