Shannon Information and Power Law Analysis of the Chromosome Code | Zendy

J. A. Tenreiro Machado | Zendy

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Shannon Information and Power Law Analysis of the Chromosome Code

Author(s) -

J. A. Tenreiro Machado

Publication year - 2012

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2012/439089

Subject(s) - mathematics , alphabet , histogram , character (mathematics) , entropy (arrow of time) , ascii , chromosome , word (group theory) , information theory , statistics , artificial intelligence , computer science , linguistics , biology , genetics , philosophy , physics , geometry , quantum mechanics , image (mathematics) , gene , operating system

This paper studies the information content of the chromosomes of twenty-three species. Several statistics considering different number of bases for alphabet character encoding are derived. Based on the resulting histograms, word delimiters and character relative frequencies are identified. The knowledge of this data allows moving along each chromosome while evaluating the flow of characters and words. The resulting flux of information is captured by means of Shannon entropy. The results are explored in the perspective of power law relationships allowing a quantitative evaluation of the DNA of the species

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