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NextGenPhenomics: Building a systems-level cloud-based platform, integrating Next Generation Sequencing and advanced real-time phenotypic quantificati

NextGenPhenomics: Building a systems-level cloud-based platform, integrating Next Generation Sequencing and advanced real-time phenotypic quantificati
NextGenPhenomics:构建系统级基于云的平台,集成下一代测序和先进的实时表型定量
批准号:
1956140
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
翻译
下一代测序(NGS)技术成本的降低和基因组数据的极高产量使其成为研究复杂植物基因组物种的首选方法。利用NGS,我们现在能够在几天的时间内产生超过10亿的测序读数,这为成千上万的生物事件和环境应激反应的并行发展铺平了道路。为了最大限度地从这些快速发展的测序技术中获益,下一代测序需要下一代表型。出于这个原因,克兰菲尔德大学和Agri-Epi中心最近购买了一个最先进的表型平台,安装在一个专门建造的温室设施内,作为550万英镑投资的一部分。该温室拥有LemnaTec多传感器平台(世界上只有两个类似的平台),可以通过RGB、高光谱、荧光和热像仪以及3D激光扫描仪实时评估作物参数。该平台将允许实时监测各种植物品种在多种环境胁迫和土壤条件下的基因型反应。
英文摘要
The falling costs and the extremely high yield of genomic data from next generation sequencing (NGS) technology made it the method of choice for studying complex plant genome species. Using NGS, we are now able to produce more than one billion sequencing reads within the timeframe of a few days, which has paved the way forward for tens of thousands of biological events and environmental stress responses in parallel. In order to maximise benefit from these rapid advances in sequencing technologies, Next-generation sequencing demands next-generation phenotyping. For this reason, Cranfield University and Agri-Epi Centre have recently acquired a state-of-the-art phenotypic platform installed within a purpose-built glasshouse facility as part of a £5.5m investment. The glasshouse hosts a LemnaTec multi-sensor platform (only two other similar platforms exist worldwide) that allows for real-time assessment of crop parameters through RGB, hyperspectral, fluorescence and thermal cameras and a 3D laser scanner. This platform will allow to monitor, in real-time, the genotypic responses for various plant varieties across a number of environmental stresses and soil conditions.
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基于支链淀粉building blocks构建优质BE突变酶定向修饰淀粉调控机制的研究
  • 批准号:
    31771933
  • 项目类别:
    面上项目
  • 资助金额:
    60.0万元
  • 批准年份:
    2017
  • 负责人:
    郭丽
  • 依托单位: