HumanIslets.com：提高人类研究胰岛数据的可访问性、整合性和可用性

IF 6.7 1区化学 Q1 CHEMISTRY, ANALYTICAL

Analytical Chemistry Pub Date : 2024-10-01 DOI:10.1016/j.cmet.2024.09.001

Jessica D. Ewald, Yao Lu, Cara E. Ellis, Jessica Worton, Jelena Kolic, Shugo Sasaki, Dahai Zhang, Theodore dos Santos, Aliya F. Spigelman, Austin Bautista, Xiao-Qing Dai, James G. Lyon, Nancy P. Smith, Jordan M. Wong, Varsha Rajesh, Han Sun, Seth A. Sharp, Jason C. Rogalski, Renata Moravcova, Haoning H. Cen, Patrick E. MacDonald

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引用次数: 0

摘要

HumanIslets.com 提供胰岛表型数据、分析工具和数据下载，支持糖尿病研究。它包括分子组学、胰岛和细胞功能测定、组织处理元数据以及来自 547 名捐献者的表型。随着资源的扩展，该资源旨在提高人类胰岛数据的质量、可用性和可访问性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

HumanIslets.com: Improving accessibility, integration, and usability of human research islet data

查看原文本刊更多论文

HumanIslets.com: Improving accessibility, integration, and usability of human research islet data

HumanIslets.com supports diabetes research by offering easy access to islet phenotyping data, analysis tools, and data download. It includes molecular omics, islet and cellular function assays, tissue processing metadata, and phenotypes from 547 donors. As it expands, the resource aims to improve human islet data quality, usability, and accessibility.

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来源期刊

Analytical Chemistry 化学-分析化学

CiteScore

12.10

自引率

12.20%

发文量

1949

审稿时长

1.4 months

期刊介绍： Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.