A workflow for accelerated evolutionary analysis of genetic sequences
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1295Keywords:
Big Data, Genetic Distance, WorkflowAbstract
By nature, viruses are constantly mutating. Although most mutations do not change the behavior of a virus, some of these mutations can generate new variants, which, for example, can make a virus spread more quickly. One way to verify this evolution is through evolutive models. Therefore, the objective of this work is to evaluate the genetic evolution of viruses. The method used is pairwise alignment of the virus sequences, followed by calculation of genetic distance. Furthermore, to allow the evaluation of a large amount of sequence, these two steps are implemented through a Workflow. Results obtained through two case studies using the SARS-COV-2 and monkeypox viruses, showed not only the excellent performance of the workflow, considerably reducing the analysis execution time, but also the evolution of their genetic sequences.
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