About: MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples 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
title	MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples
Creator	Chen, Chen Li, Jiarui Zeng, Hui Du, Pengcheng Song, »more»
source	BioRxiv
abstract	The novel coronavirus disease 2019 (COVID-19) pandemic poses a serious public health risk. Analyzing the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from clinical samples is crucial for the understanding of viral spread and viral evolution, as well as for vaccine development. Existing sample preparation methods for viral genome sequencing are demanding on user technique and time, and thus not ideal for time-sensitive clinical samples; these methods are also not optimized for high performance on viral genomes. We have developed MetagenomIc RNA EnRichment VirAl sequencing (MINERVA), a facile, practical, and robust approach for metagenomic and deep viral sequencing from clinical samples. This approach uses direct tagmentation of RNA/DNA hybrids using Tn5 transposase to greatly simplify the sequencing library construction process, while subsequent targeted enrichment can generate viral genomes with high sensitivity, coverage, and depth. We demonstrate the utility of MINERVA on pharyngeal, sputum and stool samples collected from COVID-19 patients, successfully obtaining both whole metatranscriptomes and complete high-depth high-coverage SARS-CoV-2 genomes from these clinical samples, with high yield and robustness. MINERVA is compatible with clinical nucleic extracts containing carrier RNA. With a shortened hands-on time from sample to virus-enriched sequencing-ready library, this rapid, versatile, and clinic-friendly approach will facilitate monitoring of viral genetic variations during outbreaks, both current and future.
has issue date	2020-05-26(xsd:dateTime)
bibo:doi	10.1101/2020.04.25.060947
has license	biorxiv
sha1sum (hex)	332d33830d322100fb202152c5595cba393596ba
schema:url	https://doi.org/10.1101/2020.04.25.060947
resource representing a document's title	MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples
schema:publication	bioRxiv
resource representing a document's body	covid:332d33830d322100fb202152c5595cba393596ba#body_text
is schema:about of	named entity 'pandemic' named entity 'Tn5' named entity 'enrichment' named entity 'developed' named entity 'viral' »more»

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software