Fixed a small error in the notes for Thursday

If you’ve downloaded the book version of the notes or downloaded the PDF version of the notes for Thursday, you’ll find that there’s an error in the Stan code used to illustrate Bayesian inference for allele frequencies. The line that reads

p ~ dunif(0.0, 1.0);

should read

p ~ uniform(0.0, 1.0);

Sorry about that. I’ve corrected both the PDF and the HTML versions of the notes here. The book version of notes will include the correction after the semester is over (because I’m likely to find other errors that I want to correct).

Lecture details for 31 August and 2 September

I just posted details of the lectures for this Tuesday and this Thursday. You will also find information about this week’s laboratory exercise in the Lab Schedule tab. My plan is to have the lecture details and the lab exercises available by Sunday evening. In some cases, I may be able to post them even earlier. Even though the lecture detail pages, which you can get to by clicking on the lecture title from the Lecture schedule page, have links to the relevant lectures, that’s all they have for now.

We’ll be using Slack for asynchronous communication

I distributed a SurveyMonkey survey asking whether we should use Microsoft Teams or Slack for asynchronous communication this fall. There was nearly 100 percent response to the survey, and the results were clear. We’ll be using Slack. I’ll get the group set up and invite everyone who’s enrolled to join it. You should be receiving an invitation by the end of this week.

Last set of notes for EEB 5348 this fall @UConn

I posted the last set of notes for EEB 5348 over the weekend. Next weekend I’ll flesh out the schedule of project and lab assignments, but don’t expect to see those posted until the semester begins. My plan is to post assignments on Mondays. There will be weekly lab assignments that are relatively small that give you practice dealing with data for the longer projects. I won’t make lab assignments in the week when a project is assigned.

In addition to the lecture notes you’ll find on individual lecture detail pages, I’ve compiled all of them into a single PDF that you can download once. The PDF is structured in such a way that if you were to print it double-sided, you could have it bound into a reference volume. Here’s the link:

  • Evolution of quantitative traits (HTML) (PDF)
  • Principles and applications of association mapping (HTML) (PDF)
  • Genomic prediction (HTML)(PDF)

Lecture notes on statistical phylogeography and quantitative genetics posted

With any luck at all, I’ll post the last set of notes for the course next Monday. The notes today include a new lecture on admixture graphs and sparg, a powerful new approach to estimating dispersal distances and the geographical location of ancestors from genomic data. They also include the first two sets of notes on quantitative genetics.

  • Statistical phylogeography: Migrate-N, IMa, and ABC (HTML) (PDF)
  • Statistical phylogeography: Admixture graphs and sparg (HTML) (PDF)
  • Population genomics (HTML) (PDF)
  • Introduction to quantitative genetics (HTML) (PDF)
  • Resemblance among relatives (HTML) (PDF)

Two weeks worth of updates on lecture notes

I revised some notes last weekend and posted them to the lecture detail pages on the course website, but I didn’t make a note of that here. This weekend I revised some more. The result is that there’s a pretty long list of additions – all the way from the coalescent through AMOVA. With a little luck, the notes on statistical phylogeography and population genomics will be done by next week. Because I’ll be really busy once the semester begins, I’m doing my best to get all of the notes revised before the semester begins. That way I can focus on lab exercises once the semester starts.

  • The coalescent (HTML) (PDF)
  • Introduction to molecular evolution (HTML) (PDF)
  • Patterns of nucleotide and amino acid substitution (HTML) (PDF)
  • Detecting selection on nucleotide polymorphisms (HTML) (PDF)
  • Analysis of molecular variance (AMOVA) (HTML) (PDF)