DEFGermplasm:用于森林基因组和表型数据集成的全面数字平台.
Mingjun Du1, Meng Liu1, Yuhui Li1
1National Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang A&F University, Hangzhou 311300, China.
Forestry research
|September 17, 2025
概括
一个新的数字平台,DEFGermplasm,集成了各种森林生殖质数据,以进行先进的管理. 这有助于森林遗传学研究,繁殖和关键树种的保护工作.
科学领域:
- 森林遗传学和森林保护
- 生物信息学和计算生物学
- 植物基因组学和育种
背景情况:
- 森林生殖质资源对于生态系统的稳定性和经济价值至关重要,但面临环境变化和人类活动的威胁.
- 传统的管理方法与信息技术时代产生的复杂数据作斗争.
- 需要先进的数字平台来有效管理和研究森林遗传资源.
研究的目的:
- 开发DEFGermplasm,这是一个用于管理和分析森林生殖质量数据的数字平台.
- 整合各种数据类型,包括基因组,转录组,表型和生理信息.
- 提供用户友好的可视化工具,用于直观的数据呈现和探索.
主要方法:
- 使用Flask,Python,MySQL,NGINX,Gunicorn,HTML5,JavaScript,JBrowse,SequenceServer,Seaborn和Echarts的 DEFGermplasm平台的开发. 在这个平台上,我们可以使用Flask,Python,MySQL,NGINX,Gunicorn,HTML5,JavaScript,JBrowse,SequenceServer,Seaborn和Echarts.
- 集成的多omics数据 (基因组,转录基因组,表型,生理) 对于坚果树,,中国,和phoebe.
- 实现用于热图,表型特征,序列对齐,同质性搜索和基因组结构的可视化工具.
主要成果:
- DEFGermplasm能够直观地呈现复杂的森林生殖质数据.
- 基因表达热图揭示了特定组织的模式;交互式可视化支持繁殖和特征选择.
- 跨物种分析确定了像WRINKLED1这样的保存基因,有助于理解功能适应.
结论:
- 该DEFGermplasm平台通过整合各种数据集与直观可视化来增强森林生殖质研究.
- 它通过改进数据可访问性和分析来支持育种计划和保护计划.
- 数字平台为推进森林遗传学和可持续资源管理提供了变革性的潜力.
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