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Shannon Entropy Analysis of the Genome Code
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| Zeitschriftentitel: | Mathematical Problems in Engineering |
|---|---|
| Personen und Körperschaften: | |
| In: | Mathematical Problems in Engineering, 2012, 2012, S. 1-12 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Hindawi Limited
|
| Schlagwörter: |
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Tenreiro Machado, J. A. Tenreiro Machado, J. A. |
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Tenreiro Machado, J. A. |
| spellingShingle |
Tenreiro Machado, J. A. Mathematical Problems in Engineering Shannon Entropy Analysis of the Genome Code General Engineering General Mathematics |
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tenreiro machado, j. a. |
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Tenreiro Machado, J. A. 1024-123X 1563-5147 Hindawi Limited General Engineering General Mathematics http://dx.doi.org/10.1155/2012/132625 <jats:p>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.</jats:p> Shannon Entropy Analysis of the Genome Code Mathematical Problems in Engineering |
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Hindawi Limited, 2012 |
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Shannon Entropy Analysis of the Genome Code |
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Shannon Entropy Analysis of the Genome Code |
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Shannon Entropy Analysis of the Genome Code |
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Shannon Entropy Analysis of the Genome Code |
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Shannon Entropy Analysis of the Genome Code |
| title_short |
Shannon Entropy Analysis of the Genome Code |
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shannon entropy analysis of the genome code |
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General Engineering General Mathematics |
| url |
http://dx.doi.org/10.1155/2012/132625 |
| publishDate |
2012 |
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1-12 |
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<jats:p>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.</jats:p> |
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| author | Tenreiro Machado, J. A. |
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| container_title | Mathematical Problems in Engineering |
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| description | <jats:p>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.</jats:p> |
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| institution | DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
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| spelling | Tenreiro Machado, J. A. 1024-123X 1563-5147 Hindawi Limited General Engineering General Mathematics http://dx.doi.org/10.1155/2012/132625 <jats:p>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.</jats:p> Shannon Entropy Analysis of the Genome Code Mathematical Problems in Engineering |
| spellingShingle | Tenreiro Machado, J. A., Mathematical Problems in Engineering, Shannon Entropy Analysis of the Genome Code, General Engineering, General Mathematics |
| title | Shannon Entropy Analysis of the Genome Code |
| title_full | Shannon Entropy Analysis of the Genome Code |
| title_fullStr | Shannon Entropy Analysis of the Genome Code |
| title_full_unstemmed | Shannon Entropy Analysis of the Genome Code |
| title_short | Shannon Entropy Analysis of the Genome Code |
| title_sort | shannon entropy analysis of the genome code |
| title_unstemmed | Shannon Entropy Analysis of the Genome Code |
| topic | General Engineering, General Mathematics |
| url | http://dx.doi.org/10.1155/2012/132625 |