Multi-perspective quality control of Illumina RNA sequencing data analysis

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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.

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Sheng, Q., Vickers, K., Zhao, S., Wang, J., Samuels, D. C., Koues, O., … Guo, Y. (2017). Multi-perspective quality control of Illumina RNA sequencing data analysis. Briefings in Functional Genomics, 16(4), 194–204. https://doi.org/10.1093/bfgp/elw035

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