Hi MEME Suite team,
I have been using the discriminative mode of MEME to discover motifs that are enriched in my primary sequence set relative to the control set (using zoops as site distribution, and 0-order as background model).
In many of the cases, MEME returned significant motifs with very low E-values.
However, when I took the discovered motifs from MEME and ran them across SEA (using the same primary and control sequence sets as I did with MEME, and all other parameters as default), most of the motifs turned out to be not significantly enriched.
Is this something I should be expecting? Or are there some parameters I set incorrectly?
Thank you.
Best,
Samuel