|
If you are seeing this message, you may be experiencing temporary network problems. Please wait a few minutes and refresh the page. If the problem persists, you may wish to report it to your local Network Manager.
It is also possible that your web browser is not configured or not able to display style sheets. In this case, although the visual presentation will be degraded, the site should continue to be functional. We recommend using the latest version of Microsoft or Mozilla web browser to help minimise these problems.
Wiley InterScience | ||||||||||||||||||
  EvolutionVolume 59 Issue 1, Pages 24 - 37 Published Online: 9 May 2007 © 2010, Society for the Study of Evolution Published on behalf of the Society for the Study of Evolution
Abstract | References | Full Text: PDF (Size: 388K) | Related Articles | Citation Tracking  GENE TREE DISTRIBUTIONS UNDER THE COALESCENT PROCESS Copyright 2005 The Society for the Study of Evolution KEYWORDS Coalescence • coalescent history • lineage Sorting • maximum likelihood • phylogenetics • species tree. ABSTRACTUnder the coalescent model for population divergence, lineage sorting can cause considerable variability in gene trees generated from any given species tree. In this paper, we derive a method for computing the distribution of gene tree topologies given a bifurcating species tree for trees with an arbitrary number of taxa in the case that there is one gene sampled per species. Applications for gene tree distributions include determining exact probabilities of topological equivalence between gene trees and species trees and inferring species trees from multiple datasets. In addition, we examine the shapes of gene tree distributions and their sensitivity to changes in branch lengths, species tree shape, and tree size. The method for computing gene tree distributions is implemented in the computer program COAL. Received June 18, 2004. Accepted October 8, 2004. | 
|
| ||||||||||||||||
 |
Evolution & Development |
Evolution & Development serves as a voice for the rapidly growing research community at the interface of evolutionary and developmental biology. |
|
 |
