Abstract
The fine detail provided by sequencing-based transcriptome surveys
suggests that RNA-seq is likely to become the platform of choice
for interrogating steady state RNA. In order to discover biologically
important changes in expression, we show that normalization continues
to be an essential step in the analysis. We outline a simple and
effective method for performing normalization and show dramatically
improved results for inferring differential expression in simulated
and publicly available data sets.
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