Educators:
Giovanni Marco Dall’Olio, David Langenberger, Mark Ravinet, Genis Parra, Deborah Triant, Katja Nowick, Vladimir Jovanovic, Mehmet Somel, Johann Visagie, Susanne Pfeifer, Maribel Hernandez Rosales, Jan Aerts, Rui Faria, Tomas Marques-Bonet, Seth Barribeau, Peter Stadler (RBC)
Date:
March 4th – March 20th 2017
Location:
Leipzig
Contents:
Introduction to Linux systems, Analysis of high-throughput sequencing data, NGS for non-model organisms: Reduced representation sequencing, Gene predictions and Genome Browsers, Genome Assembly, Introduction to R, Data visualization in R, Comparative analysis of expression data, Introduction to Python, Population genomics, Phylogenomics, Visualization of scientific data
Learning goals:
Get over the first hard steps of learning programming, Learn widely used programming languages in evolutionary biology, Learn how to analyze high-throughput sequencing data, Learn state of the art tools used in evolutionary biology research, Learn how to design and perform bioinformatics-based projects, Develop your own 3-4-days project and strengthen your team work skills, Come away with a tool kit for performing your own computational analyses, Learn to communicate with computer scientists to develop cutting edge research at the intersection of biology and your informatics department
Prerequisites:
None
Keywords:
Unix, High-Troughput sequencing, Evolutionary biology
Tools:
Python, R, Unix
Contact:
http://evop.bioinf.uni-leipzig.de/
Registration Deadline: 31.12.2016