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The multiple gene duplication problem revisited

Motivation: Deciphering the location of gene duplications and multiple gene duplication episodes on the Tree of Life is fundamental to understanding the way gene families and genomes evolve. The multiple gene duplication problem provides a framework for placing gene duplication events onto nodes of...

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Detalles Bibliográficos
Autores principales: Bansal, Mukul S., Eulenstein, Oliver
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718628/
https://www.ncbi.nlm.nih.gov/pubmed/18586705
http://dx.doi.org/10.1093/bioinformatics/btn150
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author Bansal, Mukul S.
Eulenstein, Oliver
author_facet Bansal, Mukul S.
Eulenstein, Oliver
author_sort Bansal, Mukul S.
collection PubMed
description Motivation: Deciphering the location of gene duplications and multiple gene duplication episodes on the Tree of Life is fundamental to understanding the way gene families and genomes evolve. The multiple gene duplication problem provides a framework for placing gene duplication events onto nodes of a given species tree, and detecting episodes of multiple gene duplication. One version of the multiple gene duplication problem was defined by Guigó et al. in 1996. Several heuristic solutions have since been proposed for this problem, but no exact algorithms were known. Results: In this article we solve this longstanding open problem by providing the first exact and efficient solution. We also demonstrate the improvement offered by our algorithm over the best heuristic approaches, by applying it to several simulated as well as empirical datasets. Contact: oeulenst@cs.iastate.edu
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spelling pubmed-27186282009-07-31 The multiple gene duplication problem revisited Bansal, Mukul S. Eulenstein, Oliver Bioinformatics Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto Motivation: Deciphering the location of gene duplications and multiple gene duplication episodes on the Tree of Life is fundamental to understanding the way gene families and genomes evolve. The multiple gene duplication problem provides a framework for placing gene duplication events onto nodes of a given species tree, and detecting episodes of multiple gene duplication. One version of the multiple gene duplication problem was defined by Guigó et al. in 1996. Several heuristic solutions have since been proposed for this problem, but no exact algorithms were known. Results: In this article we solve this longstanding open problem by providing the first exact and efficient solution. We also demonstrate the improvement offered by our algorithm over the best heuristic approaches, by applying it to several simulated as well as empirical datasets. Contact: oeulenst@cs.iastate.edu Oxford University Press 2008-07-01 /pmc/articles/PMC2718628/ /pubmed/18586705 http://dx.doi.org/10.1093/bioinformatics/btn150 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto
Bansal, Mukul S.
Eulenstein, Oliver
The multiple gene duplication problem revisited
title The multiple gene duplication problem revisited
title_full The multiple gene duplication problem revisited
title_fullStr The multiple gene duplication problem revisited
title_full_unstemmed The multiple gene duplication problem revisited
title_short The multiple gene duplication problem revisited
title_sort multiple gene duplication problem revisited
topic Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718628/
https://www.ncbi.nlm.nih.gov/pubmed/18586705
http://dx.doi.org/10.1093/bioinformatics/btn150
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