In the last few decades we have witnessed the rapid development of extremely efficient genome sequencing and other high-throughput molecular biology research techniques. With these techniques came the need to store, make available, and analyze huge amounts of biological data. Biomedical data science brings together biology, computer sciences, and statistics to efficiently store and mine these datasets. The proliferation of databases, access of data, and new analysis methodologies necessitates that those involved in life sciences be proficient in the utility of databases and the manipulation and analysis of large data sets. This course introduces students to the principles of biomedical data repositories, bioinformatics, computer scripting in R, statistics and data visualization using publicly available large-scale multidimensional datasets relevant to the life sciences industry. (ALS 411)
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