IMPORTANT! This training is postponed to next year due to #COVID19 epidemic. New dates will be announced soon!
Description of the course
The “Courses@CRG: RNA-Seq library preparation and data analysis” will provide an introduction to the RNA sequencing and library preparation technologies and data analysis tools and resources. This course will focus on the preparation of next-generation sequencing RNA-seq library for the Illumina HiSeq platform followed by data analysis and interpretation of the results. The content is intended to provide a broad overview of the most advanced RNA library preparation techniques and applications and to introduce participants to computational data analysis using command-line programs and the R programming language. It will also highlight key resources, approaches and methodologies to start with the analysis of transcriptomics data and to provide a biological interpretation of the results. The course combines lectures with practical hands-on sessions in the laboratory and bioinformatics training room to consolidate the concepts introduced during the theoretical sessions. An important part of the course will concern the definition of good experimental design, quality control steps and troubleshooting. For the library preparation, participants will have an opportunity to bring up to two samples. The course will be taught by experienced instructors from the CRG core facilities who use these protocols on a daily basis.
At the end of the course, the participants will be able to:
- Prepare RNA libraries with TruSeq stranded mRNA protocol
- Perform quality control of libraries
- Get an overview of the state-of-the-art of RNA sequencing
- Define a proper experimental design including sequencing design, and quality control steps
- Perform quality assessment of RNA-seq data and results
- Understand file formats commonly used in RNA-seq data analysis
- Gain an overview of some of the common software tools for RNA-seq data analysis and their limitations
- to mine and retrieve gene expression data from public repositories
- Understand the analysis steps from raw reads to differential expression analysis and interpretation of the results