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A Unified ILP Framework for Genome Median, Halving, and Aliquoting Problems Under DCJ

机译:DCJ下的基因组中位数,减半和等分问题的统一ILP框架

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摘要

One of the key computational problems in comparative genomics is the reconstruction of genomes of ancestral species based on genomes of extant species. Since most dramatic changes in genomic architectures are caused by genome rearrangements, this problem is often posed as minimization of the number of genome rearrangements between extant and ancestral genomes. The basic case of three given genomes is known as the genome median problem. Whole genome duplications (WGDs) represent yet another type of dramatic evolutionary events and inspire the reconstruction of pre-duplicated ancestral genomes, referred to as the genome halving problem. Generalization of WGDs to whole genome multiplication events leads to the genome aliquoting problem. In the present study, we provide polynomial-size integer linear programming formulations for the aforementioned problems. We further obtain such formulations for the restricted versions of the median and halving problems, which have been recently introduced for improving biological relevance.
机译:比较基因组学中的关键计算问题之一是基于现存物种基因组重建祖先物种的基因组。由于基因组架构的大多数巨大变化是由基因组重排引起的,因此该问题通常是作为现存和祖先基因组之间的基因组重排的数量的最小化。三种给定基因组的基本情况称为基因组中值问题。全基因组重复(WGDS)代表另一种类型的戏剧性进化事件,并激发了预复制的祖先基因组的重建,称为基因组减半问题。 WGDs对全基因组繁殖事件的概括导致基因组等分问题。在本研究中,我们为上述问题提供多项式整数线性编程配方。我们进一步获得了最近引入改善生物相关性的中位数和减半问题的限制版本的制剂。

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