- Titre
- Total infectomes of 162 SARS-CoV-2 cases using meta-transcriptomic sequencing
- Créateurs - sans rôle
- Hong Zhou - Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, ChinaCixiu Li - Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, ChinaTao Hu - Shandong First Medical UniversityTi Liu - Shandong Center for Disease Control and Prevention, Jinan 250014, ChinaNan Ni - Taian Center for Disease Control and Prevention, Taian 271000, ChinaWeijun Chen - BGI PathoGenesis Pharmaceutical Technology, Shenzhen, ChinaHuailong Zhao - Jinan Center for Disease Control and Prevention, Jinan 250021, ChinaShiman Ruan - Jinan Center for Disease Control and Prevention, Jinan 250021, ChinaJuan Li - Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, ChinaHonglong Wu - BGI PathoGenesis Pharmaceutical Technology, Shenzhen, ChinaSarah François - Department of Zoology, University of Oxford, OX1 2JD, UKOliver G. Pybus - University of OxfordEdward C. Holmes - Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, AUDianmin Kang - Shandong Center for Disease Control and Prevention, Jinan 250014, ChinaPeiqiang Hou - Taian Center for Disease Control and Prevention, Taian 271000, ChinaWeifeng Shi - Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, China
- Détails de publication
- The Journal of infection, Vol.82(1), pp.e44-e48
- Éditeur
- Elsevier Ltd
- Identifiants
- 99136574609311
- Unité académique
- Diversité, Génomes et Interactions Microorganismes-Insectes - DGIMI
- Langue
- English
- Type de ressource
- Journal article
Article de revue
Total infectomes of 162 SARS-CoV-2 cases using meta-transcriptomic sequencing
The Journal of infection, Vol.82(1), pp.e44-e48
01/01/2021
PMID: 33307139
Indicateurs
1 Consultations de la notice