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Acquisition of computer system for computational biology

Acquisition of computer system for computational biology
获取计算生物学计算机系统
批准号:
7794511
负责人:
Ion I. Moraru
金额:
$44.23万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-04-22 至 2012-04-21

项目摘要

项目成果

Ion I. Moraru的其他基金

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中文摘要
翻译
描述(由申请人提供):这项申请寻求资金的10 TFLOP计算机集群与4 TB的分布式RAM,以支持来自康涅狄格大学的研究人员在计算生物学中具有挑战性的问题的不同小组。NIH支持的项目包括计算细胞生物学、翻译基因组学和结构生物学。尽管以今天的标准来看,这并不是一个大的集群,但它超过了这些调查人员可用计算能力的几倍,他们目前受到现有资源的严重限制。该集群将补充(并取代)由各个实验室维护的一些分散且过时的集群和小型SMP服务器。该集群将通过更新的处理器技术、增加的总容量以及攻击超出当前能力的大规模并行计算的能力来促进计算。通过共享维护和操作群集实现的效率将减少各个实验室支持单个群集所需的工作量。 与公共健康相关:这个应用程序寻求资金,让康涅狄格大学的几个研究实验室共享一个强大的计算机系统。NIH支持的项目涵盖了计算生物学和生物信息学的不同领域。拟议的共享计算机将加快当前的研究,并允许调查人员解决他们目前无法利用现有能力解决的更复杂的问题。
英文摘要
DESCRIPTION (provided by applicant): This application seeks funding for a 10 TFlop computer cluster with 4 TB distributed RAM to support a diverse group of investigators from the University of Connecticut working on challenging problems in computational biology. The NIH-supported projects encompass computational cell biology, translational genomics, and structural biology. Even though this not a large cluster by today's standards, it exceeds by several times the computational capacity available to these investigators, who are currently severely constrained by existing resources. The cluster will supplement (and replace some of) a number of dispersed and out-dated clusters and small SMP servers maintained by individual labs. The cluster will facilitate computation through more up-to-date processor technology, increased total capacity, and the ability to attack massively parallel computations that are beyond the current capabilities. The efficiencies enabled by a shared maintenance and operation of the cluster will reduce the effort required by individual labs to support individual clusters. PUBLIC HEALTH RELEVANCE: This application seeks funding for a powerful computer system to be shared between several research laboratories from the University of Connecticut. The NIH-supported projects encompass diverse areas of computational biology and bioinformatics. The proposed shared computer will both accelerate current research and allow the investigators to tackle more complex problems that they cannot currently address with existing capabilities.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
A coalescent-based method for population tree inference with haplotypes.
一种基于合并的单倍型群体树推断方法。
DOI: 10.1093/bioinformatics/btu710
发表时间: 2015
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: [Wu,Yufeng]
通讯作者: Wu,Yufeng
An algorithm for computing the gene tree probability under the multispecies coalescent and its application in the inference of population tree.
一种用于计算多物种合并下基因树概率的算法及其在人口树的推断中的应用。
DOI: 10.1093/bioinformatics/btw261
发表时间: 2016-06-15
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: [Wu Y]
通讯作者: Wu Y
Center for Reproducible Systems for Biomedical Modeling
  • 批准号:
    10676065
  • 项目类别:
  • 资助金额:
    $128.94万
  • 财政年份:
    2018
  • 负责人:
    Ion I. Moraru
  • 依托单位:
Software tools for reproducibly simulating, analyzing, and visualizing biomodels
  • 批准号:
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  • 项目类别:
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  • 财政年份:
    2018
  • 负责人:
    Ion I. Moraru
  • 依托单位:
NEW VCELL APPLICATIONS
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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AREA国际经济模型的移植.改进和应用
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    18870435
  • 项目类别:
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  • 批准年份:
    1988
  • 负责人:
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  • 依托单位: