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Sequence Assembly for High-Throughput Technologies

Sequence Assembly for High-Throughput Technologies
高通量技术的序列组装
批准号:
0444815
负责人:
Steven Skiena
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-07-01 至 2009-06-30

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中文摘要
翻译
纽约州立大学石溪分校被授予改善高通量测序技术的序列组装的赠款。必须开发更便宜的从头测序技术,以充分了解生命的多样性。尽管目前正在开发的技术专注于更容易的重新测序问题来研究基因组变异,但研究人员相信,将这些技术与计算序列组装方面的重大进步结合起来,也有可能显著降低从头测序的成本。他们提议为测序技术建立组装程序,这些技术将在未来一到三年内投入商业使用。某些技术通过廉价地产生大量非常短的读取来实现其成本效益,而其他技术则提供极长的读取(尽管错误率很高)。所提出的研究的智力价值在于将数学分析、算法设计和软件实现应用于这些新的测序技术的组装问题。拟议研究的更广泛影响包括显著的生物技术、经济和科学进步,这些进步源于降低从头测序的成本,以及为本科生、研究生和跨学科学生提供教育机会。
英文摘要
The State University of New York at Stony Brook is awarded a grant to improve sequence assembly for high-throughput sequencing technologies. Significantly cheaper de novo sequencing technologies must be developed to fully understand the diversity of life. Although the technologies currently being developed focus on the easier problem of resequencing to study genomic variation, the investigators are convinced that coupling them with significant advances in computational sequence assembly has the potential to dramatically reduce the cost of de novo sequencing as well. They propose to build assembly programs for sequencing technologies slated to become commercially available over the next one to three years. Certain technologies achieve their cost efficiency by producing massive numbers of very short reads cheaply, while others provide extremely long reads (albeit with high error rates). The intellectual merit of the proposed research lies in the application of mathematical analysis, algorithm design, and software implementation to the assembly problem for these new sequencing technologies. Broader impacts of the proposed research include the significant biotechnical, economic, and scientific advances which result from reducing the costs of de novo genome sequencing, and educational opportunities for undergraduate, graduate, and interdisciplinary students.
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会议论文
MRI: Acquisition of Heterogeneous Computer System for Machine Learning
  • 批准号:
    1919752
  • 项目类别:
    Standard Grant
  • 资助金额:
    $57.2万
  • 财政年份:
    2019
  • 负责人:
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  • 依托单位:
BIGDATA: F: DeepWalking Graphs for Feature Extraction
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  • 资助金额:
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  • 财政年份:
    2016
  • 负责人:
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  • 依托单位:
ABI Innovation: Sequence Optimization for Synthetic Biology
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    1355990
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2014
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ABI Innovation: Synthetic Sequence Designs for Real Biology
  • 批准号:
    1060572
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.79万
  • 财政年份:
    2011
  • 负责人:
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国内基金
海外基金
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  • 批准号:
    21171046
  • 项目类别:
    面上项目
  • 资助金额:
    55.0万元
  • 批准年份:
    2011
  • 负责人:
    李焕荣
  • 依托单位: