Bioinformatics Tools In Clinical Microbiology and Infectious Disease Prevention Algorithms
10.15520/jmbas.v6i9.157
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.
How to Cite
Hyunjo Kim (2018). Bioinformatics Tools In Clinical Microbiology and Infectious Disease Prevention Algorithms. Journal of Medical Biomedical and Applied Sciences , Vol. 6 No. 9 (2018) , 159-165 . https://doi.org/10.15520/jmbas.v6i9.157