Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical...
Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19
About this item
Full title
Author / Creator
Rodriguez, Christophe , de Prost, Nicolas , Fourati, Slim , Lamoureux, Claudie , Gricourt, Guillaume , N’debi, Melissa , Canoui-Poitrine, Florence , Désveaux, Isaac , Picard, Oriane , Demontant, Vanessa , Trawinski, Elisabeth , Lepeule, Raphaël , Surgers, Laure , Vindrios, William , Lelièvre, Jean-Daniel , Mongardon, Nicolas , Langeron, Olivier , Cohen, José , Mekontso-Dessap, Armand , Woerther, Paul-Louis and Pawlotsky, Jean-Michel
Publisher
Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
Public Library of Science
Subjects
More information
Scope and Contents
Contents
COVID-19 is characterized by respiratory symptoms of various severities, ranging from mild upper respiratory signs to acute respiratory failure/acute respiratory distress syndrome associated with a high mortality rate. However, the pathophysiology of the disease is largely unknown. Shotgun metagenomics from nasopharyngeal swabs were used to charact...
Alternative Titles
Full title
Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19
Authors, Artists and Contributors
Author / Creator
de Prost, Nicolas
Fourati, Slim
Lamoureux, Claudie
Gricourt, Guillaume
N’debi, Melissa
Canoui-Poitrine, Florence
Désveaux, Isaac
Picard, Oriane
Demontant, Vanessa
Trawinski, Elisabeth
Lepeule, Raphaël
Surgers, Laure
Vindrios, William
Lelièvre, Jean-Daniel
Mongardon, Nicolas
Langeron, Olivier
Cohen, José
Mekontso-Dessap, Armand
Woerther, Paul-Louis
Pawlotsky, Jean-Michel
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_04298446v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_04298446v1
Other Identifiers
ISSN
1553-7366
E-ISSN
1553-7374
DOI
10.1371/journal.ppat.1009416
