- Overview
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- Course content
- Bioinformatics tools and resources for immunology
- State-of-the-art in T-cell immunology
- R for immunology bioinformatics
- Single-cell RNA seq analysis
- Flow cytometry analysis
- Multiomics data integration
- Introduction to machine and deep learning analysis
- Genetics of molecular and immune phenotypes
- High-throughput sequencing: Material sharing, dissemination, and reusability
- Open data and entrepreneurship – a contradiction?
- Trainer biographies
- Further learning
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