You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am wanting to see if it is possible to use more than the 300 read limit hard coded into the DMR command? Or, if there is a particular reason for the 300 read limit. I am looking for some potentially rare events and feel that 300 reads isn't capturing enough information. This is the error I get when I try to increase the max coverage to 300k reads:
calculated max coverage 300000 is greater than maximum allowed (300), setting to 300
Thanks!
The text was updated successfully, but these errors were encountered:
Let me look into it. The limit is due to the MAP-based p-value becoming unstable if you have very high coverages (as the p-value becomes zero). I'm sure I could add an option that removes the limit and disables the MAP-based p-value calculation - would that get you what you need? You would still get the score, effect, size, measurements of methylation etc.
Thanks for your response @ArtRand . I think the approach you described could be informative for the research question I am addressing. Thank you for offer to implement this change. Please let me know when you update it and how to use the options.
Do you think a different statistical test or model could be used to assess modification changes with higher coverages? If so, is this something that could be implemented?
Hello,
I am wanting to see if it is possible to use more than the 300 read limit hard coded into the DMR command? Or, if there is a particular reason for the 300 read limit. I am looking for some potentially rare events and feel that 300 reads isn't capturing enough information. This is the error I get when I try to increase the max coverage to 300k reads:
Thanks!
The text was updated successfully, but these errors were encountered: