πBUSS 1.4 – BEAST/BEAGLE utility for Sequence Simulation

πBUSS 1.4

:: DESCRIPTION

πBUSS is a BEAST/BEAGLE utility for sequence simulation, which provides an easy to use interface that allows flexible and extensible phylogenetic data fabrication, delegating computationally intensive tasks to the BEAGLE library and thus making full use of multi-core architectures.

::DEVELOPER

Laboratory for Clinical and Epidemiological Virology, Rega Institute for Medical Research

:: SCREENSHOTS

pibuss

:: REQUIREMENTS

  • Linux / WIndows / MacOsX
  • Java

:: DOWNLOAD

 πBUSS

:: MORE INFORMATION

Citation

Bielejec, F., Lemey, P., Carvalho, L. M., Baele, G., Rambaut, A., Suchard, M. A. (2014)
πBUSS: a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios.
BMC Bioinformatics 15:133.

MultiTypeTree 7.0.1 – Structured Population Inference for BEAST 2

MultiTypeTree 7.0.1

:: DESCRIPTION

MultiTypeTree is a BEAST 2 package for performing phylogenetic inference under models incorporating some form of population structure. It implements a “multi-type” tree object, representing a phylogenetic tree with every time on each edge associated with one of a finite number of discrete types. These types often represent locations, but can in principle represent any well-defined sub-population

::DEVELOPER

The University of Auckland Computational Evolution Group

:: SCREENSHOTS

 N/A

:: REQUIREMENTS

  • Windows / Linux / MacOS
  • Java
  • BEAST 2

:: DOWNLOAD

 MultiTypeTree

 :: MORE INFORMATION

Citation:

Bioinformatics. 2014 Apr 20.
Efficient Bayesian inference under the structured coalescent.
Vaughan TG1, Kühnert D, Popinga A, Welch D, Drummond AJ.

BEAST 1.10.4 / BEAST2 2.6.1 – Bayesian Evolutionary Analysis of Molecular Sequences

BEAST 1.10.4 / BEAST2 2.6.1

:: DESCRIPTION

BEAST (Bayesian Evolutionary Analysis Samling Trees) is a cross-platform program for Bayesian MCMC analysis of molecular sequences. It is entirely orientated towards rooted, time-measured phylogenies inferred using strict or relaxed molecular clock models. It can be used as a method of reconstructing phylogenies but is also a framework for testing evolutionary hypotheses without conditioning on a single tree topology. BEAST uses MCMC to average over tree space, so that each tree is weighted proportional to its posterior probability. We include a simple to use user-interface program for setting up standard analyses and a suit of programs for analysing the results.

BEAST 2 is an open source cross-platform program for Bayesian MCMC phylogenetic analysis of molecular sequences.

::DEVELOPER

The University of Auckland Computational Evolution Group

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / MacOS
  • Java

:: DOWNLOAD

BEAST /BEAST2

:: MORE INFORMATION

Citation:

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.
Bouckaert R, Vaughan TG, Barido-Sottani J, Duchêne S, Fourment M, Gavryushkina A, Heled J, Jones G, Kühnert D, De Maio N, Matschiner M, Mendes FK, Müller NF, Ogilvie HA, du Plessis L, Popinga A, Rambaut A, Rasmussen D, Siveroni I, Suchard MA, Wu CH, Xie D, Zhang C, Stadler T, Drummond AJ.
PLoS Comput Biol. 2019 Apr 8;15(4):e1006650. doi: 10.1371/journal.pcbi.1006650.

Bayesian inference of sampled ancestor trees for epidemiology and fossil calibration.
Gavryushkina A, Welch D, Stadler T, Drummond AJ.
PLoS Comput Biol. 2014 Dec 4;10(12):e1003919. doi: 10.1371/journal.pcbi.1003919.

Alexei J Drummond and Andrew Rambaut
BEAST: Bayesian evolutionary analysis by sampling trees
BMC Evolutionary Biology 2007, 7:214doi:10.1186/1471-2148-7-214

Tracer 1.7.1 – Analyse Results from Bayesian MCMC programs such as BEAST & MrBayes

Tracer 1.7.1

:: DESCRIPTION

Tracer is a program for analysing the trace files generated by Bayesian MCMC runs (that is, the continuous parameter values sampled from the chain). It can be used to analyse runs of BEAST, MrBayes, LAMARC and possibly other MCMC programs.

::DEVELOPER

Andrew Rambaut Group

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / MacOS
  • Java

:: DOWNLOAD

Tracer

:: MORE INFORMATION

Citation

Syst Biol. 2018 Sep 1;67(5):901-904. doi: 10.1093/sysbio/syy032.
Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7.
Rambaut A, Drummond AJ, Xie D, Baele G, Suchard MA.