RNA-Seq with Bioconductor in R

RNA-Seq is a next-generation sequencing technique which identifies genes or pathways that are responsible for certain diseases and conditions. It's exciting. As high-throughput sequencing data becomes more affordable and easier to access, the ability to analyze it is becoming a valuable skill. You will learn about the RNA sequencing process and how to identify genes or biological processes that might be relevant for you. This course will give you a brief overview of the RNA sequencing process, with a special focus on differential expression (DE). The course will start with gene counts. The course will then discuss how to prepare data for DE analysis. The DESeq2 package is used to model the count data using a negative binary model, and test for differentially expressed genes. You can visualize the results with heatmaps and volcano plots. You can save the genes that are differentially expressed.