IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

被引：8360

作者：

Minh, Bui Quang ^{[1
,2
]}

Schmidt, Heiko A. ^{[3
,4
]}

Chernomor, Olga ^{[3
,4
]}

Schrempf, Dominik ^{[3
,4
,5
]}

Woodhams, Michael D. ^{[6
]}

von Haeseler, Arndt ^{[3
,4
,7
]}

Lanfear, Robert ^{[2
]}

机构：

[1] Australian Natl Univ, Res Sch Comp Sci, Canberra, ACT, Australia

[2] Australian Natl Univ, Res Sch Biol, Dept Ecol & Evolut, Canberra, ACT, Australia

[3] Univ Vienna, Max Perutz Labs, Ctr Integrat Bioinformat Vienna, Vienna, Austria

[4] Med Univ Vienna, Vienna, Austria

[5] Eotvos Lorand Univ, Dept Biol Phys, Budapest, Hungary

[6] Univ Tasmania, Discipline Math, Hobart, Tas, Australia

[7] Univ Vienna, Bioinformat & Computat Biol, Fac Comp Sci, Vienna, Austria

来源：

MOLECULAR BIOLOGY AND EVOLUTION | 2020年 / 37卷 / 05期

基金：

奥地利科学基金会;

关键词：

phylogenetics; phylogenomics; maximum likelihood; models of sequence evolution; DNA-SEQUENCES; APPROXIMATION; CONFIDENCE; ALGORITHM; SELECTION; ACCURATE; VERSION;

D O I：

10.1093/molbev/msaa015

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.

引用

页码：1530 / 1534

页数：5

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