Multi-perspective quality control of Illumina RNA sequencing data analysis

Q Sheng, K Vickers, S Zhao, J Wang… - Briefings in …, 2017 - academic.oup.com
Briefings in functional genomics, 2017academic.oup.com
Quality control (QC) is a critical step in RNA sequencing (RNA-seq). Yet, it is often ignored or
conducted on a limited basis. Here, we present a multi-perspective strategy for QC of RNA-
seq experiments. The QC of RNA-seq can be divided into four related stages:(1) RNA
quality,(2) raw read data (FASTQ),(3) alignment and (4) gene expression. We illustrate the
importance of conducting QC at each stage of an RNA-seq experiment and demonstrate our
recommended RNA-seq QC strategy. Furthermore, we discuss the major and often …
Abstract
Quality control (QC) is a critical step in RNA sequencing (RNA-seq). Yet, it is often ignored or conducted on a limited basis. Here, we present a multi-perspective strategy for QC of RNA-seq experiments. The QC of RNA-seq can be divided into four related stages: (1) RNA quality, (2) raw read data (FASTQ), (3) alignment and (4) gene expression. We illustrate the importance of conducting QC at each stage of an RNA-seq experiment and demonstrate our recommended RNA-seq QC strategy. Furthermore, we discuss the major and often neglected quality issues associated with the three major types of RNA-seq: mRNA, total RNA and small RNA. This RNA-seq QC overview provides comprehensive guidance for researchers who conduct RNA-seq experiments.
Oxford University Press