Selecting optimal partitioning schemes for phylogenomic datasets

Published on Jan 1, 2014in BMC Evolutionary Biology3.04
· DOI :10.1186/1471-2148-14-82
Robert Lanfear29
Estimated H-index: 29
(National Evolutionary Synthesis Center),
Brett Calcott12
Estimated H-index: 12
(ANU: Australian National University)
+ 2 AuthorsAlexandros Stamatakis50
Estimated H-index: 50
(Heidelberg Institute for Theoretical Studies)
Background Partitioning involves estimating independent models of molecular evolution for different subsets of sites in a sequence alignment, and has been shown to improve phylogenetic inference. Current methods for estimating best-fit partitioning schemes, however, are only computationally feasible with datasets of fewer than 100 loci. This is a problem because datasets with thousands of loci are increasingly common in phylogenetics.
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