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Updated: Jan 13, 2026

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scDNA:用于亚克隆性发现和评估的单细胞DNA分析软件工具包

Michael Bowman, Shreeya Gounder, Varsha Singh

bioRxiv : the preprint server for biology

|January 9, 2026

概括

单细胞多组体揭示了癌症.

科学领域:

基因组学就是基因组学.
癌症生物学癌症生物学
计算生物学计算生物学

背景情况:

单细胞多组技术使得基因型-免疫型-表因型关系和癌症中的克隆进化能够进行详细的分析.
了解亚克隆动态和遗传驱动因素对于癌症进展的洞察至关重要.
需要可访问的计算工具来处理和分析日益增长的单细胞数据量.

研究的目的:

介绍scDNA包,一个用户友好的计算工具,用于单细胞DNA分析.
提供单细胞分子分析数据的快速分析.
为了促进样本质量控制,亚克隆架构的确定和突变轨迹的分析.

主要方法:

开发用于单细胞DNA分析的scDNA包.
实施用于质量控制,解复,复制数变异分析和突变排序的功能.
基于维涅特的演示,使用血液形成数据集.

主要成果:

scDNA包提供了单细胞分子分析的快速分析.
它提供诊断摘要,亚克隆架构和突变轨迹分析.
在血液形成数据集中展示了其实用性,展示了其在理解克隆进化中的应用.

结论:

scDNA包是一个模块化和用户友好的框架,用于单细胞DNA分析.
它支持各种下游分析,并与现有的软件管道集成.
有助于更深入地了解基因型-免疫型-表因型关系和癌症进展.

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