RNA-SeQC 2: efficient RNA-seq quality control and quantification for large cohorts

A Summary: Post-sequencing quality control is a crucial component of RNA sequencing (RNA-seq) data generation and analysis, as sample quality can be affected by sample storage, extraction and sequencing protocols. RNA-seq is increasingly applied to cohorts ranging from hundreds to tens of thousands of samples in size, but existing tools do not readily scale to these sizes, and were not designed for a wide range of sample types and qualities. Here, we describe RNA-SeQC 2, an efficient reimplementation of RNA-SeQC (DeLuca et at., 2012) that adds multiple metrics designed to characterize sample quality across a wide range of RNA-seq protocols.

Automated summary

Post-sequencing quality control is crucial for RNA-seq data analysis, and RNA-SeQC 2 provides an efficient way to assess sample quality across a wide range of RNA-seq protocols.