基础科学和病原发生学
Jo Scanlan1, Trisha M Zintel1, Zoë Leanza1
1Sage Bionetworks, Seattle, WA, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
概括
阿尔茨海默病知识门户网站为研究人员提供了广泛的阿尔茨海默病 (AD) 数据和工具,促进发现. 它不断增长的存储库和用户参与强调了它在推动AD研究和使数据重复使用方面的关键作用.
科学领域:
- 神经科学是一个神经科学.
- 基因组学就是基因组学.
- 数据科学数据科学数据科学
背景情况:
- AD知识门户是国家老龄研究所 (NIA) 赞助的资源.
- 它提供了阿尔茨海默氏症 (AD) 数据和研究工具.
研究的目的:
- 提供一个集中平台,共享和访问AD研究数据.
- 促进数据的再利用,并使阿尔茨海默病研究中的新发现成为可能.
主要方法:
- 使用Synapse安全数据共享平台和一个用户友好的门户网站.
- 托管各种数据类型,包括下一代测序,成像和行为数据.
- 与基于云的分析平台集成,如CAVATICA和Terra,以提高数据可访问性.
主要成果:
- 托管来自14个NIH资助的研究项目和97个赠款的数据,包括来自11000多个人的800TB数据.
- 具有~290TB的多式单细胞奥米克数据,实验模型和药物向证据.
- 自2022年1月以来,超过6000名用户下载了超过12.57PB的数据,下载量同比大幅增加.
- 门户数据被引用在1000多个出版物中,其中>50%代表二次数据重复使用.
结论:
- 阿尔茨海默病知识门户网站仍然是一个至关重要的资源,使阿尔茨海默病研究中的新发现成为可能.
- 未来的更新包括与AD Workbench,NACC,NIAGADS,LONI的互操作性,以及空间转录学等新数据类型.
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