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We propose a generalized L\'evy walk to model fractal landscapes observed in noncoding DNA sequences. We find that this model provides a very close approximation to the empirical data and explains a number of statistical properties of genomic DNA sequences such as the distribution of strand-biased regions (those with an excess of one type of nucleotide) as well as local changes in the slope of the correlation exponent. The generalized L\'evy-walk model simultaneously accounts for the long-range correlations in noncoding DNA sequences and for the apparently paradoxical finding of long subregions of biased random walks (length l₉) within these correlated sequences. In the generalized L\'evy-walk model, the l₉ are chosen from a power-law distribution P (l₉) l₉^-. The correlation exponent is related to through =2-/2 if 23. The model is consistent with the finding of ``repetitive elements'' of variable length interspersed within noncoding DNA.
Buldyrev et al. (Tue,) studied this question.