Could you give us some more insight on how to interpret the results from xPore 2.0? The info in #30 is helpful, but now you have given us the possibility of not including an unmodified or knockout sample.
Without providing a KO or unmodified sample: for one NNANN, if there is a methylation on A in all treatments, is it correct that we would not be able to identify the modified site using xPore?
From our understanding, we can see that in certain DRACH motifs we have differential methylation across treatments, but with the lack of a demethylated sample we were wondering if we can identify whether treatment X has a modified site and treatments Y and Z do not have a modified site, or if it were the other way around.
When it comes to mod_assignment, could you give us more information on how to interpret lower or higher?
Hi @ploy-np,
Could you give us some more insight on how to interpret the results from xPore 2.0? The info in #30 is helpful, but now you have given us the possibility of not including an unmodified or knockout sample.
Without providing a KO or unmodified sample: for one NNANN, if there is a methylation on A in all treatments, is it correct that we would not be able to identify the modified site using xPore?
From our understanding, we can see that in certain DRACH motifs we have differential methylation across treatments, but with the lack of a demethylated sample we were wondering if we can identify whether treatment X has a modified site and treatments Y and Z do not have a modified site, or if it were the other way around.
When it comes to mod_assignment, could you give us more information on how to interpret lower or higher?
Thank you in advance!