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The Reliability and Stability of an Inferred Phylogenetic Tree from Empirical Data
Author(s) -
Y Katsura,
Craig Stanley,
Sudhir Kumar,
Masatoshi Nei
Publication year - 2016
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msw272
Subject(s) - phylogenetic tree , tree (set theory) , reliability (semiconductor) , stability (learning theory) , biology , outgroup , sequence (biology) , statistics , clade , combinatorics , mathematics , computer science , physics , paleontology , machine learning , genetics , power (physics) , quantum mechanics , gene
The reliability of a phylogenetic tree obtained from empirical data is usually measured by the bootstrap probability (Pb) of interior branches of the tree. If the bootstrap probability is high for most branches, the tree is considered to be reliable. If some interior branches show relatively low bootstrap probabilities, we are not sure that the inferred tree is really reliable. Here, we propose another quantity measuring the reliability of the tree called the stability of a subtree. This quantity refers to the probability of obtaining a subtree (Ps) of an inferred tree obtained. We then show that if the tree is to be reliable, both Pb and Ps must be high. We also show that Ps is given by a bootstrap probability of the subtree with the closest outgroup sequence, and computer program RESTA for computing the Pb and Ps values will be presented.

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