Article
Mining Bacillus subtilis chromosome heterogeneities using hidden Markov models.
Nucleic acids research - 15 Mar 2002
Nicolas Pierre, Bize Laurent, Muri Florence, Hoebeke Mark, Rodolphe François, Ehrlich S Dusko, Prum Bernard, Bessières Philippe
Abstract excerpt
We present here the use of a new statistical segmentation method on the Bacillus subtilis chromosome sequence. Maximum likelihood parameter estimation of a hidden Markov model, based on the expectation-maximization algorithm, enables one to segment the DNA sequence according to its local composition. This approach is not based on sliding windows; it enables different compositional classes to be separated without...
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