Crash Course in R and Prostate Cancer Bioinformatics
Date: 18 - 20 February 2020
In this workshop, you will be learning how to analyse RNA-seq count data, using R. This will include reading the data into R, quality control and performing differential expression analysis and gene set testing, with a focus on the edgeR analysis workflow. You will learn how to generate common plots for analysis and visualisation of gene expression data, such as boxplots and heatmaps. You will also be learning how alignment and counting of raw RNA-seq data can be performed in R. This workshop is aimed at biologists interested in learning how to perform differential expression analysis of RNA-seq data when reference genomes are available..
Contact: bioinformatics-core@sheffield.ac.uk
City: Oxford
Country: United Kingdom
Event types:
- Workshops and courses
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