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Research Article

Neural Network Method To Analyze Data Compression in DNA and RNA Sequences

T. Alvager,*^† G. Graham,^‡ D. Hutchison,^‡ and J. Westgard^†

Departments of Physics and Mathematics and Computer Science, Indiana State University, Terre Haute, Indiana 47809

J. Chem. Inf. Comput. Sci., 1997, 37 (2), pp 335–337

DOI: 10.1021/ci960119k

Publication Date (Web): March 24, 1997

In papers with more than one author, the asterisk indicates the name of the author to whom inquiries about the paper should be addressed.

†

Department of Physics.

‡

Department of Mathematics and Computer Science.

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.

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