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Phylogenetic Network Inferences Through Efficient Haplotyping

机译:通过有效单倍型的系统发育网络推断

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摘要

The genotype phasing problem is to determine the haplotypes of diploid individuals from their genotypes where linkage relationships are not known. Based on the model of perfect phytogeny, the genotype phasing problem can be solved in linear time. However, recombinations may occur and the perfect phytogeny model thus cannot interpret genotype data with recombinations. This paper develops a graph theoretical approach that can reduce the problem to finding a subgraph pattern contained in a given graph. Based on ordered graph tree decomposition, this problem can be solved efficiently with a parameterized algorithm. Our tests on biological genotype data showed that this algorithm is extremely efficient and its interpretation accuracy is better than or comparable with that of other approaches.
机译:基因型分阶段的问题是从未知连锁关系的基因型中确定二倍体个体的单倍型。基于理想植物学模型,可以在线性时间内解决基因型定相问题。但是,可能会发生重组,因此完美的植物遗传学模型无法解释具有重组的基因型数据。本文开发了一种图论方法,可以减少查找给定图中包含的子图模式的问题。基于有序图树分解,可以使用参数化算法有效解决此问题。我们对生物基因型数据的测试表明,该算法非常有效,其解释精度优于或可比其他方法。

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