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热力学模拟器用于在元基因组测序中的杂交捕获

Aidan Zhang¹, Christina Boucher², Noelle Noyes³

¹Ray and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213.

bioRxiv : the preprint server for biology

|December 22, 2025

概括

RAmpSim准确地模拟了基于捕获的元基因组学中的偏差,改进了数据分析. 这个工具模拟了诱杂交和碎片捕获,以更好地进行基准测试和诱集评估.

科学领域:

生物信息学是一种生物信息学.
计算生物学计算生物学
基因组学就是基因组学.

背景情况:

使用长读序列的杂交捕获对于元基因组分析至关重要.
现有的模拟器无法解释由诱多重性,序列组成和物种丰富性引入的系统偏差.

研究的目的:

介绍RAmpSim,一个基于捕获的元基因组测序的新型模拟器.
准确地建模诱目标杂交和碎片捕获中的偏差.

主要方法:

利用热力学近邻能量模型和博尔兹曼加权采样用于诱-目标结合.
采用多项抽样来生成碎片,包括诱度,结合能量和基因组丰度.
与现有的长读模拟器集成,以模拟平台特定的错误.

主要成果:

RAmpSim准确地复制了经验性的基因组内覆盖范围和跨物种丰富模式.
模拟的覆盖范围分布显示了使用地球移动器距离的统一基线的数量级改进.
分类分析表明,高覆盖率地区的召回率很高,表现优于统一的基线.

结论:

RAmpSim提供了一个高效和可解释的框架,用于模拟基于捕获的元基因组测序.
模拟器支持准确的基准测试和对套的评估.
通过考虑关键偏差,RAmpSim提高了元基因组数据分析的可靠性.

关键词:

放大放大放大放大阅读模拟模拟的阅读猎枪的元基因组学测序测序.热力学建模热力学建模

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