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Microarrays for Pathogen Detection and Analysis
DNA microarrays have emerged as a viable platform for detection of pathogenic organisms in clinical and environmental samples. These microbial detection arrays occupy a middle ground between low cost, narrowly focused assays such as multiplex PCR and more expensive, broad-spectrum technologies like...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245552/ https://www.ncbi.nlm.nih.gov/pubmed/21930658 http://dx.doi.org/10.1093/bfgp/elr027 |
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author | McLoughlin, Kevin S. |
author_facet | McLoughlin, Kevin S. |
author_sort | McLoughlin, Kevin S. |
collection | PubMed |
description | DNA microarrays have emerged as a viable platform for detection of pathogenic organisms in clinical and environmental samples. These microbial detection arrays occupy a middle ground between low cost, narrowly focused assays such as multiplex PCR and more expensive, broad-spectrum technologies like high-throughput sequencing. While pathogen detection arrays have been used primarily in a research context, several groups are aggressively working to develop arrays for clinical diagnostics, food safety testing, environmental monitoring and biodefense. Statistical algorithms that can analyze data from microbial detection arrays and provide easily interpretable results are absolutely required in order for these efforts to succeed. In this article, we will review the most promising array designs and analysis algorithms that have been developed to date, comparing their strengths and weaknesses for pathogen detection and discovery. |
format | Online Article Text |
id | pubmed-3245552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32455522012-11-01 Microarrays for Pathogen Detection and Analysis McLoughlin, Kevin S. Brief Funct Genomics Papers DNA microarrays have emerged as a viable platform for detection of pathogenic organisms in clinical and environmental samples. These microbial detection arrays occupy a middle ground between low cost, narrowly focused assays such as multiplex PCR and more expensive, broad-spectrum technologies like high-throughput sequencing. While pathogen detection arrays have been used primarily in a research context, several groups are aggressively working to develop arrays for clinical diagnostics, food safety testing, environmental monitoring and biodefense. Statistical algorithms that can analyze data from microbial detection arrays and provide easily interpretable results are absolutely required in order for these efforts to succeed. In this article, we will review the most promising array designs and analysis algorithms that have been developed to date, comparing their strengths and weaknesses for pathogen detection and discovery. Oxford University Press 2011-11 2011-09-19 /pmc/articles/PMC3245552/ /pubmed/21930658 http://dx.doi.org/10.1093/bfgp/elr027 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Papers McLoughlin, Kevin S. Microarrays for Pathogen Detection and Analysis |
title | Microarrays for Pathogen Detection and Analysis |
title_full | Microarrays for Pathogen Detection and Analysis |
title_fullStr | Microarrays for Pathogen Detection and Analysis |
title_full_unstemmed | Microarrays for Pathogen Detection and Analysis |
title_short | Microarrays for Pathogen Detection and Analysis |
title_sort | microarrays for pathogen detection and analysis |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245552/ https://www.ncbi.nlm.nih.gov/pubmed/21930658 http://dx.doi.org/10.1093/bfgp/elr027 |
work_keys_str_mv | AT mcloughlinkevins microarraysforpathogendetectionandanalysis |