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  • Created 26 Jul 2021

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.

RNAseq data analysis using Galaxy

Matthew Escobar, Sam S Donovan, Irina Makarevitch, Bill Morgan, Sabrina Robertson

Version: 4.0

This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
Lab, bioinformatics, NCBI, Teaching material, mapping, Undergraduate, workflow, NIBLSE, Galaxy, RNAseq, gene expression, Advanced, Extended Project, C1. Role of bioinformatics, C2. Computational concepts, C3. Statistical concepts, C5. Data retrieval, Incubated at NIBLSE
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07.2021

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.