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Type: Artigo de evento
Title: Bayesian Detection Of Coding Regions In Dna/rna Sequences Through Event Factoring
Author: Capua R.O.
Leitao H.C.D.G.
Stolfi J.
Abstract: We describe a Bayesian inference method for the identification of protein coding regions (active or residual) in DNA or RNA sequences. Its main feature is the computation of the conditional and a priori probabilities required in Bayes's formula by factoring each event (possible annotation) for a nucleotide string into the concatenation of shorter events, believed to be independent. The factoring allows us to obtain fast but reliable estimates for these parameters from readily available databases; whereas the probability estimation for unfactored events would require databases and tables of astronomical size. Promising results were obtained in tests with natural and artificial genomes. © Springer-Verlag Berlin Heidelberg 2007.
Rights: fechado
Identifier DOI: 
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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