Computational Functional Genomics
MIT OpenCourseWare offers this advanced course on applying computational methods to problems in systems biology and functional genomics. Topics cover genome structure and function, transcriptional regulation, and stem cell biology, alongside measurement technologies such as expression microarrays, protein-DNA interaction assays, and chromatin structure profiling. Students work through statistical data analysis, predictive and causal inference, and experiment design, with an emphasis on matching biological questions to the right computational approach. Materials include lecture notes and problem sets developed by MIT faculty, freely available for self-study with no enrollment fee. The course suits students who already have background in molecular biology and computation and want to see how the two fields combine to address real research questions in genomics.