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A factor-(1.408+epsilon) approximation for sorting unsigned genomes by reciprocal translocations

机译:通过互易易位排序未签名基因组的因子-(1.408 +ε)近似值

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Sorting genomes by translocations is a classic combinatorial problem in genome rearrangements. The translocation distance for signed genomes can be computed exactly in polynomial time, but for unsigned genomes the problem becomes NP-hard and the current best approximation ratio is 1.5 + epsilon. In this paper, we investigate the problem of sorting unsigned genomes by translocations. Firstly, we propose a tighter lower bound of the optimal solution by analyzing some special sub-permutations; then, by exploiting the two well-known algorithms for approximating the maximum independent set on graphs with a bounded degree and for set packing with sets of bounded size, we devise a new polynomial-time approximation algorithm, improving the approximation ratio to 1.408 + epsilon, where epsilon = 0 (1/ log n). (C) 2015 Elsevier B.V. All rights reserved.
机译:通过易位对基因组进行分类是基因组重排中的经典组合问题。可以在多项式时间内精确计算出有符号基因组的易位距离,但是对于无符号基因组,该问题就变成了NP难题,目前的最佳近似比为1.5 + epsilon。在本文中,我们研究了通过易位排序未签名基因组的问题。首先,通过分析一些特殊的子置换,提出最优解的更严格的下界。然后,通过利用两种众所周知的算法来逼近图上有界度的最大独立集,以及用有界大小的集进行集打包,我们设计了一种新的多项式时间逼近算法,将逼近比提高到1.408 + epsilon ,其中epsilon = 0(1 / log n)。 (C)2015 Elsevier B.V.保留所有权利。

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