Literature DB >> 28435014

Maximum likelihood estimates of pairwise rearrangement distances.

Stuart Serdoz1, Attila Egri-Nagy2, Jeremy Sumner3, Barbara R Holland4, Peter D Jarvis5, Mark M Tanaka6, Andrew R Francis7.   

Abstract

Accurate estimation of evolutionary distances between taxa is important for many phylogenetic reconstruction methods. Distances can be estimated using a range of different evolutionary models, from single nucleotide polymorphisms to large-scale genome rearrangements. Corresponding corrections for genome rearrangement distances fall into 3 categories: Empirical computational studies, Bayesian/MCMC approaches, and combinatorial approaches. Here, we introduce a maximum likelihood estimator for the inversion distance between a pair of genomes, using a group-theoretic approach to modelling inversions introduced recently. This MLE functions as a corrected distance: in particular, we show that because of the way sequences of inversions interact with each other, it is quite possible for minimal distance and MLE distance to differently order the distances of two genomes from a third. The second aspect tackles the problem of accounting for the symmetries of circular arrangements. While, generally, a frame of reference is locked, and all computation made accordingly, this work incorporates the action of the dihedral group so that distance estimates are free from any a priori frame of reference. The philosophy of accounting for symmetries can be applied to any existing correction method, for which examples are offered.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Algebraic biology; Coset; Genome rearrangement; Group theory; Inversion; Maximum likelihood; Phylogeny

Mesh:

Year:  2017        PMID: 28435014     DOI: 10.1016/j.jtbi.2017.04.015

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  A Preliminary Metagenome Analysis Based on a Combination of Protein Domains.

Authors:  Yoji Igarashi; Daisuke Mori; Susumu Mitsuyama; Kazutoshi Yoshitake; Hiroaki Ono; Tsuyoshi Watanabe; Yukiko Taniuchi; Tomoko Sakami; Akira Kuwata; Takanori Kobayashi; Yoshizumi Ishino; Shugo Watabe; Takashi Gojobori; Shuichi Asakawa
Journal:  Proteomes       Date:  2019-04-29

2.  A new algebraic approach to genome rearrangement models.

Authors:  Venta Terauds; Jeremy Sumner
Journal:  J Math Biol       Date:  2022-05-05       Impact factor: 2.164

  2 in total

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