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

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 a...

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Veröffentlicht in:Genome Biology 2023-04, Vol.24 (1), p.63-20, Article 63
Hauptverfasser: Mohamed, Mourdas, Sabot, François, Varoqui, Marion, Mugat, Bruno, Audouin, Katell, Pélisson, Alain, Fiston-Lavier, Anna-Sophie, Chambeyron, Séverine
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Sprache:eng
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Zusammenfassung: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 .
ISSN:1474-760X
1474-7596
1465-6906
1474-760X
DOI:10.1186/s13059-023-02911-2