From: Martin Smith <martin.s@gm...> - 2012-03-07 16:51:26
I'm using MrBayes 3.2.1 to analyse a dataset where the characters are
divided into seven partitions.
mcmc produces seven files corresponding to the seven partitions,
filename.nex.tree1.t → filename.nex.tree7.t.
sumt produces a separate consensus tree for each of these files. The tree
topology is the same in each partition, but the posterior probabilities and
branch lengths are different.
I'm hoping to combine all this data into a single consensus tree. How
would I go about this? Is there an advantage to considering each partition
Thanks in advance,
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