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Filtering by: Contributor Centers for Disease Control and Prevention (funding agency) Creator Vincent B. Young Keyword Infection prevention Keyword Quantification Resource type Research Paper Subject Environmental monitoring Subject Machine learning Subject Metagenomics Subject Nosocomial infections--Prevention Subject Quantitative research

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1. An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics

Description:: Cite this article: Shen, J., McFarland, A.G., Blaustein, R.A. et al. An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics. Microbiome 10, 206 (2022). https://doi.org/10.1186/s40168-022-01412-x and Background: Effective surveillance of microbial communities in the healthcare environment is increasingly important in infection prevention. Metagenomics-based techniques are promising due to their untargeted nature but are currently challenged by several limitations: (1) they are not powerful enough to extract valid signals out of the background noise for low-biomass samples,...
Keyword:: Quantification, Quantitative metagenomics, Low biomass, Viability, Machine learning, Environmental surveillance, Sequencing depth prediction, and Infection prevention
Subject:: Metagenomics, Quantitative research, Nosocomial infections--Prevention, Machine learning, and Environmental monitoring
Creator:: K. Allison Perry-Dow, Jiaxian Shen, Vincent B. Young, Ryan A. Blaustein, Mary K. Hayden, Alexander G. McFarland, Anahid A. Moghadam, Laura J. Rose, and Erica M. Hartmann
Contributor:: Centers for Disease Control and Prevention (funding agency)
Owner:: Jiaxian SHEN
Publisher:: Microbiome
Language:: English
Date Uploaded:: 12/19/2022
Date Modified:: 12/19/2022
Date Created:: 2022-12-02
Resource Type:: Research Paper
Alternate Identifier:: DOI 10.1186/s40168-022-01412-x, PMCID PMC9716758, and PMID 36457108

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1. An improved workflow for accurate and robust healthcare environmental surveillance using metagenomics