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RNAseq data analysis using Galaxy

Author(s): Matthew Escobar

California State University - San Marcos

366 total view(s), 46 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 2.0 - published on 01 Aug 2017 doi:10.25334/Q4K379 - cite this Last public release: 4.0



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.


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

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