Hello all,
I have been sequencing small non coding RNA using hiseq 100pb single paired
I then used mirdeep2 to analyse the miRNA portion
I blasted the sequences against the appropriate tRNA database to identifying tRNA fragments in my samples.
And here comes the question:
I first got my miRNA data and used DEseq2 to normalise it and highlight differential expression. But this kind of normalisation does not consider the size of each library/replicate when normalising, which make the comparison between miRNA and tRNAfragment portion not possible.
Is there a way to normalise both miRNA and tRNAfragment dataset for them to be comparable ? Would DEseq2 be OK ?
RPKM seems to be a way to normalise tRNAfragment data (doi:10.1186/s12915-014-0078-0 )
Thanks
I have been sequencing small non coding RNA using hiseq 100pb single paired
I then used mirdeep2 to analyse the miRNA portion
I blasted the sequences against the appropriate tRNA database to identifying tRNA fragments in my samples.
And here comes the question:
I first got my miRNA data and used DEseq2 to normalise it and highlight differential expression. But this kind of normalisation does not consider the size of each library/replicate when normalising, which make the comparison between miRNA and tRNAfragment portion not possible.
Is there a way to normalise both miRNA and tRNAfragment dataset for them to be comparable ? Would DEseq2 be OK ?
RPKM seems to be a way to normalise tRNAfragment data (doi:10.1186/s12915-014-0078-0 )
Thanks
Comment