300217 UE Exercises in Population Genetics (2024W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 12.09.2024 14:00 to Th 26.09.2024 18:00
- Deregistration possible until Tu 15.10.2024 18:00
Details
max. 14 participants
Language: English
Lecturers
Classes
Friday afternoons 13:15-16:15
Note that as a one-time exception, the class on 4th October will take place virtually. Video link to be sent later by email.All other classes will take place in person at seminar room 16, Oskar-Morgenstern-Platz 1 (3rd floor)Oct 4: RK Basics of R (virtual)
Oct 11: HS Basics: distributions and statistics
Oct 18: HS Hardy-Weinberg testing
Oct 25: HS Deterministic Models
Nov 1: Public Holiday
Nov 8: RK Sampling, stochastic models, WF simulations
Nov 15: RK Sequence data
Nov 22: HS Drift with Selection: Transition matrices
Nov 29: RK Coalescent Simulations
Dec 6: HS Coalescent Simulations 2
Dec 13: RK Quantitative Genetics
Dec 18 to Jan 6: Winter Break
Jan 10: RK Neutrality Tests
Jan 17: HS Simulating quantitative traits
Information
Aims, contents and method of the course
Assessment and permitted materials
continuous assessment based on homework and in-class presentations
Minimum requirements and assessment criteria
minimal requirement: good understanding of key concepts taught in the lecture and the exercises
Examination topics
content of lecture and exercises
Reading list
Suggested reading:
Hedrick, Genetics of Populations, Jones and Bartlett
Crawley, Statistics: An Introduction Using R, Wiley
Barrett, Linux Pocket Guide: Essential Commands, Reilly
Paradis, R for beginners (available online from CRAN)
Hedrick, Genetics of Populations, Jones and Bartlett
Crawley, Statistics: An Introduction Using R, Wiley
Barrett, Linux Pocket Guide: Essential Commands, Reilly
Paradis, R for beginners (available online from CRAN)
Association in the course directory
MES1
Last modified: Sa 05.10.2024 20:06
Introduction to R and R graphics (ggplot2), Wright Fisher simulations, Coalescent simulations, application of neutrality tests, basic handling of NGS data, simulations of quantitative traitsPre-requisites: basic knowledge of R and of the UNIX command lineGoals:
Students are familiar with the R programming language and commonly used tools in population genetics (MS, PAML, alignment tools). The students are able to simulate neutral and selective processes in populations. They can apply widely used neutrality tests to genome scale data.