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中文摘要
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描述(由申请人提供):新的测序技术和越来越密集的SNP阵列正在产生大量的遗传数据。样本量正在增加,基因型变异的范围正在扩大,包括结构和多等位基因变异。这项研究将开发改进的基因型调用方法,这些方法是为这些数据设计的,并以新颖而有力的方式使用来自大样本和相关个体的信息。结果将提高基因型数据的准确性,这将有利于所有关于健康和疾病的遗传决定因素的研究。
英文摘要
DESCRIPTION (provided by applicant): New sequencing technologies and increasingly dense SNP arrays are generating a flood of genetic data. Sample sizes are increasing and the spectrum of genotyped variation is broadening to include structural and multi-allelic variants. This research will develop improved genotype calling methods that are designed for these data and that use information from large sample sizes and from related individuals in novel and powerful ways. The result will be improved genotype data accuracy which will benefit all research on the genetic determinants of health and disease.
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Improved modeling of genotype data
  • 批准号:
    9143163
  • 项目类别:
  • 资助金额:
    $35.0万
  • 财政年份:
    2015
  • 负责人:
    BRIAN LEE BROWNING
  • 依托单位:
Computational methods for large-scale genotype data
  • 批准号:
    10409820
  • 项目类别:
  • 资助金额:
    $45.0万
  • 财政年份:
    2015
  • 负责人:
    BRIAN LEE BROWNING
  • 依托单位:
Improved gene mapping for whole genome data
  • 批准号:
    8133536
  • 项目类别:
  • 资助金额:
    $45.58万
  • 财政年份:
    2010
  • 负责人:
    BRIAN LEE BROWNING
  • 依托单位:
Improved gene mapping for whole genome data
  • 批准号:
    8280414
  • 项目类别:
  • 资助金额:
    $47.3万
  • 财政年份:
    2010
  • 负责人:
    BRIAN LEE BROWNING
  • 依托单位:
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