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_12
Snippet: Ongoing SARS-CoV-2 sequencing is key to developing and monitoring diagnostics and similar surveillance tools. In the case of the SARS-CoV-2 outbreak, genomes have been generated and shared at a remarkable pace, and we thank those who have contributed their data through GISAID [13]. We and others, relying on this data [14] , have shown that it is possible to rapidly design CRISPR-based tools for detection and surveillance during an outbreak......
Document: Ongoing SARS-CoV-2 sequencing is key to developing and monitoring diagnostics and similar surveillance tools. In the case of the SARS-CoV-2 outbreak, genomes have been generated and shared at a remarkable pace, and we thank those who have contributed their data through GISAID [13]. We and others, relying on this data [14] , have shown that it is possible to rapidly design CRISPR-based tools for detection and surveillance during an outbreak.
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