A Novel Quartet-Based Method for Phylogenetic Inference

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	Similar Articles Articles by B. B. Zhou Articles by M. Tarawneh Articles by C. Wang Articles by A. Y. Zomaya Articles by R. P. Brent

Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05)

Minneapolis, Minnesota

October 19-October 21

ISBN: 0-7695-2476-1

	ASCII Text	x
	B. B. Zhou, M. Tarawneh, C. Wang, A. Y. Zomaya, R. P. Brent, "A Novel Quartet-Based Method for Phylogenetic Inference," Bioinformatic and Bioengineering, IEEE International Symposium on, pp. 32-39, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05), 2005.

	BibTex	x
	@article{ 10.1109/BIBE.2005.7, author = {B. B. Zhou and M. Tarawneh and C. Wang and A. Y. Zomaya and R. P. Brent}, title = {A Novel Quartet-Based Method for Phylogenetic Inference}, journal ={Bioinformatic and Bioengineering, IEEE International Symposium on}, volume = {0}, year = {2005}, isbn = {0-7695-2476-1}, pages = {32-39}, doi = {http://doi.ieeecomputersociety.org/10.1109/BIBE.2005.7}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Bioinformatic and Bioengineering, IEEE International Symposium on TI - A Novel Quartet-Based Method for Phylogenetic Inference SN - 0-7695-2476-1 SP32 EP39 A1 - B. B. Zhou, A1 - M. Tarawneh, A1 - C. Wang, A1 - A. Y. Zomaya, A1 - R. P. Brent, PY - 2005 KW - null VL - 0 JA - Bioinformatic and Bioengineering, IEEE International Symposium on ER -

B. B. Zhou, University of Sydney

M. Tarawneh, University of Sydney

C. Wang, University of Sydney

A. Y. Zomaya, University of Sydney

R. P. Brent, Australian National University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBE.2005.7

In this paper we introduce a new quartet-based method. This method makes use of the Bayes (or quartet) weights of quartets as those used in the quartet puzzling. However, all the weights from the related quartets are accumulated to form a global quartet weight matrix. This matrix provides integrated information and can lead us to recursively merge small sub-trees to larger ones until the final single tree is obtained. The experimental results show that the probability for the correct tree to be among a very small number of trees constructed using our method is very high. These significant results open a new research direction to further investigate more efficient algorithms for phylogenetic inference.

Citation:

B. B. Zhou, M. Tarawneh, C. Wang, A. Y. Zomaya, R. P. Brent, "A Novel Quartet-Based Method for Phylogenetic Inference," bibe, pp.32-39, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05), 2005

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