Literature DB >> 19179700

The identifiability of covarion models in phylogenetics.

Elizabeth S Allman1, John A Rhodes.   

Abstract

Covarion models of character evolution describe inhomogeneities in substitution processes through time. In phylogenetics, such models are used to describe changing functional constraints or selection regimes during the evolution of biological sequences. In this work the identifiability of such models for generic parameters on a known phylogenetic tree is established, provided the number of covarion classes does not exceed the size of the observable state space. ;Generic parameters' as used here means all parameters except possibly those in a set of measure zero within the parameter space. Combined with earlier results, this implies both the tree and generic numerical parameters are identifiable if the number of classes is strictly smaller than the number of observable states.

Mesh:

Year:  2009        PMID: 19179700     DOI: 10.1109/TCBB.2008.52

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  5 in total

1.  Identifying the rooted species tree from the distribution of unrooted gene trees under the coalescent.

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

2.  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

3.  Parameter Identifiability for a Profile Mixture Model of Protein Evolution.

Authors:  Samaneh Yourdkhani; Elizabeth S Allman; John A Rhodes
Journal:  J Comput Biol       Date:  2021-05-06       Impact factor: 1.549

4.  PROCOV: maximum likelihood estimation of protein phylogeny under covarion models and site-specific covarion pattern analysis.

Authors:  Huai-Chun Wang; Edward Susko; Andrew J Roger
Journal:  BMC Evol Biol       Date:  2009-09-08       Impact factor: 3.260

5.  Inferring Phylogenetic Networks with Maximum Pseudolikelihood under Incomplete Lineage Sorting.

Authors:  Claudia Solís-Lemus; Cécile Ané
Journal:  PLoS Genet       Date:  2016-03-07       Impact factor: 5.917

  5 in total

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