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新一代测序仪:Life Technology 公司 Proton 测序仪与 Illumina HiSeq 系统在全外显子组测序中的比较。

The new sequencer on the block: comparison of Life Technology's Proton sequencer to an Illumina HiSeq for whole-exome sequencing.

机构信息

Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 8717 Grovemont Circle, Gaithersburg, MD, 20877, USA,

出版信息

Hum Genet. 2013 Oct;132(10):1153-63. doi: 10.1007/s00439-013-1321-4. Epub 2013 Jun 12.

Abstract

We assessed the performance of the new Life Technologies Proton sequencer by comparing whole-exome sequence data in a Centre d'Etude du Polymorphisme Humain trio (family 1463) to the Illumina HiSeq instrument. To simulate a typical user's results, we utilized the standard capture, alignment and variant calling methods specific to each platform. We restricted data analysis to include the capture region common to both methods. The Proton produced high quality data at a comparable average depth and read length, and the Ion Reporter variant caller identified 96 % of single nucleotide polymorphisms (SNPs) detected by the HiSeq and GATK pipeline. However, only 40 % of small insertion and deletion variants (indels) were identified by both methods. Usage of the trio structure and segregation of platform-specific alleles supported this result. Further comparison of the trio data with Complete Genomics sequence data and Illumina SNP microarray genotypes documented high concordance and accurate SNP genotyping of both Proton and Illumina platforms. However, our study underscored the problem of accurate detection of indels for both the Proton and HiSeq platforms.

摘要

我们通过将 Centre d'Etude du Polymorphisme Humain 三人家族(1463 号)的全外显子组序列数据与 Illumina HiSeq 仪器进行比较,评估了新的 Life Technologies Proton 测序仪的性能。为了模拟典型用户的结果,我们利用了针对每个平台的标准捕获、比对和变异调用方法。我们将数据分析限制在包含两种方法共有的捕获区域内。Proton 以可比的平均深度和读取长度产生了高质量的数据,而 Ion Reporter 变体调用器识别了 HiSeq 和 GATK 管道检测到的 96%的单核苷酸多态性 (SNP)。然而,只有 40%的小插入和缺失变异(indels)被两种方法同时识别。使用三人家族结构和平台特异性等位基因的分离支持了这一结果。进一步将三人家族数据与 Complete Genomics 序列数据和 Illumina SNP 微阵列基因型进行比较,证明了 Proton 和 Illumina 平台的 SNP 基因分型具有高度一致性和准确性。然而,我们的研究强调了 Proton 和 HiSeq 平台都存在准确检测 indels 的问题。

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