整体食品数据门户:用于分析动物生产中的宿主微生物群相互作用的全体数据集
Alexander B Rogers1, Varsha Kale1, Germana Baldi1
1European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Database : the journal of biological databases and curation
|January 11, 2025
概括
在HoloFood项目中,使用多原子数据研究了鱼和的宿主微生物群相互作用. 一个新的数据门户简化了对这些复杂数据集的访问,以改善研究.
科学领域:
- 动物生产 动物生产
- 微生物组研究 微生物组研究
- 生物信息学是一种生物信息学.
背景情况:
- 主体微生物群相互作用显著影响动物生产效率.
- 由于数据的多样性和复杂性,分析多原子数据和元数据存在挑战.
- 以前的数据可访问性在多个公共存储库中分散.
研究的目的:
- 通过全基因学方法研究宿主微生物群相互作用对鱼和肉生产的影响.
- 开发一个集中式的数据资源,简化对复杂,多仓库数据集的访问.
- 为未来的多领域数据可访问性提供一个模型.
主要方法:
- 分析了来自鱼和肉的多组数据,表型特征和元数据.
- 整合来自公共档案的数据 (BioSamples, ENA,MetaboLights,MGnify). 这是一个非常好的方法.
- 开发HoloFood数据门户,以简化数据检索.
主要成果:
- 整体食品数据门户网站提供统一访问与宿主微生物群样本相关的多种和表型数据.
- 可提供项目特定的元基因组组装基因组和病毒目录.
- 该门户便于更容易地访问衍生分析和相关元数据.
结论:
- 整体食品数据门户有效地简化了对复杂,多仓库数据集的访问.
- 这种方法提高了多原子数据的可用性,用于研究动物生产中的宿主微生物群相互作用.
- 该门户网站是未来生物研究数据整合和可访问性的宝贵模型.
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