AI Article Synopsis

  • Viral co-infections can affect COVID-19 severity, but no specific method existed to identify them in RNA sequencing data.
  • A deep-learning algorithm called PACIFIC has been developed to detect SARS-CoV-2 and other RNA respiratory viruses in RNA-seq data with high accuracy.
  • PACIFIC has demonstrated over 99% precision and recall in testing and is effective in identifying viral infections in numerous independent datasets, making it a valuable tool for monitoring infections during the pandemic.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864945PMC
http://dx.doi.org/10.1038/s41598-021-82043-4DOI Listing

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