Is it possible to do a DESeq2 in R out of a .xlsx data? If not, which kind of format do i need? my data is available in the following matrix:
gen a... b.. b...
patient
1.. counted reads
2... counted reads
3... counted reads
thanks for any kind of help!

thank you for that advice, but i could`t use that script well, because my data are different...
My data is a gene expression analysis in which the frequency of 549 different genes was measured in 24 test persons... i.e. independent raw data (counts)
is it even possible to make a DeSeq2-normalisation with this data?
when i summarized my data it shows up like this (:
You will need to collaborate with a bioinformatician or someone familiar with R/Bioconductor. It should be straightforward to take the approach I outlined below, exporting CSV and importing using the information in the count matrix input section.
The support site is for specific questions about software, but here you just need to closely read the vignette or the workflow, or instead work with someone who can help out with loading the data into R.
because i have 0 colData names...