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mSigSDK - 对突变特征的私有计算

Aaron Ge^1,2, Tongwu Zhang¹, Yasmmin Côrtes Martins³

¹-Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Maryland, USA.

Research square

|September 15, 2025

概括

我们开发了mSigSDK,一个JavaScript软件开发工具包 (SDK),用于浏览器内突变签名分析. 该工具可以在没有下载的情况下对患者数据进行安全的私人分析,从而提高了癌症研究的可访问性.

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
网络技术网络技术

背景情况:

之前的工作确立了保护隐私的突变签名分析在没有下载的情况下的可行性.
在突变签名分析中需要可访问的工具来编排分布式数据处理和可视化.

研究的目的:

开发一个名为mSigSDK的浏览器内软件开发套件 (SDK).
为了促进分布式数据处理工作流程和对突变签名分析结果的可视化.
确保对个体患者数据进行安全,私密和可访问的分析.

主要方法:

使用现代网络计算标准 (ECMAScript ES6模块) 开发了mSigSDK.
通过对用户机器资源的安全委托实现了浏览器内计算.
专注于FAIR (可找到,可访问,可互操作,可重复使用) 的可扩展性.

主要成果:

mSigSDK 能够完全在浏览器内进行突变签名分析.
该SDK支持分布式数据处理和图形可视化.
分析在用户的本地机器上安全地执行,无需下载或安装.

结论:

mSigSDK为突变签名分析提供了一个安全,私有和高效的平台.
通过消除下载要求,SDK提高了研究人员的可访问性.
mSigSDK是可扩展的,旨在支持与其他突变签名API生态系统的集成,促进研究的数据共享.

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