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Best match graphs

Best match graphs arise naturally as the first processing intermediate in algorithms for orthology detection. Let T be a phylogenetic (gene) tree T and [Formula: see text] an assignment of leaves of T to species. The best match graph [Formula: see text] is a digraph that contains an arc from x to y...

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Autores principales: Geiß, Manuela, Chávez, Edgar, González Laffitte, Marcos, López Sánchez, Alitzel, Stadler, Bärbel M. R., Valdivia, Dulce I., Hellmuth, Marc, Hernández Rosales, Maribel, Stadler, Peter F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534531/
https://www.ncbi.nlm.nih.gov/pubmed/30968198
http://dx.doi.org/10.1007/s00285-019-01332-9
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author Geiß, Manuela
Chávez, Edgar
González Laffitte, Marcos
López Sánchez, Alitzel
Stadler, Bärbel M. R.
Valdivia, Dulce I.
Hellmuth, Marc
Hernández Rosales, Maribel
Stadler, Peter F.
author_facet Geiß, Manuela
Chávez, Edgar
González Laffitte, Marcos
López Sánchez, Alitzel
Stadler, Bärbel M. R.
Valdivia, Dulce I.
Hellmuth, Marc
Hernández Rosales, Maribel
Stadler, Peter F.
author_sort Geiß, Manuela
collection PubMed
description Best match graphs arise naturally as the first processing intermediate in algorithms for orthology detection. Let T be a phylogenetic (gene) tree T and [Formula: see text] an assignment of leaves of T to species. The best match graph [Formula: see text] is a digraph that contains an arc from x to y if the genes x and y reside in different species and y is one of possibly many (evolutionary) closest relatives of x compared to all other genes contained in the species [Formula: see text] . Here, we characterize best match graphs and show that it can be decided in cubic time and quadratic space whether [Formula: see text] derived from a tree in this manner. If the answer is affirmative, there is a unique least resolved tree that explains [Formula: see text] , which can also be constructed in cubic time.
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spelling pubmed-65345312019-06-07 Best match graphs Geiß, Manuela Chávez, Edgar González Laffitte, Marcos López Sánchez, Alitzel Stadler, Bärbel M. R. Valdivia, Dulce I. Hellmuth, Marc Hernández Rosales, Maribel Stadler, Peter F. J Math Biol Article Best match graphs arise naturally as the first processing intermediate in algorithms for orthology detection. Let T be a phylogenetic (gene) tree T and [Formula: see text] an assignment of leaves of T to species. The best match graph [Formula: see text] is a digraph that contains an arc from x to y if the genes x and y reside in different species and y is one of possibly many (evolutionary) closest relatives of x compared to all other genes contained in the species [Formula: see text] . Here, we characterize best match graphs and show that it can be decided in cubic time and quadratic space whether [Formula: see text] derived from a tree in this manner. If the answer is affirmative, there is a unique least resolved tree that explains [Formula: see text] , which can also be constructed in cubic time. Springer Berlin Heidelberg 2019-04-09 2019 /pmc/articles/PMC6534531/ /pubmed/30968198 http://dx.doi.org/10.1007/s00285-019-01332-9 Text en © The Author(s) 2019 Open AccessThis 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.
spellingShingle Article
Geiß, Manuela
Chávez, Edgar
González Laffitte, Marcos
López Sánchez, Alitzel
Stadler, Bärbel M. R.
Valdivia, Dulce I.
Hellmuth, Marc
Hernández Rosales, Maribel
Stadler, Peter F.
Best match graphs
title Best match graphs
title_full Best match graphs
title_fullStr Best match graphs
title_full_unstemmed Best match graphs
title_short Best match graphs
title_sort best match graphs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534531/
https://www.ncbi.nlm.nih.gov/pubmed/30968198
http://dx.doi.org/10.1007/s00285-019-01332-9
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