Parsimony jackknifing outperforms neighbor-joining

被引:3996
作者
Farris, JS
Albert, VA
Kallersjo, M
Lipscomb, D
Kluge, AG
机构
[1] NEW YORK BOT GARDEN, BRONX, NY 10458 USA
[2] GEORGE WASHINGTON UNIV, DEPT BIOL, WASHINGTON, DC 20052 USA
[3] UNIV MICHIGAN, MUSEUM ZOOL, DIV REPTILES & AMPHIBIANS, ANN ARBOR, MI 48109 USA
关键词
D O I
10.1111/j.1096-0031.1996.tb00196.x
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Because they are designed to produced just one tree, neighbor-joining programs can obscure ambiguities in data. Ambiguities can be uncovered by resampling, but existing neighbor-joining programs may give misleading bootstrap frequencies because they do not suppress zero-length branches and/or are sensitive to the order of terminals in the data A. new procedure, parsimony jackknifing, overcomes these problems while running hundreds of times faster than existing programs for neighbor-joining bootstrapping. For analysis of large matrices, parsimony jackknifing is hundreds of thousands of times faster than extensive branch-swapping, yet is better able to screen out poorly-supported groups. (C) 1996 The Willi Hennig Society.
引用
收藏
页码:99 / 124
页数:26
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