In Silico Analysis of the Restriction Fragment Length Distribution in the Human Genome

In Silico Analysis of the Restriction Fragment Length Distribution in the Human Genome The Restriction On Computer (ROC) program (freely available at http://www.mcb.harvard.edu/ gilbert/ROC) was developed and used to analyze the restriction fragment length distribution in the human genome. In contrast to other programs searching for restriction sites, ROC simultaneously analyzes several long nucleotide sequences, such as the entire genomes, and in essence simulates electrophoretic analysis of DNA restriction fragments. In addition, this program extracts and analyzes DNA repeats that account for peaks in the restriction fragment length distribution. The ROC analysis data are consistent with the experimental data obtained via in vitro restriction enzyme analysis (DNA taxonoprint). A difference between the in vitro and in silico results is explained by underrepresentation of tandem DNA repeats in genomic databases. The ROC analysis of individual genome fragments elucidated the nature of several DNA markers, which were earlier revealed by DNA taxonoprint, and showed that L1 and Alurepeats are nonrandomly distributed in various chromosomes. Another advantage is that the ROC procedure makes it possible to analyze the nonrandom character of a genomic distribution of short DNA sequences. The ROC analysis showed that a low poly(G) frequency is characteristic of the entire human genome, rather than of only coding sequences. The method was proposed for a more complex in silico analysis of the genome. For instance, it is possible to simulate DNA restriction together with blot hybridization and then to analyze the nature of markers revealed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

In Silico Analysis of the Restriction Fragment Length Distribution in the Human Genome

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Publisher
Kluwer Academic Publishers-Plenum Publishers
Copyright
Copyright © 2001 by MAIK “Nauka/Interperiodica”
Subject
Biomedicine; Human Genetics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1023/A:1016642107465
Publisher site
See Article on Publisher Site

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