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Invited Keynote Talk: Integrative Viral Molecular Epidemiology: Hepatitis C Virus Modeling

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Bioinformatics Research and Applications (ISBRA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4983))

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Abstract

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.

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Authors and Affiliations

  1. Molecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30333, USA

    James Lara, Zoya Dimitrova & Yuri Khudyakov

Authors
  1. James Lara
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  2. Zoya Dimitrova
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  3. Yuri Khudyakov
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Editor information

Ion Măndoiu Raj Sunderraman Alexander Zelikovsky

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© 2008 Springer-Verlag Berlin Heidelberg

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Lara, J., Dimitrova, Z., Khudyakov, Y. (2008). Invited Keynote Talk: Integrative Viral Molecular Epidemiology: Hepatitis C Virus Modeling. In: Măndoiu, I., Sunderraman, R., Zelikovsky, A. (eds) Bioinformatics Research and Applications. ISBRA 2008. Lecture Notes in Computer Science(), vol 4983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79450-9_33

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  • DOI: https://doi.org/10.1007/978-3-540-79450-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79449-3

  • Online ISBN: 978-3-540-79450-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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