iteRates: An R Package for Implementing a Parametric Rate Comparison on Phylogenetic Trees
Author(s) -
James A. Fordyce,
Premal Shah,
Benjamin M. Fitzpatrick
Publication year - 2014
Publication title -
evolutionary bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.502
H-Index - 32
ISSN - 1176-9343
DOI - 10.4137/ebo.s16487
Subject(s) - phylogenetic tree , iterated function , r package , clade , tree (set theory) , diversification (marketing strategy) , computer science , parametric statistics , phylogenetics , statistics , evolutionary biology , biology , mathematics , combinatorics , mathematical analysis , biochemistry , marketing , gene , business
Patterns of diversification rate variation detected in phylogenetic hypotheses are frequently used to infer historical, ecological, and evolutionary processes. The parametric rate comparison (PRC) is a method for detecting rate variation in trees that models branch lengths as random variables drawn from familiar statistical distributions. iteRates is a library of functions for the R statistical computing environment for implementing PRC on phylogenetic trees. Here, we describe some of the functions in iteRates for subtree identification, tree manipulation, applying the PRC and K-clades PRC analyses, and conducting a whole-tree randomization test.
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