Introduction to Data Science in Molecular Biology

Catalog description

In this course, second year PhD students in the Molecular Biology, Cell Biology, and Biochemistry Graduate Program (MCBGP) will learn about the basic methodologies to analyze and interpret omics datasets. This course combines lectures with hands-on workshops on data science applied to molecular research for the analysis of nucleic acids and proteins. Student will acquire knowledge of the data generated by modern molecular biology, and of the computational methods used to analyze and interpret these datasets. The hands-on workshop will teach students how to utilize the state-of-the-art computational workflows to create reproducible pipelines for data analysis. Students will also learn the best practices in data management, organization and sharing, with a focus on the big data generated by modern sequencing techniques in the life sciences. Enrollment is restricted to second year MCBGP PhD students. This is a half credit course.