PhyloJunction: A Computational Framework for Simulating, Developing, and Teaching Evolutionary Models

被引:0
|
作者
Mendes, Fabio K. [1 ]
Landis, Michael J. [2 ]
机构
[1] Louisiana State Univ, Dept Biol, Life Sci Bldg, Baton Rouge, LA 70803 USA
[2] Washington Univ, Dept Biol, Rebstock Hall, St Louis, MO 63130 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
Evolutionary modeling; graphical model; simulation; R PACKAGE; PHYLOGENETIC INFERENCE; BAYESIAN-INFERENCE; DIVERSIFICATION; SPECIATION; EXTINCTION; TREES; DISCRETE; BIRTH; CHARACTER;
D O I
10.1093/sysbio/syae048
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We introduce PhyloJunction, a computational framework designed to facilitate the prototyping, testing, and characterization of evolutionary models. PhyloJunction is distributed as an open-source Python library that can be used to implement a variety of models, thanks to its flexible graphical modeling architecture and dedicated model specification language. Model design and use are exposed to users via command-line and graphical interfaces, which integrate the steps of simulating, summarizing, and visualizing data. This article describes the features of PhyloJunction-which include, but are not limited to, a general implementation of a popular family of phylogenetic diversification models-and, moving forward, how it may be expanded to not only include new models, but to also become a platform for conducting and teaching statistical learning.
引用
收藏
页码:1051 / 1060
页数:10
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