Real-time reverse transcription-polymerase chain reaction assay panel for the detection of severe acute respiratory syndrome coronavirus 2 and its variants-Reference-Cited by-同舟云学术

Real-time reverse transcription-polymerase chain reaction assay panel for the detection of severe acute respiratory syndrome coronavirus 2 and its variants

Published:2021-08-16 Issue:17 Volume:134 Page:2048-2053
ISSN:0366-6999
Container-title:Chinese Medical Journal
language:en
Short-container-title:

Author:

Lu Rou-Jian,Zhao Li,Huang Bao-Ying,Ye Fei,Wang Wen-Ling,Tan Wen-Jie

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,General Medicine

Reference9 articles.

1. A novel coronavirus outbreak of global health concern;Wang;Lancet,2020

2. Notes from the field: a novel coronavirus genome identified in a cluster of pneumonia cases – Wuhan, China 2019−2020;Tan;China CDC Wkly,2020

3. A novel coronavirus from patients with pneumonia in China, 2019;Zhu;N Engl J Med,2020

4. Three novel real-time RT-PCR assays for detection of COVID-19;Niu;China CDC Wkly,2020

5. Two-tube multiplex real-time reverse transcription PCR to detect six human coronaviruses;Niu;Virol Sin,2016

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