… concerns five normalization methods widely used for normalization of RNA-seq data: Trimmed
… Our goal was to find out how normalization methods affect differential expression results. …

… RNA-Seq data normalization for differential gene expression … estimations of ratios of gene
expressions, and consequently to … of the most widespread normalization methods together with …

… is correct when the relationship between normalized read counts is correct. … of gene expression
is never measured, we consider the true expression of a gene to be the amount of mRNA/…

… Normalization of RNA-sequencing (RNA-seq) data has proven essential to … of expression
levels. Here, we show that usual normalization approaches mostly account for sequencing …

… the normalization results from RNA-Seq and MAQC qRT-PCR values for 996 genes.
Based on this work, we showed that out of the eight non-abundance estimation normalization …

… the detection of differential gene expression among the factors we … normalization methods,
and two statistical approaches using our data set. We assessed differential gene expression …

… to assess the validity of normalization methods applied to a … RNASeq normalization
procedures and concluded that transcripts per million (TPM) was the best performing normalization …

… (per-gene normalization after per-sample median or upper-quartile global scaling). Our
per-gene normalization … , we performed differential gene expression analysis to evaluate these …

… expression analysis. We propose three simple within-lane gene-level GC-content normalization
approaches and assess their performance on two different RNA-Seq datasets, involving …

… RNA-seq datasets with small sample replicates, we found that UQ-pgQ2 normalization …
better performance in term of power and specificity in differential gene expression analysis. …