Scientific ReportsBioinformaticsPeer-reviewed journal article
PACIFIC: A lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses
Pablo Acera MateosiD, Renzo F. BalboaiD, Simon EastealiD, Eduardo EyrasiD, Hardip R. PateliD
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.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: variant calling
- approach: deep learning
- Citations
- 28
- FWCI
- 1.66
- Field percentile
- top 13%
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