Heuristic Algorithm for Computing Reversal Distance with MultiGene Families via Binary Integer Programming

J. Suksawatchon, C. Lursinsap, M. Bodén
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引用次数: 2

Abstract

Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem of sorting of signed genomic data. Their algorithm solves the minimum number of reversals required for rearranging a genome to another when gene duplication is nonexisting. In this paper, we show how to extend the Hannenhalli-Pevzner approach to genomes with multigene families. We propose a new heuristic algorithm to compute the reversal distance between two genomes with multigene families via the concept of binary integer programming without removing gene duplicates. The experimental results on simulated and real biological data demonstrate that the proposed algorithm is able to find the reversal distance accurately.
基于二进制整数规划的多基因家族反转距离计算启发式算法
Hannenhalli和Pevzner为有符号基因组数据排序的组合问题开发了第一个多项式时间算法。他们的算法解决了在基因复制不存在的情况下,将基因组重新排列到另一个基因组所需的最小反转次数。在本文中,我们展示了如何将Hannenhalli-Pevzner方法扩展到具有多基因家族的基因组。我们提出了一种新的启发式算法,在不去除重复基因的情况下,利用二进制整数规划的概念计算具有多基因家族的两个基因组之间的反转距离。在模拟和真实生物数据上的实验结果表明,该算法能够准确地找到反转距离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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