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监测Illumina测序中的错误率。

Monitoring Error Rates In Illumina Sequencing.

作者信息

Manley Leigh J, Ma Duanduan, Levine Stuart S

机构信息

BioMicro Center, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

出版信息

J Biomol Tech. 2016 Dec;27(4):125-128. doi: 10.7171/jbt.16-2704-002. Epub 2016 Sep 16.

Abstract

Guaranteeing high-quality next-generation sequencing data in a rapidly changing environment is an ongoing challenge. The introduction of the Illumina NextSeq 500 and the depreciation of specific metrics from Illumina's Sequencing Analysis Viewer (SAV; Illumina, San Diego, CA, USA) have made it more difficult to determine directly the baseline error rate of sequencing runs. To improve our ability to measure base quality, we have created an open-source tool to construct the Percent Perfect Reads (PPR) plot, previously provided by the Illumina sequencers. The PPR program is compatible with HiSeq 2000/2500, MiSeq, and NextSeq 500 instruments and provides an alternative to Illumina's quality value (Q) scores for determining run quality. Whereas Q scores are representative of run quality, they are often overestimated and are sourced from different look-up tables for each platform. The PPR's unique capabilities as a cross-instrument comparison device, as a troubleshooting tool, and as a tool for monitoring instrument performance can provide an increase in clarity over SAV metrics that is often crucial for maintaining instrument health. These capabilities are highlighted.

摘要

在快速变化的环境中保证高质量的下一代测序数据是一项持续的挑战。Illumina NextSeq 500的推出以及Illumina测序分析查看器(SAV;Illumina,美国加利福尼亚州圣地亚哥)中特定指标的贬值使得直接确定测序运行的基线错误率变得更加困难。为了提高我们测量碱基质量的能力,我们创建了一个开源工具来构建完美读取百分比(PPR)图,该图以前由Illumina测序仪提供。PPR程序与HiSeq 2000/2500、MiSeq和NextSeq 500仪器兼容,并为Illumina的质量值(Q)分数提供了一种替代方法,用于确定运行质量。虽然Q分数代表运行质量,但它们往往被高估,并且每个平台都来自不同的查找表。PPR作为跨仪器比较设备、故障排除工具和监测仪器性能工具的独特功能,可以比SAV指标提供更高的清晰度,这对于维护仪器健康通常至关重要。这些功能得到了突出强调。

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