Computational Analysis of Viral Genomes: Applications in Epidemiology

Dr. Ethan Moore

doi:10.71465/ajb.2706

journal article Open Access Oct 31, 2024

Computational Analysis of Viral Genomes: Applications in Epidemiology

Dr. Ethan Moore

American Journal of Bioinformatics Vol. 5 No. 5 pp. 11-15 · International Study Counselor

View at Publisher Save 10.71465/ajb.2706

Abstract

The rapid evolution and genetic diversity of viral genomes pose significant challenges in understanding and controlling viral diseases. Computational analysis of viral genomes provides powerful tools to study viral evolution, transmission dynamics, and epidemiology. This article explores the role of computational approaches in analyzing viral genomes, focusing on the applications of bioinformatics tools in epidemiological studies. We discuss the methods used to analyze viral genome sequences, track viral mutations, identify potential sources of outbreaks, and predict viral evolution. Additionally, we explore the challenges, opportunities, and future directions in the computational analysis of viral genomes for advancing public health responses

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Published: Oct 31, 2024
Vol/Issue: 5(5)
Pages: 11-15
License: View

Authors

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Dr. Ethan Moore

Cite This Article

Dr. Ethan Moore (2024). Computational Analysis of Viral Genomes: Applications in Epidemiology. American Journal of Bioinformatics, 5(5), 11-15. https://doi.org/10.71465/ajb.2706

Computational Analysis of Viral Genomes: Applications in Epidemiology

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