Evidence map›Paper›PMID 38383603›Full record

ArticleNature biotechnology2025

Quality assessment of gene repertoire annotations with OMArk.

Yannis Nevers, Alex Warwick Vesztrocy, Victor Rossier, Clément-Marie Train, Adrian Altenhoff, Christophe Dessimoz, Natasha M Glover

Open access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed
35.5field-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

134 citing papers in PubMed, 158 citations in OpenAlex.

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  14. First Genome Assembly of the Critically Endangered Arabian Leopard (International journal of molecular sciences · 2026
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74 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

7 authors at 2 institutions in 1 country.

Yannis NeversDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. yannis.nevers@unil.ch.ORCID http://orcid.org/0000-0002-8604-2943
Alex Warwick VesztrocyDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Victor RossierDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Clément-Marie TrainDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Adrian AltenhoffSwiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-7492-1273
Christophe DessimozDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Natasha M GloverDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
SIB Swiss Institute of Bioinformatics · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of biodiversity genomics, it is crucial to ensure that annotations of protein-coding gene repertoires are accurate. State-of-the-art tools to assess genome annotations measure the completeness of a gene repertoire but are blind to other errors, such as gene overprediction or contamination. We introduce OMArk, a software package that relies on fast, alignment-free sequence comparisons between a query proteome and precomputed gene families across the tree of life. OMArk assesses not only the completeness but also the consistency of the gene repertoire as a whole relative to closely related species and reports likely contamination events. Analysis of 1,805 UniProt Eukaryotic Reference Proteomes with OMArk demonstrated strong evidence of contamination in 73 proteomes and identified error propagation in avian gene annotation resulting from the use of a fragmented zebra finch proteome as a reference. This study illustrates the importance of comparing and prioritizing proteomes based on their quality measures.

Indexed as

Molecular Sequence AnnotationProteomeSoftwareAnimalsDatabases, ProteinGenomicsProteome

Identifiers

PMID38383603
PMCPMC11738984
OpenAlexW4391997424

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.