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RNAseq data analysis using Galaxy

Author(s): Matthew Escobar1, Sam S Donovan2, Irina Makarevitch3, Bill Morgan4, Sabrina Robertson5

1. California State University San Marcos 2. University of Pittsburgh 3. Hamline University 4. The College of Wooster 5. North Carolina State University

67 total view(s), 21 download(s)


This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 4.0 - published on 26 Jul 2021 doi:10.25334/XHW8-7189 - cite this



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.


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