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Bioinformatics Applications in Clinical Microbiology

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Translational Bioinformatics and Its Application

Part of the book series: Translational Medicine Research ((TRAMERE))

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Abstract

The human body is believed to house over 100 trillion microbes. These microbial communities have a tremendously influential impact on their human hosts. Although increasing evidence indicated a key role for the specific microbial species in carcinogenesis, such as Helicobacter pylori (H. pylori), Epstein-Barr virus, Human papillomavirus, and Hepatitis C virus, the underlying roles of human microbiome in cancers are still unclear. Using the bioinformatics algorithms and tools to integrate the microbiological data and clinical data could be very helpful to better understand the mechanisms of diseases. During the past decade, we have kept working on microbiome research and utilized bioinformatics methods to discover host-pathogen interactions, relationships between microbiome dynamics and diseases, and correlations between bacterial sequence variation and clinical outcomes. In this chapter, we use H. pylori as an example to demonstrate the procedure of related data integration, virulence classification, and prognosis model construction.

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Author information

Authors and Affiliations

  1. Department of Medicine and Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA

    Chao Zhang

  2. Department of Gastroenterology, Nanjing Medical University, Nanjing, Jiangsu, China

    Shunfu Xu

  3. Department of Computer Science & C.S. Bond Life Science Center, University of Missouri, Columbia, MO, USA

    Dong Xu

Authors
  1. Chao Zhang
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  2. Shunfu Xu
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  3. Dong Xu
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Corresponding author

Correspondence to Dong Xu .

Editor information

Editors and Affiliations

  1. State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China

    Dong-Qing Wei

  2. Center for Neurosciences, The Feinstein Institute for Medical Research, New York, USA

    Yilong Ma

  3. Department of Molecular Medicine, Hofstra Northwell School of Medicine, New York, USA

    William C.S. Cho

  4. Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, Hong Kong

    Qin Xu

  5. College of Computer Science & Technology, Jilin University, Changchun, Jilin, China

    Fengfeng Zhou

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© 2017 Shanghai Jiao Tong University Press, Shanghai and Springer Science+Business Media Dordrecht

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Zhang, C., Xu, S., Xu, D. (2017). Bioinformatics Applications in Clinical Microbiology. In: Wei, DQ., Ma, Y., Cho, W., Xu, Q., Zhou, F. (eds) Translational Bioinformatics and Its Application. Translational Medicine Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1045-7_15

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