Evidence map›Paper›PMID 40998822›Full record

ArticleNature communications2025

TEtrimmer: a tool to automate the manual curation of transposable elements.

Jiangzhao Qian, Hang Xue, Shujun Ou, Ludwig Mann, Jessica Storer, Lisa Fürtauer, Tony Heitkam, Mary C Wildermuth, Stefan Kusch, Ralph Panstruga

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

10 authors.

Jiangzhao QianUnit of Plant Molecular Cell Biology, Institute for Biology I, RWTH Aachen University, Worringerweg 1, Aachen, Germany.ORCID http://orcid.org/0009-0004-4552-5625
Hang XueDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Shujun OuDepartment of Molecular Genetics, The Ohio State University, 592 Aronoff Laboratory, 318W 12th Avenue, Columbus, OH, USA.
Ludwig MannChair of Molecular Botany, Institute for Biology I, RWTH Aachen University, Worringerweg 3, Aachen, Germany.
Jessica StorerDepartment of Molecular and Cell Biology, University of Connecticut, 67 North Eagleville Road, Unit 3179, Storrs, CT, USA.
Lisa FürtauerUnit of Plant Molecular Systems Biology, Institute for Biology III, RWTH Aachen University, Worringerweg 1, Aachen, Germany.ORCID http://orcid.org/0000-0001-5248-4105
Tony HeitkamChair of Molecular Botany, Institute for Biology I, RWTH Aachen University, Worringerweg 3, Aachen, Germany.
Mary C WildermuthDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-4927-4144
Stefan KuschUnit of Plant Molecular Cell Biology, Institute for Biology I, RWTH Aachen University, Worringerweg 1, Aachen, Germany. s.kusch@fz-juelich.de.ORCID http://orcid.org/0000-0002-2472-5255
Ralph PanstrugaUnit of Plant Molecular Cell Biology, Institute for Biology I, RWTH Aachen University, Worringerweg 1, Aachen, Germany. panstruga@bio1.rwth-aachen.de.ORCID http://orcid.org/0000-0002-3756-8957

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 274444799National Science Foundation (NSF) 212294
6 · The paper itself

Abstract

Transposable elements (TEs) are repetitive DNA sequences that move within genomes and play important roles in gene regulation and genome evolution. Accurate TE annotation in genomes is crucial for downstream analyses but challenging due to their sequence diversity and frequent fragmentation, including the occurrence of nested copies. We here present TEtrimmer, a tool that automates and replaces key steps of traditional manual curation of TEs. TEtrimmer combines phylogenetic tree analysis with the machine learning method DBSCAN to cluster TE sequences accurately and applies a sliding-window strategy to remove poorly conserved regions of TE-derived multiple sequence alignments. TEtrimmer also provides detailed report plots and features a graphical user interface (GUI) application. Tested on the genomes of six organisms belonging to various kingdoms of eukaryotic life and three simulated genomes, TEtrimmer consistently improved the identification of intact TEs compared to the established tools EDTA and RepeatModeler2.

Indexed as

DNA Transposable ElementsMolecular Sequence AnnotationSoftwareAnimalsGenomeGenomicsHumansMachine LearningPhylogenySequence AlignmentDNA Transposable Elements

Identifiers

PMID40998822
PMCPMC12462492

What OpenQuestion holds

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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.