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MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a binding site-specific evolutionary model

We introduce a method (MONKEY) to identify conserved transcription-factor binding sites in multispecies alignments. MONKEY employs probabilistic models of factor specificity and binding-site evolution, on which basis we compute the likelihood that putative sites are conserved and assign statistical...

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Detalles Bibliográficos
Autores principales: Moses, Alan M, Chiang, Derek Y, Pollard, Daniel A, Iyer, Venky N, Eisen, Michael B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545801/
https://www.ncbi.nlm.nih.gov/pubmed/15575972
http://dx.doi.org/10.1186/gb-2004-5-12-r98
Descripción
Sumario:We introduce a method (MONKEY) to identify conserved transcription-factor binding sites in multispecies alignments. MONKEY employs probabilistic models of factor specificity and binding-site evolution, on which basis we compute the likelihood that putative sites are conserved and assign statistical significance to each hit. Using genomes from the genus Saccharomyces, we illustrate how the significance of real sites increases with evolutionary distance and explore the relationship between conservation and function.