In homologus/rnaseq.work: RNAseq Data Analysis

1. pasilla

source("https://bioconductor.org/biocLite.R")
biocLite("pasilla")
library("pasilla")
datafile <- system.file("extdata", "pasilla_gene_counts.tsv", package="pasilla", mustWork=TRUE)
count_table <- read.csv(datafile,sep="\t",row.names="gene_id")

2. GSE37704

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37704

https://figshare.com/articles/GSE37704_sample_data/1601975

3. GSE60450

http://combine-australia.github.io/RNAseq-R/06-rnaseq-day1.html

4. parathyroidSE

library( "parathyroidSE" )
data_dir <- system.file("extdata", package = "parathyroidSE", mustWork = TRUE)
list.files( data_dir )

http://www.sthda.com/english/wiki/rna-seq-differential-expression-work-flow-using-deseq2