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Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates

Frandsen, Paul B.; Calcott, Brett; Mayer, Christoph; Lanfear, Robert


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]

CollectionsANU Research Publications
Date published: 2015-02-10
Type: Journal article
Source: BMC Evolutionary Biology
DOI: 10.1186/s12862-015-0283-7


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