TrEMOLO: Accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches
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 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.
Fiston-Lavier Anna-Sophie、Chambeyron Severine、Sabot Francois、Audouin Katell、Pelisson Alain、Varoqui Marion、Mugat Bruno、Mohamed Mourdas
遗传学生物科学研究方法、生物科学研究技术分子生物学
Fiston-Lavier Anna-Sophie,Chambeyron Severine,Sabot Francois,Audouin Katell,Pelisson Alain,Varoqui Marion,Mugat Bruno,Mohamed Mourdas.TrEMOLO: Accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches[EB/OL].(2025-03-28)[2025-05-02].https://www.biorxiv.org/content/10.1101/2022.07.21.500944.点此复制
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