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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
Published on: August 16, 2017
Comment on "Phylogenetic MCMC algorithms are misleading on mixtures of trees"
Fredrik Ronquist1, Bret Larget, John P Huelsenbeck
1School of Computational Science, Florida State University, Tallahassee, FL 32306-4120, USA. ronquist@scs.fsu.edu
Abstract:
Mossel and Vigoda (Reports, 30 September 2005, p. 2207) show that nearest neighbor interchange transitions, commonly used in phylogenetic Markov chain Monte Carlo (MCMC) algorithms, perform poorly on mixtures of dissimilar trees. However, the conditions leading to their results are artificial. Standard MCMC convergence diagnostics would detect the problem in real data, and correction of the model misspecification would solve it.
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