We take a critter’s eye view to explore how animal behavior parallels humans. Join comedians and science-lovers as we get inside the minds of animals
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Вміст надано Roman Cheplyaka. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Roman Cheplyaka або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
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#62 Steady states of metabolic networks and Dingo with Apostolos Chalkis
Manage episode 298587346 series 1537951
Вміст надано Roman Cheplyaka. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Roman Cheplyaka або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.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:
- 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.
70 епізодів
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Manage episode 298587346 series 1537951
Вміст надано Roman Cheplyaka. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Roman Cheplyaka або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.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:
- 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.
70 епізодів
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Схожі до the bioinformatics chat
We take a critter’s eye view to explore how animal behavior parallels humans. Join comedians and science-lovers as we get inside the minds of animals
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continue reading
I discuss a variety of topics in both the natural and social sciences, exploring the many fascinating insights that the scientific method yields about the world around us.
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