Noisy Pooled PCR for Virus Testing

Abstract excerpt

Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PCR, require substantial resources to test large populations. We develop a scalable approach for determining the viral status of pooled patient samples. Our approach converts group testing to a linear inverse problem, where false positives...

Topics

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• Genomics
• High-Throughput Nucleotide Sequencing
• Sequence Analysis, DNA
• Algorithms
• Bayes Theorem
• Computer Simulation
• Escherichia coli
• Genome-Wide Association Study

Identifiers and source

Literature Corpus work

c0f09149-0d5d-5121-a862-076699505669

DOI

10.1101/2020.04.06.20055384