Rapid antibiotic resistance predictions from genome sequence data for S. aureus and M. tuberculosis.

@inproceedings{Bradley2015RapidAR,
  title={Rapid antibiotic resistance predictions from genome sequence data for S. aureus and M. tuberculosis.},
  author={Phelim Bradley and N Claire Gordon and Timothy M. Walker and Laura Dunn and Simon Heys and Bill Huang and Sarah G Earle and L Pankhurst and Luke W. Anson and Mariateresa de Cesare and Paolo Piazza and Antonina A. Votintseva and Tanya Golubchik and Daniel J. Wilson and David H. Wyllie and Roland Diel and Stefan Niemann and Silke Feuerriegel and Thomas Andreas Kohl and Nazir A Ismail and Shaheed V Omar and E. Grace Smith and David F. Buck and Gilean McVean and A Sarah Walker and Tundo Peto and Derrick W. Crook and Zamin Iqbal},
  year={2015}
}
Rapid and accurate detection of antibiotic resistance in pathogens is an urgent need, affecting both patient care and population-scale control. Microbial genome sequencing promises much, but many barriers exist to its routine deployment. Here, we address these challenges, using a de Bruijn graph comparison of clinical isolate and curated knowledge-base to identify species and predict resistance profile, including minor populations. This is implemented in a package, Mykrobe predictor, for S… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 61 REFERENCES

Antimicrobial resistance: global report on surveillance

W H.
  • (World Health Organization,
  • 2014

Evaluation of the AID TB Resistance Line Probe Assay for Rapid Detection of Genetic Alterations Associated with Drug Resistance in Mycobacterium tuberculosis Strains

C Ritter
  • Journal of clinical microbiology
  • 2014