Improved performance predicting clarithromycin resistance in mycobacterium abscessus on an independent data set

Samuel Lipworth*, Natasha Hough, Ruaridh Buchanan, E. Grace Smith, Esther Robinson, Eliza Alexander, Tim Peto, Derrick Crook, Timothy Walker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
Original languageEnglish
Article numbere00400-19
JournalAntimicrobial Agents and Chemotherapy
Volume63
Issue number8
DOIs
Publication statusPublished - 2019
Externally publishedYes

Bibliographical note

Funding Information:
The research was supported by the National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England and by Oxford NIHR Biomedical Research Centre. T.P. is an NIHR Senior Investigator. The report presents independent research funded by NIHR. The views expressed in this publication are those of the authors and not necessarily those of the NHS, NIHR, the Department of Health or Public Health England. Computation used the Oxford Biomedical Research Computing facility, a joint development between the Wellcome Centre for Human

Funding Information:
Genetics and the Big Data Institute supported by Health Data Research UK and the NIHR Oxford Biomedical Research Centre.

Keywords

  • Macrolides
  • Mycobacterium abscessus
  • Nontuberculous mycobacteria
  • Whole-genome sequencing

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