Nucleic Acid Structural Properties Identified by Genomic Signal Analysis

The conversion of nucleotide sequences into digital genomic signals allows using signal processing methods for the analysis of genomic data. Nucleotide genomic signal (NGS) analysis reveals surprising regularities in the distribution of nucleotides and pairs of nucleotides, in both prokaryotes and eukaryotes. These structural and statistical restrictions of genomic sequences would be difficult to identify by using only statistical and pattern matching methods, as in standard symbolic sequence analysis. NGS analysis is also efficient in the analysis of local structural features, in particular for the study of pathogen variability. This is important for the molecular level detection of mutations that induce drug resistance, providing the clinician with information needed for a fast and accurate decision, and avoiding the lengthily and expensive phenotypic clinical studies requesting pathogen culture. Key-Words: Nucleotide genomic signals, Sequence structure, Exon re-orientation