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Bioinformatics approaches to the study of antimicrobial resistance

Detection and monitoring of antimicrobial resistance are two pillars on which clinical microbiology will be based in the coming decades. The implementation of certain technologies such as whole genome sequencing (WGS) or mass spectrometry and the creation of national and international databases that...

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Detalles Bibliográficos
Autores principales: Seoane, Alejandro, Bou, Germán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedad Española de Quimioterapia 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683011/
https://www.ncbi.nlm.nih.gov/pubmed/34598416
http://dx.doi.org/10.37201/req/s01.04.2021
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author Seoane, Alejandro
Bou, Germán
author_facet Seoane, Alejandro
Bou, Germán
author_sort Seoane, Alejandro
collection PubMed
description Detection and monitoring of antimicrobial resistance are two pillars on which clinical microbiology will be based in the coming decades. The implementation of certain technologies such as whole genome sequencing (WGS) or mass spectrometry and the creation of national and international databases that include and gather data on antimicrobial resistance from around the world has allowed the application of bioinformatics in the study of antimicrobial resistance in microorganisms involved in human pathology.
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spelling pubmed-86830112021-12-29 Bioinformatics approaches to the study of antimicrobial resistance Seoane, Alejandro Bou, Germán Rev Esp Quimioter Update in Infection Diseases 2020 Detection and monitoring of antimicrobial resistance are two pillars on which clinical microbiology will be based in the coming decades. The implementation of certain technologies such as whole genome sequencing (WGS) or mass spectrometry and the creation of national and international databases that include and gather data on antimicrobial resistance from around the world has allowed the application of bioinformatics in the study of antimicrobial resistance in microorganisms involved in human pathology. Sociedad Española de Quimioterapia 2021-09-30 2021 /pmc/articles/PMC8683011/ /pubmed/34598416 http://dx.doi.org/10.37201/req/s01.04.2021 Text en © The Author 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).
spellingShingle Update in Infection Diseases 2020
Seoane, Alejandro
Bou, Germán
Bioinformatics approaches to the study of antimicrobial resistance
title Bioinformatics approaches to the study of antimicrobial resistance
title_full Bioinformatics approaches to the study of antimicrobial resistance
title_fullStr Bioinformatics approaches to the study of antimicrobial resistance
title_full_unstemmed Bioinformatics approaches to the study of antimicrobial resistance
title_short Bioinformatics approaches to the study of antimicrobial resistance
title_sort bioinformatics approaches to the study of antimicrobial resistance
topic Update in Infection Diseases 2020
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683011/
https://www.ncbi.nlm.nih.gov/pubmed/34598416
http://dx.doi.org/10.37201/req/s01.04.2021
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