Literature DB >> 27687708

Multi-perspective quality control of Illumina RNA sequencing data analysis.

Quanhu Sheng, Kasey Vickers, Shilin Zhao, Jing Wang, David C Samuels, Olivia Koues, Yu Shyr, Yan Guo.   

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.
© The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  RNA-seq; alignment; gene expression; quality control; raw data; small RNA-seq; total RNA-seq

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Year:  2017        PMID: 27687708      PMCID: PMC5860075          DOI: 10.1093/bfgp/elw035

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


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