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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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使用开源软件构建资源高效的社区数据库.

Sook Jung1, Chun-Huai Cheng1, Taein Lee1

  • 1Department of Horticulture, Washington State University, 303c Plant Sciences Building, Pullman, WA 99164-6414, USA.

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概括

开发集成的作物数据库对于在植物育种中利用大数据至关重要. 本研究介绍了使用开源工具构建的五个社区数据库,以支持基因组学和遗传学研究.

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科学领域:

  • 植物基因组学和育种
  • 生物信息学和数据管理
  • 农业科学 农业科学

背景情况:

  • 非模型作物物种的大数据正在迅速增加.
  • 现有的作物数据库面临着不足和间歇性资金,导致有价值数据的不足利用.
  • 迫切需要有效的方法来建立和维护作物研究的社区数据库.

研究的目的:

  • 解决对作物基因组学,遗传学和育种研究综合数据库资源的需求.
  • 描述在社区作物数据库中构建,策划和分析数据的系统和方法.
  • 通过五个已建立的作物数据库,提供对数据和工具的访问.

主要方法:

  • 在十年内使用开源平台和软件开发了五个作物数据库.
  • 实施数据策划和分析协议.
  • 整合与作物研究相关的各种数据集.

主要成果:

  • 成功建立了五个社区作物数据库:罗萨ceae的基因组数据库 (GDR),疫苗的基因组数据库 (GDV),类基因组数据库 (CGD),脉冲作物数据库 (PCD) 和棉花基因组数据库.
  • 这些数据库为研究人员提供精选的数据和分析工具.
  • 开源方法促进了可持续的数据库开发.

结论:

  • 开发的作物数据库为基因组学,遗传学和育种社区提供了必不可少的综合资源.
  • 利用开源技术为建立社区数据库提供了一个高效和可持续的模型.
  • 这些数据库将加强大数据在作物改进工作中的利用.