Dear All,

I am PhD student, currently working on differential expression analysis of
my smallRNA library deep sequencing data and trying to identify
differentially expressed miRNAs, using edgeR package. I have 24 different
samples with 2 biological replicates (48 libraries).  I am performing
multiple group comparison using GLM method and also Anova-like test to
idetify DE miRNAs among the different groups of my samples.
My question is :

Do  I need to normalize my input data using *calcNormFactors() *once I set
my DGE list or I could  proceed without any normalization? I assume in this
case that edgeR  performs a default normallization when it  is "calculating
library sizes from column totals"?


I would really appreciate any suggestion on this!


Thanks in advance,


Daniela

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