Master the tools and techniques to confidently analyze single-cell RNA-seq data and gain new insights into complex biological systems
In a nutshell
- Explore sequencing technologies for single-cell analysis
- Process QC and analyze single-cell RNA-seq data
- Learn how to identify and annotate cell clusters
- Discover how to integrate and analyze multi-sample data
The Single-Cell RNA-Seq Workshop is designed to provide a thorough introduction to the analysis of single-cell RNA sequencing data. Through a combination of lectures and hands-on exercises, participants will learn how to process, analyze and integrate single-cell data using industry-standard tools and techniques. Topics covered include sequencing technologies, data quality control, preprocessing, dimensional reduction, clustering, trajectory inference, differential expression analysis, and multi-sample integration.
By the end of the workshop, attendees will have the skills and confidence to perform custom analyses and gain new insights into complex biological systems. This workshop is ideal for researchers and students with little or no prior experience in single-cell RNA-seq analysis, as well as those seeking to update their skills and knowledge.
Links: https://www.ecseq.com/workshops/workshop_2023-07-Single-Cell-RNA-Seq-Data-Analysis
