使用NCBI数据集探索和检索生命树中物种的序列和元数据
Nuala A O'Leary1, Eric Cox2, J Bradley Holmes2
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Building 38A, 8600 Rockville Pike, Bethesda, MD, 20894, USA. olearyna@ncbi.nlm.nih.gov.
Scientific data
|July 5, 2024
概括
NCBI数据集通过提供可扩展的对序列数据的访问来增强生物研究. 该资源遵循FAIR原则,改善了全球科学家的数据可发现性和可用性.
科学领域:
- 生物信息学是一种生物信息学.
- 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:
- 生物研究需要来自公共存储库的多种类型的数据.
- 越来越多的数据量和复杂性挑战了数据的可发现性和可用性.
- 国家生物技术信息中心 (NCBI) 开发了解决这些问题的方法.
研究的目的:
- 引入NCBI数据库作为获取生物数据的资源.
- 解释NCBI数据集如何解决数据可访问性和可用性方面的挑战.
- 概述通过NCBI数据集提供的数据和访问方法的范围.
主要方法:
- NCBI数据集提供了对生物序列,注释和元数据的访问权限.
- 它遵循FAIR数据管理原则 (可查找,可访问,可互操作,可重复使用).
- 访问是通过Web接口,命令行工具和记录的API来促进的.
主要成果:
- NCBI数据集提供了简单,全面和可扩展的数据访问.
- 数据以序列和元数据的包装形式交付.
- 这有助于改进数据检索,共享,归因和重用.
结论:
- NCBI 数据集使研究人员能够无访问重要的生物信息.
- 该平台提高了数据的可用性,并通过有效的数据共享和归因促进进一步的研究.
- 它代表了管理和访问大型生物数据集的重大进步.
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