This course will cover statistical models, methods, and concepts with a particular focus on applications in molecular biology and genomics. Real data sets will be analyzed in order to gain an understanding of how statistics is used in practice. Topics to be covered include probability, experimental design, point estimation, hypothesis testing, Bayesian statistics, and the extension of these topics to high-dimensional data sets. Areas of application will be chosen among quantitative genetics, sequence analysis, population genetics, association studies, gene expression analysis, and other modern experimental approaches.
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