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Shannon Entropy Analysis of the Genome Code

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  • J. A. Tenreiro Machado

Abstract

This paper studies the chromosome information of twenty five species, namely, mammals, fishes, birds, insects, nematodes, fungus, and one plant. A quantifying scheme inspired in the state space representation of dynamical systems is formulated. Based on this algorithm, the information of each chromosome is converted into a bidimensional distribution. The plots are then analyzed and characterized by means of Shannon entropy. The large volume of information is integrated by averaging the lengths and entropy quantities of each species. The results can be easily visualized revealing quantitative global genomic information.

Suggested Citation

  • J. A. Tenreiro Machado, 2012. "Shannon Entropy Analysis of the Genome Code," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-12, May.
    • Handle: RePEc:hin:jnlmpe:132625
    DOI: 10.1155/2012/132625
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    Cited by:

    1. Vopson, Melvin M. & Robson, Samuel C., 2021. "A new method to study genome mutations using the information entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).

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