About: Understanding the Promises and Hurdles of Metagenomic Next-Generation Sequencing as a Diagnostic Tool for Infectious Diseases

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Understanding the Promises and Hurdles of Metagenomic Next-Generation Sequencing as a Diagnostic Tool for Infectious Diseases
Creator	Miller, Steven Carroll, Karen Simner, Patricia
Source	PMC
abstract	Agnostic metagenomic next-generation sequencing (mNGS) has emerged as a promising single, universal pathogen detection method for infectious disease diagnostics. This methodology allows for identification and genomic characterization of bacteria, fungi, parasites, and viruses without the need for a priori knowledge of a specific pathogen directly from clinical specimens. Although there are increasing reports of mNGS successes, several hurdles need to be addressed, such as differentiation of colonization from infection, extraneous sources of nucleic acid, method standardization, and data storage, protection, analysis, and interpretation. As more commercial and clinical microbiology laboratories develop mNGS assays, it is important for treating practitioners to understand both the power and limitations of this method as a diagnostic tool for infectious diseases.
has issue date	2018-03-01(xsd:dateTime)
bibo:doi	10.1093/cid/cix881
bibo:pmid	29040428
has license	no-cc
sha1sum (hex)	bd6ff668b291b07c039010c27d1465777647f60f
schema:url	https://doi.org/10.1093/cid/cix881
resource representing a document's title	Understanding the Promises and Hurdles of Metagenomic Next-Generation Sequencing as a Diagnostic Tool for Infectious Diseases
has PubMed Central identifier	PMC7108102
has PubMed identifier	29040428
schema:publication	Clin Infect Dis
resource representing a document's body	covid:bd6ff668b291b07c039010c27d1465777647f60f#body_text
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