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Journal of Automation and Information Sciences

Publicado 12 números por año

ISSN Imprimir: 1064-2315

ISSN En Línea: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Bayesian Recognition Procedure of Gene Fragments in DNA

Volumen 43, Edición 11, 2011, pp. 1-7
DOI: 10.1615/JAutomatInfScien.v43.i11.10
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SINOPSIS

On the basis of instrument of Bayesian approach and Markov chain, the recognition procedure for gene fragments is obtained. The procedure has high percentage of recognition 80−90 % and is simple and effective in computation. The applicability of the 1st order Markov chain to the recognition of gene fragments of genome of an organism Caenorhabditis Elegans is described.

REFERENCIAS
  1. Gupal A.M., Sergienko I.V., Optimal recognition procedures.

  2. Gupal A.M., Gupal N.A., Ostrovskiy A.V., Symmetry and properties of genetic information recording in DNA.

  3. Sergienko I.V., Gupal A.M., Vagis A.A., Symmetry in encoding genetic information in DNA.

  4. Sergienko I.V., Gupal A.M., Vagis A.A., Symmetry and properties of genetic information record in DNA.

  5. Batzoglou S., Alexandersson M., Pachter L.,Saxonov S. , Gene recognition.

  6. Sergienko I.V., Biletskyy B.A., Gupal A.M., Predicting torsion angles in amino acid protein sequences based on a Bayesian classification procedure on Markov chains.

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CITADO POR
  1. Sergienko I. V., Gupal A. M., Ostrovsky A. V., Recognition of DNA gene fragments using hidden Markov models, Cybernetics and Systems Analysis, 48, 3, 2012. Crossref

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