Translational Bioinformatics

3 Credits · Level: Graduate, Undergraduate

Translational bioinformatics is a field that enables transformation of basic science discoveries into clinically applicable knowledge. This provides opportunities for the practice of precision medicine and the application of systems approaches. This course will expose students to the wide range of biomedical data, from publicly available next-generation sequencing data to genetic and genomic data as applicable to cancer research. The course will comprise of a combination of lectures, invited seminars, and hands-on computer-based exercises utilizing web-based bioinformatics tools and publically-available databases Using different cancer types as examples, students will learn how to analyze data generated by genomics, epigenomics, transcriptomics, proteomics, metabolomics and other high-throughput approaches. The main goal is to understand these diseases from a Systems Perspective and learn to translate this knowledge from bench to bedside. Students will learn to perform NGS, RNAseq data analysis and use of many cancer resources.