Mycobacterium tuberculosis resistance prediction and lineage classification from genome sequencing: comparison of automated analysis tools-Reference-Cited by-同舟云学术

Mycobacterium tuberculosis resistance prediction and lineage classification from genome sequencing: comparison of automated analysis tools

Published:2017-04-20 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Schleusener Viola,Köser Claudio U.,Beckert Patrick,Niemann Stefan,Feuerriegel Silke

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/srep46327.pdf

Reference39 articles.

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2. Horsburgh, C. R. J., Barry, C. E. I. & Lange, C. Treatment of Tuberculosis. New England Journal of Medicine 373, 2149–2160. http://dx.doi.org/10.1056/NEJMra1413919, doi: 10.1056/NEJMra1413919 (2015).

3. Köser, C. U. et al. Routine Use of Microbial Whole Genome Sequencing in Diagnostic and Public Health Microbiology. PLoS Pathogens 8, e1002824. http://dx.doi.org/10.1371/journal.ppat.1002824, doi: 10.1371/journal.ppat.1002824 (2012).

4. Schön, T. et al. Mycobacterium tuberculosis drug-resistance testing: challenges, recent developments and perspectives. Clinical Microbiology and Infection: The Official Publication of the European Society of Clinical Microbiology and Infectious Diseases, doi: 10.1016/j.cmi.2016.10.022 (2016).

5. Köser, C. U. et al. Whole-Genome Sequencing for Rapid Susceptibility Testing of M. tuberculosis. The New England journal of medicine 369. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3836233/, doi: 10.1056/NEJMc1215305 (2013).

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