Understanding long-range correlations in DNA sequences
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Spectrogram analysis of genomes
EURASIP Journal on Applied Signal Processing
A digital signal processing method for gene prediction with improved noise suppression
EURASIP Journal on Applied Signal Processing
Fourier analysis of symbolic data: A brief review
Digital Signal Processing
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DNA sequences can be analyzed by spectral techniques, looking for hidden periodicities. Anyway, mapping between nucleotide bases and numeric values has a strong impact on the DNA spectrum. The Minimum Entropy Mapping algorithm introduced the concept of adaptive mapping: the association between bases and numbers is not fixed, but is chosen to minimize a cost function, the spectrum entropy. In this paper, we consider adaptive mappings based on other cost functions, like Simpson Variance, Gini Difference and Bray Measure. Their different ability to detect periodicities and exonic regions is addressed and discussed.