PartitionFinder: Combined Selection of Partitioning Schemes and Substitution Models for Phylogenetic Analyses
Australian National University · The University of Sydney · +1 more institution
Abstract
In phylogenetic analyses of molecular sequence data, partitioning involves estimating independent models of molecular evolution for different sets of sites in a sequence alignment. Choosing an appropriate partitioning scheme is an important step in most analyses because it can affect the accuracy of phylogenetic reconstruction. Despite this, partitioning schemes are often chosen without explicit statistical justification. Here, we describe two new objective methods for the combined selection of best-fit partitioning schemes and nucleotide substitution models. These methods allow millions of partitioning schemes to be compared in realistic time frames and so permit the objective selection of partitioning…
Citation impact
- FWCI
- 115.80
- Percentile
- 100%
- References
- 34
Authors
4Topics & keywords
- Phylogenetic tree
- Akaike information criterion
- Selection (genetic algorithm)
- Biology
- Substitution (logic)
- Computer science
- Bayesian probability
- Cluster analysis