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Andrew Rambaut

Researcher at University of Edinburgh

Publications -  380
Citations -  114064

Andrew Rambaut is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Population & Phylogenetic tree. The author has an hindex of 123, co-authored 347 publications receiving 89316 citations. Previous affiliations of Andrew Rambaut include South African National Bioinformatics Institute & University of California, Los Angeles.

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BEAST: Bayesian evolutionary analysis by sampling trees

TL;DR: BEAST is a fast, flexible software architecture for Bayesian analysis of molecular sequences related by an evolutionary tree that provides models for DNA and protein sequence evolution, highly parametric coalescent analysis, relaxed clock phylogenetics, non-contemporaneous sequence data, statistical alignment and a wide range of options for prior distributions.
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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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Relaxed Phylogenetics and Dating with Confidence

TL;DR: In this paper, the authors introduce a new approach to perform relaxed phylogenetic analysis, which can be used to estimate phylogenies and divergence times in the face of uncertainty in evolutionary rates and calibration times.
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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.