Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (13)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Strimmer, K.
Right arrow Articles by Moulton, V.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Strimmer, K.
Right arrow Articles by Moulton, V.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Molecular Biology and Evolution 18:97-99 (2001)
© 2001 Society for Molecular Biology and Evolution


LETTER

Recombination Analysis Using Directed Graphical Models

Korbinian Strimmer*, Carsten Wiuf{dagger} and Vincent Moulton{ddagger}

*Department of Zoology and
{dagger}Department of Statistics, University of Oxford, Oxford, England; and
{ddagger}FMI, Physics and Mathematics Department, Mid Sweden University, Sundsvall, Sweden

In Strimmer and Moulton (2000)Citation , we described a method for computing the likelihood of a set of sequences assuming a phylogenetic network as an evolutionary hypothesis. That approach relied on converting a given graph into a directed graphical model or stochastic network from which all desired probability distributions could be derived. In particular, we investigated how to compute likelihoods using split-graphs (Huson 1998Citation ). However, in the presence of recombination, split-graphs may not provide an appropriate choice of the underlying graph. In this letter, we propose basing the stochastic network on an ancestral recombination graph (ARG) (Hudson 1983Citation ; Griffiths and Marjoram 1996, 1997Citation ). We show that our approach using directed graphical models extends in a straightforward fashion to ARGs, and we outline the computation of their likelihoods. In particular, we provide an example of an ARG whose likelihood is greater than that of a competing nonnested tree, . . . [Full Text of this Article]

Acknowledgements

Footnotes

literature cited


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Syst BiolHome page
E. W. Bloomquist and M. A. Suchard
Unifying Vertical and Nonvertical Evolution: A Stochastic ARG-based Framework
Syst Biol, November 9, 2009; (2009) syp076v1.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
G. Cardona, M. Llabres, F. Rossello, and G. Valiente
A distance metric for a class of tree-sibling phylogenetic networks
Bioinformatics, July 1, 2008; 24(13): 1481 - 1488.
[Abstract] [Full Text] [PDF]


Home page
Syst BiolHome page
O. Gauthier and F.-J. Lapointe
Seeing the Trees for the Network: Consensus, Information Content, and Superphylogenies
Syst Biol, April 1, 2007; 56(2): 345 - 355.
[Full Text] [PDF]


Home page
Am. J. Bot.Home page
C. R. Linder and L. H. Rieseberg
Reconstructing patterns of reticulate evolution in plants.
Am. J. Botany, October 1, 2004; 91: 1700 - 1708.
[Abstract] [Full Text] [PDF]


Home page
Mol Biol EvolHome page
D. Bryant and V. Moulton
Neighbor-Net: An Agglomerative Method for the Construction of Phylogenetic Networks
Mol. Biol. Evol., February 1, 2004; 21(2): 255 - 265.
[Abstract] [Full Text] [PDF]