About: Computational tools for viral metagenomics and their application in clinical research

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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	Computational tools for viral metagenomics and their application in clinical research
Creator	Raoult, D Desnues, C Fancello, L
Source	Elsevier; Medline; PMC
abstract	There are 100 times more virions than eukaryotic cells in a healthy human body. The characterization of human-associated viral communities in a non-pathological state and the detection of viral pathogens in cases of infection are essential for medical care and epidemic surveillance. Viral metagenomics, the sequenced-based analysis of the complete collection of viral genomes directly isolated from an organism or an ecosystem, bypasses the “single-organism-level” point of view of clinical diagnostics and thus the need to isolate and culture the targeted organism. The first part of this review is dedicated to a presentation of past research in viral metagenomics with an emphasis on human-associated viral communities (eukaryotic viruses and bacteriophages). In the second part, we review more precisely the computational challenges posed by the analysis of viral metagenomes, and we illustrate the problem of sequences that do not have homologs in public databases and the possible approaches to characterize them.
has issue date	2012-12-20(xsd:dateTime)
bibo:doi	10.1016/j.virol.2012.09.025
bibo:pmid	23062738
has license	no-cc
sha1sum (hex)	96954e1e8decb47e16abe7cae8240ab3b271103a
schema:url	https://doi.org/10.1016/j.virol.2012.09.025
resource representing a document's title	Computational tools for viral metagenomics and their application in clinical research
has PubMed Central identifier	PMC7111993
has PubMed identifier	23062738
schema:publication	Virology
resource representing a document's body	covid:96954e1e8decb47e16abe7cae8240ab3b271103a#body_text
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