Data from: Bayesian phylogenetic analysis of combined data

Johan A. A. Nylander, Fredrik Ronquist, John P. Huelsenbeck & Joséluis Nieves-Aldrey
The recent development of Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) techniques has facilitated the exploration of parameter-rich evolutionary models. At the same time, stochastic models have become more realistic (and complex) and have been extended to new types of data, such as morphology. Based on this foundation, we developed a Bayesian MCMC approach to the analysis of combined data sets and explored its utility in inferring relationships among gall wasps based on...
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