Illumina测序中的错误率监测。

Leigh J. Manley, Duanduan Ma, S. Levine
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引用次数: 61

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个持续的挑战。Illumina NextSeq 500的推出和Illumina测序分析查看器(SAV)特定指标的贬值;Illumina, San Diego, CA, USA)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,我们已经创建了一个开源工具来构建百分比完美读取(PPR)图,之前由Illumina测序仪提供。PPR程序与HiSeq 2000/2500, MiSeq和NextSeq 500仪器兼容,并为确定运行质量提供了Illumina质量值(Q)分数的替代方案。虽然Q分数是运行质量的代表,但它们经常被高估,并且来自每个平台的不同查找表。PPR作为跨仪器比较设备、故障排除工具和监测仪器性能的工具,具有独特的功能,可以提高SAV指标的清晰度,而SAV指标通常对维持仪器健康至关重要。突出显示了这些功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring Error Rates In Illumina Sequencing.
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.
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