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Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs

Genome-scale orthology assignments are usually based on reciprocal best matches. In the absence of horizontal gene transfer (HGT), every pair of orthologs forms a reciprocal best match. Incorrect orthology assignments therefore are always false positives in the reciprocal best match graph. We consid...

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Autores principales: Schaller, David, Geiß, Manuela, Stadler, Peter F., Hellmuth, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894253/
https://www.ncbi.nlm.nih.gov/pubmed/33606106
http://dx.doi.org/10.1007/s00285-021-01564-8
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author Schaller, David
Geiß, Manuela
Stadler, Peter F.
Hellmuth, Marc
author_facet Schaller, David
Geiß, Manuela
Stadler, Peter F.
Hellmuth, Marc
author_sort Schaller, David
collection PubMed
description Genome-scale orthology assignments are usually based on reciprocal best matches. In the absence of horizontal gene transfer (HGT), every pair of orthologs forms a reciprocal best match. Incorrect orthology assignments therefore are always false positives in the reciprocal best match graph. We consider duplication/loss scenarios and characterize unambiguous false-positive (u-fp) orthology assignments, that is, edges in the best match graphs (BMGs) that cannot correspond to orthologs for any gene tree that explains the BMG. Moreover, we provide a polynomial-time algorithm to identify all u-fp orthology assignments in a BMG. Simulations show that at least [Formula: see text] of all incorrect orthology assignments can be detected in this manner. All results rely only on the structure of the BMGs and not on any a priori knowledge about underlying gene or species trees.
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spelling pubmed-78942532021-02-22 Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs Schaller, David Geiß, Manuela Stadler, Peter F. Hellmuth, Marc J Math Biol Article Genome-scale orthology assignments are usually based on reciprocal best matches. In the absence of horizontal gene transfer (HGT), every pair of orthologs forms a reciprocal best match. Incorrect orthology assignments therefore are always false positives in the reciprocal best match graph. We consider duplication/loss scenarios and characterize unambiguous false-positive (u-fp) orthology assignments, that is, edges in the best match graphs (BMGs) that cannot correspond to orthologs for any gene tree that explains the BMG. Moreover, we provide a polynomial-time algorithm to identify all u-fp orthology assignments in a BMG. Simulations show that at least [Formula: see text] of all incorrect orthology assignments can be detected in this manner. All results rely only on the structure of the BMGs and not on any a priori knowledge about underlying gene or species trees. Springer Berlin Heidelberg 2021-02-19 2021 /pmc/articles/PMC7894253/ /pubmed/33606106 http://dx.doi.org/10.1007/s00285-021-01564-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Schaller, David
Geiß, Manuela
Stadler, Peter F.
Hellmuth, Marc
Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs
title Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs
title_full Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs
title_fullStr Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs
title_full_unstemmed Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs
title_short Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs
title_sort complete characterization of incorrect orthology assignments in best match graphs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894253/
https://www.ncbi.nlm.nih.gov/pubmed/33606106
http://dx.doi.org/10.1007/s00285-021-01564-8
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