Description:
Single-cell RNA sequencing (scRNA-seq) is a transformative technology that enables the transcriptomic profiling of individual cells, revealing the cellular and tissue heterogeneity that is obscured by traditional bulk RNA sequencing methods. This introductory course is designed for participants with little to no prior experience with scRNA-seq, and aims to build a solid conceptual foundation in the field rather than develop independent data analysis skills. Participants will learn how to critically evaluate experimental design considerations for scRNA-seq studies, understand the key steps in sample preparation, cell capture, and library construction, and gain familiarity with the standard computational analysis pipeline - from read quantification and quality control through to dimensionality reduction, clustering, and cell type annotation. By the end of the course, participants will have a broad understanding of how single-cell RNA sequencing experiments are designed, executed, and analyzed, equipping them to engage meaningfully with scRNA-seq literature and collaborate effectively with bioinformatics teams.
Teachers: Niu Huilin (Bioinformatics.ca, Western University)
Level: Introductory
Format: Lecture
Certificate: Completion
Prerequisites:
- Previous experience with bulk RNA sequencing, or participation in the Bulk RNA Sequencing workshop also offered at the Compute Ontario Summer School, would be beneficial for understanding course concepts, but is not required.
- You will also require your own laptop computer. Minimum requirements: 1024×768 screen resolution, 1.5GHz CPU, 8GB RAM, 10GB free disk space, recent versions of Windows, Mac OS X or Linux.