RNAseq data analysis using Galaxy
Author(s): Matthew Escobar
California State University - San Marcos
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Summary:
This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
Contents:
Bundle(ZIP | 15 MB)- License terms
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:
- Matthew Escobar (2017). RNAseq data analysis using Galaxy. NIBLSE Incubator: RNAseq data analysis using Galaxy, (Version 2.0). QUBES Educational Resources. doi:10.25334/Q4K379