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Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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MetaboSERV-一个选择,交换和可视化代谢学数据的平台,具有受控的数据访问权限.

Tim Tucholski1, Angela Maennel2, Yacoub Abelard Njipouombe Nsangou1,3

  • 1Department of Medical Bioinformatics, University Medical Center Göttingen, 37077 Göttingen, Germany.

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概括
此摘要是机器生成的。

MetaboSERV是一个新的平台,可以安全地共享定量代谢学数据. 它使研究人员能够整合,可视化和比较数据集,同时保持合作研究的隐私.

关键词:
(维护隐私的) 数据共享.协作研究研究协作研究质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量代谢生物组的代谢生物组核磁共振光谱学 核磁共振光谱学

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科学领域:

  • 代谢学 代谢学 代谢学
  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学

背景情况:

  • 越来越多的代谢学研究利用了质谱学 (MS) 和核磁共振 (NMR) 光谱学的高维数据.
  • 现有的公共代谢学数据库提供有限的隐私保护数据共享选项.
  • 需要安全的平台来共享和分析复杂的代谢学数据.

研究的目的:

  • 引入MetaboSERV,这是一个开源平台,用于管理和共享定量代谢学数据.
  • 为了促进研究人员的数据选择,集成和受控访问.
  • 支持保护隐私的数据共享,用于协作和跨学科的研究.

主要方法:

  • 开发一个基于浏览器的平台,具有受控数据访问功能.
  • 实现用于数据浏览,可视化和跨数据集比较的功能.
  • 设计可扩展性和适应性,使用Docker图像进行自我管理的实例.

主要成果:

  • MetaboSERV提供了一个安全的环境,用于共享定量代谢学数据和元数据.
  • 该平台使研究人员能够分析和比较不同数据集中的数据.
  • 提供受控访问功能,以确保保护隐私的数据共享.

结论:

  • MetaboSERV可以作为一个开源的,基于浏览器的平台,用于代谢学数据管理.
  • 该平台通过安全和保护隐私的数据共享来支持协作研究.
  • 源代码和可配置的Docker图像为自主管理实例提供.