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

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Manage episode 298587346 series 1537951
Content provided by Roman Cheplyaka. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Roman Cheplyaka or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

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

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70 episodes

Artwork
iconShare
 
Manage episode 298587346 series 1537951
Content provided by Roman Cheplyaka. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Roman Cheplyaka or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

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

  continue reading

70 episodes

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