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A Reduction Algorithm for Computing The Hybridization Number of Two Trees

机译:计算两棵树杂交数的一种简化算法

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摘要

Hybridization is an important evolutionary process for many groups of species. Thus, conflicting signals in a data set may not be the result of sampling or modeling errors, but due to the fact that hybridization has played a significant role in the evolutionary history of the species under consideration. Assuming that the initial set of gene trees is correct, a basic problem for biologists is to compute this minimum number of hybridization events to explain this set. In this paper, we describe a new reduction-based algorithm for computing the minimum number, when the initial data set consists of two trees. Although the two-tree problem is NP-hard, our algorithm always gives the exact solution and runs efficiently on many real biological problems. Previous algorithms for the two-tree problem either solve a restricted version of the problem or give an answer with no guarantee of the closeness to the exact solution. We illustrate our algorithm on a grass data set. This new algorithm is freely available for application at either or .
机译:对于许多物种而言,杂交是重要的进化过程。因此,数据集中的冲突信号可能不是采样或建模错误的结果,而是由于杂交在所考虑物种的进化史中发挥了重要作用这一事实。假设基因树的初始集合是正确的,生物学家的一个基本问题是计算杂交事件的最小数量以解释该集合。在本文中,当初始数据集由两棵树组成时,我们描述了一种基于最小化的新算法,用于计算最小数量。尽管两树问题是NP难的,但是我们的算法始终会给出精确的解决方案,并且可以有效地解决许多实际的生物学问题。先前的两树问题算法无法解决问题的受限版本,或者给出的答案无法保证与精确解的接近性。我们在草数据集上说明我们的算法。此新算法可在或处免费使用。

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