A podcast about computational biology, bioinformatics, and next generation sequencing.
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episode 21: Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov
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
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