Development of population-level algorithms for modelling genomic variation and its impact on cellular function in animals and plants

开发群体水平算法来建模基因组变异及其对动植物细胞功能的影响

• 批准号: FT110100972
• 负责人: Prof Lachlan Coin
• 金额: $ 44.47万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2012
• 资助国家: 澳大利亚
• 起止时间: 2012-11-30 至 2017-03-17
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT110100972
• 关键词: Development; population; level; algorithms; modelling; Development; population; level; algorithms; modelling

The purpose of this project is to develop mathematical and computational tools which will enable researchers to model high-throughput biological data at the population level. These models will be used to uncover the effect that genetic variation has on the physiology of the cell and the organism.

该项目的目的是开发数学和计算工具，这将使研究人员能够在人群层面建模高通量生物学数据。这些模型将用于发现遗传变异对细胞和生物体生理的影响。