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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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#21 Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov
Manage episode 207265587 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.
Linear mixed models are used to analyze GWAS data and detect QTLs. Andrey Ziyatdinov recently released an R package, lme4qtl, that can be used to formulate and fit these models. In this episode, Andrey and I discuss linear mixed models, genome-wide association studies, and strengths and weaknesses of lme4qtl.
Links:
- Paper: lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals
- lme4qtl on GitHub
If you enjoyed this episode, please consider supporting the podcast on Patreon.
70 епізодів
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Manage episode 207265587 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.
Linear mixed models are used to analyze GWAS data and detect QTLs. Andrey Ziyatdinov recently released an R package, lme4qtl, that can be used to formulate and fit these models. In this episode, Andrey and I discuss linear mixed models, genome-wide association studies, and strengths and weaknesses of lme4qtl.
Links:
- Paper: lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals
- lme4qtl on GitHub
If you enjoyed this episode, please consider supporting the podcast on Patreon.
70 епізодів
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Схожі до the bioinformatics chat
How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
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