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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Vélez, P. E. Garreta, L. E. Díaz, N. Moreno, P. A. Tischer, I. Gutiérrez, J. M. Amador, S. Martínez, E. |
| Description | Country affiliation: Colombia Author Affiliation: Vélez PE ( Departamento de Biología, Universidad del Cauca, Popayán, Colombia.) |
| Abstract | The Caenorhabditis elegans genome has several regular and irregular characteristics in its nucleotide composition; these are observed within and between chromosomes. To study these particularities, we carried out a multifractal analysis, which requires a large number of exponents to characterize scaling properties. We looked for a relationship between the genetic information content of the chromosomes and multifractal parameters and found less multifractality compared to the human genome. Differences in multifractality among chromosomes and in regions of chromosomes, and two group averages of chromosome regions were observed. All these differences were mainly dependent on differences in the contents of repetitive DNA. Based on these properties, we propose a nonlinear model for the structure of the C. elegans genome, with some biological implications. These results suggest that examining differences in multifractality is a viable approach for measuring local variations of genomic information contents along chromosomes. This approach could be extended to other genomes in order to characterize structural and functional regions of chromosomes. |
| e-ISSN | 16765680 |
| Journal | Genetics and Molecular Research |
| Issue Number | 2 |
| Volume Number | 9 |
| Language | English |
| Publisher | Fundação de Pesquisas Científicas de Ribeirão Preto |
| Publisher Date | 2010-05-25 |
| Publisher Place | Brazil |
| Access Restriction | Open |
| Subject Keyword | Caenorhabditis Elegans Genetics Genome Animals Chromosomes Expressed Sequence Tags Fractals Genome, Human Models, Genetic Models, Statistical Nonlinear Dynamics Sequence Analysis, Dna Research Support, Non-u.s. Gov't Discipline Genetics Discipline Molecular Biology Discipline Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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