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RSeQC: quality control of RNA-seq experiments

by: Liguo Wang, Shengqin Wang, Wei Li
Bioinformatics, Vol. 28, No. 16. (15 August 2012), pp. 2184-2185, doi:10.1093/bioinformatics/bts356  Key: citeulike:10840455

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Abstract

Motivation: RNA-seq has been extensively used for transcriptome study. Quality control (QC) is critical to ensure that RNA-seq data are of high quality and suitable for subsequent analyses. However, QC is a time-consuming and complex task, due to the massive size and versatile nature of RNA-seq data. Therefore, a convenient and comprehensive QC tool to assess RNA-seq quality is sorely needed.


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