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Methods for Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus

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Bioinformatics Research and Applications (ISBRA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9683))

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Abstract

Emergence of drug-resistant microorganisms has been recognized as a serious threat to public health since the era of chemotherapy began. This problem is extensively discussed in the context of tuberculosis treatment. Alterations in pathogen genomes are among the main mechanisms by which microorganisms exhibit drug resistance. Analysis of the reported cases and discovery of new resistance-associated mutations may contribute greatly to the development of new drugs and effective therapy management. The proposed methodology allows identifying genetic changes and assessing their contribution to resistance phenotypes.

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Acknowledgements

The authors are grateful to the Republican Scientific and Practical Center of Pulmonology and Tuberculosis of Ministry of Health of Belarus for cooperation and assistance in providing data. We express our thanks to the colleagues in Broad Institute of MIT and Harvard for collaboration in genome sequencing.

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Authors and Affiliations

  1. United Institute of Informatics Problems NASB, 6, Surganov Str., 220012, Minsk, Belarus

    Roman Sergeev, Ivan Kavaliou & Alexander Tuzikov

  2. Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA

    Andrei Gabrielian & Alex Rosenthal

  3. EPAM Systems, 1/1 Academician Kuprevich Str., 220141, Minsk, Belarus

    Ivan Kavaliou

Authors
  1. Roman Sergeev
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  2. Ivan Kavaliou
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  3. Andrei Gabrielian
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  4. Alex Rosenthal
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  5. Alexander Tuzikov
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Corresponding author

Correspondence to Roman Sergeev .

Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Georgia State University, Atlanta, Georgia, USA

    Anu Bourgeois

  2. Centre for Disease Control & Prevention, Atlanta, Georgia, USA

    Pavel Skums

  3. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Xiang Wan

  4. Georgia State University, Atlanta, Georgia, USA

    Alex Zelikovsky

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© 2016 Springer International Publishing Switzerland

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Sergeev, R., Kavaliou, I., Gabrielian, A., Rosenthal, A., Tuzikov, A. (2016). Methods for Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus. In: Bourgeois, A., Skums, P., Wan, X., Zelikovsky, A. (eds) Bioinformatics Research and Applications. ISBRA 2016. Lecture Notes in Computer Science(), vol 9683. Springer, Cham. https://doi.org/10.1007/978-3-319-38782-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-38782-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38781-9

  • Online ISBN: 978-3-319-38782-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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