DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis
Posted on 2019-04-16 - 05:00
Abstract RNA degradation affects RNA-seq quality when profiling transcriptional activities in cells. Here, we show that transcript degradation is both gene- and sample-specific and is a common and significant factor that may bias the results in RNA-seq analysis. Most existing global normalization approaches are ineffective to correct for degradation bias. We propose a novel pipeline named DegNorm to adjust the read counts for transcript degradation heterogeneity on a gene-by-gene basis while simultaneously controlling for the sequencing depth. The robust and effective performance of this method is demonstrated in an extensive set of simulated and real RNA-seq data.
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Xiong, Bin; Yang, Yiben; Fineis, Frank; Wang, Ji-Ping (2019). DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4473905.v1
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