Hello,

I would like to use DeSeq2 to analyze time series data obtained using targeted RNAseq, instead of genome-wide RNAseq. These data are already normalized -- the need to adjust for transcript length, etc., is not relevant. I fully appreciate the normalization tools included in the DeSeq2 (and Limma) packages as I have used these in the past for microarrays and RNAseq, but I need to bypass them for my current dataset. Is there a way to load data that are already normalized into DeSeq2 and use the time-series-related modules that are nicely spelled out in the tutorials?

thanks! Brynn

Code should be placed in three backticks as shown below

# include your problematic code here with any corresponding output 
# please also include the results of running the following in an R session 

sessionInfo( )

It is probably easiest to transform these data to log2 and use limma-trend, see limma manual.