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PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses.
Acera Mateos, Pablo; Balboa, Renzo F; Easteal, Simon; Eyras, Eduardo; Patel, Hardip R.
  • Acera Mateos P; John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia.
  • Balboa RF; EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, 2600, Australia.
  • Easteal S; John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia.
  • Eyras E; National Centre for Indigenous Genomics, Australian National University, Canberra, ACT, 2600, Australia.
  • Patel HR; John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia.
Sci Rep ; 11(1): 3209, 2021 02 05.
Article in English | MEDLINE | ID: covidwho-1065951
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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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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA Virus Infections / RNA Viruses / Coinfection / Deep Learning / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-82043-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA Virus Infections / RNA Viruses / Coinfection / Deep Learning / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-82043-4