Sets of related signals can be represented by separating their joint variation and showing the individual signal offsets with respect to this reference. An example is the genomic signal analysis of pathogen variability. The conversion of symbolic nucleotide sequences to genomic signals allows to use signal processing methods to analyze genomic data. This approach reveals striking regularities in the distribution of nucleotides and pair of nucleotides along the sequences, in both prokaryotes and eukaryotes. Genomic signals can also be used for sequence prediction, similarly to time series prediction. The methodology is also adequate for studying the development of pathogen multiple resistance to drugs

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The digital era began in the early years of the 20th century with the introduction of the first transistors and had a significant economic impact by reshaping both the image of a successful career (promoting intellectual effort over the physical struggle) and certain branches of science.Medicine, a vital area for mankind, was among the first fields to benefit from the advantages of digital technology. Combining the most important chapters of science, researchers have developed over time equipment and methodologies that allow the permanent supervision of certain vital functions, monitoring the general state of health and investigating the status of internal organs through, for example, imaging techniques.However, medical technology is far from reaching its full potential. An area that is currently expanding is that of precision medicine-using clinical data from patients in the past, computers are predicting, through artificial intelligence or other techniques, the behavior of new subjects in certain circumstances. In order to be able to turn this concept into a common one, two main resources are needed: a lot of information (data from various medical institutions must be brought together, anonymized, standardized, and filtered in order to be processed automatically) and solid computational models.

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