BIOINF 2061 - SINGLE-CELL AND SPATIAL GENOMICS DATA ANALYSIS

Minimum Credits: 3
Maximum Credits: 3
Students could work on a wide range of projects centered on the themes of preprocessing, analysis, integration, interpretation, visualization, manipulation and design of single-cell and spatial genomics data and experiments in life sciences and biomedicine. Ideas for potential projects will be suggested, and students are also free to choose their own topics. We will meet twice a week (class and recitation). Class time will be used to introduce necessary concepts from biology and computational methodology. Recitation time will be used to discuss students' progress in their projects. For most projects, knowing R or Python will be necessary, and students should be ready to pick it up in the first few weeks of the seminar. Students may pair to work on more ambitious projects, or on complementary aspects of a project.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade

Click here for class schedule information.

Add to Portfolio.

Close Window