Document Detail


CTree: comparison of clusters between phylogenetic trees made easy.
MedLine Citation:
PMID:  17717036     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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
Authors:
John Archer; David L Robertson
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-08-23
Journal Detail:
Title:  Bioinformatics (Oxford, England)     Volume:  23     ISSN:  1367-4811     ISO Abbreviation:  Bioinformatics     Publication Date:  2007 Nov 
Date Detail:
Created Date:  2007-11-20     Completed Date:  2007-12-21     Revised Date:  2009-11-04    
Medline Journal Info:
Nlm Unique ID:  9808944     Medline TA:  Bioinformatics     Country:  England    
Other Details:
Languages:  eng     Pagination:  2952-3     Citation Subset:  IM    
Affiliation:
Faculty of Life Science, University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK. john.archer@postgrad.manchester.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Chromosome Mapping / methods
Cluster Analysis*
Computer Graphics
Computer Simulation
Genome, Viral / genetics*
Models, Genetic*
Phylogeny*
Software*
User-Computer Interface
Viruses / genetics*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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