Molecular and systems biology have become data-intensive sciences owing to the fast-growing omics technologies that enable the profiling of genome, epigenome, transcriptome, and proteome at full scale and, increasingly, at the single-cell level. Computational and statistical methodologies are now indispensable for analysing omics data generated from high-throughput technologies. This unit will introduce you to commonly used computational and statistical methods in omics data analysis. You are encouraged to use your own data to construct the models to visualise your research and interpret results. Learning the correct use of computational methods for various omics data analysis applications including your own data, you will develop an essential knowledge of methods and techniques in analysing omics data. This will provide a strong foundation for using computational approaches in omics-based molecular and systems biology research.
2 x 2-hr online computer labs
2 x online quizzes (15% each, total of 30%), presentation (30%), report (40%)
A First Course in Systems Biology, Eberhard O. Voit, (Garland Science, 2017).
Experience with at least one programming language. Basic computational and statistical concepts. Basic knowledge of molecular biology.