Selecting optimal partitioning schemes for phylogenomic datasets
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. METHODS We develop two novel methods for estimating best-fit...[Show more]
|Collections||ANU Research Publications|
|Source:||BMC Evolutionary Biology|
|01_Lanfear_Selecting Optimal 2014.pdf||565.18 kB||Adobe PDF|
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