About: CovProfile: profiling the viral genome and gene expressions of SARS-COV-2

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About: CovProfile: profiling the viral genome and gene expressions of SARS-COV-2 Goto Sponge NotDistinct Permalink

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	CovProfile: profiling the viral genome and gene expressions of SARS-COV-2
Creator	Li, Zhengtu Ye, Feng Li, Shuai Yu, Le Jia, Wenlong Li, Yinhu Yu, Yonghan Jiang, Yiqi
Source	BioRxiv
abstract	The SARS-CoV-2 virus has infected more than one million people worldwide to date. Knowing its genome and gene expressions is essential to understand the virus’ mechanism. Here, we propose a computational tool CovProfile to detect the viral genomic variations as well as viral gene expressions from the sequences obtained from Nanopore devices. We applied CovProfile to 11 samples, each from a terminally ill patient, and discovered that all the patients are infected by multiple viral strains, which might affect the reliability of phylogenetic analysis. Moreover, the expression of viral genes ORF1ab gene, S gene, M gene, and N gene are high among most of the samples. While performing the tests, we noticed a consistent abundance of transcript segments of MUC5B, presumably from the host, across all the samples.
has issue date	2020-04-19(xsd:dateTime)
bibo:doi	10.1101/2020.04.05.026146
has license	biorxiv
sha1sum (hex)	56be6f1026b14f7b6235bb46d965917a86a62367
schema:url	https://doi.org/10.1101/2020.04.05.026146
resource representing a document's title	CovProfile: profiling the viral genome and gene expressions of SARS-COV-2
schema:publication	bioRxiv
resource representing a document's body	covid:56be6f1026b14f7b6235bb46d965917a86a62367#body_text
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