Journal
MOLECULAR BIOLOGY AND EVOLUTION
Volume 28, Issue 9, Pages 2439-2442Publisher
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msr100
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Funding
- National Science Foundation [DBI-0850013]
- National Institute of Health [HG002096-09]
- Howard Hughes Medical Institute
- Arizona State University School of Life Sciences
- Direct For Biological Sciences
- Div Of Biological Infrastructure [0850013] Funding Source: National Science Foundation
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Phylogenetic analyses are using increasingly larger data sets for estimating divergence times. With this increase in data sizes, the computation time required is becoming a bottleneck in evolutionary investigations. Our recent study of two relaxed-clock programs (BEAST and MultiDivTime [MDT]) showed their usefulness in time estimation; however, they place a significant computational time burden on biologists even for moderately small data sets. Here, we report speed and accuracy of another relaxed-clock program (MCMCTree, MC2T). We find it to be much faster than both MDT and BEAST while producing comparable time estimates. These results will encourage the analysis of larger data sets as well as the evaluation of the robustness of estimated times to changes in the model of evolutionary rates and clock calibrations.
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