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超越成对距离:结合系统发育多样性估计的邻接法。

Beyond pairwise distances: neighbor-joining with phylogenetic diversity estimates.

作者信息

Levy Dan, Yoshida Ruriko, Pachter Lior

机构信息

Department of Mathematics, University of California, Berkeley, USA.

出版信息

Mol Biol Evol. 2006 Mar;23(3):491-8. doi: 10.1093/molbev/msj059. Epub 2005 Nov 9.

Abstract

The "neighbor-joining algorithm" is a recursive procedure for reconstructing trees that is based on a transformation of pairwise distances between leaves. We present a generalization of the neighbor-joining transformation, which uses estimates of phylogenetic diversity rather than pairwise distances in the tree. This leads to an improved neighbor-joining algorithm whose total running time is still polynomial in the number of taxa. On simulated data, the method outperforms other distance-based methods. We have implemented neighbor-joining for subtree weights in a program called MJOIN which is freely available under the Gnu Public License at http://bio.math.berkeley.edu/mjoin/.

摘要

“邻接法算法”是一种基于叶节点间成对距离转换来重建树的递归过程。我们提出了邻接转换的一种推广方法,它在树中使用系统发育多样性估计值而非成对距离。这产生了一种改进的邻接法算法,其总运行时间在分类单元数量上仍为多项式时间。在模拟数据上,该方法优于其他基于距离的方法。我们已在一个名为MJOIN的程序中实现了用于子树权重的邻接法,该程序可根据Gnu公共许可证在http://bio.math.berkeley.edu/mjoin/免费获取。

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