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.).
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
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.
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 email@example.com for more information.
This workshop requires participants to complete pre-workshop tasks and readings.
Duration: 3 days
Start: Sep 08, 2021
End: Sep 10, 2021
Course Mode: Online
Status: Registration Closed
Open Access Content:
Canadian Bioinformatics Workshops promotes open access. Past workshop content is available under a Creative Commons License.