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  1. BEAST Software - Bayesian Evolutionary Analysis Sampling Trees

    Apr 12, 2026 · What is BEAST? BEAST is a cross-platform program for Bayesian analysis of molecular sequences using MCMC. It is entirely orientated towards rooted, time-measured phylogenies inferred …

  2. FigTree | BEAST Documentation

    FigTree is a program for viewing trees, including summary information produced by TreeAnnotator, and producing publication quality figures.

  3. First Tutorial | BEAST Documentation

    Running BEAST for the first time This tutorial will guide you through running BEAST and some of its accessory programs to do a simple phylogenetic analysis. If you haven’t already, download and …

  4. Installing BEAST | BEAST Documentation

    Installing BEAST BEAST has been developed in Java, which allows the same code to run on any platform that has the Java software installed. We have also created packages for each of the …

  5. Error Messages | BEAST Documentation

    Error messages generated by BEAST and its associated utilities.

  6. Tracer | BEAST Documentation

    Tracer (now at version 1.7.2) is a software package for visualising and analysing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, …

  7. BEAGLE | BEAST Documentation

    Using BEAGLE with BEAST BEAGLE is a high-performance library that can perform the core calculations at the heart of most Bayesian and Maximum Likelihood phylogenetics package. It can …

  8. Visualizing phylogenetic trees using FigTree | BEAST Documentation

    This tutorial can be easily adapted to display and summarize annotated summary BEAST trees and prepare publication-ready figures for other datasets. FigTree - this is an application for displaying and …

  9. BEAUti & The BEAST and other programs

    BEAST | Bayesian Evolutionary Analysis Sampling Trees. This is the main program that takes a control file generated by BEAUti and performs the analysis.

  10. Markov Jumps and Rewards | BEAST Documentation

    This realisation includes all the transitions (Markov jumps) between states along phylogenetic branches and the time (Markov rewards) spent in the states between two transitions. This tutorial discusses …