IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era
Bùi Quang MinhDepartment of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, ACT, AustraliaHeiko A. SchmidtCenter for Integrative Bioinformatics Vienna, Max Perutz Labs, University of Vienna and Medical University of Vienna, Vienna, AustriaOlga ChernomorCenter for Integrative Bioinformatics Vienna, Max Perutz Labs, University of Vienna and Medical University of Vienna, Vienna, AustriaDominik SchrempfCenter for Integrative Bioinformatics Vienna, Max Perutz Labs, University of Vienna and Medical University of Vienna, Vienna, AustriaMichael D. WoodhamsDiscipline of Mathematics, University of Tasmania, Hobart, TAS, AustraliaArndt von HaeselerBioinformatics and Computational Biology, Faculty of Computer Science, University of Vienna, Vienna, AustriaRobert LanfearDepartment of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, ACT, Australia
2020en
ABI
Abstract
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.
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