Shannon information and self-similarity in whole genomes
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| Title: | Shannon information and self-similarity in whole genomes |
|---|---|
| Authors: | Chen, Ta-Yuan1, Hsieh, Li-Ching2, Lee, Hoong-Chien1 hclee@phy.ncu.edu.tw |
| Source: | Computer Physics Communications. Jul2005, Vol. 169 Issue 1-3, p218-221. 4p. |
| Subjects: | Genomes, Stochastic analysis, Genetics, Genetic mutation |
| Abstract: | Abstract: The Shannon information (SI) in distributions of occurrence frequency of short words in whole genomes is shown to exhibit universality. For given word length, the SI in genomes of all lengths is the same as that in random sequences of a universal lengths . For the shorter words is far shorter than the genome. For example, bases for three-letter words. We further show that whole genomes are highly self-similar in the sense that any segment of the genome down to a length of , about twice , also shares the universal property. We devise a simple genome growth model in which genome-size sequences grown by maximally stochastic segmental duplication and random mutation possess the universal and self-similar properties of genomes. [Copyright &y& Elsevier] |
| Copyright of Computer Physics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 18094474 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Shannon information and self-similarity in whole genomes – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Ta-Yuan%22">Chen, Ta-Yuan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hsieh%2C+Li-Ching%22">Hsieh, Li-Ching</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Hoong-Chien%22">Lee, Hoong-Chien</searchLink><relatesTo>1</relatesTo><i> hclee@phy.ncu.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Physics+Communications%22">Computer Physics Communications</searchLink>. Jul2005, Vol. 169 Issue 1-3, p218-221. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Genomes%22">Genomes</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Genetics%22">Genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+mutation%22">Genetic mutation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: The Shannon information (SI) in distributions of occurrence frequency of short words in whole genomes is shown to exhibit universality. For given word length, the SI in genomes of all lengths is the same as that in random sequences of a universal lengths . For the shorter words is far shorter than the genome. For example, bases for three-letter words. We further show that whole genomes are highly self-similar in the sense that any segment of the genome down to a length of , about twice , also shares the universal property. We devise a simple genome growth model in which genome-size sequences grown by maximally stochastic segmental duplication and random mutation possess the universal and self-similar properties of genomes. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Physics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=18094474 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cpc.2005.03.050 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 218 Subjects: – SubjectFull: Genomes Type: general – SubjectFull: Stochastic analysis Type: general – SubjectFull: Genetics Type: general – SubjectFull: Genetic mutation Type: general Titles: – TitleFull: Shannon information and self-similarity in whole genomes Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Ta-Yuan – PersonEntity: Name: NameFull: Hsieh, Li-Ching – PersonEntity: Name: NameFull: Lee, Hoong-Chien IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2005 Type: published Y: 2005 Identifiers: – Type: issn-print Value: 00104655 Numbering: – Type: volume Value: 169 – Type: issue Value: 1-3 Titles: – TitleFull: Computer Physics Communications Type: main |
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