Hi, Thank you for reading my question, this is my first post here and it is my very first time doing RNASeq analysis so, any help will be welcome.
I have a RNASeq data set of 6 samples with 3 replicates each. The samples correspond to 2 genotypes (R and S) and 3 times (t0, t12, t24) In my quest to obtain the differential expression genes (DEG). I like to compare the samples if I use the St0 as reference or if I use St0 and Rt0 as reference. In order to get the DEG I use DESeq2 R's Packages.
When I faced the analysis of using Rt0 as reference I start using only the count table with Rt0 Rt12 and Rt24.
I get 3464 DEG in Rt12 vs Rt0
But if I use the complete count table (St0 St12 St24 Rt0 Rt12 Rt24)
and compare the Rt12 vs Rt0 I get only 1038 genes.
In the design for DESeq analysis I use the colData with only the sample specified (St0 St12 St24 Rt0 Rt12 Rt24) and a formula = ~ sample
If anyone can guide me to understand this difference I will be very much pleased.
Thank you very much Now my question is How do I know which one is the best approach for me?
More data = better estimates