Reproducibility in Bioinformatics¶
Here you will find the materials for the Physalia course Reproducibility in Bioinformatics.
The course will be held online on Jul 07-09 2025.
Course overview¶
In this course we want to increase awareness and introduce strategies how to improve reproducibility of bioinformatic analyses. Through a mixture of theoretical blocks and hands-on exercises the instructors will guide participants to develop skills to increase reproducibility of bioinformatic analyses and workflows using containers, versioning and virtual environments.
Target audience and assumed background¶
The target audience for this course are graduate students and researchers who work with large datasets. Basic working knowledge of the Linux command line (eg. navigation in the file system, creating files and folders, executing commands) is required and experience with working on remote systems (via ssh) is an advantage. Basic knowledge of a scripting language is also beneficial (eg. python or Perl).
Learning outcomes¶
Basic concepts and techniques for modern reproducible bioinformatics data analyses
Data organization, documentation and software versioning
Setting up and working in virtual software environments
Software containerization strategies and caveats - how to use and build containers
Knowledge of how to use common workflow management systems