Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Chantal Vogels, Joseph Fauver, Isabel Ott, Nathan Grubaugh 2020. Generation of SARS-COV-2 RNA transcript standards for qRT-PCR detection assays. protocols.io dx.doi.org/10.17504/protocols.io.bdv6i69eCopy Citation Copied
URL: https://dx.doi.org/10.17504/protocols.io.bdv6i69e
Authors: Chantal Vogels, Joseph Fauver, Isabel Ott, Nathan Grubaugh
Group: Coronavirus Method Development Community
Summary: The protocol describes how to generate high-quality single-stranded RNA transcript standards (starting from a virus RNA stock) targeting the nsp10, RdRp, nsp14, envelope (E), and nucleocapsid (N) coding regions for use with China CDC, Hong Kong University (HKU), Corman et al. (Berlin), and US CDC SARS-CoV-2 primer and probe sets for qRT-PCR. (Sequences for transcripts generated, along with their corresponding assays, are provided under 'Guidelines.')
Affiliations: Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Department of Epidemiology of Microbial Diseases, Yale School of Public Health
Version: 1
Publication Date: 2020
Expand AllComing soon.
Check
for all resource mentions.
Coming soon.
Source: Protocols.io
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
