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Correction

Correction: Can quartet analyses combining maximum likelihood estimation and Hennigian logic overcome long branch attraction in phylogenomic sequence data?

  • The PLOS ONE Staff

There are multiple errors in Fig 1. The authors have provided a corrected version here. The publisher apologizes for the error.

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Fig 1. Flowchart of the PhyQuart algorithm.

Simplified flowchart showing a) each of the three possible quartet relationships for a set of 4 sequences (q1, q2, q3), b) the site-pattern classification of observed (Nobs) symmetric () and asymmetric () support (), c) the determination of plesiomorphic (old) split-supporting site-patterns given two different polarities of character transformation along the internal branch of each possible quartet tree, and , and d) estimation of expected convergent split-supporting site-patterns (,) supporting quartet q1 in ML split pattern estimations using branch length and model optimization on constraint topologies of the other two possible quartet relationships (q2, q3).

https://doi.org/10.1371/journal.pone.0186617.g001

Reference

  1. 1. Kück P, Wilkinson M, Groß C, Foster PG, Wägele JW (2017) Can quartet analyses combining maximum likelihood estimation and Hennigian logic overcome long branch attraction in phylogenomic sequence data? PLoS ONE 12(8): e0183393. https://doi.org/10.1371/journal.pone.0183393 pmid:28841676

Citation: The PLOS ONE Staff (2017) Correction: Can quartet analyses combining maximum likelihood estimation and Hennigian logic overcome long branch attraction in phylogenomic sequence data? PLoS ONE 12(10): e0186617. https://doi.org/10.1371/journal.pone.0186617

Published: October 12, 2017

Copyright: © 2017 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.