Data visualization for biological sciences

In this practical, interactive course, you will learn how to create engaging, scientifically accurate visualizations for biological research. Using R, Python, and Inkscape, you will gain essential skills for clearly visualizing genomic and biological data.

Basic programming skills are required. The goal is not in-depth programming, but rather the practical adaptation of existing visualization scripts to your own data sets. In small groups (3–4 people per group, about 10 groups), participants will create visualizations on topics such as allele frequencies, mutation patterns, and other genomic data.

AI tools such as ChatGPT or Gemini can be used for coding support, troubleshooting, and inspiration. Their responsible use will be discussed. Each session concludes with discussions and instructor-led feedback to deepen understanding of best practices, visualization design principles, and publication standards.

The course is aimed at PhD students, postdocs, and early-career researchers in biology, bioinformatics, and related fields. While the concepts and skills taught are broadly applicable across the life sciences, our use cases and datasets are primarily drawn from genomics.

Language
English

Registration
Deadline: November 2, 2025
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Scientific organization
Georgios Kallergis
Katrina Norwood
Philipp Muench

Contact
Carmen Paulmann
Send an email

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