CTree: comparison of clusters between phylogenetic trees made easy

Archer, J. and Robertson, D. L. (2007) CTree: comparison of clusters between phylogenetic trees made easy. Bioinformatics, 23(21), pp. 2952-2953. (doi:10.1093/bioinformatics/btm410) (PMID:17717036)

Full text not currently available from Enlighten.

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.uk/bioinformatics/ctree

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Robertson, Professor David
Authors: Archer, J., and Robertson, D. L.
College/School:College of Medical Veterinary and Life Sciences > Institute of Infection Immunity and Inflammation
Journal Name:Bioinformatics
Publisher:Oxford University Press
ISSN:1367-4803
ISSN (Online):1367-4811
Published Online:23 August 2007

University Staff: Request a correction | Enlighten Editors: Update this record