Evidence map›Paper›PMID 33547380›Full record

ArticleScientific reports2021

PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses.

Pablo Acera Mateos, Renzo F Balboa, Simon Easteal, Eduardo Eyras, Hardip R Patel

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Enabling Artificial Intelligence for Genome Sequence Analysis of COVID-19 and Alike Viruses.Interdisciplinary sciences, computational life sciences · 2022
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pablo Acera Mateos *John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia.
Renzo F Balboa *John Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia.
Simon EastealJohn Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia.
Eduardo EyrasJohn Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia. eduardo.eyras@anu.edu.au.
Hardip R PatelJohn Curtin School of Medical Research, Australian National University, Canberra, ACT, 2600, Australia. hardip.patel@anu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Deep LearningCoinfectionCoronaviridaeCOVID-19COVID-19 TestingHumansMetapneumovirusNeural Networks, ComputerOrthomyxoviridaeRhinovirusRNA-SeqRNA VirusesRNA Virus InfectionsSARS-CoV-2Sensitivity and Specificity

Identifiers

PMID33547380
PMCPMC7864945

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.