A new edition of the Programming for Evolutionary Biology is arriving!

3rd Programming for Evolutionary Biology Course

March 21st – April 6th 2014

Leipzig, Germany

This year with the following lecturers:
Giovanni Marco Dall’Olio, University Pompeu Fabra, Barcelona, Spain
David Langenberger, University of Leipzig, Germany
Steve Hoffmann, University of Leipzig, Germany
Anja Westram, University Sheffield, United Kingdom
Katja Nowick, University of Leipzig, Germany
Mehmet Somel, METU Department of Biological Sciences, Ankara, Turkey
Johannes Engelken, University Pompeu Fabra, Barcelona, Spain
Stuart Baird, University of Antwerp, Belgium
Sofia Robb, University of California Riverside, USA
Christoph Bleidorn, University of Leipzig, Germany
Jan Aerts, Leuven University, Belgium
Bert Overduin, EMBL – European Bioinformatics Institute, Hinxton, Cambridge, UK
Tomas Marques-Bonet, University Pompeu Fabra, Barcelona, Spain
Walter Salzburger, University of Basel, Switzerland
Rui Faria, University of Porto, Portugal
Fyodor Kondrashov, University Pompeu Fabra, Barcelona, Spain
Peter Stadler, University of Leipzig, Germany

Teaching Assistants
Lydia Steiner, University of Leipzig, Germany
Jan Engelhardt, University of Leipzig, Germany
Alvaro Perdomo-Sabogal, University of Leipzig, Germany
Tiago Carvalho, University Pompeu Fabra, Barcelona, Spain
Vladimir Jovanovic, University of Belgrade, Serbia
Rik Verdonck, University of Leuven, Belgium

Technical Support
Jens Steuck, University of Leipzig, Germany
Valentina Klebanova, DITON, Regis-Breitingen, Germany

“Nothing in Biology Makes Sense Except in the Light of Evolution” (Dobzhansky, 1973). Today, evolutionary biology often involves the analysis of an unprecedented amount of information and supports many other disciplines, such as medicine (evolutionary medicine), behavioral biology (evolutionary psychology), ecology, and information transfer. Scientists have to analyze large datasets, which requires computational programming skills to design and apply own ideas into customized algorithms.

In this intensive 17 days course, students will learn how to survive in a Linux environment, get hands-on experience in two widely used programming languages (Perl and R), and statistical data analysis. The classes will be given by experts in the field and consist of lectures and exercises with the computer. The aim of the course is to provide the students with the necessary background and skills to perform computational analyses with a focus on solving research questions related to genomics and evolution. The philosophy of the course will be “learning by doing”, which means that the computational skills will be taught using examples and real data from evolutionary biology for the exercises. During the course, students will also propose projects of their own interest and perform them as final projects in small groups under the supervision of a teaching assistant. This summer school is open for students from all countries and targeted toward PhD students and postdocs of evolutionary biology or related research fields with no or little programming experience who want to become proficient in computational evolutionary biology in a couple of weeks.

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