Mathematically tractable models of random phylogenetic networks: an overview of some recent developments.

IF 4.7 2区 生物学 Q1 BIOLOGY Philosophical Transactions of the Royal Society B: Biological Sciences Pub Date : 2025-02-13 Epub Date: 2025-02-20 DOI:10.1098/rstb.2023.0301
François Bienvenu
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Abstract

Models of random phylogenetic networks have been used since the inception of the field, but the introduction and rigorous study of mathematically tractable models is a much more recent topic that has gained momentum in the last 5 years. This manuscript discusses some recent developments in the field through a selection of examples. The emphasis is on the techniques rather than on the results themselves, and on probabilistic tools rather than on combinatorial ones.This article is part of the theme issue '"A mathematical theory of evolution": phylogenetic models dating back 100 years'.

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随机系统发育网络的数学可处理模型:一些最近发展的概述。
自该领域成立以来,随机系统发育网络模型一直被使用,但引入和严格研究数学上可处理的模型是一个最近的主题,在过去的5年里获得了动力。这份手稿通过一些例子讨论了这个领域最近的一些发展。重点是技术而不是结果本身,重点是概率工具而不是组合工具。这篇文章是主题“进化的数学理论”的一部分:追溯到100年前的系统发育模型。
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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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