通过标准,基础设施和社区参与,共享来自人类瘤地图网络的数据
Ino de Bruijn1, Milen Nikolov2, Clarisse Lau3
1Memorial Sloan Kettering Cancer Center, New York, NY, USA. debruiji@mskcc.org.
Nature methods
|March 31, 2025
概括
人类瘤图谱网 (HTAN) 发布了来自2000多名参与者的大量癌症数据. 这种宝贵的资源支持研究癌前和晚期疾病进化的研究.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 人类瘤图谱网络 (HTAN) 旨在全面地绘制人类瘤.
- 了解癌症从癌前期到晚期的演变对于开发有效疗法至关重要.
研究的目的:
- 宣布第一阶段HTAN数据的可用性.
- 描述数据集,访问方法,标准,基础设施和社区参与策略.
- 促进复杂的癌症研究数据的再利用.
主要方法:
- 在8,425个生物标本中使用超过20个分子分析生成数据.
- 通过HTAN门户和Synapse平台传播和访问数据.
- 通过可视化工具 (CellxGene,Minerva,cBioPortal) 和云分析 (NCI癌症研究数据共享) 进行数据探索.
主要成果:
- 从2,042名研究参与者那里获得一个大型的多原子数据集的可用性.
- 建立了用于数据摄入,传播和重复使用的基础设施.
- 数据标准和治理方法的开发.
结论:
- 该HTAN数据发布为癌症研究提供了丰富的资源.
- 描述的基础设施和传播策略为未来的数据协调工作提供了一个模型.
- 鼓励研究人员利用HTAN数据了解癌症演变.
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