Population-Sequencing as a Biomarker for Sample Characterization.

Journal of biomarkers Pub Date : 2013-01-01 Epub Date: 2013-12-08 DOI:10.1155/2013/861823
John P Jakupciak
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引用次数: 4

Abstract

Sequencing is accepted as the "gold" standard for genetic analysis and continues to be used as a validation and reference tool. The idea of using sequence analysis directly for sample characterization has been met with skepticism. However, herein, utility of direct use of sequencing to identify multiple genomes present in samples is presented and reviewed. All samples and "pure" isolates are populations of genomes. Population-Sequencing is the use of probabilistic matching tools in combination with large volumes of sequence information to identify genomes present, based on DNA analysis across entire genomes to determine genome assignments, to calculate confidence scores of major and minor genome content. Accurate genome identification from mixtures without culture purification steps can achieve phylogenetic classification by direct analysis of millions of DNA fragments. Genome sequencing data of mixtures can function as biomarkers for use to interrogate genetic content of samples and to establish a sample profile, inclusive of major and minor genome components, drill down to identify rare SNP and mutation events, compare relatedness of genetic content between samples, profile-to-profile, and provide a probabilistic or statistical scoring confidence for sample characterization and attribution. The application of Population-Sequencing will facilitate sample characterization and genome identification strategies.

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群体测序作为样品表征的生物标志物。
测序被认为是遗传分析的“金”标准,并继续被用作验证和参考工具。直接使用序列分析进行样品表征的想法受到了怀疑。然而,本文提出并回顾了直接使用测序来鉴定样品中存在的多个基因组的效用。所有样本和“纯”分离株都是基因组群体。群体测序是利用概率匹配工具结合大量的序列信息来识别存在的基因组,基于整个基因组的DNA分析来确定基因组分配,计算主要和次要基因组内容的置信度分数。通过直接分析数以百万计的DNA片段,从混合物中进行精确的基因组鉴定,无需培养纯化步骤,即可实现系统发育分类。混合物的基因组测序数据可以作为生物标记物,用于询问样品的遗传含量,建立样品概况,包括主要和次要基因组成分,深入识别罕见的SNP和突变事件,比较样品之间遗传含量的相关性,概况到概况,并为样品表征和归因提供概率或统计评分置信度。群体测序技术的应用将有助于样品表征和基因组鉴定策略的制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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