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

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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]

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