2007 Fiscal Year Final Research Report Summary
Discrimination of Species with Disorder of DNA Sequences and its Application to Evolution in Introns
| Project/Area Number |
17500146
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | University of Miyazaki |
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Principal Investigator |
YOSHIHARA Ikuo University of Miyazaki, Faculty of Engineering, Dept.of CS and Sys.Engineering, Professor (20322315)
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| Co-Investigator(Kenkyū-buntansha) |
YASUNAGA Moritoshi University of Thukuba, Graduate School of CS, Professor (80272178)
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| Project Period (FY) |
2005 – 2007
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| Keywords | imprint of evolution / DNA sequences / evolutionary tree / information entropy / 1 / f fluctuation / fossil |
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| Research Abstract |
It is believed that evolutionary imprints have been accumulated in DNA sequence of chromosome and most of the DNA analyzing methods are based on pattern matching technology. However, it is doubtful to find almost all the significant schemes are known well in advance and also it is difficult to analyze precisely in case of getting only few fossil or sample.
In such cases, a method to compare species in brief is probably welcome, even if accuracy is not enough high. Then we think out a novel method that employs disorder or irregularity of the DNA sequences to compare species. Species are compared each other from the viewpoint of irregularity of DNA sequences instead of conventional methods. The merit of the method is no need of the preliminary knowledge of the species or genes, because this method doesn't require characteristics or analyzed information of the sequence, beforehand.
On the other hand, even if irregular indices are the same, it does not directly mean the species are the same. It is desirable to check the sequences from the view point some indices of irregularity. I tried to apply various methods, e.g. statistics, physical, statistical amounts like the long distance order degree etc. of several statistics, the 1/f fluctuation, the information entropy, and the quantum statistics mechanics like the occurrence rate etc. Many experiments lead us to the conclusion that the proposed method distinguishes if the living creature is comparatively near or far, but it is hard to obtain the taxonomical trees only with the indices of irregularity.
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Research Products
(22 results)
