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Introductory course: RNA-seq data analysis
Registration HERE
13/05/2019 to 27/05/2019
Introductory course: RNA-seq data analysis
Learn how to analyze RNA-seq data and interpret the results
Dates 5 half days (18 hours in total)
13th & 14th May 9:30-13:30
15th & 16th May 14:00-17:00
27th May 9:30-13:30
Course Description
This practical training course provides an introduction to gene expression analysis by RNA- seq technology.
Course Organizer: CRG Bioinformatics unit (Biocore)
Course Instructors: Sarah Bonnin and Luca Cozzuto
Maximum nº of students: 19
Learning Objectives
At the end of the course, the participants will be able to:
- Define a good experimental design, including experimental design, sequencing design, and quality control steps
- Perform quality assessment of RNA-seq data, raw and processed
- Understand file formats commonly used in RNA-seq data analysis
- Gain an overview on some of the common software tools for RNA-seq data analysis and their limitations
- How to work with public repositories of gene expression data
- Understand the steps from raw reads to differential expression analysis and interpretation of the results
Course Program
- Day 1: Download raw data, quality control of data, experimental design
- Day 2: Read mapping to reference transcriptome
- Day 3: Differential expression analysis
- Day 4: Genome browser, gene ontology enrichment analysis
- Day 5: Troubleshooting of a mini-project
Prerequisites
- Advanced LINUX and genomics data formats
Application deadline: 20th of April 2019