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系统发育连接:一个用于模拟、开发和教授进化模型的计算框架。

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

作者信息

Mendes Fábio K, Landis Michael J

机构信息

Department of Biology, Louisiana State University, Baton Rouge, LA, USA.

Department of Biology, Washington University in St. Louis, Rebstock Hall, St. Louis, MO 63130, USA.

出版信息

Syst Biol. 2024 Nov 29;73(6):1051-1060. doi: 10.1093/sysbio/syae048.

Abstract

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.

摘要

我们介绍了PhyloJunction,这是一个旨在促进进化模型的原型设计、测试和特征描述的计算框架。PhyloJunction作为一个开源Python库进行分发,由于其灵活的图形化建模架构和专用的模型规范语言,可用于实现各种模型。模型的设计和使用通过命令行和图形界面呈现给用户,这些界面集成了数据模拟、汇总和可视化的步骤。本文描述了PhyloJunction的特性——包括但不限于一个流行的系统发育多样化模型家族的通用实现——以及展望其未来如何扩展,不仅要纳入新模型,还要成为一个进行统计学习和教学的平台。

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