Broad distribution spectrum from Gaussian to power law appears in stochastic variations in RNA-seq data.

ABSTRACT: Gene expression levels exhibit stochastic variations among genetically identical organisms under the same environmental conditions. In many recent transcriptome analyses based on RNA sequencing (RNA-seq), variations in gene expression levels among replicates were assumed to follow a negative binomial distribution, although the physiological basis of this assumption remains unclear. In this study, RNA-seq data were obtained from Arabidopsis thaliana under eight conditions (21-27 replicates), and the characteristics of gene-dependent empirical probability density function (ePDF) profiles of gene expression levels were analyzed. For A. thaliana and Saccharomyces cerevisiae, various types of ePDF of gene expression levels were obtained that were classified as Gaussian, power law-like containin

SUBMITTER: Awazu A 

PROVIDER: S-EPMC5974282 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature