Evidence map›Paper›PMID 38434623›Full record

ArticleF1000Research2023

DrosOMA: the

Antonin Thiébaut, Adrian M Altenhoff, Giulia Campli, Natasha Glover, Christophe Dessimoz, Robert M Waterhouse

Abstract read
In one paragraph

Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Molecular evolution of octopamine receptors inbioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. DrosOMA: theF1000Research · 2023
    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

6 authors.

Antonin ThiébautDepartment of Ecology and Evolution, SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-7587-5587
Adrian M AltenhoffDepartment of Computer Science, SIB Swiss Institute of Bioinformatics, ETH Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-7492-1273
Giulia CampliDepartment of Ecology and Evolution, SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.
Natasha GloverDepartment of Computational Biology, SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-1811-4340
Christophe DessimozDepartment of Computational Biology, SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.
Robert M WaterhouseDepartment of Ecology and Evolution, SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-4199-9052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Comparative genomic analyses to delineate gene evolutionary histories inform the understanding of organismal biology by characterising gene and gene family origins, trajectories, and dynamics, as well as enabling the tracing of speciation, duplication, and loss events, and facilitating the transfer of gene functional information across species. Genomic data are available for an increasing number of species from the genus Drosophila, however, a dedicated resource exploiting these data to provide the research community with browsable results from genus-wide orthology delineation has been lacking. Methods: Using the OMA Orthologous Matrix orthology inference approach and browser deployment framework, we catalogued orthologues across a selected set of Drosophila species with high-quality annotated genomes. We developed and deployed a dedicated instance of the OMA browser to facilitate intuitive exploration, visualisation, and downloading of the genus-wide orthology delineation results. Results: DrosOMA - the Drosophila Orthologous Matrix browser, accessible from https://drosoma.dcsr.unil.ch/ - presents the results of orthology delineation for 36 drosophilids from across the genus and four outgroup dipterans. It enables querying and browsing of the orthology data through a feature-rich web interface, with gene-view, orthologous group-view, and genome-view pages, including comprehensive gene name and identifier cross-references together with available functional annotations and protein domain architectures, as well as tools to visualise local and global synteny conservation. Conclusions: The DrosOMA browser demonstrates the deployability of the OMA browser framework for building user-friendly orthology databases with dense sampling of a selected taxonomic group. It provides the Drosophila research community with a tailored resource of browsable results from genus-wide orthology delineation.

Indexed as

DrosophilaEvolution, MolecularAnimalsComparative Genomic HybridizationDatabases, FactualGenomicscomparative genomicsdatabaseDrosophilagene familiesorthologous groupsorthologuesorthologysynteny

Identifiers

PMID38434623
PMCPMC10905159

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Registered trials

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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.