Hi all,
I’m writing to ask your opinion. I’ve been ask to perform an miRNA DE analysis….so far so good. miRNA from tissue A vs miRNA from tissue B.
There is such a great difference between the concentration of miRNA in A vs B that I’m worried that if I do a straight DE analysis, my results will be biased. Some of the A samples have been sequenced up ~30M reads and barely have 100k miRNAs mapped where some of the Bs have ~5M reads and have 1M miRNAs mapped….
Do you know any way to factor this in? I was thinking of instead doing a miRNA DE analysis, I would do a smRNA analysis...then the proportions would be factored in because the A samples have a lot of smRNAs compared to B samples ...any thoughts?
Cheers!
0 answers
No answers yet.
Log in to answer this question.
-
Should differential expression analysis be incorporated in cross validation for training machine le…
written by yordany.perdigon •
-
RNA-seq, three comparisons - stick to one linear model, or use separate models?
written by noodlejackson •
-
Extract reads that didn't contribute to miRNAs following miRDeep2 analysis
written by jammydodger123456 •
-
How to Perform Differential Expression Analysis Between Two Species' Transcriptomes?
written by PALA •
-
Problems with QIAseq spike-in normalization
written by lluc.cabus •
-
Is removing rRNAs, tRNAs, etc really a necessary step in the miRNA analysis?
written by tianshenbio
-
Very low alignment rate for miRNAs reads against known miRNAs from mirbase
written by LynxLynx •
-
Appropriate DESeq2 design for multi-factor comparison within group?
written by halo22
-
differential expression of miRNA
written by kamyasingh90 •
-
transcription factor /miRNA enrichment analysis
written by ramyabhargavi •
