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


ABSTRACT: The merit of RNASeq data relies heavily on correct normalization. However, most methods assume that the majority of 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 the RNASeq library size, using the relative proportion observed from RT-qPCR of selected marker genes. The method was compared against the popular median-of-ratios method, using simulated and real-datasets. NormQ produced more matches to differentially expressed genes in the simulated dataset and more distribution profile matches for both simulated and real datasets.

SUBMITTER: Naraine R 

PROVIDER: S-EPMC7264052 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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

Naraine Ravindra R   Abaffy Pavel P   Sidova Monika M   Tomankova Silvie S   Pocherniaieva Kseniia K   Smolik Ondrej O   Kubista Mikael M   Psenicka Martin M   Sindelka Radek R  

Computational and structural biotechnology journal 20200514


The merit of RNASeq data relies heavily on correct normalization. However, most methods assume that the majority of 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 the RNASeq library size, using the relative proportion observed from RT-qPCR of selected marker genes. The method was compared against the popular median-of-ratios method, usi  ...[more]

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