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Next Generation Sequence Data Analysis Course in 2014

June 23-27, 2014, Max Delbrück Center (MDC) for Molecular Medicine Berlin, Germany

The 2014 Course Participants

Course Description

The goal of the course is to teach the course participants both the theory and application of methods to analyze next generation sequence (NGS) data for human traits. Attendees will learn how to design studies, call variants from NGS data, analyze population- and family-based sequence data and evaluate variant functionality.Analyses will include performing complex trait rare variant association analysis for population and trio data and also identifying variants for Mendelian traits.Exercises will be carried out using a variety of computer programs (GATK, IGV, Polyphen2, PSEQ, SEQPower, and Variant Association Tools (VAT)). TOPICS will be include: sequence alignment, calling variants from NGS data, population genetics (purifying selection, drift, etc), quality control of NGS data, association testing framework for quantitative and qualitative traits, rare variant association methods, estimating power and sample size for rare variant association tests, imputation of rare variants, detecting putative causal variants for Mendelian traits and evaluating variant functionality.

The Course Organizers and Instructors

Michael Nothnagel (University of Cologne, Germany), Laurent Francioli (University Medical Center Utrecht), Suzanne M. Leal (Baylor College of Medicine, Houston, U.S.A.) und Peter Nick Robinson (Charité).

Data sets used during the course

In order to obtain a particular data set, please follow the following steps:

  1. Download the respective data archive file ('*.tgz') and place it into an appropriate directory.
  2. At the command prompt (aka shell or terminal), make this directory the working directory by using the 'cd' command.
  3. Extract the data files by typing tar -xzvf and adding the name of the archive file (e.g. tar -xzvf seq.gatk.tgz for the GATK exercise). The data files will then be in a corresponding subdirectory (e.g. gatk).
  4. Change to this subdirectory (e.g. cd gatk) and proceed with the exercise.

Software links