TE-nester: a recursive software tool for structure-based discovery of nested transposable elements

Matej Lexa, Radovan Lapar, Pavel Jedlicka, Ivan Vanat, Michal Cervennansky, Eduard Kejnovský. TE-nester: a recursive software tool for structure-based discovery of nested transposable elements. In Huiru Jane Zheng, Zoraida Callejas, David Griol, Haiying Wang, Xiaohua Hu, Harald Schmidt, Jan Baumbach, Julie Dickerson, Le Zhang, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, December 3-6, 2018. pages 2776-2778, IEEE, 2018. [doi]

@inproceedings{LexaLJVCK18,
  title = {TE-nester: a recursive software tool for structure-based discovery of nested transposable elements},
  author = {Matej Lexa and Radovan Lapar and Pavel Jedlicka and Ivan Vanat and Michal Cervennansky and Eduard Kejnovský},
  year = {2018},
  doi = {10.1109/BIBM.2018.8621071},
  url = {https://doi.org/10.1109/BIBM.2018.8621071},
  researchr = {https://researchr.org/publication/LexaLJVCK18},
  cites = {0},
  citedby = {0},
  pages = {2776-2778},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, December 3-6, 2018},
  editor = {Huiru Jane Zheng and Zoraida Callejas and David Griol and Haiying Wang and Xiaohua Hu and Harald Schmidt and Jan Baumbach and Julie Dickerson and Le Zhang},
  publisher = {IEEE},
  isbn = {978-1-5386-5488-0},
}