Systematic identification of intron retention associated variants from massive publicly available transcriptome sequencing data

Abstract

This paper proposed a novel in-silico framework for automatically screening disease-related variants and applied it to over 200,000 transcriptomes, providing an example to acquire medically relevant knowledge from publicly available sequence data.