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Analysing population genetic data
Course description
New molecular techniques make it relatively easy to generate a good amount of genotypic data from populations of almost all organisms. This course starts with a brief introduction to population genetics and available computer programs, then follows a set of computer exercises about;:
- input files for the different programs
- descriptive statistics, marker evaluation and detection of null alleles
- population differentiation with analytical and Bayesian statistical techniques
- multi-variate analyses of genetic variation (AMOVA)
- effective population size and population bottlenecks
- bidirectional and asymmetric gene flow and the effects of e.g. landscape features
- assignment of individuals to populations
- population genomics
Course organization
This is a computer based course that provides a thorough introduction and hands-on experience in how to analyze diploid genotypic data (e.g. microsatellites and SNPs). The course will be run for 5 days during one week.
Organizer
Bengt Hansson bengt.hansson@zooekol.lu.se
Pre-requisites
Course participants are encouraged to bring their own data, however, that is not a required condition for participating.
Time-period
April 19-23, 2010
Literature
Printouts of key papers and free software
Last modified 6 Jun 2010
Phone:
+46 46-2224996
E-mail:
Bengt.Hansson@biol.lu.se