Universität Wien

300217 PUE Exercises in Population Genetics (2018W)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie

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

The exercise class occurs on Thursday afternoons 13:30-16:30 either at the institute for population genetics (IPG) or at the faculty of mathematics (OMP) and is scheduled as follows:
11/10/18 13:30-16:30 (IPG)
18/10/18 13:30-16:30 (FCS)
25/10/18 13:30-16:30 (FCS)
08/11/18 13:30-16:30 (OMP)
15/11/18 13:30-16:30 (IPG)
22/11/18 13:30-16:30 (OMP)
29/11/18 13:30-16:30 (IPG)
06/12/18 13:30-16:30 (IPG)
13/12/18 13:30-16:30 (IPG)
10/01/19 13:30-16:30 (OMP)
17/01/19 13:30-16:30 (IPG)
24/01/19 13:30-16:30 (OMP)

IPG: Computer room, Institut für Populationsgenetik, Building HA (4th floor), University of Veterinary Medicine, Veterinärpl. 1, Vienna

OMP: Faculty ofMathematics, OSkar Morgenstern Platz 1, 9th floor, Seminar room


Information

Aims, contents and method of the course

Content:
Introduction to R and R graphics (ggplot2), Wright Fisher simulations, Coalescent simulations, application of neutrality tests, basic handling of NGS data, simulations of quantitative traits

Pre-requisites: basic knowledge of R and of the UNIX command line

Goals:
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.

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

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)

Association in the course directory

MES 1

Last modified: Mo 05.11.2018 11:48