Evidence map›Paper›PMID 41051215›Full record

ArticleBioinformatics (Oxford, England)2025

DeNoFo: a file format and toolkit for standardized, comparable de novo gene annotation.

Elias Dohmen, Margaux Aubel, Lars A Eicholt, Paul Roginski, Victor Luria, Amir Karger, Anna Grandchamp

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. DetectNAR genomics and bioinformatics · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Elias DohmenInstitute for Evolution and Biodiversity, University of Münster, Münster 48151, Germany.ORCID 0000-0002-7203-2314
Margaux AubelInstitute for Evolution and Biodiversity, University of Münster, Münster 48151, Germany.ORCID 0000-0003-1653-9441
Lars A EicholtInstitute for Evolution and Biodiversity, University of Münster, Münster 48151, Germany.ORCID 0000-0002-3985-3698
Paul RoginskiInstitute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette 91198, France.ORCID 0000-0003-0297-723X
Victor LuriaDepartment of Neuroscience, Yale School of Medicine, New Haven, CT 06510, United States.ORCID 0000-0003-0558-0983
Amir KargerIT-Research Computing, Harvard Medical School, Boston, MA 02115, United States.ORCID 0000-0002-4561-3850
Anna GrandchampAix Marseille University, INSERM, TAGC, UMR_S1090, Marseille 13288, France.ORCID 0000-0003-3018-3138

Funding

Heterogeneity of Forebrain Neural PrecursorsR01NS095654 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAYDAR, TARIK F, SESTAN, NENAD · 2015 to 2019
$3.4M
Deutsche Forschungsgemeinschaft 503348080Deutsche Forschungsgemeinschaft BO 2544/20-1Deutsche Forschungsgemeinschaft BO2544-22-1EMBO Scientific Exchange 10944NIH HHS R01NS095654NINDS NIH HHS R01 NS095654Postdoctoral Fellowship 2023-981550Volkswagen foundation 98183
6 · The paper itself

Abstract

motivationDe novo genes emerge from previously non-coding regions of the genome, challenging the traditional view that new genes primarily arise through duplication and adaptation of existing ones. Characterized by their rapid evolution and their novel structural properties or functional roles, de novo genes represent a young area of research. Therefore, the field currently lacks established standards and methodologies, leading to inconsistent terminology and challenges in comparing and reproducing results.

resultsThis work presents a standardized annotation format to document the methodology of de novo gene datasets in a reproducible way. We developed DeNoFo, a toolkit to provide easy access to this format that simplifies annotation of datasets and facilitates comparison across studies. Unifying the different protocols and methods in one standardized format, while providing integration into established file formats, such as fasta or gff, ensures comparability of studies and advances new insights in this rapidly evolving field. AVAILABILITY AND IMPLEMENTATION: DeNoFo is available through the official Python Package Index (PyPI) and at https://github.com/EDohmen/denofo. All tools have a graphical user interface and a command line interface. The toolkit is implemented in Python3, available for all major platforms and installable with pip and uv.

Indexed as

Computational BiologyMolecular Sequence AnnotationSoftwareDatabases, GeneticUser-Computer Interface

Identifiers

PMID41051215
PMCPMC12516307

What OpenQuestion holds

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LicenceCC BY
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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.