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Introduction to RNA-sequencing data analysisThis course is designed to describe and illustrating the main steps of analysing mRNA-sequencing data from raw data (fastq files) up to the functional analysis of differentially expressed genes. Attendees should have a basic level of LINUX and R.
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| Organization/Institute/University: |
CRG (Centre for Genomic Regulation) |
Link to the resource:
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https://biocorecrg.github.io/RNAseq_course_2019/ |
Main topics:
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Learning objectives: - Understand the steps from raw reads to expression counts,
differential expression and interpretation of gene lists using
enrichment analysis
- 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 common software tools for RNA-seq data analysis and their limitations
- Run RNA-seq pipeline to perform differential expression analysis
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Added by:
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Sarah Bonnin on Friday, 27 March 2020, 11:43 AM
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In this collection of online resources you will find internal and external courses, and educational material for self-paced study. The courses are organized in four different categories: