aphylo

2026

phylogenetics
bayesian
genomics
Implements a parsimonious evolutionary model to analyze and predict gene-functional annotations in phylogenetic trees, as described in Vega Yon et al.

ActivePackage2026CRAN0.3-6downloads19kstars6Cited by1

Citation counts from OpenAlex; downloads from CRAN. Updated 2026-08-15.

  1. Vega Yon, G. G.University of UtahiD

Statistical Inference of Annotated Phylogenetic Trees

About

Implements a parsimonious evolutionary model to analyze and predict gene-functional annotations in phylogenetic trees, as described in Vega Yon et al. (2021). Focusing on computational efficiency, ‘aphylo’ makes it possible to estimate pooled phylogenetic models, including thousands (hundreds) of annotations (trees) in the same run. The package also provides tools for visualization of annotated phylogenies, calculation of posterior probabilities (prediction), and goodness-of-fit assessment.

Cite

@Manual{aphylo,
  title = {aphylo: Statistical Inference of Annotated Phylogenetic Trees},
  author = {{Vega Yon}, {George G.}},
  year = {2026},
  doi = {10.32614/CRAN.package.aphylo},
  url = {https://cran.r-project.org/package=aphylo},
  note = {R package version 0.3-6},
}