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Monthly Archives: October 2011
Journal tea: 1st Nov.
For tuesday let’s read: Bhatia et al. Genome-wide comparison of African-ancestry populations from CARe and other cohorts reveals signals of natural selection. AJHG 2011
Journal tea: 13th Oct
Matt Rockman’s review on the QTN program
Posted in journal tea
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Population genetics course resources: Hardy-Weinberg Eq.
Using data from the Hapmap to illustrate Hardy Weinberg equilibrium. The code and the data are below. The original inspiration for these comes from John Novembre, who made a similar plot for one of his classes. I took 10,000 SNPs … Continue reading
Posted in popgen teaching, Programming exercises, teaching
14 Comments
Population genetics course resources: Quantitative traits 3.
Final of this initial set of 3 quantitative trait simulations. The first reason I set out to do these simulations is that none of the figures in text books were very good (okay these aren’t pretty but at least I … Continue reading
Posted in popgen teaching, Programming exercises, teaching
2 Comments
Population genetics course resources: Quantitative traits 2.
The second quantitative trait code post. The set up is the same as in the last QT post. I simulate parents with L genotypes drawn binomially from the population, and then make kids from these parents. This one makes the … Continue reading
Posted in popgen teaching, Programming exercises, teaching
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Population genetic course resource: Quantitative traits 1
Here’s the first of 3 Quantitative trait simulations I wrote for last year. We used them in class and also had the TAs in my big undergrad class use them. Code to simulate the phenotypes of a population. There are … Continue reading
Posted in popgen teaching, Programming exercises, teaching
2 Comments
Teaching Population genetics resources
I teach a graduate level population genetics class, in our Population Biology Graduate Group core (along with a large undergrad class on An Introduction to Evolution). I taught the course last year and it went reasonably well (well no one … Continue reading
journal tea Oct 4th.
Bayesian inference of ancient human demography from individual genome sequences -Gronau et al A summary of the paper by Pritchard the paper relies on the method of Rannala and Yang