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
Close
You are here: Home / Resources / Teaching Materials / RNAseq data analysis using Galaxy / Description
Resource Image

RNAseq data analysis using Galaxy

Author(s): Matthew Escobar

California State University - San Marcos

366 total view(s), 46 download(s)

Download

Adapt 0
Summary:
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 2.0 - published on 01 Aug 2017 doi:10.25334/Q4K379 - cite this Last public release: 4.0

Tags

  1. Lab
  2. mapping
  3. Undergraduate
  4. workflow
  5. NIBLSE
  6. Galaxy
  7. RNAseq
  8. gene expression
  9. Instructional Setting
  10. Audience Level
  11. Advanced
  12. Activity Length
  13. Extended Project
  14. C1. Role of bioinformatics
  15. C2. Computational concepts
  16. C3. Statistical concepts
  17. C5. Data retrieval
Contents:
view all files

Description

This resource involves downloading RNAseq data sets from NCBI SRA and using Galaxy tools to identify differentially expressed genes (in this case Arabidopsis roots +/- nematode infection). Students are introduced to all major computational steps in RNAseq data analysis, including the concept of computational pipelines/workflows.

Notes

Version 2 includes updates from the author based on NIBLSE RRC recommendations. 

Cite this work

Researchers should cite this work as follows:

Close

Home

Search