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Pathogen profiling for disease management and surveillance
The usefulness of rapid pathogen genotyping is widely recognized, but its effective interpretation and application requires integration into clinical and public health decision-making. How can pathogen genotyping data best be translated to inform disease management and surveillance? Pathogen profili...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097369/ https://www.ncbi.nlm.nih.gov/pubmed/17487146 http://dx.doi.org/10.1038/nrmicro1656 |
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author | Sintchenko, Vitali Iredell, Jonathan R. Gilbert, Gwendolyn L. |
author_facet | Sintchenko, Vitali Iredell, Jonathan R. Gilbert, Gwendolyn L. |
author_sort | Sintchenko, Vitali |
collection | PubMed |
description | The usefulness of rapid pathogen genotyping is widely recognized, but its effective interpretation and application requires integration into clinical and public health decision-making. How can pathogen genotyping data best be translated to inform disease management and surveillance? Pathogen profiling integrates microbial genomics data into communicable disease control by consolidating phenotypic identity-based methods with DNA microarrays, proteomics, metabolomics and sequence-based typing. Sharing data on pathogen profiles should facilitate our understanding of transmission patterns and the dynamics of epidemics. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nrmicro1656) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7097369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70973692020-03-26 Pathogen profiling for disease management and surveillance Sintchenko, Vitali Iredell, Jonathan R. Gilbert, Gwendolyn L. Nat Rev Microbiol Article The usefulness of rapid pathogen genotyping is widely recognized, but its effective interpretation and application requires integration into clinical and public health decision-making. How can pathogen genotyping data best be translated to inform disease management and surveillance? Pathogen profiling integrates microbial genomics data into communicable disease control by consolidating phenotypic identity-based methods with DNA microarrays, proteomics, metabolomics and sequence-based typing. Sharing data on pathogen profiles should facilitate our understanding of transmission patterns and the dynamics of epidemics. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nrmicro1656) contains supplementary material, which is available to authorized users. Nature Publishing Group UK 2007-05-08 2007 /pmc/articles/PMC7097369/ /pubmed/17487146 http://dx.doi.org/10.1038/nrmicro1656 Text en © Nature Publishing Group 2007 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Sintchenko, Vitali Iredell, Jonathan R. Gilbert, Gwendolyn L. Pathogen profiling for disease management and surveillance |
title | Pathogen profiling for disease management and surveillance |
title_full | Pathogen profiling for disease management and surveillance |
title_fullStr | Pathogen profiling for disease management and surveillance |
title_full_unstemmed | Pathogen profiling for disease management and surveillance |
title_short | Pathogen profiling for disease management and surveillance |
title_sort | pathogen profiling for disease management and surveillance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097369/ https://www.ncbi.nlm.nih.gov/pubmed/17487146 http://dx.doi.org/10.1038/nrmicro1656 |
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