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A metric phylogenetic tree relating a collection of taxa induces weighted rooted triples and weighted quartets for all subsets of three and four taxa, respectively. New intertaxon distances are defined that can be calculated from these…

种群与进化 · 定量生物学 2020-02-12 Samaneh Yourdkhani , John A. Rhodes

Phylogenetic trees are a central tool in understanding evolution. They are typically inferred from sequence data, and capture evolutionary relationships through time. It is essential to be able to compare trees from different data sources…

种群与进化 · 定量生物学 2017-10-31 Michelle Kendall , Caroline Colijn

We consider species tree estimation under a standard stochastic model of gene tree evolution that incorporates incomplete lineage sorting (as modeled by a coalescent process) and gene duplication and loss (as modeled by a branching…

概率论 · 数学 2020-07-15 Max Hill , Brandon Legried , Sebastien Roch

In order to conduct a statistical analysis on a given set of phylogenetic gene trees, we often use a distance measure between two trees. In a statistical distance-based method to analyze discordance between gene trees, it is a key to decide…

种群与进化 · 定量生物学 2016-02-05 Jing Xi , Jin Xie , Ruriko Yoshida

One approach to estimating a species tree from a collection of gene trees is to first estimate probabilities of clades from the gene trees, and then to construct the species tree from the estimated clade probabilities. While a greedy…

种群与进化 · 定量生物学 2012-11-14 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

As researchers collect increasingly large molecular data sets to reconstruct the Tree of Life, the heterogeneity of signals in the genomes of diverse organisms poses challenges for traditional phylogenetic analysis. A class of phylogenetic…

种群与进化 · 定量生物学 2015-09-11 Liang Liu , Zhenxiang Xi , Shaoyuan Wu , Charles Davis , Scott V. Edwards

This is a survey article on trees, with a modest number of proofs to give a flavor of the way these topologies can be efficiently handled. Trees are defined in set-theorist fashion as partially ordered sets in which the elements below each…

一般拓扑 · 数学 2007-05-23 Peter J. Nyikos

Species tree estimation is a complex problem, due to the fact that different parts of the genome can have different evolutionary histories than the genome itself. One of the causes for this discord is incomplete lineage sorting (also called…

种群与进化 · 定量生物学 2019-04-09 Erin Molloy , Tandy Warnow

A model of genomic sequence evolution on a species tree should include not only a sequence substitution process, but also a coalescent process, since different sites may evolve on different gene trees due to incomplete lineage sorting.…

种群与进化 · 定量生物学 2023-03-15 Elizabeth A. Allman , Colby Long , John A. Rhodes

Gene trees are evolutionary trees representing the ancestry of genes sampled from multiple populations. Species trees represent populations of individuals -- each with many genes -- splitting into new populations or species. The coalescent…

种群与进化 · 定量生物学 2010-07-30 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

We consider the problem of constructing an an optimal-weight tree from the 3*(n choose 4) weighted quartet topologies on n objects, where optimality means that the summed weight of the embedded quartet topologiesis optimal (so it can be the…

数据结构与算法 · 计算机科学 2011-11-09 Rudi Cilibrasi , Paul M. B. Vitanyi

Phylogenetic networks generalise phylogenetic trees and allow for the accurate representation of the evolutionary history of a set of present-day species whose past includes reticulate events such as hybridisation and lateral gene transfer.…

种群与进化 · 定量生物学 2018-09-05 Joan Carles Pons , Charles Semple , Mike Steel

Estimating phylogenetic trees is an important problem in evolutionary biology, environmental policy and medicine. Although trees are estimated, their uncertainties are discarded by mathematicians working in tree space. Here we explicitly…

统计方法学 · 统计学 2017-10-16 Amy D. Willis , Rayna C. Bell

For a model of molecular evolution to be useful for phylogenetic inference, the topology of evolutionary trees must be identifiable. That is, from a joint distribution the model predicts, it must be possible to recover the tree parameter.…

种群与进化 · 定量生物学 2011-11-09 Elizabeth S. Allman , John A. Rhodes

Ultametrics are an important class of distances used in applications such as phylogenetics, clustering and classification theory. Ultrametrics are essentially distances that can be represented by an edge-weighted rooted tree so that all of…

组合数学 · 数学 2026-02-13 Katharina T. Huber , Vincent Moulton , Guillaume E. Scholz

Species networks generalize the notion of species trees to allow for hybridization or other lateral gene transfer. Under the Network Multispecies Coalescent Model, individual gene trees arising from a network can have any topology, but…

种群与进化 · 定量生物学 2019-05-20 Elizabeth Allman , Hector Banos , John Rhodes

We introduce new methods for phylogenetic tree quartet construction by using machine learning to optimize the power of phylogenetic invariants. Phylogenetic invariants are polynomials in the joint probabilities which vanish under a model of…

种群与进化 · 定量生物学 2007-05-23 Nicholas Eriksson , Yuan Yao

Ultrametric matrices are a class of covariance matrices that arise in latent tree models. As a parameter space in a statistical model, the set of ultrametric matrices is neither convex nor a smooth manifold. Focus in the literature has…

统计方法学 · 统计学 2025-04-28 Tsung-Hung Yao , Zhenke Wu , Karthik Bharath , Veerabhadran Baladandayuthapani

We define, analyze, and give efficient algorithms for two kinds of distance measures for rooted and unrooted phylogenies. For rooted trees, our measures are based on the topologies the input trees induce on triplets; that is, on…

数据结构与算法 · 计算机科学 2009-06-30 Mukul S. Bansal , Jianrong Dong , David Fernández-Baca

The inference of the evolutionary history of a collection of organisms is a problem of fundamental importance in evolutionary biology. The abundance of DNA sequence data arising from genome sequencing projects has led to significant…

种群与进化 · 定量生物学 2015-07-07 Julia Chifman , Laura Kubatko
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