[Bionews] Conservation genetics data analysis course
(by congen from popgen.eu)
Thu May 14 13:57:26 EST 2009
4th ConGen- Population Genetics Data Analysis Course
Recent Approaches for Estimation of Population Size, Structure, Gene
flow, Selection Detection focusing on conservation and beyond
31-Aug/4-Sep 2009, Flathead Lake Biological Station, Montana, USA
Applications for 2009 are open!
Objective: To provide training in conceptual and practical aspects of
data analysis for the conservation genetics of natural and managed
populations. Emphasis will be on interpretation of output from recent
novel statistical approaches and software programs. The course also
will allow daily discussions among young researchers and
top-researchers to help develop the next generation of conservation
geneticists, and to identify developments needed to improve data
analysis approaches. This course will cover analysis methods including
the coalescent, Bayesian, approximate Bayesian, and likelihood-based
Who should apply: Ph.D. students, post-docs, and population biologists
with a background of at least one semester university-level course in
population genetics and a course in population ecology. Applicants
must have a basic background in population genetic data analysis,
including testing for Hardy-Weinberg proportions and gametic
Participation will be limited to 20 people allowing efficient
instruction with hands-on computer exercises during the course.
Priority will be given to persons with their own data to analyze (for
example graduate students at the end of their degree program).
Deadline for application is 30 June, 2009
Course/Workshop Format: For each subject, we provide 30-45 minutes of
background, theory, discussion and introduction to concepts.
Immediately following, we will conduct data analyses together for
30-60 minutes using relevant software programs and real data sets.
Evening hands-on computer sessions and housing together of instructors
and students in the same location will allow for extensive exchange
and facilitate learning.
For detailed information see http://popgen.eu/congen2009/
congen from popgen.eu
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