In this paper, we apply new geometric and combinatorial methods to the study of phylogenetic mixtures. The focus of the geometric approach is to describe the geometry of phylogenetic mixture distributions for the two state random cluster model, which is a generalization of the two state symmetric (CFN) model. In particular, we show that the set of mixture distributions forms a convex polytope and we calculate its dimension; corollaries include a simple criterion for when a mixture of branch lengths on the star tree can mimic the site pattern frequency vector of a resolved quartet tree. Furthermore, by computing volumes of polytopes we can clarify how “common” non-identifiable mixtures are under the CFN model. We also present a new combinato...
Phylogenetics is the suite of mathematical and computational methods which provide biologists with t...
Gene tree topologies have proven a powerful data source for various tasks, including species tree in...
<div><p>Gene tree topologies have proven a powerful data source for various tasks, including species...
Phylogenetic mixtures model the inhomogeneous molecular evolution commonly observed in data. The per...
The reconstruction of phylogenies from DNA or protein sequences is a major task of computational evo...
The reconstruction of phylogenetic trees from molecular sequence data relies on modelling site subst...
Abstract. Background: The selection of an evolutionary model to best fit given molecular data is usu...
The selection of the most suitable evolutionary model to analyze the given molecular data is usually...
Abstract.—We investigate the performance of phylogenetic mixture models in reducing a well-known and...
As phylogenetically controlled experimental designs become increasingly common in ecology, the need ...
Gene tree topologies have proven a powerful data source for various tasks, including species tree in...
We describe a general likelihood-based 'mixture model' for inferring phylogenetic trees from gene-se...
Conventional probabilistic models for phylogenetic inference assume that an evolutionary tree,andasi...
This is a talk given at the New Zealand Phylogenetics Meetings, held in Kaikoura in 2006. The talk d...
We describe a general likelihood-based 'mixture model' for inferring phylogenetic trees from gene-se...
Phylogenetics is the suite of mathematical and computational methods which provide biologists with t...
Gene tree topologies have proven a powerful data source for various tasks, including species tree in...
<div><p>Gene tree topologies have proven a powerful data source for various tasks, including species...
Phylogenetic mixtures model the inhomogeneous molecular evolution commonly observed in data. The per...
The reconstruction of phylogenies from DNA or protein sequences is a major task of computational evo...
The reconstruction of phylogenetic trees from molecular sequence data relies on modelling site subst...
Abstract. Background: The selection of an evolutionary model to best fit given molecular data is usu...
The selection of the most suitable evolutionary model to analyze the given molecular data is usually...
Abstract.—We investigate the performance of phylogenetic mixture models in reducing a well-known and...
As phylogenetically controlled experimental designs become increasingly common in ecology, the need ...
Gene tree topologies have proven a powerful data source for various tasks, including species tree in...
We describe a general likelihood-based 'mixture model' for inferring phylogenetic trees from gene-se...
Conventional probabilistic models for phylogenetic inference assume that an evolutionary tree,andasi...
This is a talk given at the New Zealand Phylogenetics Meetings, held in Kaikoura in 2006. The talk d...
We describe a general likelihood-based 'mixture model' for inferring phylogenetic trees from gene-se...
Phylogenetics is the suite of mathematical and computational methods which provide biologists with t...
Gene tree topologies have proven a powerful data source for various tasks, including species tree in...
<div><p>Gene tree topologies have proven a powerful data source for various tasks, including species...