NormQ: RNASeq normalization based on RT-qPCR derived size factors

• DOI: 10.1016/j.csbj.2020.05.010
• Publication Date: 2020-05-14T20:25:04Z
• Authors: Ravindra Naraine; Pavel Abaffy; Monika Sidova; Silvie Tomankova; Kseniia Pochernia...; Ondrej Smolik; Mikael Kubista; Martin Psenicka; Radek Sindelka
• Keywords: Normalization

The merit of RNASeq data relies heavily on correct normalization. However, most methods assume that the majority transcripts show no differential expression between conditions. This assumption may not always be correct, especially when one condition results in overexpression. We present a new method (NormQ) to normalize library size, using relative proportion observed from RT-qPCR selected marker genes. was compared against popular median-of-ratios method, simulated and real-datasets. NormQ produced more matches differentially expressed genes dataset distribution profile for both real datasets.