Nature Communications (May 2021)

A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch

  • Silvia Argimón,
  • Corin A. Yeats,
  • Richard J. Goater,
  • Khalil Abudahab,
  • Benjamin Taylor,
  • Anthony Underwood,
  • Leonor Sánchez-Busó,
  • Vanessa K. Wong,
  • Zoe A. Dyson,
  • Satheesh Nair,
  • Se Eun Park,
  • Florian Marks,
  • Andrew J. Page,
  • Jacqueline A. Keane,
  • Stephen Baker,
  • Kathryn E. Holt,
  • Gordon Dougan,
  • David M. Aanensen

DOI
https://doi.org/10.1038/s41467-021-23091-2
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Whole genome sequencing data are increasingly becoming routinely available but generating actionable insights is challenging. Here, the authors describe Pathogenwatch, a web tool for genomic surveillance of S. Typhi, and demonstrate its use for antimicrobial resistance assignment and strain risk assessment.