Joint inferences of natural selection between sites and populations
Joint inferences of natural selection between sites and populations
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
关键词:
ArchitectureCloud ComputingCommunicable DiseasesCommunitiesComputer softwareDataDevelopmentDocumentationEmpirical ResearchEnvironmentFoundationsGeneticGenetic DiseasesGenomicsGoalsHuman GeneticsJointsMethodsModelingNatural SelectionsOutcomePlayPopulationPublic HealthRecording of previous eventsResearchResearch PersonnelSiteSoftware ToolsTestingUnited States National Institutes of Healthcombatcomputing resourcesfile formatgenomic dataimprovedinteroperabilitylearning strategypathogen
中文摘要
项目摘要/摘要
迫切需要改进计算方法的稳健性和可访问性
在种群基因组学中。PI的长期目标是开发推断进化的方法
来自种群基因组数据的历史,并支持科学fic社区使用它们。妇产科医生-
这个补充应用程序的目标是将他广泛使用的软件DAI带到云上,并
以改进其开发和文档编制。建议发展的理由是
DADI是计算密集型的,通常由经验研究小组使用,但不太复杂。
因此,将DADI上云将大大增加这些研究人员的
获取复杂的种群基因组模型。
在目标1中,PI建议与云计算专家合作,将DDI带到几个
云环境,包括那些由NIH Strides提供服务的环境。
在目标2中,PI建议通过更多的COM-
全面、自动化的测试。
在目标3中,国际和平倡议建议通过改进文件,改善DADI的用户环境
格式和与标准fiLE格式的互操作性。
拟议补充内容的预期结果是一个显著改进的软件工具
从种群基因组数据推断种群历史和自然选择的模型。这
这一结果预计将对群体基因组学的fi领域产生积极影响,因为
广泛使用的DAI软件的可访问性和健壮性。
项目摘要/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
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Population genomic inferences of history and selection across populations and time
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批准号:10623079
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项目类别:
-
资助金额:$15.16万
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财政年份:2023
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负责人:Ryan Gutenkunst
-
依托单位:
Joint inferences of natural selection between sites and populations
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批准号:10560525
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项目类别:
-
资助金额:$29.43万
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财政年份:2019
-
负责人:Ryan Gutenkunst
-
依托单位:
Joint inferences of natural selection between sites and populations
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批准号:10331017
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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
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批准号:10092189
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项目类别:
-
资助金额:$29.45万
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财政年份:2019
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负责人:Ryan Gutenkunst
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依托单位:
海外基金