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Sorting permutations by fragmentation-weighted operations
Journal of Bioinformatics and Computational Biology ( IF 1 ) Pub Date : 2020-01-31 , DOI: 10.1142/s0219720020500067
Alexsandro Oliveira Alexandrino 1 , Carla Negri Lintzmayer 2 , Zanoni Dias 1
Affiliation  

One of the main problems in Computational Biology is to find the evolutionary distance among species. In most approaches, such distance only involves rearrangements, which are mutations that alter large pieces of the species’ genome. When we represent genomes as permutations, the problem of transforming one genome into another is equivalent to the problem of Sorting Permutations by Rearrangement Operations. The traditional approach is to consider that any rearrangement has the same probability to happen, and so, the goal is to find a minimum sequence of operations which sorts the permutation. However, studies have shown that some rearrangements are more likely to happen than others, and so a weighted approach is more realistic. In a weighted approach, the goal is to find a sequence which sorts the permutations, such that the cost of that sequence is minimum. This work introduces a new type of cost function, which is related to the amount of fragmentation caused by a rearrangement. We present some results about the lower and upper bounds for the fragmentation-weighted problems and the relation between the unweighted and the fragmentation-weighted approach. Our main results are 2-approximation algorithms for five versions of this problem involving reversals and transpositions. We also give bounds for the diameters concerning these problems and provide an improved approximation factor for simple permutations considering transpositions.

中文翻译:

通过碎片加权操作对排列进行排序

计算生物学的主要问题之一是寻找物种之间的进化距离。在大多数方法中,这种距离只涉及重排,即改变物种基因组大部分的突变。当我们将基因组表示为排列时,将一个基因组转换为另一个基因组的问题等价于通过重排操作对排列进行排序的问题。传统的方法是认为任何重排都具有相同的发生概率,因此,目标是找到对排列进行排序的最小操作序列。然而,研究表明,某些重排比其他重排更有可能发生,因此加权方法更现实。在加权方法中,目标是找到对排列进行排序的序列,使得该序列的成本最小。这项工作引入了一种新型的成本函数,它与重新排列引起的碎片量有关。我们提出了关于碎片加权问题的下界和上限以及未加权和碎片加权方法之间关系的一些结果。我们的主要结果是这个问题的五个版本的 2 近似算法,涉及反转和转置。我们还给出了与这些问题有关的直径范围,并为考虑转置的简单排列提供了改进的近似因子。我们提出了关于碎片加权问题的下界和上限以及未加权和碎片加权方法之间关系的一些结果。我们的主要结果是这个问题的五个版本的 2 近似算法,涉及反转和转置。我们还给出了与这些问题有关的直径范围,并为考虑转置的简单排列提供了改进的近似因子。我们提出了关于碎片加权问题的下界和上限以及未加权和碎片加权方法之间关系的一些结果。我们的主要结果是这个问题的五个版本的 2 近似算法,涉及反转和转置。我们还给出了与这些问题有关的直径范围,并为考虑转置的简单排列提供了改进的近似因子。
更新日期:2020-01-31
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