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皮萨德 (PISAD):基于k-mer计数的无参考物种内部样本异常检测工具

Zhantian Xu^1,2,3, Fan Nie⁴, Jianxin Wang^1,2,3,5

¹School of Computer Science and Engineering, Central South University, Changsha 410083, China.

|June 17, 2025

概括

基因组测序中的样本交换是一个主要问题. PISAD (分阶段内类样本异常检测) 是一种新的工具,在不需要参考信息的情况下验证全基因组测序数据中的样本身份,使其广泛适用.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

基因组测序涉及分析各种数据类型,冒着样本错误标记的风险.
目前的方法需要种群参考,这对于许多物种是不可用的.
强大的质量控制工具对于将基因组研究扩展到新物种至关重要.

研究的目的:

开发一种无引用的工具,用于验证全基因组测序数据中的样本身份.
解决现有方法对非模型生物的局限性.
提高基因组数据分析的准确性和可靠性.

主要方法:

开发了PISAD (分阶段内类样本异常检测),一种新的两阶段方法.
阶段1:无参考单核酸多态 (SNP) 要求从低误差数据创建一个变异素描.
第二阶段:评估样本对变体草图的一致性,以验证关系.

主要成果:

PISAD有效地验证了多种物种的样本身份,包括智人,牛,,Arctia plantaginis和Pyrus物种.
与基于参考的方法相比,该工具的数据覆盖率要少得多 (0.5×).
已证明对各种双胞体物种具有广泛适用性.

结论:

在全基因组测序中,PISAD为样本身份验证提供了一个强大的,无引用的解决方案.
该工具克服了现有方法的局限性,特别是对于非模型生物.
通过尽量减少样本交换错误,PISAD提高了基因组研究的可靠性.

关键词:

在K-MER分析中,美国国民党打电话给你质量控制质量控制质量控制没有参考的无参考.样本交换交易所样本交换交易所

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