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)
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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 |
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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 > School of Infection & Immunity College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research |
Journal Name: | Bioinformatics |
Publisher: | Oxford University Press |
ISSN: | 1367-4803 |
ISSN (Online): | 1367-4811 |
Published Online: | 23 August 2007 |
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