ArticleJournal of mathematical biology2020
Reciprocal best match graphs.
Article in Journal of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- REvolutionH-tl 2.0: A fast and robust tool for decoding evolutionary gene histories.PLoS computational biology · 2026Article
- The Theory of Gene Family Histories.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Relative timing information and orthology in evolutionary scenarios.Algorithms for molecular biology : AMB · 2023Article
- Indirect identification of horizontal gene transfer.Journal of mathematical biology · 2021Article
- Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs.Journal of mathematical biology · 2021Article
- Best match graphs and reconciliation of gene trees with species trees.Journal of mathematical biology · 2020Article
- Reconstruction of time-consistent species trees.Algorithms for molecular biology : AMB · 2020Article
- From pairs of most similar sequences to phylogenetic best matches.Algorithms for molecular biology : AMB · 2020Article
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Authors and funding
3 authors.
Funding
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Abstract
Reciprocal best matches play an important role in numerous applications in computational biology, in particular as the basis of many widely used tools for orthology assessment. Nevertheless, very little is known about their mathematical structure. Here, we investigate the structure of reciprocal best match graphs (RBMGs). In order to abstract from the details of measuring distances, we define reciprocal best matches here as pairwise most closely related leaves in a gene tree, arguing that conceptually this is the notion that is pragmatically approximated by distance- or similarity-based heuristics. We start by showing that a graph G is an RBMG if and only if its quotient graph w.r.t. a certain thinness relation is an RBMG. Furthermore, it is necessary and sufficient that all connected components of G are RBMGs. The main result of this contribution is a complete characterization of RBMGs with 3 colors/species that can be checked in polynomial time. For 3 colors, there are three distinct classes of trees that are related to the structure of the phylogenetic trees explaining them. We derive an approach to recognize RBMGs with an arbitrary number of colors; it remains open however, whether a polynomial-time for RBMG recognition exists. In addition, we show that RBMGs that at the same time are cographs (co-RBMGs) can be recognized in polynomial time. Co-RBMGs are characterized in terms of hierarchically colored cographs, a particular class of vertex colored cographs that is introduced here. The (least resolved) trees that explain co-RBMGs can be constructed in polynomial time.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.