The course introduces computational and bioinformatics methods for the analysis of high-throughput experimental data in functional genomics, using the analysis of next-generation RNA-sequencing as a leading example. The course discusses related biological concepts and techniques, statistical methods and models, and provides hands-on experience with data analysis using R-based open-source software Bioconductor. The course prepares the students to perform independent analyses of genomic data in an interdisciplinary environment such as a research lab or pharmaceutical company.
Course Credits
3