title: Finding borders between coding and noncoding DNA regions by an entropic segmentation method.
abstract: We present a new computational approach to finding borders between coding and noncoding DNA. This approach has two features: (i) DNA sequences are described by a 12-letter alphabet that captures the differential base composition at each codon position, and (ii) the search for the borders is carried out by means of an entropic segmentation method which uses only the general statistical properties of coding DNA. We find that this method is highly accurate in finding borders between coding and noncoding regions and requires no "prior training" on known data sets. Our results appear to be more accurate than those obtained with moving windows in the discrimination of coding from noncoding DNA.
authors.affiliation: Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215, USA.
authors.forename: P
authors.initials: P
authors.lastname: Bernaola-Galván
authors.forename: I
authors.initials: I
authors.lastname: Grosse
authors.forename: P
authors.initials: P
authors.lastname: Carpena
authors.forename: J L
authors.initials: JL
authors.lastname: Oliver
authors.forename: R
authors.initials: R
authors.lastname: Román-Roldán
authors.forename: H E
authors.initials: HE
authors.lastname: Stanley
mesh_terms: D004247:DNA / Q000737:chemistry* / Q000235:genetics*; D019277:Entropy; D005815:Genetic Code; D008962:Models, Theoretical
chemical_list: D004247:DNA