Harmonisation of in-silico next-generation sequencing based methods for diagnostics and surveillance

  • J. Nunez-Garcia (Creator)
  • Manal AbuOun (Creator)
  • N. Storey (Creator)
  • Mike Brouwer (Creator)
  • J. F. Delgado-Blas (Creator)
  • S. S. Mo (Creator)
  • N. Ellaby (Creator)
  • Kees Veldman (Creator)
  • Marisa Haenni (Creator)
  • P. Châtre (Creator)
  • Jean Yves Madec (Creator)
  • Jens Andre Hammerl (Creator)
  • C. Serna (Creator)
  • M. Getino (Creator)
  • Roberto La Ragione (Creator)
  • T. Naas (Creator)
  • A. A. Telke (Creator)
  • Philippe Glaser (Creator)
  • M. Sunde (Creator)
  • Bruno Gonzalez-Zorn (Creator)
  • M.J. Ellington (Creator)
  • Muna F. Anjum (Creator)

Dataset

Description

This data was used for a study to evaluate the sensitivity and specificity of five well-established in-silico AMR detection software, produced from whole genome sequencing a panel of 438 Escherichia coli.
Date made available10 Feb 2022
PublisherWageningen University & Research

Keywords

  • Multispecies
  • Escherichia coli

Accession numbers

  • PRJNA805266

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