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Haplotype Inference for Pedigrees with Few Recombinations

机译:很少重组的谱系的单倍型推断

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Pedigrees, or family trees, are graphs of family relationships that are used to study inheritance. A fundamental problem in computational biology is to find, for a pedigree with n individuals genotyped at every site, a set of Mendelian-consistent haplotypes that have the minimum number of recombinations. This is an NP-hard problem and some pedigrees can have thousands of individuals and hundreds of thousands of sites. This paper formulates this problem as a optimization on a graph and introduces a tailored algorithm with a running time of O(n~(k+2)m~(6k)) for n individuals, m sites, and k recombinations. Since there are generally only 1-2 recombinations per chromosome in each meiosis, k is small enough to make this algorithm practically relevant.
机译:家谱或家谱是用于研究继承的家庭关系图。计算生物学的一个基本问题是,对于在每个位点具有n个基因型的个体谱系,要找到一组孟德尔一致性最小的重组单倍型。这是一个NP难题,有些谱系可以有成千上万的人和成千上万的站点。本文将此问题描述为图上的优化,并针对n个个体,m个位置和k个重组引入了运行时间为O(n〜(k + 2)m〜(6k))的量身定制算法。由于每个减数分裂中每个染色体通常只有1-2个重组,因此k很小,足以使该算法实用。

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