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Solving the master equation for Indels

BACKGROUND: Despite the long-anticipated possibility of putting sequence alignment on the same footing as statistical phylogenetics, theorists have struggled to develop time-dependent evolutionary models for indels that are as tractable as the analogous models for substitution events. MAIN TEXT: Thi...

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Autor principal: Holmes, Ian H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427538/
https://www.ncbi.nlm.nih.gov/pubmed/28494756
http://dx.doi.org/10.1186/s12859-017-1665-1
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author Holmes, Ian H.
author_facet Holmes, Ian H.
author_sort Holmes, Ian H.
collection PubMed
description BACKGROUND: Despite the long-anticipated possibility of putting sequence alignment on the same footing as statistical phylogenetics, theorists have struggled to develop time-dependent evolutionary models for indels that are as tractable as the analogous models for substitution events. MAIN TEXT: This paper discusses progress in the area of insertion-deletion models, in view of recent work by Ezawa (BMC Bioinformatics 17:304, 2016); (BMC Bioinformatics 17:397, 2016); (BMC Bioinformatics 17:457, 2016) on the calculation of time-dependent gap length distributions in pairwise alignments, and current approaches for extending these approaches from ancestor-descendant pairs to phylogenetic trees. CONCLUSIONS: While approximations that use finite-state machines (Pair HMMs and transducers) currently represent the most practical approach to problems such as sequence alignment and phylogeny, more rigorous approaches that work directly with the matrix exponential of the underlying continuous-time Markov chain also show promise, especially in view of recent advances.
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spelling pubmed-54275382017-05-15 Solving the master equation for Indels Holmes, Ian H. BMC Bioinformatics Commentary BACKGROUND: Despite the long-anticipated possibility of putting sequence alignment on the same footing as statistical phylogenetics, theorists have struggled to develop time-dependent evolutionary models for indels that are as tractable as the analogous models for substitution events. MAIN TEXT: This paper discusses progress in the area of insertion-deletion models, in view of recent work by Ezawa (BMC Bioinformatics 17:304, 2016); (BMC Bioinformatics 17:397, 2016); (BMC Bioinformatics 17:457, 2016) on the calculation of time-dependent gap length distributions in pairwise alignments, and current approaches for extending these approaches from ancestor-descendant pairs to phylogenetic trees. CONCLUSIONS: While approximations that use finite-state machines (Pair HMMs and transducers) currently represent the most practical approach to problems such as sequence alignment and phylogeny, more rigorous approaches that work directly with the matrix exponential of the underlying continuous-time Markov chain also show promise, especially in view of recent advances. BioMed Central 2017-05-12 /pmc/articles/PMC5427538/ /pubmed/28494756 http://dx.doi.org/10.1186/s12859-017-1665-1 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Holmes, Ian H.
Solving the master equation for Indels
title Solving the master equation for Indels
title_full Solving the master equation for Indels
title_fullStr Solving the master equation for Indels
title_full_unstemmed Solving the master equation for Indels
title_short Solving the master equation for Indels
title_sort solving the master equation for indels
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427538/
https://www.ncbi.nlm.nih.gov/pubmed/28494756
http://dx.doi.org/10.1186/s12859-017-1665-1
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