TEi (Transposable element insertion identification) is design to identify TE insertion from paired-end illumina reads, takes whole-exome sequencing (WES), whole-genome sequencing (WGS) and Histone Modification (H3K27ac et al.) data
TEi has been successfully installed on Mac OSX, Linux, and Windows, using the devtools package to install directly from GitHub
devtools::install_github("tchen-tt/TEi")
Improvements and new features will be added on a regular basis, please post on the github page with any question or if you would like to contribute.
Please contact us:
Tao Chen: taochenhm@gmail.com
[1] Tang Z, Steranka J P, Ma S, et al. Human transposon insertion profiling: Analysis, visualization and identification of somatic LINE-1 insertions in ovarian cancer[J]. Proceedings of the National Academy of Sciences, 2017, 114(5): E733-E740.
[2] Chu C, Borges-Monroy R, Viswanadham V V, et al. Comprehensive identification of transposable element insertions using multiple sequencing technologies[J]. Nature communications, 2021, 12(1): 3836.
[3] Vendrell-Mir P, Barteri F, Merenciano M, et al. A benchmark of transposon insertion detection tools using real data[J]. Mobile DNA, 2019, 10: 1-19.
[4] Riehl K, Riccio C, Miska E A, et al. TransposonUltimate: software for transposon classification, annotation and detection[J]. Nucleic Acids Research, 2022, 50(11): e64-e64.
[5] Stuart T, Eichten S R, Cahn J, et al. Population scale mapping of transposable element diversity reveals links to gene regulation and epigenomic variation[J]. elife, 2016, 5: e20777.