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Syst. Biol. 59(3):307321, 2010 c The Author(s) 2010. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved.
 

Summary: Syst. Biol. 59(3):307­321, 2010
c The Author(s) 2010. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved.
For Permissions, please email: journals.permissions@oxfordjournals.org
DOI:10.1093/sysbio/syq010
Advance Access publication on March 29, 2010
New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing
the Performance of PhyML 3.0
ST ´EPHANE GUINDON1,2
, JEAN-FRANC¸ OIS DUFAYARD1
, VINCENT LEFORT1
, MARIA ANISIMOVA1,3,4
,
WIM HORDIJK1,5
, AND OLIVIER GASCUEL1,
1M´ethodes et Algorithmes pour la Bioinformatique, LIRMM, CNRS, Universit´e de Montpellier, 34392 Montpellier Cedex 5, France; 2Department of
Statistics, University of Auckland, Auckland 1142, New Zealand; 3Institute of Computational Science, ETH, CH-8092 Zurich, Switzerland;
4Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland; and 5Department of Statistics, University of Oxford, OX1 3TG Oxford, UK;
Correspondence to be sent to: Olivier Gascuel, M´ethodes et Algorithmes pour la Bioinformatique, LIRMM, CNRS, Universit´e de Montpellier,
161 rue Ada, 34392 Montpellier Cedex 5, France; E-mail: gascuel@lirmm.fr.
Received 26 June 2008; reviews returned 18 August 2008; accepted 20 December 2009

  

Source: Anisimova, Maria - Institute of Scientific Computing, Eidgenössische Technische Hochschule Zürich (ETHZ)

 

Collections: Biology and Medicine