Hi there,
I'm trying to find out what is an acceptable way of normalizing microRNA deep sequencing data.
We have a number of samples (biological replicates). I would like to see which known micrornas are expressed in these. We are also running more experiments under various conditions and I'd like to compare these with the baseline experiments.
I have found two methods - TPM and dividing by the total number of reads in the library.
Does anyone have ideas/experience with this?
Thanks!
I'm trying to find out what is an acceptable way of normalizing microRNA deep sequencing data.
We have a number of samples (biological replicates). I would like to see which known micrornas are expressed in these. We are also running more experiments under various conditions and I'd like to compare these with the baseline experiments.
I have found two methods - TPM and dividing by the total number of reads in the library.
Does anyone have ideas/experience with this?
Thanks!