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Alpseq:一个开源的工作流程,以轮增压纳米体的发现,高通量测序

Kathleen Zeglinski^1,2, Jakob Schuster^1,2, Jaison D Sa^1,2

¹Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.

|February 3, 2026

概括

我们开发了alpseq,这是一个开源的生物信息管道,用于分析纳米体下一代测序数据. 这种工具简化了从纳米体库和选活动中处理大型数据集的过程,有助于候选发现.

科学领域:

生物技术和生物信息学
免疫学和分子生物学

背景情况:

纳米体为生物技术应用提供了小尺寸和高特异性等优势.
分析大型纳米体下一代测序 (NGS) 数据集对生物信息学提出了重大挑战.
现有的方法难以应对纳米体NGS数据的规模和多样性.

研究的目的:

开发一个高效和准确的开源软件管道来处理纳米体NGS数据.
为研究人员提供一个用户友好的工具,用于分析纳米体库和选活动.
为了便于确定纳米体候选人进行实验验证.

主要方法:

开发了alpseq,这是一个优化的开源软件管道,使用Nextflow进行预处理,以及用于质量控制,多样性分析,丰富识别和集群的分析模块.
将管道与无PCR测序库准备协议配对,以最大限度地减少偏差.
实现了一个用户友好的交互式报告,用于数据探索和支持复杂的泛化活动设计.

主要成果:

该alpseq管道有效地处理原始纳米体,读取和分析NGS数据.
该软件提供全面的质量控制,多样性指标,并识别了丰富的序列.
交互式报告可以轻松地探索结果,包括从复杂的分析实验中识别交叉绑定线索.

结论:

alpseq为纳米体NGS数据分析提供了一种高效,准确和用户友好的解决方案.
该管道有助于理解纳米体选择过程和发现主要候选人.
alpseq赋予不同生物信息学背景的研究人员有效分析他们的纳米体数据的权力.

关键词:

生物信息学是一种生物信息学.这就是Illumina Illumina.下一个流程下一个流程生物学的生物学.生物扫描可以进行生物扫描.显示技术的显示技术纳米体是一种纳米体.这是下一代测序.

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