Improved Resistance Prediction in

antimicrobial resistance (AMR) bioinformatics resistance prediction tuberculosis whole genome sequencing

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2019
Historique:
received: 04 01 2019
accepted: 15 10 2019
entrez: 19 11 2019
pubmed: 19 11 2019
medline: 19 11 2019
Statut: epublish

Résumé

Resistance in

Identifiants

pubmed: 31736907
doi: 10.3389/fmicb.2019.02464
pmc: PMC6834686
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2464

Informations de copyright

Copyright © 2019 Johnsen, Clausen, Aarestrup and Lund.

Références

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Auteurs

Camilla Hundahl Johnsen (CH)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.

Philip T L C Clausen (PTLC)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.

Frank M Aarestrup (FM)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.

Ole Lund (O)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.

Classifications MeSH