title: CTree: comparison of clusters between phylogenetic trees made easy.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  CTree is available as an executable jar file from: http://www.manchester.ac.uk/bioinformatics/ctree
authors: Faculty of Life Science, University of Manchester, Michael Smith Building, Oxford Road, Manchester, M13 9PT, UK. john.archer@postgrad.manchester.ac.uk
authors: John
authors: J
authors: Archer
authors: David L
authors: DL
authors: Robertson
mesh_terms: D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods; D016000:Cluster Analysis; D003196:Computer Graphics; D003198:Computer Simulation; D016679:Genome, Viral / Q000235:genetics*; D008957:Models, Genetic; D010802:Phylogeny; D012984:Software; D014584:User-Computer Interface; D014780:Viruses / Q000235:genetics*