United Kingdom
RNA-seq Data Analysis
Date: 25 - 28 November 2024
RNA sequencing (RNA-seq) is the method of choice for transcriptome profiling. Nevertheless, it is a non-trivial task to transform the vast amount of data obtained with high-throughput sequencers into useful information. Thus, RNA-seq data analysis is still a major bottleneck for most researchers in this field. The ability of correctly interpreting RNA-seq results, as well as knowledge on the intrinsic properties of these data, are essential to avoid incorrect experimental designs and the application of inappropriate analysis methodologies. The aim of this workshop is to familiarise researchers with RNA-seq data and to initiate them in the analysis by providing lectures and practicals on analysis methodologies. In the practicals Illumina-generated sequencing data and various widely used software programs will be used.
Keywords: EdgeR, Gene expression, RNAseq, Salmon
Prerequisites:
- A basic understanding of molecular biology and genomics.
- A working knowledge of Linux at the level of the Edinburgh Genomics Linux for Genomics workshop.
- A working knowledge of R at the level of Edinburgh Genomics R for Biologists workshop.
- (If you are unsure of how these relate to your coding skills please check the above course pages and look at topics covered)
Learning objectives:
- Differential expression analysis (R, RStudio, edgeR, rtracklayer, ggplot2, pheatmap)
- Estimating gene count (featureCounts)
- Functional analysis (GSEABase)
- Introduction to Next Generation Sequencing
- Mapping to a reference genome (STAR, SAMtools)
- Quality control and data pre-processing (FastQC, cutadapt)
- Visualisation of mapped reads (SAMtools, IGV)
Organizer: Edinburgh Genomics
Target audience: Graduates, postgraduates, and PIs, who are using, or planning to use, RNA-seq technology in their research and want to learn how to process and analyse RNA-seq data.
Event types:
- Workshops and courses
Activity log
