Discrimination of the SARS–CoV-2 strains using of coloured s-LASCA-imaging of GB-speckles, developed for the gene “S” nucleotide sequences

Background: A recent bioinformatics technique involves changing nucleotide sequences into 2D speckles. This produces speckles called GB-speckles (Gene Based speckles). All classical strategies of speckle-optics, namely speckle-interferometry, subtraction speckle-images as well speckle-correlometry have been inferred for processing GB-speckles. indicates the considerable improvement in present tools bioinformatics. Methods: Colour s-LASCA imaging virtual laser GB-speckles, a new method high discrimination and typing pathogenic viruses, has developed. adapted to detecting natural mutations sequences, related spike glycoprotein (coding gene «S») SARS–CoV-2 molecular target. Results: The rate colouring images generated by can be described specific value R. If compared utilizing this approach relevant are completely identical, then three components resulting colour image will therefore R equal zero. However, if there at least minimal differences matched positive. Conclusion: effectiveness an application that were s-LASCA- demonstrated between different variants gene.