Session 1 Introduction to Conservation Genomics Approaches

This first presentation in the course is given by Dr. Kristen Ruegg.

There is not an accompanying narrative at this webpage, but you can download a complete (24 Mb) PDF of her slides at: https://drive.google.com/uc?export=download&id=1VoE26VT9_judMT0rH2V3jy7MDX3ZgYk7.

1.1 Breakout room activity material

The breakout room activity slides (for the separate groups to fill out) are at: https://docs.google.com/presentation/d/1-upYVY70-IxaG7GH246lKe1-GFrgs8emK2IBkO6Qm2Q/edit?usp=sharing

The informational slides from Kristen’s talk can be downloaded from here: https://drive.google.com/uc?export=download&id=1cgFgBxHXaz8p0RaBtTX1oUMhBA61nRfW

The relevant paper by Allendorf et al. is at: https://drive.google.com/uc?export=download&id=1iQiW6Wm-9FIdz0LLPPyJkETSBiYkhUZx

1.2 After Kristen’s Talk and the activity please download the course repository

To prepare for the interactive code sessions, it will be important to download the raw material for this course website as an RStudio Project. This will provide you with all of the data sets and other inputs needed for running all the examples.

The easiest way to get this RStudio project is to download it as a .zip file from GitHub,1, using the following steps:

  1. In your web browser go to: https://github.com/eriqande/merida-workshop-2022.

  2. Click the green “Code” button.

  1. From the context menu that pops up when you click that green button, choose Download Zip

  1. That will download a compressed folder that is an RStudio project. You must uncompress it. On a Mac, this is done simply by double clicking it. On windows, make sure that all the files stay inside the directory that they come in, which is called merida-workshop-2022-main.

  2. Using Finder (on a mac) or File Explorer (on Windows) navigate inside that merida-workshop-2022 directory and double click the file merida-workshop-2022.Proj. The .Rproj extension might not show up on your computer, depending on your settings. At any rate, it is an RStudio Project, “proj” file. Double clicking it will launch RStudio and open the project.

  1. If you are comfortable with git, feel free to clone the repo, but for others not comfortable with using git, it will be easiest to simply download it using the directions given.↩︎