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Joint inferences of natural selection between sites and populations

Joint inferences of natural selection between sites and populations
地点和种群之间自然选择的联合推论
批准号:
10166182
负责人:
Ryan Gutenkunst
金额:
$19.97万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-02-01 至 2024-01-31

项目摘要

项目成果

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中文摘要
翻译
项目总结/摘要 迫切需要提高计算方法的鲁棒性和可访问性 在人口基因组学中。PI的长期目标是开发推断进化的方法, 人口基因组数据的历史,并支持科学界使用它们。这是... 这个补充应用程序的目标是将他广泛使用的软件dadi带到云端, 以改进其开发和文档编制。拟议发展的理由是, dadi是计算密集型的,并且通常由具有适度comm的实证研究组使用, 因此,将Dadi带到云端将大大增加这些研究人员的 获取复杂的群体基因组模型 在目标1中,PI建议与云计算专家合作,将Dadi带到几个 云环境,包括由NIH提供服务的云环境。 在目标2中,PI建议改善大地的开发环境,通过更多的COM- 全自动化测试。 在目标3中,PI建议通过改进文档, 与标准文件格式的兼容性。 拟议补编的预期成果是大大改进软件工具, 从种群基因组数据推断种群历史和自然选择模型。这 结果预计将对人口基因组学领域产生积极影响, 广泛使用的dadi软件的可访问性和可靠性。 项目总结/摘要
英文摘要
Project Summary/Abstract There is a critical need to improve the robustness and accessibility of computational approaches in population genomics. The PI's long-term goals are to develop methods for inferring evolutionary history from population genomic data and to support the scientific community in their use. The ob- jectives of this supplement application are to bring his widely used software dadi to the cloud and to improve its development and documentation. The rationale for the proposed development is that dadi is computationally intensive and often used by empirical research groups with modest com- putational resources, so bringing dadi to the cloud will dramatically increase these researchers' access to sophisticated population genomic modeling. In Aim 1, the PI proposes to collaborate with cloud computing experts to bring dadi to several cloud environments, including those served by NIH STRIDES. In Aim 2, the PI proposes to improve the development environment for dadi, through more com- plete and automated testing. In Aim 3, the PI proposes to improve the user environment for dadi, through improved documen- tation and interoperability with standard file formats. The expected outcome of the proposed supplement is a dramatically improved software tool for inferring models of population history and natural selection from population genomic data. This outcome is expected to positive impact on the field of population genomics, by increasing the accessibility and robustness of the widely-used dadi software. Project Summary/Abstract
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Population genomic inferences of history and selection across populations and time
  • 批准号:
    10623079
  • 项目类别:
  • 资助金额:
    $15.16万
  • 财政年份:
    2023
  • 负责人:
    Ryan Gutenkunst
  • 依托单位:
Joint inferences of natural selection between sites and populations
  • 批准号:
    10560525
  • 项目类别:
  • 资助金额:
    $29.43万
  • 财政年份:
    2019
  • 负责人:
    Ryan Gutenkunst
  • 依托单位:
Joint inferences of natural selection between sites and populations
  • 批准号:
    10331017
  • 项目类别:
  • 资助金额:
    $29.43万
  • 财政年份:
    2019
  • 负责人:
    Ryan Gutenkunst
  • 依托单位:
Joint inferences of natural selection between sites and populations
  • 批准号:
    10092189
  • 项目类别:
  • 资助金额:
    $29.45万
  • 财政年份:
    2019
  • 负责人:
    Ryan Gutenkunst
  • 依托单位:
海外基金