How to perform a QTL power analysis in R

This video shows you how to perform a QTL power analysis using the program R.

There is a first part to this video, which can be found here:

This tutorial assumes you already have the following programs installed:

These programs are free of charge and can be installed on a Windows, Mac, or Linux (for instance, Ubuntu) machine.

Furthermore, this video assumes you have already installed the following R libraries: lme4, qtl, devtools, and qtlDesign.

This video illustrates how to perform the analysis using a Mac, but it should work exactly the same on a Windows machine, as well as on a Linux machine (assuming you have properly installed the packages on your Linux machine).

The files utilized in this tutorial can be downloaded below. Be sure to unzip the files first, and keep them together in the same folder.

[mervanbayraktar]

Thank you very much for the content you provide. I have a request if you can conduct a GWAS (Genome-Wide Association Study) and population structure and genetic diversity analysis using SNP data in R please.