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测序质量控制项目的RNA测序可重复性评估

RNA-Seq Reproducibility Assessment of the Sequencing Quality Control Project.

作者信息

Yu Lianbo

机构信息

Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.

出版信息

Cancer Inform. 2020 May 20;19:1176935120922498. doi: 10.1177/1176935120922498. eCollection 2020.

Abstract

With the widespread RNA-seq applications of different sequencing platforms in biomedical science research in recent years, a systematic evaluation of RNA-seq data quality is crucial and timely. The Sequencing Quality Control (SEQC) project is a large-scale community effort for assessing the performance of RNA-seq technology across different platforms and multiple laboratories, where reference RNA samples with multiple replicates were sequenced at 12 laboratories using 3 sequencing platforms. Different from the SEQC project, we performed an independent and comprehensive analysis of RNA-seq data of the SEQC project to assess sequencing reproducibility across platforms, sequencing sites, sample replicates, and FlowCells, respectively. With the employment of graphical tools and statistical models, our systemic analysis supports a distinctive conclusion that reproducibility across platforms and sequencing sites are not acceptable, whereas reproducibility across sample replicates and FlowCells are acceptable.

摘要

近年来,随着不同测序平台的RNA测序(RNA-seq)在生物医学科学研究中的广泛应用,对RNA-seq数据质量进行系统评估至关重要且迫在眉睫。测序质量控制(SEQC)项目是一项大规模的社区工作,旨在评估RNA-seq技术在不同平台和多个实验室中的性能,其中多个重复的参考RNA样本在12个实验室使用3种测序平台进行了测序。与SEQC项目不同,我们对SEQC项目的RNA-seq数据进行了独立且全面的分析,以分别评估跨平台、测序位点、样本重复和流动槽的测序可重复性。通过使用图形工具和统计模型,我们的系统分析支持了一个独特的结论,即跨平台和测序位点的可重复性不可接受,而跨样本重复和流动槽的可重复性是可接受的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/568c/7241209/e851ca9f0925/10.1177_1176935120922498-fig1.jpg

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