Fundamentals of Data and Molecular Visualization in Biomedical Research.

Catalog description

Approval from the course instructor required -- Knowledge of introductory biochemistry and molecular biology is required -- Previous experiences with R, PyMol, and machine learning are NOT necessary for attending this class. This is an introductory course focused on methods to visualize scientific data and molecular structures and to use machine learning for big data exploration to solve relevant research questions. The course will include: R to visualize various biomedical data and generate multiple publication-ready figures and tables, phylogenetic analysis using R and other tools, and PyMol to visualize and analyze molecular structures and create images for publication. This course will also include a large codebase on using R and machine learning; introduce state-of-art packages to summarize and visualize various data types and to use machine learning for big data.