Informatics-Driven Infectious Disease Research

  • Bruno Sobral
  • Chunhong Mao
  • Maulik Shukla
  • Dan Sullivan
  • Chengdong Zhang
Conference paper

DOI: 10.1007/978-3-642-29752-6_1

Volume 273 of the book series Communications in Computer and Information Science (CCIS)
Cite this paper as:
Sobral B., Mao C., Shukla M., Sullivan D., Zhang C. (2013) Informatics-Driven Infectious Disease Research. In: Fred A., Filipe J., Gamboa H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2011. Communications in Computer and Information Science, vol 273. Springer, Berlin, Heidelberg

Abstract

Informatics-driven approaches change how research and development are conducted, who participates, and enables systems-oriented views of science and research. Most life sciences researchers have a very strong desire for the full integration of data and analysis tools delivered through a single interface. Infectious disease (ID) research and development provides a uniquely challenging and high impact opportunity. The biological complexity of infectious disease systems, which are composed of multiple scales of interactions between potential pathogens, hosts, vectors, and the environment, challenges information resources because of the breadth of organism-organism and organism-environment interactions. Applications of integrated data for ID serves a variety of constituencies, such as clinicians, diagnostician, drug and vaccine developers, and epidemiologists. Thus there is a complexity that makes ID an opportune area in which to develop, deploy and use CyberInfrastructure.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Bruno Sobral
    • 1
  • Chunhong Mao
    • 1
  • Maulik Shukla
    • 1
  • Dan Sullivan
    • 1
  • Chengdong Zhang
    • 1
  1. 1.Virginia Bioinformatics Institute at Virginia TechBlacksburgU.S.A.