Hello! I loaded my gene(/transcript) count matrix and labels into DESeq2:

> countData <- as.matrix(read.csv(file.choose(), row.names = "gene_id"))
> colData <- read.table(text = readLines(file.choose(), warn = FALSE), header = TRUE, sep = "," )

But when I check that all sample IDs in colData are also in CountData and match their orders, I obtain the following:

> all(rownames(colData) %in% colnames(countData))
[1] FALSE

It then checked to see how my gene_count_matrix.csv looks like and the column has MSTRG as the gene ID and it does not match the ID names found in phenotype_data.

I was wondering how do I make them both match so that I am able to generate a DESeqDataSet? My phenotype_data looks just like the data found in the nature paper

https://www.nature.com/articles/nprot.2016.095

and I followed exactly the protocol for Using StringTie with DESeq2.