Proteins, Transcripts, and Metabolism: Big Data in Molecular Nutrition

3.0 credits · Graduate

This course will introduce the concepts of big data analysis in the context of transcriptomics and proteomics with a focus on metabolic regulatory networks. Programming in Python will be used, but no prior experience is necessary. Programming will focus on methods to parse large data sets, perform informatics analyses, and build machine learning models. Prior courses in biology and biochemistry are prerequisites. Students must own or have personal access with administrative privileges to a computer with Windows 10 or MacOS 10.14 (or more recent).