Literature DB >> 16796553

The identifiability of tree topology for phylogenetic models, including covarion and mixture models.

Elizabeth S Allman1, John A Rhodes.   

Abstract

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. We establish tree identifiability for a number of phylogenetic models, including a covarion model and a variety of mixture models with a limited number of classes. The proof is based on the introduction of a more general model, allowing more states at internal nodes of the tree than at leaves, and the study of the algebraic variety formed by the joint distributions to which it gives rise. Tree identifiability is first established for this general model through the use of certain phylogenetic invariants.

Mesh:

Year:  2006        PMID: 16796553     DOI: 10.1089/cmb.2006.13.1101

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  11 in total

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Authors:  Elizabeth S Allman; James H Degnan; John A Rhodes
Journal:  J Math Biol       Date:  2010-07-23       Impact factor: 2.259

2.  A mixed branch length model of heterotachy improves phylogenetic accuracy.

Authors:  Bryan Kolaczkowski; Joseph W Thornton
Journal:  Mol Biol Evol       Date:  2008-03-03       Impact factor: 16.240

3.  The genetic code can cause systematic bias in simple phylogenetic models.

Authors:  Simon Whelan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

4.  Split Scores: A Tool to Quantify Phylogenetic Signal in Genome-Scale Data.

Authors:  Elizabeth S Allman; Laura S Kubatko; John A Rhodes
Journal:  Syst Biol       Date:  2017-07-01       Impact factor: 15.683

5.  Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach.

Authors:  Rui Duan; Ming Cao; Yang Ning; Mingfu Zhu; Bin Zhang; Aidan McDermott; Haitao Chu; Xiaohua Zhou; Jason H Moore; Joseph G Ibrahim; Daniel O Scharfstein; Yong Chen
Journal:  Biometrics       Date:  2019-11-06       Impact factor: 2.571

6.  Distinguishing level-1 phylogenetic networks on the basis of data generated by Markov processes.

Authors:  Elizabeth Gross; Leo van Iersel; Remie Janssen; Mark Jones; Colby Long; Yukihiro Murakami
Journal:  J Math Biol       Date:  2021-09-04       Impact factor: 2.259

7.  The space of phylogenetic mixtures for equivariant models.

Authors:  Marta Casanellas; Jesús Fernández-Sánchez; Anna M Kedzierska
Journal:  Algorithms Mol Biol       Date:  2012-11-28       Impact factor: 1.405

8.  Assessing parameter identifiability in phylogenetic models using data cloning.

Authors:  José Miguel Ponciano; J Gordon Burleigh; Edward L Braun; Mark L Taper
Journal:  Syst Biol       Date:  2012-05-30       Impact factor: 15.683

9.  pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree.

Authors:  Frederick A Matsen; Robin B Kodner; E Virginia Armbrust
Journal:  BMC Bioinformatics       Date:  2010-10-30       Impact factor: 3.169

10.  Hypothesis Testing With Rank Conditions in Phylogenetics.

Authors:  Colby Long; Laura Kubatko
Journal:  Front Genet       Date:  2021-07-02       Impact factor: 4.599

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