This course provides a practical introduction to Galaxy for the complete novice. Participants are lead through core aspects of Galaxy with a focus on analysis of RNA-seq data, using a case study.
After this course you should be able to:
- Perform QC of RNA-seq data (fastq, BAM and count files)
- Perform a differential expression analysis
- Create workflows for analysis of RNA-seq data in Galaxy
- Know what tools are available for RNA-seq analysis in Galaxy
- Introduction to Galaxy
- RNA-Seq reads to counts
- RNA-Seq counts to genes
- RNA-Seq genes to pathways
- Maria Doyle, Research Computing Facility
- Richard Lupat, Bioinformatics Core
This course is run by the Peter Mac Data Science Training team and uses material from the Galaxy Training Network