Computational aspects of DNA multifractal analysis

This paper expands a multifractal analysis technique for deoxyribonucleic acid (DNA). A previously developed technique that breaks a DNA sequence into subsequences based on the individual constituent bases, and treats each of these as strange attractors from which the multifractal dimension is estimated. Experiments are performed to determine the minimum window size, scaling multiplier and scaling range. A minimum window size of 256 bases, a dyadic scale multiplier and a scaling range from 64 to 256 bases is needed for estimation of multifractal measures. Experimental results show that the generated subsequences exhibit multifractal properties which can be localized at different positions along the sequences.