Translational Bioinformatics

Description

Please note: Winter Quarter 2018-2019 course will not be recorded. It is only available to students who can come on-campus. Attendance is mandatory.

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.

Prerequisites

Programming ability at the level of Stanford Course CS106A, and familiarity with statistics and biology

Topics include

• 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

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 education section.