CaSpER identifies and visualizes CNV events by integrative analysis of single-cell or bulk RNA-sequencing data

Abstract

RNA-sequencing is mostly used to assess gene expression; however, it can also give information about genetic variants. Here, the authors present CaSpER, a statistical framework that utilises RNA-sequencing reads to identify and visualise CNV events by integrating transcriptome-wide expression and allelic shift profiles.