Evidence map›Paper›PMID 26483782›Full record

ReviewFrontiers in microbiology2015

Recovering full-length viral genomes from metagenomes.

Saskia L Smits, Rogier Bodewes, Aritz Ruiz-González, Wolfgang Baumgärtner, Marion P Koopmans, Albert D M E Osterhaus, Anita C Schürch

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Viruses · 2018
    Article
  13. Article
  14. Review
  15. Article
  16. Viral metagenomics and blood safety.Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine · 2016
    Review
  17. Review
  18. Article
  19. 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

7 authors.

Saskia L SmitsDepartment of Viroscience, Erasmus Medical Center Rotterdam, Netherlands.
Rogier BodewesDepartment of Viroscience, Erasmus Medical Center Rotterdam, Netherlands.
Aritz Ruiz-GonzálezDepartment of Zoology and Animal Cell Biology, University of the Basque Country (UPV/EHU) Vitoria-Gasteiz, Spain ; Systematics, Biogeography and Population Dynamics Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU) Vitoria-Gasteiz, Spain ; Conservation Genetics Laboratory, National Institute for Environmental Protection and Research Bologna, Italy.
Wolfgang BaumgärtnerDepartment of Pathology, University of Veterinary Medicine Hannover Hannover, Germany.
Marion P KoopmansDepartment of Viroscience, Erasmus Medical Center Rotterdam, Netherlands ; Centre for Infectious Diseases Research, Diagnostics and Screening, National Institute for Public Health and the Environment Bilthoven, Netherlands.
Albert D M E OsterhausDepartment of Viroscience, Erasmus Medical Center Rotterdam, Netherlands ; Center for Infection Medicine and Zoonoses Research Hannover, Germany.
Anita C SchürchDepartment of Viroscience, Erasmus Medical Center Rotterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious disease metagenomics is driven by the question: "what is causing the disease?" in contrast to classical metagenome studies which are guided by "what is out there?" In case of a novel virus, a first step to eventually establishing etiology can be to recover a full-length viral genome from a metagenomic sample. However, retrieval of a full-length genome of a divergent virus is technically challenging and can be time-consuming and costly. Here we discuss different assembly and fragment linkage strategies such as iterative assembly, motif searches, k-mer frequency profiling, coverage profile binning, and other strategies used to recover genomes of potential viral pathogens in a timely and cost-effective manner.

Indexed as

assemblycoverage analysisk-mer analysismetagenomicsmotif discoveryvirus discoveryviruseszoonotic pathogens

Identifiers

PMID26483782
PMCPMC4589665

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.