Course: "Experimental evolution: From theory to practice”


If you wish to attend the lectures, only, please sign up by emailing to popgen.vienna(at) as space is limited!

Schedule and venue

Sunday: suggested arrival
9:00-13:00 Lectures
14:00-18:00 Practicals
Saturday: suggested departure

Detailed schedule here

Venue is the computer room of the Institute of Population Genetics (Vetmeduni Vienna), accessible at the 4th floor of campus building HA. Link to map

Link to area map

Call for participants (closed)

Update: Successful participants have been notified.


The Vienna Graduate School of Population Genetics is now accepting applications for the course "Experimental evolution: From theory to practice” at the University of Veterinary Medicine in Vienna, November 6-10, 2017.

Experimental evolution is extensively used to address questions of evolutionary biology by exposing evolving populations to different environmental conditions. It offers the opportunity to replicate experiments and test for convergent outcomes. With the recent drop in DNA sequencing cost and the advance of sequencing technologies, the combination of experimental evolution with next generation sequencing of pools of individuals (Evolve & Resequence) has become a state-of-the-art method to link phenotypic responses to genetic changes. Although the availability of replicated time series data is one key advantage of E&R, the analysis of such data sets is still in its infancy. This course will introduce the participants to several new approaches for the analysis of genomic time series data covering the latest software tools as well as required statistical and computational skills.

The course is targeted towards researchers interested in experimental evolution combined with NGS and will cover the design of experimental evolution studies as well as the analysis of Pool-Seq time series data.
The course aims to introduce participants to:

  • State-of-the-art software packages
  • Modeling of neutral data
  • Identifying selected regions
  • Comparison of n-point analysis with time series data
  • Inferring linkage structure of Pool-Seq data
  • Estimating selection coefficients
  • Calling transposable elements in time series data
  • Inferring selection in transcriptomics data

Morning lectures by internationally renowned faculty will be followed by computer practicals on the analysis of experimental evolution data in the afternoon.

Jeffrey E. Barrick (The University of Texas at Austin, US)
Antony M. Dean (University of Minnesota, US)
Tadeusz J. Kawecki (University of Lausanne, CH)
Christian Schlötterer (Vetmeduni Vienna, A)
Marina Telonis-Scott (Monash University, AUS)
Olivier Tenaillon (French Institute for Medical Research, FR)
Henrique Teotonio (IBENS, FR)

The course is free but will be restricted to a maximum of 15 participants for the practical sessions (hands on computer lab). Additional seats will be available for attending the lectures, only. Students and researchers are invited to apply by submitting a single .pdf file containing 1) a short CV, 2) a motivation letter and a statement of computer skills to popgen.vienna(at) by August 15, 2017. Confidence in working with Unix command line as well as in R, is strongly recommended for the practicals.

Participants are expected to arrange their own accommodation.

FWF - Der Wissenschaftsfond Partner: FWF - Der Wissenschaftsfond
Vetmed Uni Vienna Partner: Vetmed Uni Vienna
Max F. Perutz Laboratories Partner: Max D. Perutz Laboratories
Gregor Mendel Institut Partner: Gregor Mendel Institute
Uniwien Partner: Uniwien