HSE 145 Computational Immunology
This course will introduce students to fundamental concepts and the latest techniques for using computational methods to analyze immunological data. After a brief introduction to immunology, the course will move to its primary focus of analyzing sequencing data from immune cells. The first part will cover the bulk RNA-seq data analysis, including cell-type deconvolution. The second part is for single-cell RNA-seq analysis, such as cell type discovery, differentially expressed gene (DGEs) analysis, and trajectory analysis. The third part is about immune repertoire analysis, including lineage tree construction. The fourth part of the course covers advanced topics, such as spatial RNA-seq analysis. In the last a few sessions, we will see how the techniques learned from the course can be applied to the studies of infectious diseases, autoimmune disorders, and cancers.
(1 unit)
Instructor
Dr. Li Song & Dr. Kenneth Hoehn
Cross Listed Courses
QBS 145
Prerequisite
HSE 146 Introduction to Bioinformatics I or permission of instructors