课题基金 / 基金详情

ARI-R2: Repair and Renovation: Advancing Research in Biodiversity Science

ARI-R2: Repair and Renovation: Advancing Research in Biodiversity Science
ARI-R2:修复和翻新:推进生物多样性科学研究
批准号:
0963511
负责人:
Leonard Krishtalka
金额:
$151.24万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-10-01 至 2014-09-30

项目摘要

项目成果

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中文摘要
翻译
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。资金用于更新堪萨斯大学生物多样性研究所在戴什大厅的设施。 生物多样性研究所(BI)在生物多样性科学的研究/研究培训方面取得了国家和国际领导地位。该项目将推进四个基本转变:(1)创建一个灵活的研究基础设施,以适应研究方法,工具,技术和仪器的快速发展;(2)提供以前无法获得的研究能力,例如,克隆DNA,数字化形态学的计算系统发育分析;整合自然系统和人类系统的建模模式,预测环境变化的影响;(3)保持BI的学者/合作者社区在生物多样性科学的知识发现转化的前沿。每一个都将扩大生物多样性科学研究/培训的范围和规模,并创造一体化,协作和团队为基础的研究和研究培训环境;(4)保持生物多样性在培养学生的前沿系统生物学家跨基因生态系统及其信息学领域。BI与五个KU学术部门合作,是下一代生物多样性科学家研究/培训的全球领导者,每年有50至60名研究生居住。此外,该项目还将使BI能够:将其分子技术的实验室实践培训扩大到本科生,包括当地部落大学中服务不足的少数民族;并通过BI的自然历史博物馆将生物多样性科学带给K-12和公众。(1)将基因组综合体从3个不同的实验室扩展和整合为5个集成设施,这些设施具有增强的测序能力,以及克隆,生物计算的新能力,(2)新的生物和形态分析实验室,用于发现补充和测试遗传研究的有机体特征;(3)新的GIS分析实验室,用于合成和预测环境现象的建模;(4)新的生物和形态分析实验室,用于发现生物体特征;以及(4)一个新的、5倍大的服务器室,配备高功率密度服务器机架、专用电源和空气冷却系统,用于扩展存档和为本研究和研究培训提供数据。
英文摘要
AbstractThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Funds are provided to update the University of Kansas Biodiversity Institute's facilities in Dyche Hall. The Biodiversity Institute (BI) has achieved national and international leadership in biodiversity science in research/ research-training. This project will advance four cardinal transformations: (1) create a research infrastructure that is flexible and adaptable to a rapidly evolving landscape of research approaches, tools, techniques, and instrumentation; (2) provide previously unavailable research capabilities, e.g., cloning DNA, digitizing morphology for computational phylogenetic analyses; integrating natural systems and human systems modeling schemas for forecasting the impacts of environmental change; (3) keep the BI's community of scholars/collaborators at the frontiers of transforming knowledge discovery in biodiversity science. Each will expand the BI's scope and scale of research/training in biodiversity science, and create integrative, collaborative and teambased research and research-training environment; and (4) keep the BI at the frontiers of training students as systems biologists across genes to ecosystems and their informatics realms. The BI, in partnership with five KU academic departments, is a global leader in the research/training of the next generations of biodiversity scientists, with 50 to 60 graduate students in residence annually. Further, the project will enable the BI to: expand its hands-on lab training in molecular techniques to undergraduates, including underserved minorities at a local tribal university; and bring biodiversity science to K-12 and public audiences via the BI's Natural History Museum.The funds will provide for: (1) the expansion and consolidation of the Genomics Complex from 3 disparate labs into 5 integrated facilities with enhanced capabilities for sequencing, and new capabilities for cloning, biocomputation, and cryogenic management of more than 80,000 biotic tissues, an irreplaceable genetic research resource; (2) new Biotic and Morphology Analysis labs for discovering organismal characteristics that complement and test genetic research; (3) a new GIS Analysis lab for synthesizing and predictive modeling of environmental phenomena; and (4) a new, 5-fold larger Server Room with high-watt density server racks, dedicated power and air-cooling systems for expanded archiving and serving the data for this research and research-training.
期刊论文(0)
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会议论文
Expansion of the Collections of the University of Kansas Natural History Museum & Biodiversity Research Center
Collaborative Workshop on the Mission and Design of a National Organization for Biodiversity Information, Spring 1996, at the San Diego Supercomputer Center
  • 批准号:
    9628764
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.88万
  • 财政年份:
    1996
  • 负责人:
    Leonard Krishtalka
  • 依托单位:
Acquisition of Computer Systems for Creating Analytical Interfaces to Diverse Environmental Data
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