Identifiability of a Markovian model of molecular evolution with gamma-distributed rates

DOI10.1239/aap/1208358894zbMath1139.60335arXiv0709.0531OpenAlexW2131713335WikidataQ60601643 ScholiaQ60601643MaRDI QIDQ5387086

John A. Rhodes, Elizabeth S. Allman, Cécile Ané

Publication date: 15 May 2008

Published in: Advances in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0709.0531

zbMATH Keywords

identifiabilityphylogenetics

Mathematics Subject Classification ID

Problems related to evolution (92D15) Continuous-time Markov processes on general state spaces (60J25) Protein sequences, DNA sequences (92D20)

Related Items (16)

A basic limitation on inferring phylogenies by pairwise sequence comparisons ⋮ Local equations for equivariant evolutionary models ⋮ Identifiability of the unrooted species tree topology under the coalescent model with time-reversible substitution processes, site-specific rate variation, and invariable sites ⋮ Information geometry for phylogenetic trees ⋮ Identifiability and inference of non-parametric rates-across-sites models on large-scale phylo\-genies ⋮ Phylogenetic mixtures: concentration of measure in the large-tree limit ⋮ Geometric ergodicity of a hybrid sampler for Bayesian inference of phylogenetic branch lengths ⋮ Identifiability of large phylogenetic mixture models ⋮ Letter to editor: Rate-variation need not defeat phylogenetic inference through pairwise sequence comparisons ⋮ Inverting random functions. III: Discrete MLE revisited ⋮ Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths ⋮ Identifiability of 3-class Jukes-Cantor mixtures ⋮ Consistency and identifiability of the polymorphism-aware phylogenetic models ⋮ Large-Scale Multiple Sequence Alignment and Phylogeny Estimation ⋮ Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO ⋮ Unnamed Item

Cites Work

• Unnamed Item
• Mixed-up trees: the structure of phylogenetic mixtures
• Full reconstruction of Markov models on evolutionary trees: identifiability and consistency.
• Identifying evolutionary trees and substitution parameters for the general Markov model with invariable sites
• Matrix Analysis

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