Description:
This course offers an in-depth exploration of RNA-Seq data analysis, focusing on both theoretical foundations and practical applications. It starts with an introduction to Next Generation Sequencing (NGS) and RNA-Seq, providing a solid understanding of these key technologies in genomics. Learners will then be guided through the process of setting up and using the Galaxy platform, a user-friendly web-based tool for bioinformatics analysis.
The course also covers essential data preprocessing steps, such as quality control and read trimming, to ensure that RNA-Seq datasets are ready for analysis. Students will learn how to align reads to a reference genome and perform transcript assembly and differential gene expression analysis using industry-standard tools like HISAT2, StringTie, and DESeq2.
By the end of the course, participants will have the skills needed to carry out a complete RNA-Seq data analysis workflow, from data retrieval to identifying differentially expressed genes, using the powerful and accessible Galaxy platform.
Learning Outcomes:
By the end of this course, learners will:
Understand the basics of Next Generation Sequencing (NGS) and RNA-Seq.
Set up and navigate the Galaxy platform for RNA-Seq data analysis.
Perform RNA-Seq data preprocessing and quality control using FastQC.
Align RNA-Seq reads to a reference genome and conduct differential gene expression analysis using DESeq2.
Tools and Software Covered:
Galaxy: A web-based platform for bioinformatics analysis.
FastQC: For RNA-Seq data quality control.
HISAT2: For aligning RNA-Seq reads to reference genomes.
DESeq2: For differential gene expression analysis.