Evidence map›Paper›PMID 30719103›Full record

ArticleMobile DNA2019

RepetDB: a unified resource for transposable element references.

Joëlle Amselem, Guillaume Cornut, Nathalie Choisne, Michael Alaux, Françoise Alfama-Depauw, Véronique Jamilloux, Florian Maumus, Thomas Letellier, Isabelle Luyten, Cyril Pommier and 2 more

Abstract read
In one paragraph

Article in Mobile DNA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  7. Resolving a century-old enigma: potato 'Bolters' originate from instability of the StCDF1.3 allele.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  8. Horizontal transmission of functionally diverse transposons is a major source of new introns.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  13. Identification of two mutant JASON-RELATED genes associated with unreduced pollen production in potato.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
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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

12 authors.

Joëlle AmselemURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.ORCID 0000-0001-7124-3454
Guillaume CornutURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Nathalie ChoisneURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Michael AlauxURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Françoise Alfama-DepauwURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Véronique JamillouxURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Florian MaumusURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Thomas LetellierURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Isabelle LuytenURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Cyril PommierURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Anne-Françoise Adam-BlondonURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.
Hadi QuesnevilleURGI, INRA, Université Paris-Saclay, 78026 Versailles, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThanks to their ability to move around and replicate within genomes, transposable elements (TEs) are perhaps the most important contributors to genome plasticity and evolution. Their detection and annotation are considered essential in any genome sequencing project. The number of fully sequenced genomes is rapidly increasing with improvements in high-throughput sequencing technologies. A fully automated de novo annotation process for TEs is therefore required to cope with the deluge of sequence data.However, all automated procedures are error-prone, and an automated procedure for TE identification and classification would be no exception. It is therefore crucial to provide not only the TE reference sequences, but also evidence justifying their classification, at the scale of the whole genome. A few TE databases already exist, but none provides evidence to justify TE classification. Moreover, biological information about the sequences remains globally poor.

resultsWe present here the RepetDB database developed in the framework of GnpIS, a genetic and genomic information system. RepetDB is designed to store and retrieve detected, classified and annotated TEs in a standardized manner. RepetDB is an implementation with extensions of InterMine, an open-source data warehouse framework used here to store, search, browse, analyze and compare all the data recorded for each TE reference sequence. InterMine can display diverse information for each sequence and allows simple to very complex queries. Finally, TE data are displayed via a worldwide data discovery portal. RepetDB is accessible at urgi.versailles.inra.fr/repetdb.

conclusionsRepetDB is designed to be a TE knowledge base populated with full de novo TE annotations of complete (or near-complete) genome sequences. Indeed, the description and classification of TEs facilitates the exploration of specific TE families, superfamilies or orders across a large range of species. It also makes possible cross-species searches and comparisons of TE family content between genomes.

Indexed as

DatabaseRepetDBTransposable element

Identifiers

PMID30719103
PMCPMC6350395

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.