Evidence map›Paper›PMID 37163224›Full record

ReviewFEBS open bio2023

Current trends in RNA virus detection through metatranscriptome sequencing data.

So Nakagawa, Shoichi Sakaguchi, Atsushi Ogura, Katsuhiko Mineta, Toshinori Endo, Yoshiyuki Suzuki, Takashi Gojobori

Abstract readReview
In one paragraph

Review in FEBS open bio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  8. Article
  9. Review
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

7 authors.

So NakagawaDepartment of Molecular Life Science, Tokai University School of Medicine, Kanagawa, Japan.ORCID 0000-0003-1760-3839
Shoichi SakaguchiDepartment of Microbiology and Infection Control, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Japan.
Atsushi OguraGraduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Japan.ORCID 0000-0002-5610-9940
Katsuhiko MinetaComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID 0000-0002-4727-045X
Toshinori EndoFaculty of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Yoshiyuki SuzukiGraduate School of Science, Nagoya City University, Japan.
Takashi GojoboriComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With advances in sequencing technology, metatranscriptome sequencing from a variety of environmental and biological sources has revealed the existence of various previously unknown RNA viruses. This review presents recent major RNA virome studies sampled from invertebrate and vertebrate species as well as aquatic environments. In particular, we focus on severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and related RNA virus identification through metatranscriptome sequencing analyses. Recently developed bioinformatics software and databases for RNA virus identification are introduced. A relationship between newly identified RNA viruses and endogenous viral elements in host genomes is also discussed.

Indexed as

COVID-19RNA VirusesHumansRNA, ViralSARS-CoV-2RNA, Viralendogenous viral elementsmetatranscriptomeRNA-dependent RNA polymeraseRNA viromeSARS-CoV-2

Identifiers

PMID37163224
PMCPMC10240339

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.