Introduction to genome-wide association studies (GWAS)

Dates

2-6 March 2020

General Topic: Bioinformatics pipeline for GWAS analysis

 

Where

Freie Universitat Berlin; Otto-von-Simon Strasse 26, 14195

 

OVERVIEW

This course will introduce students, researchers and professionals to the steps needed to build an analysis pipeline for Genome-Wide Association Studies (GWAS). The course will describe all the necessary steps involved in a typical GWAS study, which will then be used to build a reusable and reproducible bioinformatics pipeline.

FORMAT

The course is structured in modules over five days. Each day will include introductory lectures with class discussions of key concepts. The remainder of each day will consist of practical hands-on sessions. These sessions will involve a combination of both mirroring exercises with the instructor to demonstrate a skill as well as applying these skills on your own to complete individual exercises. After and during each exercise, results will be interpreted and discussed in group.

TARGETED AUDIENCE & ASSUMED BACKGROUND

The course is aimed at students, researchers and professionals interested in learning the different steps involved in a GWAS study using them to build a structured pipeline for semi-automated and reproducibile GWAS analyses. It will include information useful for both beginners and more advanced users. We will start by introducing general concepts of GWAS and bioinformatics pipeline building, progressively describing all steps and putting there seamlessy together in a general workflow. Attendees should have a background in biology, specifically genetics; previous exposure to GWAS experiments would also be beneficial. There will be a mix of lectures and hands-on practical exercises using R, Linux command line and custom software. Some basic understanding of R programming and Unix will be advantageous. Attendees should also have some basic familiarity with genomic data such as those arising from NGS experiments.

 

LEARNING OUTCOMES

  • Understanding the different steps involved in a typical GWAS analysis and how to build them together in a general workflow / bioinformatics pipeline

Program

 Monday- 09:30- 17:30

 

 

Lecture 0 - General Introduction / Overview of the course

 

Lecture 1 & 2- Introduction to GWAS: Linkage disequilibrium and Linear Regression.

 

Lecture 3  - GWAS: case studies / examples from literature

 

LAB 1_part1  - basic Linux and R

 

LAB 1_part2  - Practicalities and set-up (server, github repo, conds envs, etc) and description of datatsets

 

Instructors

 

Dr. Filippo Biscarini

 

 

COst overview

Package 1

COURSE +  REFRESHMENTS

 

 

Package 2

COURSE +  REFRESHMENTS + LUNCHES AND HOTEL

530 €

880 €


Please click HERE to get all the information about our packages.

 

 

 

 

Registration deadline: 2nd of February 2020

Cancellation Policy:

 

 

 

> 30  days before the start date = 30% cancellation fee

 

< 30 days before the start date= No Refund.

 

 

 

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.