Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates
BACKGROUND: Model selection is a vital part of most phylogenetic analyses, and accounting for the heterogeneity in evolutionary patterns across sites is particularly important. Mixture models and partitioning are commonly used to account for this variation, and partitioning is the most popular approach. Most current partitioning methods require some a priori partitioning scheme to be defined, typically guided by known structural features of the sequences, such as gene boundaries or codon...[Show more]
|Collections||ANU Research Publications|
|Source:||BMC Evolutionary Biology|
|Frandsen et al Automatic Selection of Partitioning Schemes 2015.pdf||2.17 MB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.