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300217 PUE Exercises in Population Genetics (2019W)
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).
Details
max. 20 participants
Language: English
Lecturers
Classes
(Almost) every Thursday during term, 13:30 - 16:00
Place:Either Mathematics Department, Oskar-Morgenstern-Platz 1, SR 9th floor (= Math)
Or: Computer Room, Institut für Populationsgenetik, Building HA (4th floor), University of Veterinary Medicine, Veterinärplatz 1, Vienna (=VetMed)Start / first lecture: Oct 3rd, VetMed
Further dates:
Oct 10: no lecture
Oct 17: Maths
Oct 24: Maths
Oct 31: VetMed
Nov 7: VetMed
Nov 14: Math
Nov 21: VetMed
Nov 28: VetMed
Dec 5: VetMed
Dec 12: VetMed
Jan 9: VetMed
Jan 16: Math
Jan 23: no lecture
Jan 30: Exam (place to be determined)
Information
Aims, contents and method of the course
Assessment and permitted materials
Combined exam for the whole module (lecture plus exercises)
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
MES 1
Last modified: Tu 06.08.2019 09:08
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.