A Powerful Graphical Analysis Environment for Molecular Phylogenetics Gangolf Jobb1*, Arndt Von Haeseler2,3 and Korbinian Strimmer1

A Powerful Graphical Analysis Environment for Molecular Phylogenetics Gangolf Jobb1*, Arndt Von Haeseler2,3 and Korbinian Strimmer1

Jobb et al. BMC Evolutionary Biology (2015) 15:243 DOI 10.1186/s12862-015-0513-z RETRACTION NOTE Open Access Retraction Note: TREEFINDER: a powerful graphical analysis environment for molecular phylogenetics Gangolf Jobb1*, Arndt von Haeseler2,3 and Korbinian Strimmer1 Retraction The editors of BMC Evolutionary Biology retract this article [1] due to the decision by the corresponding author, Gangolf Jobb, to change the license to the software described in the article. The software is no longer available to all scientists wishing to use it in certain territories. This breaches the journal’seditorial policy on software availability [2] which has been in effect since the time of publication. The other authors of the article, Arndt von Haeseler and Korbinian Strimmer, have no control over the licensing of the software and support the retraction of this article. Author details 1Department of Statistics, University of Munich, Ludwigstr. 33, D-80539 Munich, Germany. 2Department of Computer Science, University of Düsseldorf, Universitätsstr. 1, D-40225 Düsseldorf, Germany. 3John von Neumann Institute for Computing, Forschungszentrum Jülich, D-52425 Jülich, Germany. Received: 19 October 2015 Accepted: 20 October 2015 References 1. Jobb G, von Haeseler A, Strimmer K. TREEFINDER: a powerful graphical analysis environment for molecular phylogenetics. BMC Evol Biol. 2004;4:18. 2. BMC Evolutionary Biology’s Instructions for Authors of Software Articles: http://www.biomedcentral.com/bmcevolbiol/authors/instructions/software. Accessed 15 October 2015. Submit your next manuscript to BioMed Central and take full advantage of: • Convenient online submission • Thorough peer review • No space constraints or color figure charges • Immediate publication on acceptance * Correspondence: [email protected] • Inclusion in PubMed, CAS, Scopus and Google Scholar The online version of the original article can be found under • Research which is freely available for redistribution doi:10.1186/1471-2148-4-18. 1Department of Statistics, University of Munich, Ludwigstr. 33, D-80539 Munich, Germany Submit your manuscript at www.biomedcentral.com/submit © 2015 Jobb et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated..

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