In silico assessment of the impact of 2019 novel coronavirus genomic variation on the efficiency of published real-time quantitative polymerase chain reaction detection assays.

Fan, Hang; Zhang, Xiang-Li-Lan; Zhang, Ya-Wei; Huang, Yong; Teng, Yue; Guo, Yan; Mi, Zhi-Qiang; Yang, Rui-Fu; Song, Ya-Jun; Cui, Yu-Jun

Fan, Hang; Zhang, Xiang-Li-Lan; Zhang, Ya-Wei; Huang, Yong; Teng, Yue; Guo, Yan; Mi, Zhi-Qiang; Yang, Rui-Fu; Song, Ya-Jun; Cui, Yu-Jun.

Fan H; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.

Chin Med J (Engl) ; 133(13): 1612-1613, 2020 Jul 05.

Article in English | MEDLINE | ID: covidwho-1041904

Subject(s)

Betacoronavirus/genetics; Coronavirus Infections/diagnosis; Pneumonia, Viral/diagnosis; Real-Time Polymerase Chain Reaction/methods; COVID-19; Genetic Variation; Humans; Pandemics; SARS-CoV-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Real-Time Polymerase Chain Reaction / Betacoronavirus Type of study: Diagnostic study / Experimental Studies Limits: Humans Language: English Journal: Chin Med J (Engl) Year: 2020 Document Type: Article Affiliation country: CM9.0000000000000817

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