RNA-seq Tutorial: Differential Gene Expression Analysis with DESeq2

Learn to conduct a complete differential gene expression analysis in this 29-minute bioinformatics tutorial that walks through using DESeq2 with data from the Gene Expression Atlas. Follow along to locate and download published RNA-seq datasets, prepare data for DESeq2 analysis, perform quality checks, and execute differential expression analysis using various design formulas. Master the creation of essential visualization tools including MA plots, volcano plots, and circos plots using the Circa plotting software. Access the provided R script on GitHub to reproduce the analysis, and gain deeper insights into DESeq design formula functionality through supplementary resources. Practice hands-on with free RNA-seq data visualization tools to reinforce learning and develop practical bioinformatics skills.