组织到字节:一种催化数字双子平台,用于在BRAIN倡议细胞图谱网络中集团规模整合单细胞数据
bioRxiv : the preprint server for biology
|January 23, 2026
概括
基于神经解剖学的信息管理平台 (NIMP) 使用数字双胞胎模型来管理NIH BRAIN倡议细胞地图网络 (BICAN) 的复杂数据. 这种方法确保了人类大脑细胞图谱的FAIR数据原则,促进了对大脑功能和疾病的研究.
科学领域:
- 神经科学是一个神经科学.
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 美国国家卫生研究院的大脑倡议细胞地图网络 (BICAN) 旨在创建参考人类大脑细胞地图.
- 协调稀缺的人类大脑组织,并在多个中心建立FAIR数据标准,面临重大挑战.
研究的目的:
- 为了在BICAN联盟内运行一个数字双胞胎范式来管理复杂的数据生产工作流程.
- 实施基于神经解剖学的信息管理平台 (NIMP),以在联盟规模上进行整合,协作和FAIR数据生成.
主要方法:
- 开发并实施基于数字双胞胎范式的神经解剖学信息管理平台 (NIMP).
- 集成实体实验室工作流与数字对应流,确保数据来源和可追溯性.
- 利用了先进的信息化策略,包括标准化的通用数据元素 (CDEs),区块链启发的标识符和基于角色的访问控制 (RBAC).
主要成果:
- 在三年内,NIMP成功管理了762名人类捐赠者的数据和元数据,8449个脑板和21781个11个实验室的测序图书馆.
- 仅仅基底细胞中就产生了超过1800万个细胞的数据.
- 从组织银行到数据档案展示了数据生产管道的端到端集成.
结论:
- NIMP数字双胞胎模式为大型神经科学联盟中的FAIR数据生成提供了一个可扩展和可扩展的基础设施.
- 这种方法为复杂的生物研究计划中的数据协调和管理提供了未来的蓝图.
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