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Relative entropy of DNA and its application

Author

Listed:
  • Li, Chun
  • Wang, Jun
Abstract
The numerical characterization of DNA sequences provides a quantitative analysis of data on DNA sequences. In this paper, we construct a 12-component vector based on the information theory to characterize DNA sequences. A potential application of the introduced vector to discriminating protein coding and non-coding sequences in the yeast genome is briefly discussed.

Suggested Citation

  • Li, Chun & Wang, Jun, 2005. "Relative entropy of DNA and its application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 347(C), pages 465-471.
    • Handle: RePEc:eee:phsmap:v:347:y:2005:i:c:p:465-471
    DOI: 10.1016/j.physa.2004.08.041
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    Cited by:

    1. Babaei Balderlou, Saharnaz & Ebrahimi Torki, Mahyar & Heidari, Hassan, 2013. "تفكيك اثرات منشأ شوك‌هاي نفتي بر همبستگی پویای بین رشد بخش صنعت و معدن و قیمت نفت خام در ایران [Separation of the Effects of Oil Price Shocks Origin on Dynamic Correlation between Growth of Industr," MPRA Paper 79257, University Library of Munich, Germany.
    2. Sebastián Berazategui & Emilio Landinelli & Daniel Ramírez, 2013. "Una comparación del comportamiento innovador entre Cooperativas de Trabajo y Empresas Capitalistas en Uruguay," Documentos de Investigación Estudiantil (students working papers) 13-02, Instituto de Economía - IECON.

    More about this item

    Keywords

    DNA; Set; Order relation; Entropy;
    All these keywords.

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