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Marc A. Suchard

Researcher at University of California, Los Angeles

Publications -  450
Citations -  75980

Marc A. Suchard is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 84, co-authored 383 publications receiving 58927 citations. Previous affiliations of Marc A. Suchard include Wellcome Trust Centre for Human Genetics & University of California, Berkeley.

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MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice across a Large Model Space

TL;DR: The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly, and provides more output options than previously, including samples of ancestral states, site rates, site dN/dS rations, branch rates, and node dates.
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Bayesian Phylogenetics with BEAUti and the BEAST 1.7

TL;DR: The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7 is presented, which implements a family of Markov chain Monte Carlo algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses.
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Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7.

TL;DR: The software package Tracer is presented, for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference, which provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more.
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BEAST 2: A Software Platform for Bayesian Evolutionary Analysis

TL;DR: BEAST 2 now has a fully developed package management system that allows third party developers to write additional functionality that can be directly installed to the BEAST 2 analysis platform via a package manager without requiring a new software release of the platform.
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Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10

TL;DR: The BEAST software package unifies molecular phylogenetic reconstruction with complex discrete and continuous trait evolution, divergence-time dating, and coalescent demographic models in an efficient statistical inference engine using Markov chain Monte Carlo integration.