Assessment of phylogenomic and orthology approaches for phylogenetic inference
Author(s) -
Bas E. Dutilh,
Vera van Noort,
R. T. J. M. van der Heijden,
T. Boekhout,
Berend Snel,
Martijn A. Huynen
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/btm015
Subject(s) - phylogenomics , phylogenetic tree , phylogenetics , biology , supertree , supermatrix , inference , genome , clade , evolutionary biology , tree of life (biology) , tree (set theory) , orthologous gene , computational biology , gene , genetics , computer science , artificial intelligence , mathematics , current algebra , mathematical analysis , affine lie algebra , pure mathematics , algebra over a field
Phylogenomics integrates the vast amount of phylogenetic information contained in complete genome sequences, and is rapidly becoming the standard for reliably inferring species phylogenies. There are, however, fundamental differences between the ways in which phylogenomic approaches like gene content, superalignment, superdistance and supertree integrate the phylogenetic information from separate orthologous groups. Furthermore, they all depend on the method by which the orthologous groups are initially determined. Here, we systematically compare these four phylogenomic approaches, in parallel with three approaches for large-scale orthology determination: pairwise orthology, cluster orthology and tree-based orthology.
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