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DTL reconciliation repair

BACKGROUND: Maximum parsimony phylogenetic tree reconciliation is an important technique for reconstructing the evolutionary histories of hosts and parasites, genes and species, and other interdependent pairs. Since the problem of finding temporally feasible maximum parsimony reconciliations is NP-c...

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Detalles Bibliográficos
Autores principales: Ma, Weiyun, Smirnov, Dmitriy, Libeskind-Hadas, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374596/
https://www.ncbi.nlm.nih.gov/pubmed/28361686
http://dx.doi.org/10.1186/s12859-017-1463-9
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author Ma, Weiyun
Smirnov, Dmitriy
Libeskind-Hadas, Ran
author_facet Ma, Weiyun
Smirnov, Dmitriy
Libeskind-Hadas, Ran
author_sort Ma, Weiyun
collection PubMed
description BACKGROUND: Maximum parsimony phylogenetic tree reconciliation is an important technique for reconstructing the evolutionary histories of hosts and parasites, genes and species, and other interdependent pairs. Since the problem of finding temporally feasible maximum parsimony reconciliations is NP-complete, current methods use either exact algorithms with exponential worst-case running time or heuristics that do not guarantee optimal solutions. RESULTS: We offer an efficient new approach that begins with a potentially infeasible maximum parsimony reconciliation and iteratively “repairs” it until it becomes temporally feasible. CONCLUSIONS: In a non-trivial number of cases, this approach finds solutions that are better than those found by the widely-used Jane heuristic.
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spelling pubmed-53745962017-03-31 DTL reconciliation repair Ma, Weiyun Smirnov, Dmitriy Libeskind-Hadas, Ran BMC Bioinformatics Research BACKGROUND: Maximum parsimony phylogenetic tree reconciliation is an important technique for reconstructing the evolutionary histories of hosts and parasites, genes and species, and other interdependent pairs. Since the problem of finding temporally feasible maximum parsimony reconciliations is NP-complete, current methods use either exact algorithms with exponential worst-case running time or heuristics that do not guarantee optimal solutions. RESULTS: We offer an efficient new approach that begins with a potentially infeasible maximum parsimony reconciliation and iteratively “repairs” it until it becomes temporally feasible. CONCLUSIONS: In a non-trivial number of cases, this approach finds solutions that are better than those found by the widely-used Jane heuristic. BioMed Central 2017-03-14 /pmc/articles/PMC5374596/ /pubmed/28361686 http://dx.doi.org/10.1186/s12859-017-1463-9 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 Research
Ma, Weiyun
Smirnov, Dmitriy
Libeskind-Hadas, Ran
DTL reconciliation repair
title DTL reconciliation repair
title_full DTL reconciliation repair
title_fullStr DTL reconciliation repair
title_full_unstemmed DTL reconciliation repair
title_short DTL reconciliation repair
title_sort dtl reconciliation repair
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374596/
https://www.ncbi.nlm.nih.gov/pubmed/28361686
http://dx.doi.org/10.1186/s12859-017-1463-9
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