| Autor: |
Lara, James, Dimitrova, Zoya, Khudyakov, Yuri |
| Zdroj: |
Bioinformatics Research & Applications (9783540794493); 2008, p355-366, 12p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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