CMM523

043255

This one-credit course aims to equip graduate students with the basic tools necessary to tackle modern single-cell genomic analysis. The goal is to provide foundational concepts that apply to a variety of single-cell genomic application, though the instructors own background in chromatin accessibility will undoubtedly present a bias.

The course will cover these major topics: the basics of data pre-processing; single-cell RNA-seq analysis using Seurat; single-cell ATAC-seq analysis using Signac; advanced methods, including integration, trajectory analysis, etc. The course will require some R programming and some bash scripting. The course may include some Python programming.

Bioinformatics is best learned through experiential education. Therefore, most of the course will be dedicated to hands-on experience. Lectures will be limited to essential overviews, and most of the course will involve in-class assignments for individual or small group learning.

GRD - Regular Grades A, B, C, D, E

Graduate