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W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis

This article presents W-IQ-TREE, an intuitive and user-friendly web interface and server for IQ-TREE, an efficient phylogenetic software for maximum likelihood analysis. W-IQ-TREE supports multiple sequence types (DNA, protein, codon, binary and morphology) in common alignment formats and a wide ran...

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Autores principales: Trifinopoulos, Jana, Nguyen, Lam-Tung, von Haeseler, Arndt, Minh, Bui Quang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987875/
https://www.ncbi.nlm.nih.gov/pubmed/27084950
http://dx.doi.org/10.1093/nar/gkw256
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author Trifinopoulos, Jana
Nguyen, Lam-Tung
von Haeseler, Arndt
Minh, Bui Quang
author_facet Trifinopoulos, Jana
Nguyen, Lam-Tung
von Haeseler, Arndt
Minh, Bui Quang
author_sort Trifinopoulos, Jana
collection PubMed
description This article presents W-IQ-TREE, an intuitive and user-friendly web interface and server for IQ-TREE, an efficient phylogenetic software for maximum likelihood analysis. W-IQ-TREE supports multiple sequence types (DNA, protein, codon, binary and morphology) in common alignment formats and a wide range of evolutionary models including mixture and partition models. W-IQ-TREE performs fast model selection, partition scheme finding, efficient tree reconstruction, ultrafast bootstrapping, branch tests, and tree topology tests. All computations are conducted on a dedicated computer cluster and the users receive the results via URL or email. W-IQ-TREE is available at http://iqtree.cibiv.univie.ac.at. It is free and open to all users and there is no login requirement.
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spelling pubmed-49878752016-08-22 W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis Trifinopoulos, Jana Nguyen, Lam-Tung von Haeseler, Arndt Minh, Bui Quang Nucleic Acids Res Web Server issue This article presents W-IQ-TREE, an intuitive and user-friendly web interface and server for IQ-TREE, an efficient phylogenetic software for maximum likelihood analysis. W-IQ-TREE supports multiple sequence types (DNA, protein, codon, binary and morphology) in common alignment formats and a wide range of evolutionary models including mixture and partition models. W-IQ-TREE performs fast model selection, partition scheme finding, efficient tree reconstruction, ultrafast bootstrapping, branch tests, and tree topology tests. All computations are conducted on a dedicated computer cluster and the users receive the results via URL or email. W-IQ-TREE is available at http://iqtree.cibiv.univie.ac.at. It is free and open to all users and there is no login requirement. Oxford University Press 2016-07-08 2016-04-15 /pmc/articles/PMC4987875/ /pubmed/27084950 http://dx.doi.org/10.1093/nar/gkw256 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server issue
Trifinopoulos, Jana
Nguyen, Lam-Tung
von Haeseler, Arndt
Minh, Bui Quang
W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis
title W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis
title_full W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis
title_fullStr W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis
title_full_unstemmed W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis
title_short W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis
title_sort w-iq-tree: a fast online phylogenetic tool for maximum likelihood analysis
topic Web Server issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987875/
https://www.ncbi.nlm.nih.gov/pubmed/27084950
http://dx.doi.org/10.1093/nar/gkw256
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