Real-time phylogenetics for food-borne outbreak surveillance

食源性疫情监测的实时系统发育学

• 批准号: LP180100593
• 负责人: Dr Mathieu Fourment
• 金额: $ 35.13万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-01-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180100593
• 关键词: Real; time; phylogenetics; food; borne

The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis.

该项目旨在首次引入农业病原体的实时进化分析，以便能够准确和快速地管理影响作物和粮食供应的疫情。一个专家小组将在用户友好的软件中实施一个大规模数据分析框架，将澳大利亚传染病基因组学数据与全球数据相结合。这项工作的基础是新的理论和算法，应用顺序蒙特卡罗不断更新系统发育分析新的数据到达。预期成果包括：与传染病以外的生物学科有关的进化分析统计算法方面的新知识;以及传染病分析能力的提高。