Author: Hayden C. Metsky; Catherine A. Freije; Tinna-Solveig F. Kosoko-Thoroddsen; Pardis C. Sabeti; Cameron Myhrvold
Title: CRISPR-based surveillance for COVID-19 using genomically-comprehensive machine learning design Document date: 2020_3_2
ID: 7tkvl894_7
Snippet: Using ADAPT we designed 67 assays, satisfying the above constraints, to identify: the SARS-related coronavirus species; SARS-CoV-2; two other subspecies in that species with high similarity to SARS-CoV-2; all other known Coronaviridae species, including 4 other species that commonly cause human illness; and other common respiratory viral species and subspecies ( Table 1 ) . Each assay targets a single species or subspecies and can be used individ.....
Document: Using ADAPT we designed 67 assays, satisfying the above constraints, to identify: the SARS-related coronavirus species; SARS-CoV-2; two other subspecies in that species with high similarity to SARS-CoV-2; all other known Coronaviridae species, including 4 other species that commonly cause human illness; and other common respiratory viral species and subspecies ( Table 1 ) . Each assay targets a single species or subspecies and can be used individually (e.g., point-of-care detection); additionally, owing to how they are designed, multiple assays can be grouped together to test for multiple targets and distinguish them with high specificity.
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