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pNJTree: A parallel program for reconstruction of neighbor-joining tree and its application in ClustalW

机译:pNJTree:用于重建邻居联接树的并行程序及其在ClustalW中的应用

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Neighbor-joining (NJ) is a distance-based method for tree construction. It is the most widely used method with polynomial time complexity at present. However, a fundamental problem with the previous implementations of this method is its limitation to handle large taxa sets within a reasonable time and memory resources. In this paper, we present a parallel implementation, pNJTree, for fast construction of very large phylogenetic trees. In comparison, pNJTree gets near-linear speedup for large taxa sets. It can be used to improve the speedup of the parallelized ClustalW methods.
机译:邻居加入(NJ)是一种基于距离的树构建方法。它是目前使用最广泛的多项式时间复杂度方法。但是,此方法的先前实现的基本问题是它的局限性,使其无法在合理的时间和内存资源内处理大型分类单元集。在本文中,我们提出了一种并行实现pNJTree,用于快速构建非常大的系统树。相比之下,pNJTree在大型分类单元集上接近线性加速。它可用于提高并行化ClustalW方法的速度。

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