Analysis of probability distributions conditional on species trees has demonstrated the existence of anomalous ranked gene trees (ARGTs), ranked gene trees that are more probable than the ranked gene tree that accords with the ranked species tree. Here, to improve the characterization of ARGTs, we study enumerative and probabilistic properties of two classes of ranked labeled species trees, focusing on the presence or avoidance of certain subtree patterns associated with the production of ARGTs. We provide exact enumerations and asymptotic estimates for cardinalities of these sets of trees, showing that as the number of species increases without bound, the fraction of all ranked labeled species trees that are ARGT-producing approaches 1. This result extends beyond earlier existence results to provide a probabilistic claim about the frequency of ARGTs.
On the Number of Ranked Species Trees Producing Anomalous Ranked Gene Trees
Published 2014 in IEEE/ACM Transactions on Computational Biology & Bioinformatics
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- Publication year
2014
- Venue
IEEE/ACM Transactions on Computational Biology & Bioinformatics
- Publication date
2014-07-10
- Fields of study
Biology, Mathematics, Medicine, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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