CTree: comparison of clusters between phylogenetic trees made easy | Zendy

John Archer | Zendy; David L. Robertson | Zendy

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CTree: comparison of clusters between phylogenetic trees made easy

Author(s) -

John Archer,

David L. Robertson

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm410

Subject(s) - executable , phylogenetic tree , tree (set theory) , pairwise comparison , computer science , software , cluster (spacecraft) , a priori and a posteriori , network topology , heuristic , relation (database) , data mining , variance (accounting) , biology , mathematics , artificial intelligence , combinatorics , operating system , genetics , philosophy , accounting , epistemology , business , gene

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.

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