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You are here: Home / Resources / Teaching Materials / RNAseq data analysis using Galaxy / About

RNAseq data analysis using Galaxy

By Matthew Escobar

California State University - San Marcos

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

Listed in Teaching Materials | resource by group NIBLSE Incubator: RNAseq data analysis using Galaxy

Version 2.0 - published on 01 Aug 2017 doi:10.25334/Q4K379 - cite this Last public release: 3.0

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

View most current public release [3.0] for latest usage information.

255 total view(s), 37 download(s)

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.

Content List

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Tags

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

Notes

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

NIBLSE Incubator: RNAseq data analysis using Galaxy

NIBLSE Incubator: RNAseq data analysis using Galaxy group image

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