300217 UE Exercises in Population Genetics (2024W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 12.09.2024 14:00 bis Do 26.09.2024 18:00
- Abmeldung bis Di 15.10.2024 18:00
Details
max. 14 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
Freitag 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
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
continuous assessment based on homework and in-class presentations
Mindestanforderungen und Beurteilungsmaßstab
minimal requirement: good understanding of key concepts taught in the lecture and the exercises
Prüfungsstoff
content of lecture and exercises
Literatur
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)
Zuordnung im Vorlesungsverzeichnis
MES1
Letzte Änderung: 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.