BEAST (Bayesian Evolutionary Analysis Sampling Trees)
is a program by A. J. Drummond et al.
for Bayesian MCMC analysis of molecular
sequences. It is orientated towards rooted, time-measured phylogenies inferred
using strict or relaxed molecular clock models. It is intended both as a method
of reconstructing phylogenies and as 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
There are three main areas of research for which BEAST
is particularly applicable. These areas are species phylogenies for molecular dating,
coalescent-based population genetics and measurably evolving populations
(ancient DNA or time-stamped viral sequence data sets).
For details, see the following page.
You will need to specify how many independent BEAST tasks (with the same input) you want to
run through a single click of "Submit" button.
You will then need to
upload an XML input file.
The tasks will be run independently. Results from each task will be placed
in a separate directory and packed together into a zip archive, available for http
and ftp download via a link in a notification e-mail.
The number of processors the job will run on will be adjusted automatically
and can be lowered by the user.
Calculations will be carried out on the BioHPC compute cluster at CBSU. You will receive e-mail notifications when the job is submitted, when it starts, and when it is finished. Output will be available via links embedded in the notification e-mails. For more information about this program and BioHPC interface in general, please visit our Frequently Asked Questions page.
(will be set based on the name of input XML file)
Upload your input file (*.xml)
Number of tasks
Maximum number of processors to use
(lowering the number of processors may allow the job to start sooner, but it will increase the time
of the calculation)
This application can't run at this time - no suitable clusters
or you are not authorized to use the service.
The service is available only to Cornell students, faculty, and staff.
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