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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 tha...
#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis is an episode from the bioinformatics chat by Roman Cheplyaka. In this episode, Apostolos Chalkis presents sampling steady states of metabolic networks as an alternati...
This episode belongs to the bioinformatics chat.
Use the player on this page to stream the episode online.
Published Jul 28, 2021, 38:25 long, audio available.
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.
You can listen to #62 Steady states of metabolic networks and Dingo with Apostolos Chalkis online on Radio and Podcast. Open the player on this page to stream the available audio.
#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis is an episode from the bioinformatics chat by Roman Cheplyaka.
This episode is 38:25 long.
This episode was published on Jul 28, 2021.
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Yes. This page shows related episodes from the bioinformatics chat when more episodes are available from the podcast feed.
You can listen to #62 Steady states of metabolic networks and Dingo with Apostolos Chalkis on this page when the episode audio is available from the podcast feed.
#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis is from the bioinformatics chat by Roman Cheplyaka.
Published Jul 28, 2021 and 38:25 long