Bioinformatics Tools in Clinical Microbiology and Infectious Disease Prevention Algorithms

Abstract

Bioinformatics resource is the exploitation of genome sequence data for diagnostic, therapeutic, and prevention purposes. The role of clinical genomics in infectious disease is aimed at describing the structure of outbreak communities, the methodology works equally well to identify pathogens in clinical samples. Furthermore, early detection of infectious disease in outbreaks is one of the significant issues in syndromic surveillance systems. The key concept in using clinical genomics methodology is a process of generating large-scale sequence data sets that adequately sample a specimen for microbial content and then of applying computational methods to resolve the sequences into individual species, genes, pathways, or other features. It helps to provide a rapid epidemiological response and reduce morbidity and mortality. Therefore, bioinformatics model algorithms for virus transmission and prevention in terms of resistome would be taken into consideration. The relevant future study of resistome reveals strategies that can be applied in new antibiotic discoveries.