Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem
Resource Image

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

1057 total view(s), 176 download(s)

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

Description

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.

Notes

Revisions to previous version: In addition to minor clarification of the tutorial instructions, embedded questions were added to prompt student engagement and reflection. The grading key for tutorial questions was correspondingly updated. The PowerPoint presentation was revised to include flow diagrams of the overall procedure. Finally, the Instructor Background document was significantly revised; most notably the section on alternative RNA-seq data sets was expanded to suggest additional options. 

Cite this work

Researchers should cite this work as follows: