Evidence map›Paper›PMID 37735266›Full record

ArticleNature biotechnology2024

Identification of mobile genetic elements with geNomad.

Antonio Pedro Camargo, Simon Roux, Frederik Schulz, Michal Babinski, Yan Xu, Bin Hu, Patrick S G Chain, Stephen Nayfach, Nikos C Kyrpides

Abstract read
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 652 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
652citing papers in PubMed, 1 pooled it
–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

652 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Characterization of defensome genes and mobile genetic Elements in different types of pasture soil agroecosystems from the Brazilian Amazon.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  13. Members of theMicrobial genomics · 2026
    Article
  14. Article
  15. Article
  16. Diversity of Antarctic sea ice and under-ice seawater RNA viruses.Applied and environmental microbiology · 2026
    Article
  17. Microbiological safety and antimicrobial resistance in cashew-based plant-based cheese analogues.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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  18. Article
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592 more citing papers are in PubMed but not listed here.

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.

Antonio Pedro CamargoDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. antoniop.camargo@lbl.gov.ORCID http://orcid.org/0000-0003-3913-2484
Simon RouxDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Frederik SchulzDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-4932-4677
Michal BabinskiBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
Yan XuBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA.ORCID http://orcid.org/0000-0001-6264-3835
Bin HuBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
Patrick S G ChainBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA.ORCID http://orcid.org/0000-0003-3949-3634
Stephen NayfachDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-4625-4164
Nikos C KyrpidesDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. nckyrpides@lbl.gov.ORCID http://orcid.org/0000-0002-6131-0462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying and characterizing mobile genetic elements in sequencing data is essential for understanding their diversity, ecology, biotechnological applications and impact on public health. Here we introduce geNomad, a classification and annotation framework that combines information from gene content and a deep neural network to identify sequences of plasmids and viruses. geNomad uses a dataset of more than 200,000 marker protein profiles to provide functional gene annotation and taxonomic assignment of viral genomes. Using a conditional random field model, geNomad also detects proviruses integrated into host genomes with high precision. In benchmarks, geNomad achieved high classification performance for diverse plasmids and viruses (Matthews correlation coefficient of 77.8% and 95.3%, respectively), substantially outperforming other tools. Leveraging geNomad's speed and scalability, we processed over 2.7 trillion base pairs of sequencing data, leading to the discovery of millions of viruses and plasmids that are available through the IMG/VR and IMG/PR databases. geNomad is available at https://portal.nersc.gov/genomad .

Indexed as

Interspersed Repetitive SequencesPlasmidsComputational BiologyDatabases, GeneticGenome, ViralMolecular Sequence AnnotationNeural Networks, ComputerSoftwareViruses

Identifiers

PMID37735266
PMCPMC11324519

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.