4.7 Article

Spidermonkey: rapid detection of co-evolving sites using Bayesian graphical models

Journal

BIOINFORMATICS
Volume 24, Issue 17, Pages 1949-1950

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btn313

Keywords

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Funding

  1. National Institutes of Health [AI43638, AI47745, AI57167]
  2. University of California San Diego Centers for AIDS Research/National Institute of Allergy and Infectious Disease (NIAID) [AI36214]
  3. Wellcome Trust

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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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