NIST developed a reference material consisting of synthetic fragments of the SARS-CoV-2 virus RNA, which is the target of molecular diagnostic tests. These RNA fragments can assist in the development and validation of RT-qPCR assays for the detection SARS-CoV-2. The RNA fragments are characterized for concentration using digital PCR methods, may be used to assess limits of detection for SARS-CoV-2 assays, and may calibrate other in-house or commercial SARS-CoV-2 controls. This dataset includes data used for RTGM 10169 SARs-Cov-2 Research Grade Test Material validation. The Illumina and ONT sequence data were used to verify the construct sequence.

NIST developed a reference material consisting of synthetic fragments of the SARS-CoV-2 virus RNA, which is the target of molecular diagnostic tests. These RNA fragments can assist in the development and validation of RT-qPCR assays for the detection SARS-CoV-2. The RNA fragments are characterized for concentration using digital PCR methods, may be used to assess limits of detection for SARS-CoV-2 assays, and may calibrate other in-house or commercial SARS-CoV-2 controls. This dataset includes data used for RTGM 10169 SARs-Cov-2 Research Grade Test Material validation. The Illumina and ONT sequence data were used to verify the construct sequence.

VIDA is a new virus database that organizes open reading frames (ORFs) from partial and complete genomic sequences from animal viruses. Currently VIDA includes all sequences from GenBank for Herpesviridae, Coronaviridae and Arteriviridae. The ORFs are organized into homologous protein families, which are identified on the basis of sequence similarity relationships. Conserved sequence regions of potential functional importance are identified and can be retrieved as sequence alignments. We use a controlled taxonomical and functional classification for all the proteins and protein families in the database. When available, protein structures that are related to the families have also been included. The database is available for online search and sequence information retrieval at http://www.biochem.ucl.ac.uk/bsm/virus_database/VIDA.html.

Percent recovery data for SARS-CoV-2, concentration data for enteroviruses, adenoviruses and wastewater associated (Lachno3) marker genes. This dataset is not publicly accessible because: Data is not the property of EPA. It can be accessed through the following means: Contact korajkic.asja@epa.gov. Format: Data is the property of the University of Notre Dame. This dataset is associated with the following publication: Ahmed, W., A. Bivins, S.L. Simpson, W.J.M. Smith, S. Metcalfe, B. McMinn, E.M. Symonds, and A. Korajkic. Comparative Analysis of Rapid Concentration Methods for the Recovery of SARS-CoV-2 and Quantification of Human Enteric Viruses and Sewage-associated Lachno3 Marker Genes in Untreated Wastewater. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 799: 149386, (2021).

A comprehensive, integrated, non-redundant, well-annotated set of reference sequences including genomic, transcript, and protein.

Provides researchers with a growing collection of virus sequences essential to the identification of the genetic determinants of influenza pathogenicity.