Skip to main content
eScholarship
Open Access Publications from the University of California

UC San Diego

UC San Diego Previously Published Works bannerUC San Diego

A linear-time algorithm to sample the dual-birth model

Published Web Location

https://doi.org/10.1101/226423
No data is associated with this publication.
Creative Commons 'BY-NC' version 4.0 license
Abstract

The ability to sample models of tree evolution is essential in the analysis and interpretation of phylogenetic trees. The dual-birth model is an extension of the traditional birth-only model and allows for sampling trees of varying degrees of balance. However, for a tree with n leaves, the tree sampling algorithm proposed in the original paper is 𝒪( n log n ). I propose an algorithm to sample trees under the dual-birth model in 𝒪( n ), and I provide a fast C++ implementation of the proposed algorithm.

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Item not freely available? Link broken?
Report a problem accessing this item