title: Neural network method to analyze data compression in DNA and RNA sequences.
abstract: Neural network computations on RNA sequences are used to demonstrate that data compression is possible in these sequences. The result implies that a certain discrimination should be achievable between structured vs random regions. The technique is illustrated by computing the compressibility of short RNA sequences such as tRNA. The method should be valuable in measuring the information content of DNA, including noncoding DNA, which has been shown to display certain properties resembling natural language attributes.
authors.affiliation: Department of Physics, Indiana State University, Terre Haute 47809, USA.
authors.forename: T
authors.initials: T
authors.lastname: Alvager
authors.forename: G
authors.initials: G
authors.lastname: Graham
authors.forename: D
authors.initials: D
authors.lastname: Hutchison
authors.forename: J
authors.initials: J
authors.lastname: Westgard
mesh_terms: D001483:Base Sequence; D003627:Data Interpretation, Statistical; D006801:Humans; D016571:Neural Networks, Computer; D012313:RNA / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data*; D017423:Sequence Analysis, RNA / Q000706:statistics & numerical data*
chemical_list: D012313:RNA