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Phylogenetic trees canonically arise as embeddings of phylogenetic networks. We recently showed that the problem of deciding if two phylogenetic networks embed the same sets of phylogenetic trees is computationally hard, \blue{in…

组合数学 · 数学 2021-04-13 Janosch Doecker , Simone Linz , Charles Semple

Phylogenetic networks provide a framework for representing evolutionary histories involving reticulate events such as hybridization or horizontal gene transfer. A central problem is to infer such networks from local structural information.…

离散数学 · 计算机科学 2026-05-12 Patricia A. Ebert , Marc Hellmuth

In recent decades, phylogenetic networks have become a standard tool in modeling evolutionary processes. Nevertheless, basic combinatorial questions about them are still largely open. For instance, even the asymptotic counting problem for…

组合数学 · 数学 2018-11-13 Michael Fuchs , Bernhard Gittenberger , Marefatollah Mansouri

Phylogenetic networks are an extension of phylogenetic trees which are used to represent evolutionary histories in which reticulation events (such as recombination and hybridization) have occurred. A central question for such networks is…

种群与进化 · 定量生物学 2018-03-28 Andrew Francis , Vincent Moulton

Rooted phylogenetic networks provide a way to describe species' relationships when evolution departs from the simple model of a tree. However, networks inferred from genomic data can be highly tangled, making it difficult to discern the…

种群与进化 · 定量生物学 2021-05-31 Andrew Francis , Daniel H. Huson , Mike Steel

Phylogenetic networks are a generalisation of phylogenetic trees that allow for more complex evolutionary histories that include hybridisation-like processes. It is of considerable interest whether a network can be considered `tree-like' or…

种群与进化 · 定量生物学 2017-11-21 Michael Hendriksen

In comparison to phylogenetic trees, phylogenetic networks are more suitable to represent complex evolutionary histories of species whose past includes reticulation such as hybridisation or lateral gene transfer. However, the reconstruction…

种群与进化 · 定量生物学 2024-05-31 Janosch Döcker , Simone Linz , Kristina Wicke

Most of major algorithms for phylogenetic tree reconstruction assume that sequences in the analyzed set either do not have any offspring, or that parent sequences can maximally mutate into just two descendants. The graph resulting from such…

种群与进化 · 定量生物学 2013-10-09 Piotr Plonski , Jan P. Radomski

Phylogenetic networks are a flexible model of evolution that can represent reticulate evolution and handle complex data. Tree-based networks, which are phylogenetic networks that have a spanning tree with the same root and leaf-set as the…

组合数学 · 数学 2023-05-25 Takatora Suzuki , Han Guo , Momoko Hayamizu

Phylogenetic trees are widely used to display estimates of how groups of species evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species that evolved from a common ancestor. When phylogenetic trees…

种群与进化 · 定量生物学 2009-10-19 Leo van Iersel , Steven Kelk , Regula Rupp , Daniel Huson

We study the question of reconstructing a weighted, directed network up to isomorphism from its motifs. In order to tackle this question we first relax the usual (strong) notion of graph isomorphism to obtain a relaxation that we call weak…

离散数学 · 计算机科学 2022-12-20 Samir Chowdhury , Facundo Mémoli

Phylogenetic networks are rooted, labelled directed acyclic graphs which are commonly used to represent reticulate evolution. There is a close relationship between phylogenetic networks and multi-labelled trees (MUL-trees). Indeed, any…

种群与进化 · 定量生物学 2015-06-16 Katharina T. Huber , Vincent Moulton , Mike Steel , Taoyang Wu

A challenging problem in complex networks is the network reconstruction problem from data. This work deals with a class of networks denoted as conserved networks, in which a flow associated with every edge and the flows are conserved at all…

机器学习 · 计算机科学 2020-04-14 Satya Jayadev P. , Shankar Narasimhan , Nirav Bhatt

Reticulate evolution gives rise to complex phylogenetic networks, making their interpretation challenging. A typical approach is to extract trees within such networks. Since Francis and Steel's seminal paper, "Which Phylogenetic Networks…

组合数学 · 数学 2025-05-20 Takatora Suzuki , Momoko Hayamizu

Phylogenetic networks are rooted acyclic directed graphs in which the leaves are identified with members of a set X of species. The cluster of a vertex is the set of leaves that are descendants of the vertex. A network is "distinct-cluster"…

组合数学 · 数学 2017-04-11 Stephen J. Willson

Binets and trinets are phylogenetic networks with two and three leaves, respectively. Here we consider the problem of deciding if there exists a binary level-1 phylogenetic network displaying a given set $\mathcal{T}$ of binary binets or…

数据结构与算法 · 计算机科学 2014-11-26 Katharina Huber , Leo van Iersel , Vincent Moulton , Celine Scornavacca , Taoyang Wu

The neighbor-joining algorithm is a popular phylogenetics method for constructing trees from dissimilarity maps. The neighbor-net algorithm is an extension of the neighbor-joining algorithm and is used for constructing split networks. We…

组合数学 · 数学 2008-05-13 Dan Levy , Lior Pachter

We show a first-order asymptotics result for the number of galled networks with $n$ leaves. This is the first class of phylogenetic networks of {\it large} size for which an asymptotic counting result of such strength can be obtained. In…

组合数学 · 数学 2021-10-06 Michael Fuchs , Guan-Ru Yu , Louxin Zhang

Phylogenetic networks are a special type of graph which generalize phylogenetic trees and that are used to model non-treelike evolutionary processes such as recombination and hybridization. In this paper, we consider {\em unrooted}…

组合数学 · 数学 2025-05-21 Katharina T. Huber , Simone Linz , Vincent Moulton

Phylogenetic networks extend phylogenetic trees to allow for modeling reticulate evolutionary processes such as hybridization. They take the shape of a rooted, directed, acyclic graph, and when parameterized with evolutionary parameters,…

种群与进化 · 定量生物学 2018-08-28 R. A. L. Elworth , H. A. Ogilvie , J. Zhu , L. Nakhleh