建立一个社区驱动的生物信息平台,以促进大麻sativa多omics研究
Locedie Mansueto1, Tobias Kretzschmar1, Ramil Mauleon1,2
1Southern Cross University, Military Road, Lismore New South Wales, 2480, Australia.
GigaByte (Hong Kong, China)
|October 29, 2024
概括
一个新的网页门户集成大麻遗传和基因组学数据,使高效的多omics分析. 该资源支持研究人员,提供访问各种数据集和分析工具,以推进大麻科学.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 植物科学 植物科学
背景情况:
- 全球大麻法规的变化推动了对工业和医疗应用的需求.
- 增加的需求需要对大麻进行强有力的遗传和基因组学研究.
- 一个研究社区发现需要一个集中式数据存储库.
研究的目的:
- 建立一个网络门户网站,用于托管和整合大麻特定的欧米克数据集.
- 为研究人员提供无的数据共享和多主题分析.
- 为高效的数据检索和分析开发一个Web服务API.
主要方法:
- 利用Tripal平台来托管基因组组,基因注释和表达数据.
- 综合量化特征位置,遗传图和代谢概况.
- 使用公开的重序数据和嵌入式工具,如SNP-Seek,称为单核酸多态 (SNP).
主要成果:
- 在Tripal平台上成功托管了各种大麻omics数据集.
- 开发了一个多omics数据集成网络服务API.
- 通过使用案例展示了API对高效多omics分析的实用性.
结论:
- 开发的网络门户和API显著提高了大麻研究的多omics数据集成和分析能力.
- 该平台促进信息共享,加速该领域的科学发现.
- 该资源可以在www.icgrc.info.info上公开访问.
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