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从数据到BRC-Analytics浏览器中的发布:编码的进化动态在麻疹病毒中的重叠

Anton Nekrutenko¹, Danielle Callan², Marius Van Den Beek¹

¹Dept. of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.

bioRxiv : the preprint server for biology

|November 24, 2025

概括

BRC-analytics将基因组数据和分析工具集成到网页浏览器中,提高了病原体研究的可复制性. 这个平台简化了复杂的基因组分析从数据到出版的所有研究人员.

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:

病原体基因组分析面临着透明度和可重复性方面的挑战,原因是数据源和工具的碎片化.
整合多样化的基因组数据和分析工作流仍然是研究人员面临的重大障碍.

研究的目的:

引入BRC-analytics,一个统一的基于浏览器的环境,用于病原体基因组分析.
展示该平台在分析复杂的病毒基因组区域和促进可再生性的实用性.
为更广泛的研究社区提高先进的病原体基因组学的可访问性.

主要方法:

开发了BRC-analytics,一个公共的,基于浏览器的计算基础设施.
综合权威基因组数据源和社区策划的分析实践.
利用BRC分析来分析麻疹病毒P/V/C位点的进化动态,包括通过JupyterLite笔记本和LLMs进行变体调用和解释.

主要成果:

在BRC-analytics中完全成功地分析了麻疹病毒P/V/C位点的进化动态.
在不同的选择性压力下,揭示了位置的阅读框架的不对称进化.
演示了简化数据发布工作流程,消除了本地安装和手动数据传输.

结论:

BRC-analytics为病原体基因组研究提供了一个统一,可复制和可访问的平台.
该平台简化了从数据收集到出版的复杂分析,促进了更广泛的科学参与.
促进先进的基因组分析和解释,提高现场透明度和可复制性.

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