This is a tutorial for analyzing RNAseq data using the
DESeq2 and other packages from Bioconductor.
These tutorial will start explaining different ways for transcript
quantification and how to generate gene-level count data sets.
This tutorial is based on:
The RNA-seq workflow described by the authors of the
DESeq2 package. You can find the original workflow here.
The RNA-seq by example book from the Biostar Handbook Collection
Data used for this tutorial comes from the paper:
BioconductorDESeq2vsnif (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install(c("DESeq2", "vsn"))pheatmapggpubrRColorBrewertidyverse collection
ggplot2magrittrdplyrtidyrpurrrreadrinstall.packages(c('pheatmap', 'ggpubr', 'RColorBrewer',
'ggplot2', 'magrittr', 'dplyr', 'tidyr',
'purrr', 'readr'))