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Cargese Summer School on Quantitative Population Genetics (3540)

July 08, 2013 – July 20, 2013

Location: Cargese, Corsica, France

Photo Credits: cargese.fr, Greg Barsh/Ann van Dyk cheetah preserve, worldofweirdthings.com, topnews.net.nz

Organizers: Aleksandra Walczak, Ecole Normale Superieure
                      Michael Desai, Harvard University

The laws of evolution are simple: mutations generate variation, while genetic drift, recombination, and selection change the variant frequencies. Yet it is difficult to predict how these rare events collectively determine the course of evolution in a population. This summer school will give students, post-docs and researchers in quantitative disciplines (physics, population genetics, applied math, computers science, statistics, computational and systems biology) an overview of the challenges in the field and introduce them to current analytical, computational and experimental methods of addressing the open questions.

The school will consist of a set of pedagogical mini-courses and extended seminars. Participants are encouraged to present posters or short talks.

    - theoretical population genetics
    - evolutionary dynamics
    - experimental microbial evolution
    - virus evolution
    - statistical genetics (inference)
    - large scale evolutionary events
    - evolution of cooperation
    - metagenomics

    - Isabel Gordo (Instituto Gulbenkian)
    - Anna di Rienzo (University of Chicago)
    - Boris Shraiman (KITP, UCSB)
    - David Bensimon, (ENS)
    - Bernard Dujon (Institute Pasteur)
    - Oskar Hallatschek (Max Planck Institute, Goettingen)
    - Michael Laessig (University of Cologne)
    - Dmitri Petrov (Stanford)
    - Colin Russel (University of Cambridge)
    - Thierry Mora (ENS)
    - Richard Neher (Max Planck Institute, Tuebbingen)
    - Sheri Simmons (Marine Biology Laboratory)
    - Yun Song (UC Berkeley)
    - Sander Tans (AMOLF)

    Dead line: April 2013

    RĂ©gistration fees: 750EUR for grad students, 850EUR for others
    Limitted fellowships for participants will be available.

Quantitative Population Genetics Poster


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