Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe [version 1; peer review: 2 approved, 1 approved with reservations]

Hunt, M, Bradley, P, Lapierre, SG et al. (27 more authors) (2019) Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe [version 1; peer review: 2 approved, 1 approved with reservations]. Wellcome Open Research, 4. 191. ISSN 2398-502X

Abstract

Metadata

Authors/Creators:
  • Hunt, M
  • Bradley, P
  • Lapierre, SG
  • Heys, S
  • Thomsit, M
  • Hall, MB
  • Malone, KM
  • Wintringer, P
  • Walker, TM
  • Cirillo, DM
  • Comas, I
  • Farhat, MR
  • Fowler, P
  • Gardy, J
  • Ismail, N
  • Kohl, TA
  • Mathys, V
  • Merker, M
  • Niemann, S
  • Omar, SV
  • Sintchenko, V
  • Smith, G
  • Soolingen, DV
  • Supply, P
  • Tahseen, S
  • Wilcox, M https://orcid.org/0000-0002-4565-2868
  • Arandjelovic, I
  • Peto, TEA
  • Crook, DW
  • Iqbal, Z
Copyright, Publisher and Additional Information: © 2019 Hunt M et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Antimicrobial resistance; tuberculosis; diagnostic; nanopore; whole genome sequencing; antibiotic treatment
Dates:
  • Published: 2 December 2019
  • Accepted: 1 December 2019
  • Published (online): 2 December 2019
Institution: The University of Leeds
Depositing User: Symplectic Publications
Date Deposited: 14 May 2020 15:18
Last Modified: 14 May 2020 15:18
Status: Published
Publisher: F1000Research
Identification Number: https://doi.org/10.12688/wellcomeopenres.15603.1

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