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#21 Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov
Manage episode 207265587 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.
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 episodes
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Manage episode 207265587 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.
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 episodes
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Similar to 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 ...
…
continue reading
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…
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…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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