SMetaS:一个样本元数据标准化器用于代谢学.
Parker Ladd Bremer1, Oliver Fiehn2
1Department of Chemistry, University of California, Davis, CA 95616, USA.
Metabolites
|August 25, 2023
概括
样本元数据的标准化对于代谢学数据的比较至关重要. 新的样本元数据标准化器 (SMetaS) 工具通过将自由文本转换为标准化术语来提高数据的公平性,从而改善数据的发现和重用.
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:
- 由于缺乏标准化的样本元数据,跨研究的代谢学数据比较受到阻碍.
- 现有的标准化工作主要集中在数据采集,处理和存储上,忽视了关键的元数据描述.
- 基于生物样本的本体学描述和研究设计对于代谢学数据库的实用性至关重要.
研究的目的:
- 引入一个以用户为中心的工具,SMetaS (样本元数据标准化器),用于在代谢学中自动标准化样本元数据.
- 提高代谢学数据的公平性 (可查找性,可访问性,可互操作性和可重复使用性),特别是在数据重复使用和元分析方面.
- 为了方便发现可比数据集用于大规模分析,如跨物种比较或代谢图谱.
主要方法:
- 在容器化环境中,SMetaS结合了数据库,API和前端.
- 它具有以用户为中心的双组件设计,用于元数据矩阵的创建和转换.
- 自然语言的术语被转换为固定词汇的术语使用同义词匹配和排版固定通过一个n-grams/最近邻居模型.
主要成果:
- 该SMetaS工具成功地标准化了样本元数据,用受控词汇术语取代自由文本.
- 这个标准化过程是为了简单而设计的,并以智能文本处理策略为指导.
- 该工具通过字符串平等实现下游分析,支持FAIR追溯数据使用.
结论:
- 自动样本元数据标准化对于推进代谢学数据集成和分析至关重要.
- SMetaS显著提高了代谢学数据的公平性,使得数据的重复使用和发现更加稳健.
- 该工具以用户为中心的设计和自动化处理有助于在代谢学研究中更广泛地采用和应用.
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