Statistical Measures of the Structure of Genomic Sequences: Entropy, Complexity, and Position Information

@article{Orlov2006StatisticalMO,
  title={Statistical Measures of the Structure of Genomic Sequences: Entropy, Complexity, and Position Information},
  author={Yuriy L. Orlov and I. Ren{\'e} J. A. te Boekhorst and Irina I. Abnizova},
  journal={Journal of bioinformatics and computational biology},
  year={2006},
  volume={4 2},
  pages={
          523-36
        }
}
Identifying regions of DNA with extreme statistical characteristics is an important aspect of the structural analysis of complete genomes. Linguistic methods, mainly based on estimating word frequency, can be used for this as they allow for the delineation of regions of low complexity. Low complexity may be due to biased nucleotide composition, by tandem- or dispersed repeats, by palindrome-hairpin structures, as well as by a combination of all these features. We developed software tools in… CONTINUE READING
Highly Cited
This paper has 33 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 15 extracted citations

Statistical Characterization of Conserved Non-coding Elements in Vertebrates

te Boekhorst, 2 WalterK., Elgar, Gilks
2008
View 4 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…