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Spidermonkey: rapid detection of co-evolving sites using Bayesian graphical models
Author(s) -
Art F. Y. Poon,
Fraser Lewis,
Simon D. W. Frost,
Sergei L. Kosakovsky Pond
Publication year - 2008
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/btn313
Subject(s) - graphical model , co occurrence , computer science , bayesian probability , software , graphical user interface , data mining , artificial intelligence , programming language
Spidermonkey is a new component of the Datamonkey suite of phylogenetic tools that provides methods for detecting coevolving sites from a multiple alignment of homologous nucleotide or amino acid sequences. It reconstructs the substitution history of the alignment by maximum likelihood-based phylogenetic methods, and then analyzes the joint distribution of substitution events using Bayesian graphical models to identify significant associations among sites.

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