Literature DB >> 8697236

Complete families of linear invariants for some stochastic models of sequence evolution, with and without the molecular clock assumption.

M D Hendy1, D Penny.   

Abstract

For various models of sequence evolution, the set of linear functions of the frequencies of the nucleotide patterns forms a vector space, the invariant space. Here we distinguish between the model of nucleotide substitution, and the phylogenetic tree T describing the paths on which these changes occur. We describe a procedure to construct a basis of the invariant space for those models that are extensions of models incorporating Kimura's three substitution model of nucleotide change, including both the Jukes-Cantor and Cavender-Farris models. The dimension of the invariant space is determined, for those models where it is independent of the tree topology, as a function of the number of sequences. These are calculated where the nucleotide distribution at the root is unspecified, and both with, and without, the assumption of the molecular clock hypothesis. The invariants have a number of potential applications, including tree identification, and testing the fit of models (which could include the molecular clock) to sequence data.

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Year:  1996        PMID: 8697236     DOI: 10.1089/cmb.1996.3.19

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


  3 in total

1.  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

2.  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

3.  Rooting gene trees without outgroups: EP rooting.

Authors:  Janet S Sinsheimer; Roderick J A Little; James A Lake
Journal:  Genome Biol Evol       Date:  2012-05-16       Impact factor: 3.416

  3 in total

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