(2026) RNA-seq Analysis: Toronto, ON
Date: 22 - 24 June 2026
High-throughput sequencing of RNA libraries (RNA-seq) has become increasingly common and has become the industry standard for transcriptome profiling. When processed appropriately, RNA-seq data has the potential to provide an exceptionally rich view of the transcriptome. The CBW has developed a 3-day course providing an introduction to bulk RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. The tutorials are designed as self-contained units that include example data (Illumina paired-end RNA-seq data) and detailed instructions for installation of all required bioinformatics tools (HISAT, StringTie, Kallisto, etc.). This is a distributed workshop. It will be offered simultaneously in two locations. Instructors, TAs, and facilitators will be present at each venue and lectures will be broadcast back and forth.
City: Toronto
Region: Ontario
Country: Canada
Prerequisites:
Advanced undergraduates, graduates, postgraduates, and PIs working or about to embark on an analysis of RNA-seq data. Attendees may be familiar with some aspect of RNA-seq analysis (e.g. gene expression analysis) or have no direct experience. Note that the focus of this course is on bulk RNA-seq analysis. However, the course will cover many fundamental concepts of transcriptomics and practical bioinformatics skills relevant to NGS analysis.
Learning objectives:
Participants will gain practical experience and skills to be able to: Perform command-line Linux based analysis on the cloud Perform basic bioinformatics tasks such as tool installation Understand reference genome and transcriptome annotations Assess quality of RNA-seq data and perform read trimming Align RNA-seq data to a reference genome Visualize RNA-seq alignments, splicing patterns and sequence variants Estimate known gene and transcript expression using multiple approaches Perform differential expression analysis using multiple approaches Visualize and summarize the output of RNA-seq analyses in R Perform pathway analysis of differentially expressed genes Perform principal component analysis (PCA) and batch correction Perform pathway analysis Perform alignment free expression estimation and DE analysis
Capacity: 30
Event types:
- Workshops and courses
Activity log
