Hi Khaaliq,
Why don't you just compute the average Robinson Foulds distances between
the best-scoring ML tree and the posterior Bayesian trees?
RAxML has an option for doing this, but you may have to convert the
MrBayes output trees into a RAxML-readeble format which I guess, can be
done using Mesquite.
Another way of doing this would be to compute the RF distance between
the majority rule conesus trees, but RAxML can't do that because the
trees might potentially be multi-furcating, but I am sure that there
must be some software around that can do it.
Cheers,
Alexis
--
Alexandros (Alexis) Stamatakis
Research Group Leader, Heidelberg Institute for Theoretical Studies
Full Professor, Dept. of Informatics, Karlsruhe Institute of Technology
Adjunct Professor, Dept. of Ecology and Evolutionary Biology, University
of Arizona at Tucson
www.exelixis-lab.org