Hello everyone, I have a question about values generated with rlog

We use the implemented transformation rlog to show HeatMap with the most variable genes among groups/samples, and my question is: are this genes, lets say the top 1000 gene significant in terms of p-value? If I want to see which genes are more expressed between groups can I use the output of the HeatMap?

or it's better to use the final analysis from DESeq2 without any further transformation?

Thank you

Take a look at the text that starts here

https://bioconductor.org/packages/release/workflows/vignettes/rnaseqGene/inst/doc/rnaseqGene.html#exploratory-analysis-and-visualization

Also the text starting here

https://bioconductor.org/packages/release/bioc/vignettes/DESeq2/inst/doc/DESeq2.html#data-transformations-and-visualization