Evidence map›Paper›PMID 41736999›Full record

ArticleBioinformatics advances2026

OMAnnotator: a novel approach to building an annotated consensus genome sequence.

Sadé Bates, Christophe Dessimoz, Yannis Nevers

Abstract read
In one paragraph

Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Sadé BatesDepartment of Computational Biology, University of Lausanne, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9736-1077
Christophe DessimozDepartment of Computational Biology, University of Lausanne, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-2170-853X
Yannis NeversDepartment of Computational Biology, University of Lausanne, CH-1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-8604-2943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Advances in sequencing technologies have enabled researchers to sequence whole genomes rapidly and cheaply. However, despite improvements in genome assembly, structural genome annotation (i.e. the identification of protein-coding genes) remains challenging, particularly for eukaryotic genomes. It requires using several approaches (typically Results: We present OMAnnotator, a novel approach to building a consensus annotation. OMAnnotator repurposes the OMA algorithm, originally designed to elucidate evolutionary relationships among genes across species, to integrate predictions from different annotation sources into a consensus annotation, using evolutionary information as a tie-breaker. During benchmarking on the Availability and implementation: OMAnnotator is available on GitHub (https://github.com/DessimozLab/OMAnnotator).

Identifiers

PMID41736999
PMCPMC12927413

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.