2008 | OriginalPaper | Buchkapitel
Invited Keynote Talk: Integrative Viral Molecular Epidemiology: Hepatitis C Virus Modeling
verfasst von : James Lara, Zoya Dimitrova, Yuri Khudyakov
Erschienen in: Bioinformatics Research and Applications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Traditional molecular epidemiology of viral infections is based on identifying genetic markers to assist in epidemiological investigation. The limitations of early molecular technologies led to preponderance of analytical methodology focused on the viral agent itself. Computational analysis was almost exclusively used for phylogenetic inference. Embracing the approaches and achievements of the traditional molecular epidemiology, integrative molecular epidemiology of viral infections expands into a comprehensive analysis of all factors involved into defining outcomes of exposure of a person(s) to viral infections. The major emphasis of this scientific discipline is on the development of predictive models that can be used in different clinical and public health settings. The current paper briefly reviews a few examples that illustrate a new trend in integrative molecular epidemiology striving to quantitatively define viral properties and parameters using primary structure of viral genomes.