Evidence map›Paper›PMID 39664814›Full record

ArticleNAR genomics and bioinformatics2024

New developments for the Quest for Orthologs benchmark service.

Adrian Altenhoff, Yannis Nevers, Vinh Tran, Dushyanth Jyothi, Maria Martin, Salvatore Cosentino, Sina Majidian, Marina Marcet-Houben, Diego Fuentes-Palacios, Emma Persson and 11 more

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Computational function prediction of bacteria and phage proteins.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  11. Article
  12. EvANI benchmarking workflow for evolutionary distance estimation.bioRxiv : the preprint server for biology · 2025
    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

21 authors.

Adrian AltenhoffETH Zurich, Department of Computer Science,Universitätstrasse 19, 8092 Zurich, Switzerland.
Yannis NeversSIB Swiss Institute of Bioinformatics, Quartier Sorge - Bâtiment Amphipôle, 1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-8604-2943
Vinh TranApplied Bioinformatics Group, Institute of Cell Biology and Neuroscience, Department of Biosciences, Goethe University, Max-von-Laue-Str. 13, D-60438 Frankfurt, Germany.
Dushyanth JyothiEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, Cambridgeshire CB10 1SD, UK.
Maria MartinEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, Cambridgeshire CB10 1SD, UK.
Salvatore CosentinoDepartment of Integrated Biosciences, University of Tokyo, Tokyo 277-0882, Japan.
Sina MajidianSIB Swiss Institute of Bioinformatics, Quartier Sorge - Bâtiment Amphipôle, 1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-5345-6982
Marina Marcet-HoubenBarcelona Supercomputing Center (BSC-CNS), Plaça d'Eusebi Güell, 1-3, 08034 Barcelona, Spain.
Diego Fuentes-PalaciosBarcelona Supercomputing Center (BSC-CNS), Plaça d'Eusebi Güell, 1-3, 08034 Barcelona, Spain.
Emma PerssonDepartment of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Box 1031, SE-17121 Solna, Sweden.
Thomas WalshEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, Cambridgeshire CB10 1SD, UK.
Odile LecompteDepartment of Computer Science, ICube, UMR 7357, Centre de Recherche en Biomédecine de Strasbourg, University of Strasbourg, CNRS, 1 rue Eugène Boeckel, 67000, Strasbourg, France.
Toni GabaldónBarcelona Supercomputing Center (BSC-CNS), Plaça d'Eusebi Güell, 1-3, 08034 Barcelona, Spain.
Steven KellyDepartment of Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK.
Yanhui HuDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0003-1494-1402
Wataru IwasakiDepartment of Integrated Biosciences, University of Tokyo, Tokyo 277-0882, Japan.
Salvador Capella-GutierrezBarcelona Supercomputing Center (BSC-CNS), Plaça d'Eusebi Güell, 1-3, 08034 Barcelona, Spain.ORCID https://orcid.org/0000-0002-0309-604X
Christophe DessimozSIB Swiss Institute of Bioinformatics, Quartier Sorge - Bâtiment Amphipôle, 1015 Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-2170-853X
Paul D ThomasDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90033, USA.ORCID https://orcid.org/0000-0002-9074-3507
Ingo EbersbergerApplied Bioinformatics Group, Institute of Cell Biology and Neuroscience, Department of Biosciences, Goethe University, Max-von-Laue-Str. 13, D-60438 Frankfurt, Germany.ORCID https://orcid.org/0000-0001-8187-9253
Erik SonnhammerDepartment of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Box 1031, SE-17121 Solna, Sweden.ORCID https://orcid.org/0000-0002-9015-5588

Funding

Text mining in the CloudU24HG010859 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAROL J BULT, PAUL Warren STERNBERG · 2019 to 2026
$42.0M
Gene Ontology Consortium and KnowledgebaseU24HG012212 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHRISTOPHER J MUNGALL, PAUL Warren STERNBERG · 2022 to 2026
$11.6M
NHGRI NIH HHS U24 HG010859NHGRI NIH HHS U24 HG012212Wellcome Trust
6 · The paper itself

Abstract

The Quest for Orthologs (QfO) orthology benchmark service (https://orthology.benchmarkservice.org) hosts a wide range of standardized benchmarks for orthology inference evaluation. It is supported and maintained by the QfO consortium, and is used to gather ortholog predictions and to examine strengths and weaknesses of newly developed and existing orthology inference methods. The web server allows different inference methods to be compared in a standardized way using the same proteome data. The benchmark results are useful for developing new methods and can help researchers to guide their choice of orthology method for applications in comparative genomics and phylogenetic analysis. We here present a new release of the Orthology Benchmark Service with a new benchmark based on feature architecture similarity as well as updated reference proteomes. We further provide a meta-analysis of the public predictions from 18 different orthology assignment methods to reveal how they relate in terms of ortholog predictions and benchmark performance. These results can guide users of orthologs to the best suited method for their purpose.

Identifiers

PMID39664814
PMCPMC11632614

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.