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Using metagenomic analyses to estimate the consequences of enrichment bias for pathogen detection.

James B Pettengill | Eugene McAvoy | James R White | Marc Allard | Eric Brown | Andrea Ottesen
BMC research notes | 2012

Enriching environmental samples to increase the probability of detection has been standard practice throughout the history of microbiology. However, by its very nature, the process of enrichment creates a biased sample that may have unintended consequences for surveillance or resolving a pathogenic outbreak. With the advent of next-generation sequencing and metagenomic approaches, the possibility now exists to quantify enrichment bias at an unprecedented taxonomic breadth.

Pubmed ID: 22839680

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U.S. Food and Drug Administration (tool)

RRID:SCR_012945

An agency of the United States Department of Health and Human Services, one of the United States federal executive departments that is responsible for protecting and promoting public health through the regulation and supervision of food safety, tobacco products, dietary supplements, prescription and over-the-counter pharmaceutical drugs (medications), vaccines, biopharmaceuticals, blood transfusions, medical devices, electromagnetic radiation emitting devices (ERED), cosmetics and veterinary products. The FDA also enforces other laws, notably Section 361 of the Public Health Service Act and associated regulations, many of which are not directly related to food or drugs. These include sanitation requirements on interstate travel and control of disease on products ranging from certain household pets to sperm donation for assisted reproduction. (Wikipedia)

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MG-RAST (tool)

RRID:SCR_004814

An automated analysis platform for metagenomes providing quantitative insights into microbial populations based on sequence data. The server primarily provides upload, quality control, automated annotation and analysis for prokaryotic metagenomic shotgun samples.

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