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Shannon information and power law analysis of the chromosome code
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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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Hindawi Publishing Corporation