title: A probabilistic model for detecting coding regions in DNA sequences.
abstract: A probabilistic model is presented to predict whether or not an anonymous sequence of DNA contains exons. The method is shown to be at least as reliable as Grail, a well-known neural network solution to the problem, and to be significantly more amenable to customization for specific prediction problems.
authors: School of Mathematical Sciences, University of Bath, UK.
authors: A
authors: A
authors: Thomas
authors: M H
authors: MH
authors: Skolnick
mesh_terms: D001483:Base Sequence; D003062:Codon; D004247:DNA / Q000737:chemistry / Q000235:genetics*; D005091:Exons; D005815:Genetic Code; D015233:Models, Statistical; D008969:Molecular Sequence Data; D011336:Probability; D011897:Random Allocation; D012984:Software
chemical_list: D003062:Codon; D004247:DNA