Title: Bioinformatics Pipeline for scRNA-seq: From Raw Data to Insights

Dates/Times:

  * Thursday, Oct 9, 2025, 2pm - 4pm

  * Friday, Oct 10, 2025, 2pm - 4pm

Registration form:

https://docs.google.com/forms/d/e/1FAIpQLSe_3ZXi0n3ilewaKZYxvpdtAlSVqBR10vkHYZ1Bs7awvP_m3A/viewform

Join Zoom Meeting

https://ualberta-ca.zoom.us/j/94771885936?pwd=zSIWxUFrcE1uFi0RzZNtXZb3IEwFMT.1

Meeting ID: 947 7188 5936

Passcode: 123456

This two-session workshop provides a comprehensive introduction to the bioinformatics pipeline for single-cell RNA sequencing (scRNA-seq), with a focus on data processing, quality control (QC), and analysis. While the primary emphasis is on computational workflows, key wet-lab concepts relevant to data quality and preprocessing will also be covered.

Session 1: Understanding scRNA-seq and Data Preprocessing

- Overview of scRNA-seq experimental workflow: sample preparation, sequencing technologies, and critical wet-lab QC steps.

- Introduction to bioinformatics tools for preprocessing: handling raw sequencing data, demultiplexing, and quality control.

- Hands-on session using tools like Cell Ranger, FastQC, and MultiQC to assess sequencing quality and detect common issues.

Session 2: Data Processing, Analysis, and Visualization

- Processing single-cell data with Seurat (R) or Scanpy (Python): normalization, filtering, and feature selection.

- Dimensionality reduction, clustering, and cell type annotation.

- Differential expression analysis and integration of multiple datasets.

- Best practices for visualizing results and reporting findings.

Who Should Attend?

This workshop is ideal for researchers, bioinformaticians, and students who want a hands-on introduction to scRNA-seq data processing and analysis, with insights into wet-lab considerations for data quality. No prior experience in scRNA-seq analysis is required, but basic knowledge of Linux command line, HPC, R or Python is beneficial.

To find other courses in this series, please visit:

https://www.ualberta.ca/en/information-services-and-technology/research-computing/bootcamps.html