(2021) RNA-Seq Analysis
Date: 8 - 10 September 2021
High-throughput sequencing of RNA libraries (RNA-seq) has become increasingly common and largely supplanted gene microarrays for transcriptome profiling. When processed appropriately, RNA-seq data has the potential to provide a considerably more detailed view of the transcriptome. The CBW has developed a 3-day course providing an introduction to 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, etc.).
Prerequisites:
Basic familiarity with Linux environment and S, R, or Matlab. You will also require your own laptop computer. Minimum requirements: 1024×768 screen resolution, 1.5GHz CPU, 2GB RAM, 10GB free disk space, recent versions of Windows, Mac OS X or Linux (Most computers purchased in the past 3-4 years likely meet these requirements). If you do not have access to your own computer, you may loan one from the CBW. Please contact support@bioinformatics.ca for more information. This workshop requires participants to complete pre-workshop tasks and readings.
Learning objectives:
Participants will gain practical experience and skills to be able to: Perform command-line Linux based analysis on the cloud (Amazon AWS) Perform basic bioinformatics tasks such as tool installation Assess quality of RNA-seq data and perform trimming Align RNA-seq data to a reference genome Visualize RNA-seq alignments and variants Estimate known gene and transcript expression using multiple approaches Perform differential expression analysis Visualize and summarize the output of RNA-seq analyses in R Perform batch correction Perform pathway analysis Alignment free expression estimation
Capacity: 40
Event types:
- Workshops and courses
Activity log
