概括
我们开发了mSigSDK,这是一个用于浏览器内突变签名分析的JavaScript工具包. 这使得无需下载的患者数据能够进行可扩展的私人分析,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
- 基因组学就是基因组学.
背景情况:
- 突变特征分析对于理解癌症发展至关重要.
- 之前的方法需要下载并损害数据隐私.
- 需要对个体患者数据进行可扩展,安全的分析.
结论:
- mSigSDK提高了突变特征分析的可访问性和可扩展性.
- 便于与现有资源 (如mSig Portal,SIGNAL和COSMIC) 进行集成.
- 推动了对突变特征研究的数据共享的开发.
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