Julia Scheel, Andrea Bagnacani, Markus Wolfien (RBC)

13.07.2020, 15.07.2020, 27.07.2020

Life sciences used to be all about wet-lab expertise. Due to fast technical innovations and digitalisation we are now facing the challenge of dealing with vasts amounts of data. Analyses of such data requires advanced statistics and specialized tools to run analyses and to visualize both data and results. Science becomes more and more dependent on bioinformaticians and computer scientists, which creates the additional challenge of interdisciplinary communication. This course introduces the Galaxy framework, an open source, web-based platform for data intensive biomedical research, Python, an interpreted, high-level, general-purpose programming language, and Jupyter Notebook, a multi-language framework for interactive computing. You can chose to use this course as a stepping stone into advanced analyses, or as an opportunity to learn what your bioinformatician of trust is actually doing. Further courses and   tutorials for Galaxy and Python are widely available. Both Galaxy and Python have active user communities, making self-paced learning possible.

Learning goals:
- Know your data: implications of quality control and data  preprocessing
- Hands-on quality control and data preprocessing
- Understanding and programming in Python
- Hands-on session with Jupyter Notebooks.

This workshop is intended for PhD students with a background in medicine, engineering and life science research. In order to take part in the hands-on session we recommend one Laptop/PC  and a stable internet connection. We further ask you to create a Galaxy account beforehand.

  - Galaxy:
  - Python:
  - Jupyter Notebook:

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The course is booked out!