Skip to content

Sicheng-Shu/beast-mcmc

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

BEAST X

BEAST X is a cross-platform program for Bayesian analysis of molecular sequences using MCMC. 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 X 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.

Download BEAST X

Download BEAST v10.5 binaries for Mac, Windows and UNIX/Linux

Latest stable release Release Version Release Date Downloads

Latest development release Development Version Development Date Downloads

The previous major release of BEAST was v1.8.4 --- binaries for Mac, Windows and UNIX/Linux Downloads

Older BEAST Downloads

Other Downloads

BEASTGen v1.0.2 .tgz file

BEASTGen v1.0.2 .ZIP file

Documentation

BEAST Documentation Website

Development software

We use IntelliJ IDEA and java profiling via JProfile and YourKit

Acknowledgements

  • This work was supported in part by the European Union Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no. 278433-PREDEMICS and no. 725422-ReservoirDOCS, the Wellcome Trust through collaborator award 206298/Z/17/Z, NSF grant DMS 1264153 and NIH grants R01 HG006139, R01 AI107034, U19 AI135995 and R01 AI153044.

About

Bayesian Evolutionary Analysis Sampling Trees

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Java 98.2%
  • C 0.9%
  • Fortran 0.5%
  • HTML 0.2%
  • Shell 0.2%
  • Python 0.0%