BIOINF 2016 - FOUNDATIONS OF TRANSLATIONAL INFORMATICS

Minimum Credits: 3
Maximum Credits: 3
The field of translational bioinformatics emerged because of the recent advances in biotechnology with which several new types of patient and disease specific data are being created for large subpopulations. Computer science methods are being rapidly adapted to process and analyze this data, with the goal of drawing biologically and medically-relevant inferences. By analyzing these different types of data individually or integratively, it is now feasible to attempt deciphering biological root cause of a disease (at least the 'why' of the disease if not 'how'), to identify biomarkers, and to design personalized medicine.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis

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