treeannotator21
Mcmc output analysis of beast2 package
Usage
treeannotator [{-heights
<keep | median | mean | ca>}]
[-burnin
<i>]
[-b
<i>]
[-limit
<r>]
[-target
<target_file_name>]
[-help]
[-forceDiscrete]
[-lowMem]
[-hpd2D
<r>]
<input-file-name>
[<output-file-name>]
Overview
BEAST 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. Included is a simple to use user-interface program for setting up standard analyses and a suit of programs for analysing the results.
This treeannotator version matches beast2-mcmc which is no new upstream version of beast-mcmc (1.x) but rather a rewritten version.
Options
-heights an option of 'keep' (default), 'median', 'mean' or 'ca'
-burnin the percentage of states to be considered as 'burn-in'
-b the percentage of states to be considered as 'burn-in'
-limit the minimum posterior probability for a node to be annotated
-target specifies a user target tree to be annotated
-help option to print this message
-forceDiscrete forces integer traits to be treated as discrete traits.
-lowMem use less memory, which is a bit slower.
-hpd2D the HPD interval to be used for the bivariate traits
Examples
-
treeannotator2 test.trees out.txt
-
treeannotator2
-burnin10-heightsmean test.trees out.txt
-
treeannotator2
-burnin20-targetmap.tree test.trees out.txt