Core modules
• Introduction to programming for biology
• Introduction to statistical computing in R
• Algorithms for molecular biology
• Medical genomics I: genomics of rare and common diseases
• Medical genomics II: the cancer genome
• Genomics techniques I: sequencing library preparation
• Genomics techniques II: genomics data analysis
Optional modules
• Scientific visualization
• Probabilistic models for molecular biology
• Molecular and cell biology of cancer
• Advanced and applied immunology
• Stochastic processes
• Machine learning
• Applied statistics
• Advanced probability with applications
• Linear modeling
• Bayesian Modeling
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