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Learn how to perform RNA-Seq analysis and identify differentially expressed genes (DEGs) from FastQ files using open-source tools. This 30-minute tutorial demonstrates a method to isolate DEGs from experimental data using Rsubread and DESeq2, starting from raw FastQ files. Convert FastQ files into count tables using featureCounts, merge them into an SE object, and then isolate DEGs based on your experimental design. Gain hands-on experience with R language and Bioconductor packages, ensuring reproducibility and control over the entire analysis process. Follow along with provided scripts, slides, and package documentation to master this essential bioinformatics workflow.
