This course is co-organised by the SIB PhD Training Network and doctoral programs from the CUSO: Staromics and Ecology-Evolution. Priority is given to their members, but is open to everyone.
Population Genomics and Bioinformatics share many common interests at the interface of modern integrative biology, which may generate enormous quantities of complex data, often through multiple sources. Efficient and accurate analysis of such data can only be accomplished through appropriate computational methods.
This Spring School aims to give you access to the state-of-the-art bioinformatics techniques and the biological questions that population genomics has prompted. You will learn how to integrate, manage, and analyse experimental genomics data using advanced bioinformatics tools.
Morning lectures will focus on the following topics:
• Ancient DNA and Adaptation
• Evolution of Gene Expression
Afternoon hands-on session will focus on:
• Genome assembly & annotation
• Calculating and interpreting population genetic statistics from genomic data
• Evolutionary analysis of RNA-seq data
Knowledge / competencies:
A detailed program as well as registration are available on the CUSO/Staromics website