Joint Spring School Bioinformatics and Population Genomics

Date 29 May - 2 June 2016
Fees *academic: 0 CHF   -   for-profit: 0 CHF
Cancellation deadline 5 May 2016
City swiss alps
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.

Overview

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.

Learning objectives

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
•    Demography

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

Prerequisites

Knowledge / competencies:

  • Basic understanding of working with command line tools on Linux or Windows-based operating systems. If you do not feel comfortable with UNIX commands, please take our UNIX fundamentals e-learning module. Alternatively, you have the opportunity to attend our next "First Steps with UNIX in Life Sciences" that will take place in Geneva, 24 May 2016.

Technical:

  • Please bring your own laptop
  • We will probably ask you to install a Virtual Machine, a guide will be provided


  A detailed program as well as registration are available on the CUSO/Staromics website