系统发育图(PhyG)是一个新的系统发育图搜索和优化程序。

IF 3.9 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Cladistics Pub Date : 2023-10-19 DOI:10.1111/cla.12560
Ward C. Wheeler, Alexander Washburn, Louise M. Crowley
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引用次数: 0

摘要

我们介绍了系统发育图(PhyG),这是一个开源的系统发育搜索工具,用于各种数据类型和图,包括软连线和硬连线网络,以及树。这允许对水平转移和杂交场景进行分析,以及对树木进行必要的垂直继承。PhyG是POY5的继任者,在执行组合数据树对齐时,启发式优化(在示例数据中高达7%)和执行时间(高达200倍)得到了增强。输入数据在定性或序列(对齐和未对齐)类型中可以表现出实际上无限数量的字符状态。新的图构造和细化算法已经被实现并集成到各种搜索过程中。目前,PhyG实现了简约和无公共机制似然优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PhylogeneticGraph (PhyG) a new phylogenetic graph search and optimization program

We present Phylogenetic Graph (PhyG), an open-source, phylogenetic search tool for diverse data types and graphs, including softwired and hardwired networks, in addition to trees. This allows for analysis of horizontal transfer and hybridization scenarios, as well as the necessary vertical inheritance of trees. PhyG is the successor to POY5 in performing combined data tree-alignment with enhancements in heuristic optimality (up to 7% in example data) and execution time (up to a factor of 200). Input data may exhibit a practically unlimited number of character states in qualitative or sequence (aligned and unaligned) types. Novel graph construction and refinement algorithms have been implemented and integrated into a variety of search procedures. Currently, PhyG implements parsimony and No-Common-Mechanism Likelihood optimization.

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来源期刊
Cladistics
Cladistics 生物-进化生物学
CiteScore
8.60
自引率
5.60%
发文量
34
期刊介绍: Cladistics publishes high quality research papers on systematics, encouraging debate on all aspects of the field, from philosophy, theory and methodology to empirical studies and applications in biogeography, coevolution, conservation biology, ontogeny, genomics and paleontology. Cladistics is read by scientists working in the research fields of evolution, systematics and integrative biology and enjoys a consistently high position in the ISI® rankings for evolutionary biology.
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