Evidence map›Paper›PMID 39703433›Full record

ArticleNAR genomics and bioinformatics2024

GRAViTy-V2: a grounded viral taxonomy application.

Richard Mayne, Pakorn Aiewsakun, Dann Turner, Evelien M Adriaenssens, Peter Simmonds

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. 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. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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.

Richard MaynePeter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, 3 South Parks Road, OX1 3SY Oxfordshire, UK.ORCID https://orcid.org/0000-0003-1915-4993
Pakorn AiewsakunDepartment of Microbiology, Faculty of Science, Mahidol University, 272 Rama VI Road, Thung Phaya Thai, Ratchathewi, Bangkok 10400, Thailand.ORCID https://orcid.org/0000-0002-5665-4041
Dann TurnerSchool of Applied Sciences, University of the West of England, Frenchay Campus, BS16 1QY Bristol, UK.ORCID https://orcid.org/0000-0002-0249-4513
Evelien M AdriaenssensQuadram Institute Bioscience, Rosalind Franklin Rd, NR4 7UQ Norwich, UK.ORCID https://orcid.org/0000-0003-4826-5406
Peter SimmondsPeter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, 3 South Parks Road, OX1 3SY Oxfordshire, UK.ORCID https://orcid.org/0000-0002-7964-4700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taxonomic classification of viruses is essential for understanding their evolution. Genomic classification of viruses at higher taxonomic ranks, such as order or phylum, is typically based on alignment and comparison of amino acid sequence motifs in conserved genes. Classification at lower taxonomic ranks, such as genus or species, is usually based on nucleotide sequence identities between genomic sequences. Building on our whole-genome analytical classification framework, we here describe Genome Relationships Applied to Viral Taxonomy Version 2 (GRAViTy-V2), which encompasses a greatly expanded range of features and numerous optimisations, packaged as an application that may be used as a general-purpose virus classification tool. Using 28 datasets derived from the ICTV 2022 taxonomy proposals, GRAViTy-V2 output was compared against human expert-curated classifications used for assignments in the 2023 round of ICTV taxonomy changes. GRAViTy-V2 produced taxonomies equivalent to manually-curated versions down to the family level and in almost all cases, to genus and species levels. The majority of discrepant results arose from errors in coding sequence annotations in INDSC records, or from inclusion of incomplete genome sequences in the analysis. Analysis times ranged from 1-506 min (median 3.59) on datasets with 17-1004 genomes and mean genome length of 3000-1 000 000 bases.

Identifiers

PMID39703433
PMCPMC11655284

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.