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PAUP* 4.0 : Phylogenetic Analysis Using Parsimony
PAUP* 4.0 Beta is a major upgrade of the bestselling software for the inference of evolutionary trees, for use in Macintosh or Windows/DOS-based formats. This version is for use in Macintosh. PleaseExpand
AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics
TLDR
A simple tool is presented that uses the output from MCMC simulations and visualizes a number of properties of primary interest in a Bayesian phylogenetic analysis, such as convergence rates of posterior split probabilities and branch lengths. Expand
BEAGLE: An Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics
TLDR
BEAGLE, an application programming interface (API) and library for high-performance statistical phylogenetic inference, is presented, which provides a uniform interface for performing phylogenetic likelihood calculations on a variety of compute hardware platforms. Expand
NEXUS: an extensible file format for systematic information.
TLDR
The goals of the format are to allow future expansion, to include diverse kinds of information, to be independent of particular computer operating systems, and to be easily processed by a program. Expand
Inferring Evolutionary Trees with PAUP*
TLDR
This unit provides a general description of reconstructing evolutionary trees using PAUP* 4.0 using an example analysis of mitochondrial DNA sequence data using the parsimony and the likelihood criteria to infer optimal trees. Expand
Reconstructing ancestral character states under Wagner parsimony
Abstract The problem of assigning optimal character states to the hypothetical ancestors of an evolutionary tree under the Wagner parsimony criterion is examined. A proof is provided for theExpand
A compound poisson process for relaxing the molecular clock.
TLDR
This work introduces a parametric model that relaxes the molecular clock by allowing rates to vary across lineages according to a compound Poisson process and uses Markov chain Monte Carlo integration to evaluate the posterior probability distribution. Expand
Inferring Evolutionary Trees from Gene Frequency Data Under the Principle of Maximum Parsimony
Most workers attempting to infer evolutionary trees from polymorphic data using established parsimony procedures either have ignored frequency information entirely or have tolerated "optimal"Expand
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