title: MixtureTree: a program for constructing phylogeny.
abstract: BACKGROUND
  MixtureTree v1.0 is a Linux based program (written in C++) which implements an algorithm based on mixture models for reconstructing phylogeny from binary sequence data, such as single-nucleotide polymorphisms (SNPs). In addition to the mixture algorithm with three different optimization options, the program also implements a bootstrap procedure with majority-rule consensus.
  
  
  RESULTS
  The MixtureTree program written in C++ is a Linux based package. The User's Guide and source codes will be available at http://math.asu.edu/~scchen/MixtureTree.html
  
  
  CONCLUSIONS
  The efficiency of the mixture algorithm is relatively higher than some classical methods, such as Neighbor-Joining method, Maximum Parsimony method and Maximum Likelihood method. The shortcoming of the mixture tree algorithms, for example timing consuming, can be improved by implementing other revised Expectation-Maximization(EM) algorithms instead of the traditional EM algorithm.
authors: School of Mathematical and Statistical Sciences, Arizona State University, Tempe, 85287, USA. scchen@math.asu.edu
authors: Shu-Chuan
authors: SC
authors: Chen
authors: Michael S
authors: MS
authors: Rosenberg
authors: Bruce G
authors: BG
authors: Lindsay
references: Genome Biol. 2010;11(11):R118
references: 21118518
references: Biochem Biophys Res Commun. 2011 Feb 18;405(3):356-61
references: 21216225
references: Bioinformatics. 2002 Feb;18(2):337-8
references: 11847089
references: Brief Bioinform. 2008 Jul;9(4):299-306
references: 18417537
references: Bioinformatics. 2003 Aug 12;19(12):1572-4
references: 12912839
references: Science. 2001 Dec 14;294(5550):2310-4
references: 11743192