Identifying Actively Expressed Genes in RNA-seq Gene Expression Studies
This article presents the publication of Hart et al., in BMC Genomics 2017, entitled: "Finding the active genes in deep RNA-seq gene expression studies".
The authors shows that human cell’s transcriptome can be divided into active and repressed genes.
They provide a novel normalization metric, zFPKM, that identifies the threshold between active and background gene expression; and they show that this threshold is robust to experimental and analytical variations.
The authors recommends using zFPKM > -3 to select expressed genes.
A Bioconductor R package, zFPKM (https://github.com/ronammar/zFPKM), is available for finding the actively expressed genes.
The authors shows that human cell’s transcriptome can be divided into active and repressed genes.
They provide a novel normalization metric, zFPKM, that identifies the threshold between active and background gene expression; and they show that this threshold is robust to experimental and analytical variations.
The authors recommends using zFPKM > -3 to select expressed genes.
A Bioconductor R package, zFPKM (https://github.com/ronammar/zFPKM), is available for finding the actively expressed genes.