Efficient phylogenetic methods that manage the curse of genomic complexity

管理基因组复杂性灾难的有效系统发育方法

• 批准号: DP200103151
• 负责人: Prof Robert Lanfear
• 金额: $ 29.66万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-09-21 至 2024-05-21
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200103151
• 关键词: Efficient; phylogenetic; methods; manage; curse

This project aims to develop new methods and software to infer the evolutionary history of organisms using genomic data. These new phylogenomic methods need to take account of the complexity of evolutionary processes and/or patterns in time (along the evolutionary tree) and space (along the genome). This project is significant because these methods must merge mathematics and statistics with High-Performance Computing to handle the huge quantities of genetic data and the complexity of evolution itself. An important expected outcome of this project will be the development and release of freely-available software that incorporates these new methods. This project expects to benefit scientists who need to infer phylogenies from genomic data.

该项目旨在开发新的方法和软件，利用基因组数据推断生物体的进化历史。这些新的基因组学方法需要考虑进化过程和/或模式在时间（沿着进化树）和空间（沿着基因组）上的复杂性。 该项目意义重大，因为这些方法必须将数学和统计学与高性能计算相结合，以处理大量的遗传数据和进化本身的复杂性。这一项目的一个重要预期成果将是开发和发行包含这些新方法的免费软件。该项目预计将使需要从基因组数据中推断遗传学的科学家受益。