Estimating viability, principles of genetic drift, and an R Shiny application illustrating genetic drift

I’ve posted the last set of notes on selection, outlining the principles of estimating viability components of fitness from observations on genotypes before and after selection. I’ve also posted notes on basic principles of genetic drift, including the concept of effective population size. In addition, I’ve written an application in R Shiny that lets you explore the properties of genetic drift. You can pick the initial allele frequency, the number of different populations subject to drift (from one to ten), the (effective) population size of each population, and the number of generations for the simulation to run.

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