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Sci Rep ; 11(1): 3209, 2021 02 05.
Article in English | MEDLINE | ID: covidwho-1065951

ABSTRACT

Viral co-infections occur in COVID-19 patients, potentially impacting disease progression and severity. However, there is currently no dedicated method to identify viral co-infections in patient RNA-seq data. We developed PACIFIC, a deep-learning algorithm that accurately detects SARS-CoV-2 and other common RNA respiratory viruses from RNA-seq data. Using in silico data, PACIFIC recovers the presence and relative concentrations of viruses with > 99% precision and recall. PACIFIC accurately detects SARS-CoV-2 and other viral infections in 63 independent in vitro cell culture and patient datasets. PACIFIC is an end-to-end tool that enables the systematic monitoring of viral infections in the current global pandemic.


Subject(s)
COVID-19/diagnosis , Coinfection/diagnosis , Deep Learning , RNA Virus Infections/diagnosis , RNA Viruses/isolation & purification , SARS-CoV-2/isolation & purification , COVID-19 Testing , Coinfection/virology , Coronaviridae/isolation & purification , Humans , Metapneumovirus/classification , Metapneumovirus/isolation & purification , Neural Networks, Computer , Orthomyxoviridae/classification , Orthomyxoviridae/isolation & purification , RNA Virus Infections/virology , RNA Viruses/classification , RNA-Seq , Rhinovirus/classification , Rhinovirus/isolation & purification , SARS-CoV-2/classification , Sensitivity and Specificity
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