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

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

Publikováno v: Genome Biology, Vol 24, Iss 1, Pp 1-20 (2023)

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 assemb

Externí odkaz: https://doaj.org/article/0fffd485108c4f1f8a6a3ee90271cf6a

A transposon story : from TE content to TE dynamic invasion of Drosophila genomes using the single-molecule sequencing technology from Oxford Nanopore

Autor: Séverine Chambeyron, Nelly Burlet, Judit Salces-Ortiz, Bruno Mugat, Philippe Veber, François Sabot, Nguyet Thi-Minh Dang, Alain Pélisson, Marie Fablet, Cristina Vieira, Yuki Ogyama, Vincent Mérel, Matthieu Boulesteix, Mourdas Mohamed, Dany Severac

Publikováno v: Cells
Cells, MDPI, In press, ⟨10.3390/cells9081776⟩
Cells, 2020, 9 (8), pp.1776. ⟨10.3390/cells9081776⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
Volume 9
Issue 8
Cells, MDPI, 2020, 9 (8), pp.1776. ⟨10.3390/cells9081776⟩
Cells, Vol 9, Iss 1776, p 1776 (2020)

Transposable elements (TEs) are the main components of genomes. However, due to their repetitive nature, they are very difficult to study using data obtained with short-read sequencing technologies. Here, we describe an efficient pipeline to accurate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b0e32791a8fbe4b11174f1d2306c731
http://www.documentation.ird.fr/hor/fdi:010079692