About: A method to identify respiratory virus infections in clinical samples using next-generation sequencing

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About: A method to identify respiratory virus infections in clinical samples using next-generation sequencing Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A method to identify respiratory virus infections in clinical samples using next-generation sequencing
Creator	Friedman, Nehemya Mandelboim, Michal Glatman-Freedman, Aharona Kustin, Talia Ling, Guy Ram, Daniela Stern, Adi Zuckerman, Neta Bucris, Dahan Sharabi,
Source	Medline; PMC
abstract	Respiratory virus infections are very common. Such infections impose an enormous economic burden and occasionally lead to death. Furthermore, every few decades, respiratory virus pandemics emerge, putting the entire world population at risk. Thus, there is an urgent need to quickly and precisely identify the infecting agent in a clinical setting. However, in many patients with influenza-like symptoms (ILS) the identity of the underlying pathogen remains unknown. In addition, it takes time and effort to individually identify the virus responsible for the ILS. Here, we present a new next-generation sequencing (NGS)-based method that enables rapid and robust identification of pathogens in a pool of clinical samples without the need for specific primers. The method is aimed at rapidly uncovering a potentially common pathogen affecting many samples with an unidentified source of disease.
has issue date	2019-02-22(xsd:dateTime)
bibo:doi	10.1038/s41598-018-37483-w
bibo:pmid	30796243
has license	cc-by
sha1sum (hex)	871eb9f53e30a9b67bd226ca8235a50c576a2755
schema:url	https://doi.org/10.1038/s41598-018-37483-w
resource representing a document's title	A method to identify respiratory virus infections in clinical samples using next-generation sequencing
has PubMed Central identifier	PMC6384955
has PubMed identifier	30796243
schema:publication	Sci Rep
resource representing a document's body	covid:871eb9f53e30a9b67bd226ca8235a50c576a2755#body_text
is schema:about of	named entity 'TO IDENTIFY' named entity 'responsible' named entity 'pandemics' named entity 'respiratory' named entity 'samples' named entity 'RAPIDLY' named entity 'VIRUS' named entity 'CLINICAL' named entity 'LEAD' named entity 'INFECTING' named entity 'USING' named entity 'COMMON' named entity 'POPULATION AT RISK' named entity 'ENTIRE' named entity 'ENABLES' named entity 'NEW' named entity 'UNDERLYING' named entity 'NEXT-GENERATION SEQUENCING' named entity 'OCCASIONALLY' named entity 'HERE' named entity 'SPECIFIC' named entity 'EFFORT' named entity 'DEATH' named entity 'SAMPLES' named entity 'ILS' named entity 'POOL' named entity 'NEED' named entity 'NEXT-GENERATION SEQUENCING' named entity 'CLINICAL' named entity 'METHOD' named entity 'RESPIRATORY VIRUS' named entity 'PATHOGEN' named entity 'WORLD' named entity 'RAPID' named entity 'NEED FOR' named entity 'PRIMERS' named entity 'SOURCE OF DISEASE' named entity 'URGENT' named entity 'INFLUENZA-LIKE SYMPTOMS' named entity 'IDENTIFY' named entity 'IDENTITY' named entity 'METHOD' named entity 'RESPONSIBLE' named entity 'UNIDENTIFIED' named entity 'ROBUST' named entity 'UNKNOWN' named entity 'TIME' named entity 'CLINICAL SETTING' named entity 'UNCOVERING' named entity 'RESPIRATORY VIRUS' named entity 'SAMPLES' named entity 'PATHOGENS' named entity 'IDENTIFICATION' named entity 'EMERGE' named entity 'AGENT' named entity 'PANDEMICS' named entity 'ADDITION' named entity 'AFFECTING' named entity 'PRESENT' named entity 'PATIENTS' named entity 'INFECTIONS' named entity 'PUTTING' named entity 'addition' named entity 'samples' named entity 'pathogen' named entity 'time' named entity 'precisely' named entity 'However' named entity 'ILS' named entity 'takes time' named entity 'clinical samples' named entity 'virus infections'

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