IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies.
IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies.
复制标题
DOI:
10.1093/molbev/msu300
复制
发表时间:
2015-01
影响因子:
10.7
通讯作者:
Minh BQ
中科院分区:
文献类型:
--
作者:
Nguyen LT;Schmidt HA;von Haeseler A;Minh BQ
Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3–97.1%. IQ-TREE is freely available at http://www.cibiv.at/software/iqtree.
登录
查看更多内容
影响因子:
10.7
作者:
Minh BQ;Nguyen MA;von Haeseler A
通讯作者:
von Haeseler A
影响因子:
6.5
作者:
Morrison, David A.
通讯作者:
Morrison, David A.
影响因子:
10.7
作者:
Vinh, LS;von Haeseler, A
通讯作者:
von Haeseler, A
影响因子:
6.5
作者:
Vos, RA
通讯作者:
Vos, RA
影响因子:
5.8
作者:
Stamatakis, Alexandros
通讯作者:
Stamatakis, Alexandros