 The posterior probability of a tree will indicate the probability of the tree to be correct, being the tree with the highest posterior probability the one chosen to represent best a phylogeny.It was the introduction of Markov Chain Monte Carlo (MCMC) methods by Nicolas Metropolis in 1953 that revolutionized Bayesian Inference and by the 1990s became a widely used method amongst phylogeneticists.Some of the advantages over traditional maximum parsimony and maximum likelihood methods are the possibility of account for the phylogenetic uncertainty, use of prior information and incorporation of complex models of evolution that limited computational analyses for traditional methods.