ArticleComputational and structural biotechnology journal2020
NormQ: RNASeq normalization based on RT-qPCR derived size factors.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Unraveling the Molecular Mechanism of Bider Marking Formation in Dun Mongolian Horses Through Transcriptome Sequencing.Animals : an open access journal from MDPI · 2026Article
- Comparison of RNA localization during oogenesis withinFrontiers in cell and developmental biology · 2022Article
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9 authors.
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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.
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