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Hello,
I have nanopore DRS data for my plant sample. My samples are sequenced using RNA004 chemistry.
But as there is non-availability of RNA004 based model for plant, i used the RNA002 based arabidopsis model for the prediction using the "inference" command.
The number of predicted sites after >0.9 (prob_modified) cutoff is very low (3000 per sample) is very concerning to me.
As i have almost 15 million DRS reads per sample.
is this by chance/true or anything wrong in my analysis?
The text was updated successfully, but these errors were encountered:
RNA002 and RNA004 chemistries differ quite a bit, so the RNA002 model is unlikely able to detect m6A sites in RNA004 samples (we tested this on human). We do not have an RNA004 Arabidopsis model.
Hello,
I have nanopore DRS data for my plant sample. My samples are sequenced using RNA004 chemistry.
But as there is non-availability of RNA004 based model for plant, i used the RNA002 based arabidopsis model for the prediction using the "inference" command.
The number of predicted sites after >0.9 (prob_modified) cutoff is very low (3000 per sample) is very concerning to me.
As i have almost 15 million DRS reads per sample.
is this by chance/true or anything wrong in my analysis?
The text was updated successfully, but these errors were encountered: