Institute of Computer Science
University Freiburg

Seminar : Galaxy

Practical Course:

Galaxy course "Analysis of life science high-throughput data with Galaxy" (6 ECTS = 180 h workload)

Supervisors: Bjoern Gruening, Anika Erxleben, Torsten Houwaart, Berenice Batut


Course contents:

In biological and medical research big data analysis is urgently needed for understanding the information which is encoded in the molecules of life. Many diseases, such as cancer, are caused by aberrations in those molecules. In this course you will learn to use Galaxy for big data analysis which is an open source, web­-based platform for data intensive biomedical research. Galaxy provides access to a powerful analysis infrastructure and allows for reproducible and transparent data analysis. Creating pipelines and workflows in Galaxy ensure a transparent and reproducible analysis of data. The Galaxy course offers comprehensive knowledge about HTS data analyses. You will get an theoretical introduction into the analysis of DNA and RNA. After the workshop you will be able to create pipelines for your individual analyses and visualize the results.

preliminary topics:

Course structure:

The course is divided into 3 phases:

  1. Preparation
  2. Galaxy Trainings course
  3. Exercises


Galaxy Trainings course


Requirements to pass the course:
* submission of written abstracts * attendance of Galaxy course (31.7.-04.08.2017) * submission of protocol and solution for exercises

contact for questions: Anika Erxleben (


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