Please note: for Winter Quarter 2017-2018 this course will only be available to HCP students who can come on-campus and receive instructor approval. The course is planning to return for non-degree option and HCP remote student enrollment Winter Quarter 2018-2019.
This course is focused on the convergence of molecular bioinformatics, biostatistics and statistical genetics. Bioinformatics optimizes translational medicine through the transformation of data into diagnostics, prognostics and therapeutics.
Students will analyze genetic, genomic, and biological data to become skilled at identifying different types of genome-scale measurements in molecular biology and genomic medicine. Case studies and a course project will enforce your understanding of course material and address new questions in the biomedical industry.
- Multi-scale omics data generation and analysis
- Utility and limitations of public biomedical resources
- Machine learning and data mining
- Issues and opportunities in drug discovery
- Mobile/digital health solutions
Note on Course Availability
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.
Programming ability at the level of Stanford Course CS106A, and familiarity with statistics and biology