TrEMOLO is a bioinformatics tool dedicated to the detection of transposable elements movements using long reads.

This dataverse contains all the data that we used for the TrEMOLO paper: the simulated dataset, the source code of TrEMOLO as well as all the accessory codes.

"TrEMOLO: Accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches". Mohamed Mourdas, Sabot François, Varoqui Marion, Mugat Bruno, Audouin Katell, Pélisson Alain, Fiston-Lavier Anna-Sophie, Chambeyron Séverine. bioRxiv 2022.07.21.500944; doi: https://doi.org/10.1101/2022.07.21.500944
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TrEMOLO-2.3-beta1.zip
Oct 10, 2023 - 2.3-beta1 version of TrEMOLO
ZIP Archive - 61.8 MB - MD5: e03b114cf85c3e7de220b4836f6c6c41
README-TrEMOLO.md
Dec 19, 2022 - v2.2-beta1 version used for the publication data of TrEMOLO
Markdown Text - 21.3 KB - MD5: 1e7c5b492edcbc27ce15f9432630984a
All the codes used for simulating the genomes and so on
TrEMOLO-2.2-beta.zip
Dec 16, 2022 - v2.2-beta1 version used for the publication data of TrEMOLO
ZIP Archive - 45.7 MB - MD5: fbd89eded443d033208d613612c46542
genomesData.tar.gz
Dec 16, 2022 - Simulated genome sequences for replication control for TrEMOLO
Gzip Archive - 115.9 MB - MD5: 7a912bbb0b98eb838c66e7a081e44d0a
Simulated genome sequences for replicating the TrEMOLO benchmarking assays
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