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	Podcast:		the bioinformatics chat
	Episode:		#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis
	Category:		Science & Medicine
	Duration:		00:38:25
	Publish Date:		2021-07-28 19:00:00
	Description:		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.
	Total Play:		0