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kdetrees: non-parametric estimation of phylogenetic tree distributions
Author(s) -
Grady Weyenberg,
Peter Huggins,
Christopher L. Schardl,
Daniel K. Howe,
Ruriko Yoshida
Publication year - 2014
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/btu258
Subject(s) - phylogenetic tree , tree (set theory) , coalescent theory , horizontal gene transfer , biology , set (abstract data type) , neofunctionalization , gene , clade , phylogenetics , gene duplication , parametric statistics , computational biology , genetics , computer science , mathematics , statistics , combinatorics , programming language
Although the majority of gene histories found in a clade of organisms are expected to be generated by a common process (e.g. the coalescent process), it is well known that numerous other coexisting processes (e.g. horizontal gene transfers, gene duplication and subsequent neofunctionalization) will cause some genes to exhibit a history distinct from those of the majority of genes. Such 'outlying' gene trees are considered to be biologically interesting, and identifying these genes has become an important problem in phylogenetics.

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