Inferring antibiotic susceptibility from metagenomic data: dream or reality?

Ruppé, Etienne; d'Humières, Camille; Armand-Lefèvre, Laurence

Ruppé, Etienne; d'Humières, Camille; Armand-Lefèvre, Laurence.

Afiliação

Ruppé E; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, IAME, F-75018 Paris, France; Service de Bactériologie, AP-HP, Hôpital Bichat-Claude Bernard, F-75018, Paris, France. Electronic address: etienne.ruppe@aphp.fr.
d'Humières C; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, IAME, F-75018 Paris, France; Service de Bactériologie, AP-HP, Hôpital Bichat-Claude Bernard, F-75018, Paris, France.
Armand-Lefèvre L; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, IAME, F-75018 Paris, France; Service de Bactériologie, AP-HP, Hôpital Bichat-Claude Bernard, F-75018, Paris, France.

Clin Microbiol Infect ; 28(9): 1225-1229, 2022 Sep.

Article em En | MEDLINE | ID: mdl-35551982

Assuntos

Metagenoma; Metagenômica; Antibacterianos/farmacologia; Antibacterianos/uso terapêutico; Resistência Microbiana a Medicamentos/genética; Genes Bacterianos

Palavras-chave

Antibiotic resistance genes; Bioinformatics; Clinical metagenomics; Inference; Phenotype; Prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metagenoma / Metagenômica Idioma: En Revista: Clin Microbiol Infect Ano de publicação: 2022 Tipo de documento: Article

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