CropGS-Hub:一个全面的基因型和表型资源数据库,用于主要作物中的基因组预测
Jiaxin Chen1, Cong Tan2,3, Min Zhu1
1Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China.
Nucleic acids research
|November 24, 2023
概括
CropGS-Hub集成了大量的基因组和表型数据用于作物改进. 这个数据库和平台简化了基因组选择和预测,帮助没有编码技能的育种者.
科学领域:
- 农业科学 农业科学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 管理多学科数据,包括基因组和表型信息,对生命科学研究提出了重大挑战.
- 需要集成的数据库,将全基因组关联研究 (GWAS) 与基因组选择 (GS) 结合起来,以改善作物.
研究的目的:
- 推出CropGS-Hub,这是一个全面的数据库和平台,旨在管理作物遗传资源.
- 为基因组预测和交叉设计提供综合工具,促进作物育种.
主要方法:
- 开发了CropGS-Hub,这是一个集成基因型,表型和GWAS数据的数据库,来自7种主要作物物种的30,000多个个体.
- 实现了用于表型预测,用户模型培训和交叉设计的模块,以及SNP基因型 (SNPGT).
主要成果:
- 该数据库包含超过2240亿个基因型数据点和434,000个表型数据点.
- 该平台提供功能性基因组选择模块和用户友好的SNP基因型,可供不需要编码专业知识的用户使用.
结论:
- CropGS-Hub通过整合各种数据并提供综合分析工具,为作物科学家和育种者提供了宝贵的资源.
- 该平台旨在通过高效的基因组选择和数据管理加速作物改进.
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