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An Overview of Combinatorial Methods for Haplotype Inference

机译:单倍型推断的组合方法概述

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摘要

A current high-priority phase of human genomics involves the development of a full Haplotype Map of the human genome. It will be used in large-scale screens of populations to associate specific hap-lotypes with specific complex genetic-influenced diseases. A key, perhaps bottleneck, problem is to computationally infer haplotype pairs from genotype data. This paper follows the talk given at the DIMACS Conference on SNPs and Haplotypes held in November of 2002. It reviews several combinatorial approaches to the haplotype inference problem that we have investigated over the last several years. In addition, it updates some of the work presented earlier, and discusses the current state of our work.
机译:人类基因组学的当前高优先级阶段涉及人类基因组完整单倍型图谱的开发。它将用于大规模人群筛查,以将特定的单型与特定的复杂遗传影响的疾病相关联。一个关键的问题(可能是瓶颈问题)是从基因型数据中计算出单倍型对。本文遵循2002年11月举行的DIMACS SNP和单倍型会议上的演讲。它回顾了过去几年中我们研究的针对单倍型推断问题的几种组合方法。此外,它更新了前面介绍的一些工作,并讨论了我们工作的当前状态。

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