Abstract
The paper presents a brief synthesis of the Nucleotide Genomic Signal (NuGS) methodology used for the analysis of DNA sequences. The approach is based on the conversion of symbolic nucleotide sequences into digital genomic signals and allows the study of a large variety of problems, ranging from the study of regularities and symmetries at the scale of genomes or chromosomes, to the local analysis of nucleotide sequences, such as segments of nuclear and mitochondrial DNA, including genes, motifs or markers. The approach reveals not only current features of extant DNA sequences, but also ancestral features that existed in early DNA sequences, but disappeared during evolution, in the process of species separation. NuGS are also helpful in the study of pathogen variability and the early detection of their resistance to drugs, as well as in identifying genetic predisposition to conditions such as Diabetes mellitus.
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