During the Fall 2021 semester, participants will adapt and implement portions of the following module into two or more class sessions (or equivalent). The module covers a range of RNA-seq topics, so please select the activities that fit best into your course curriculum.
This resource involves downloading RNAseq data sets from the NCBI Sequence Read Archive (SRA) and using Galaxy tools to identify differentially expressed genes. Different data sets and experimental questions can be explored. Students are introduced to all major computational steps in RNAseq data analysis, including the concept of computational pipelines/workflows.
Galaxy uses a simple graphical user interface, allowing instructors and students with no coding or command line experience to freely access powerful bioinformatics tools. In addition, no special computational infrastructure is needed in the classroom, since all data processing is done in the freely available “Galaxy cloud” via a web interface.