The conversion of symbolic nucleotide sequences into digital signals allows applying signal processing methods to the analysis of genomic data. The method reveals regularities in the distribution of nucleotides and pairs of nucleotides along the genomic sequences, that would be difficult to detect in symbolic form. The structural restrictions of genomic sequences are reflected in mathematical regularities easily noticeable in the corresponding genomic signals. This approach is also adequate for analyzing the variability of pathogens' genomes, of individual genes, or of certain critical areas, to track the development of drug resistance. The paper presents results in the study of Mycobacterium tuberculosis (MT), with applications in faster diagnosis and in the elaboration of efficient treatment strategies.