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|SYSM 594 - Translational Bioinformatics|
This course will cover the methodology and bioinformatics of next generation sequencing technologies for virus detection and discovery in clinical, environmental, and biological samples. . It will comprise of a combination of lectures, invited seminars, and hands-on computer-based exercises utilizing web-based bioinformatics tools and publically-available databases for analyzing next generation sequence datasets and for annotation of viral sequences. Additionally, the course will provide working-knowledge for developing bioinformatics pipelines for big data analysis. The course will include hands-on experience with the most popular Biomedical Workbench licensed software for data analysis. The course will also cover aspects of Translational Sciences applicable to analysis of”Big data”. The course will be co-directed by an eminent scientist in the area of retroviruses from FDA.
2.000 Credit hours
2.000 Lecture hours
Levels: MN or MC Graduate
Schedule Types: Independent Study, Laboratory, Lecture, Recitation, Seminar
Systems Medicine Department