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Bioinformatics Advance Access published online on August 23, 2007

Bioinformatics, doi:10.1093/bioinformatics/btm410
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© The Author (2007). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

CTree: comparison of clusters between phylogenetic trees made easy

John Archer * and David L Robertson

Faculty of Life Science, University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK.

*To whom correspondence should be addressed. John Archer, E-mail: john.archer{at}postgrad.manchester.ac.uk


   Abstract

Summary: CTree has been designed for the quantification of clusters within viral phylogenetic tree topologies. Clusters are stored as individual data structures from which statistical data, such as the Subtype Diversity Ratio (SDR), Subtype Diversity Variance (SDV) and pairwise distances can be extracted. This simplifies the quantification of tree topologies in relation to inter and intra cluster diversity. Here the novel features incorporated within CTree, including the implementation of a heuristic algorithm for identifying clusters, are outlined along with the more usual features found within general tree viewing software.

Availability: CTree is available as an executable jar file from: http://www.manchester.ac.ukbioinformatics/ctree.

Contact: john.archer{at}postgrad.manchester.ac.uk or david.robertson{at}manchester.ac.uk

Associate Editor: Prof. Martin Bishop


Received on June 1, 2007; revised on July 12, 2007; accepted on August 8, 2007

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