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Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory
The ability to generate high-quality sequence data in a public health laboratory enables the identification of pathogenic strains, the determination of relatedness among outbreak strains, and the analysis of genetic information regarding virulence and antimicrobial-resistance genes. However, the ana...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572866/ https://www.ncbi.nlm.nih.gov/pubmed/28820135 http://dx.doi.org/10.3201/eid2309.170416 |
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author | Oakeson, Kelly F. Wagner, Jennifer Marie Mendenhall, Michelle Rohrwasser, Andreas Atkinson-Dunn, Robyn |
author_facet | Oakeson, Kelly F. Wagner, Jennifer Marie Mendenhall, Michelle Rohrwasser, Andreas Atkinson-Dunn, Robyn |
author_sort | Oakeson, Kelly F. |
collection | PubMed |
description | The ability to generate high-quality sequence data in a public health laboratory enables the identification of pathogenic strains, the determination of relatedness among outbreak strains, and the analysis of genetic information regarding virulence and antimicrobial-resistance genes. However, the analysis of whole-genome sequence data depends on bioinformatic analysis tools and processes. Many public health laboratories do not have the bioinformatic capabilities to analyze the data generated from sequencing and therefore are unable to take full advantage of the power of whole-genome sequencing. The goal of this perspective is to provide a guide for laboratories to understand the bioinformatic analyses that are needed to interpret whole-genome sequence data and how these in silico analyses can be implemented in a public health laboratory setting easily, affordably, and, in some cases, without the need for intensive computing resources and infrastructure. |
format | Online Article Text |
id | pubmed-5572866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-55728662017-09-02 Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory Oakeson, Kelly F. Wagner, Jennifer Marie Mendenhall, Michelle Rohrwasser, Andreas Atkinson-Dunn, Robyn Emerg Infect Dis Perspective The ability to generate high-quality sequence data in a public health laboratory enables the identification of pathogenic strains, the determination of relatedness among outbreak strains, and the analysis of genetic information regarding virulence and antimicrobial-resistance genes. However, the analysis of whole-genome sequence data depends on bioinformatic analysis tools and processes. Many public health laboratories do not have the bioinformatic capabilities to analyze the data generated from sequencing and therefore are unable to take full advantage of the power of whole-genome sequencing. The goal of this perspective is to provide a guide for laboratories to understand the bioinformatic analyses that are needed to interpret whole-genome sequence data and how these in silico analyses can be implemented in a public health laboratory setting easily, affordably, and, in some cases, without the need for intensive computing resources and infrastructure. Centers for Disease Control and Prevention 2017-09 /pmc/articles/PMC5572866/ /pubmed/28820135 http://dx.doi.org/10.3201/eid2309.170416 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Perspective Oakeson, Kelly F. Wagner, Jennifer Marie Mendenhall, Michelle Rohrwasser, Andreas Atkinson-Dunn, Robyn Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory |
title | Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory |
title_full | Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory |
title_fullStr | Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory |
title_full_unstemmed | Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory |
title_short | Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory |
title_sort | bioinformatic analyses of whole-genome sequence data in a public health laboratory |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572866/ https://www.ncbi.nlm.nih.gov/pubmed/28820135 http://dx.doi.org/10.3201/eid2309.170416 |
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