Title: Bioinformatics Pipeline for scRNA-seq: From Raw Data to Insights
Dates/Times:
* Thursday, May 8, 2025, 2pm - 4pm
* Friday, May 9, 2025, 2pm - 4pm

Registration form:
https://docs.google.com/forms/d/e/1FAIpQLSdpwWaDgYJTKf-n_DPhrmJ1Lz3lCowJ8DY6yyQJnn_CxucueQ/viewform

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