Evidence map›Paper›PMID 37013657›Full record

ArticleGenome biology2023

TrEMOLO: accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches.

Mourdas Mohamed, François Sabot, Marion Varoqui, Bruno Mugat, Katell Audouin, Alain Pélisson, Anna-Sophie Fiston-Lavier, Séverine Chambeyron

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

8 authors.

Mourdas Mohamed *Institute of Human Genetics, UMR9002, CNRS and Université de Montpellier, Montpellier, France.
François Sabot *DIADE, University of Montpellier, CIRAD, IRD, Montpellier, France.ORCID 0000-0002-8522-7583
Marion VaroquiInstitute of Human Genetics, UMR9002, CNRS and Université de Montpellier, Montpellier, France.
Bruno MugatInstitute of Human Genetics, UMR9002, CNRS and Université de Montpellier, Montpellier, France.
Katell AudouinTAGC, UMR 1090 INSERM, Marseille, France.
Alain PélissonInstitute of Human Genetics, UMR9002, CNRS and Université de Montpellier, Montpellier, France.
Anna-Sophie Fiston-Lavier *ISEM, Université Montpellier, CNRS, IRD, CIRAD, EPHE, Montpellier, France. anna-sophie.fiston-lavier@umontpellier.fr.ORCID 0000-0002-7306-6532
Séverine Chambeyron *Institute of Human Genetics, UMR9002, CNRS and Université de Montpellier, Montpellier, France. severine.chambeyron@igh.cnrs.fr.ORCID 0000-0003-2775-6556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposable Element MOnitoring with LOng-reads (TrEMOLO) is a new software that combines assembly- and mapping-based approaches to robustly detect genetic elements called transposable elements (TEs). Using high- or low-quality genome assemblies, TrEMOLO can detect most TE insertions and deletions and estimate their allele frequency in populations. Benchmarking with simulated data revealed that TrEMOLO outperforms other state-of-the-art computational tools. TE detection and frequency estimation by TrEMOLO were validated using simulated and experimental datasets. Therefore, TrEMOLO is a comprehensive and suitable tool to accurately study TE dynamics. TrEMOLO is available under GNU GPL3.0 at https://github.com/DrosophilaGenomeEvolution/TrEMOLO .

Indexed as

DNA Transposable ElementsSoftwareGene FrequencyHigh-Throughput Nucleotide SequencingSequence Analysis, DNADNA Transposable ElementsGenomeHaplotypesLong-read DNA sequencingNanopore sequencingSoftwareStructural variationTransposable element allelic frequencyTransposable element calling

Identifiers

PMID37013657
PMCPMC10069131

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.