Coordinated analysis of exon and intron data reveals novel differential gene expression changes.

ABSTRACT: RNA-Seq expression analysis currently relies primarily upon exon expression data. The recognized role of introns during translation, and the presence of substantial RNA-Seq counts attributable to introns, provide the rationale for the simultaneous consideration of both exon and intron data. We describe here a method for the coordinated analysis of exon and intron data by investigating their relationship within individual genes and across samples, while taking into account changes in both variability and expression level. This coordinated analysis of exon and intron data offers strong evidence for significant differences that distinguish the profiles of the exon-only expression data from the combined exon and intron data. One advantage of our proposed method, called matched change character

SUBMITTER: Eghbalnia HR 

PROVIDER: S-EPMC7515875 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature