Evidence map›Paper›PMID 38376167›Full record

ArticlemSystems2024

Benchmarking informatics approaches for virus discovery: caution is needed when combining

Bridget Hegarty, James Riddell V, Eric Bastien, Kathryn Langenfeld, Morgan Lindback, Jaspreet S Saini, Anthony Wing, Jessica Zhang, Melissa Duhaime

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
10.6field-weighted citation impact, top 1% of its field
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

25 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  5. Convergent evolution of ST2 and ST164 mediates dissemination of the blaAnnals of clinical microbiology and antimicrobials · 2026
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  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. vir2vec: A Viral Genome-Wide Viral Embedding.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Tracking putativemSystems · 2025
    Article
  20. 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

9 authors at 5 institutions in 2 countries.

Bridget Hegarty *Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-3291-4451
James Riddell V *Department of Microbiology, The Ohio State University, Columbus, Ohio, USA.
Eric BastienDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.
Kathryn LangenfeldDepartment of Civil and Environmental Engineering, Stanford University, Palo Alto, California, USA.
Morgan LindbackDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.
Jaspreet S SainiLaboratory for Environmental Biotechnology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Anthony WingDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.
Jessica ZhangDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Melissa DuhaimeDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-7884-5087
University of Michigan · USCase Western Reserve University · USÉcole Polytechnique Fédérale de Lausanne · CHStanford University · USThe Ohio State University · US

Funding

College of Engineering, University of Michigan Blue Sky InitiativeDOC | National Oceanic and Atmospheric Administration (NOAA) NA17OAR4320152National Science Foundation (NSF) DGE1256260, 2055455, DGE134012
6 · The paper itself

Abstract

Understanding the ecological impacts of viruses on natural and engineered ecosystems relies on the accurate identification of viral sequences from community sequencing data. To maximize viral recovery from metagenomes, researchers frequently combine viral identification tools. However, the effectiveness of this strategy is unknown. Here, we benchmarked combinations of six widely used informatics tools for viral identification and analysis (VirSorter, VirSorter2, VIBRANT, DeepVirFinder, CheckV, and Kaiju), called "rulesets." Rulesets were tested against mock metagenomes composed of taxonomically diverse sequence types and diverse aquatic metagenomes to assess the effects of the degree of viral enrichment and habitat on tool performance. We found that six rulesets achieved equivalent accuracy [Matthews Correlation Coefficient (MCC) = 0.77, IMPORTANCE: The identification of viruses from environmental metagenomes using informatics tools has offered critical insights in microbial ecology. However, it remains difficult for researchers to know which tools optimize viral recovery for their specific study. In an attempt to recover more viruses, studies are increasingly combining the outputs from multiple tools without validating this approach. After benchmarking combinations of six viral identification tools against mock metagenomes and environmental samples, we found that these tools should only be combined cautiously. Two to four tool combinations maximized viral recovery and minimized non-viral contamination compared with either the single-tool or the five- to six-tool ones. By providing a rigorous overview of the behavior of

Indexed as

VirusesDatabases, Nucleic AcidEcosystemMetagenomicsbacteriophagesmetagenomicsmicrobial ecologyviral discovery

Identifiers

PMID38376167
PMCPMC10949488
OpenAlexW4391955647

What OpenQuestion 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 OpenQuestion graph.