Analysis of Facial Motion Capture Data for Visual Speech Synthesis. - Milos Zelezný; Zdenek Krnoul; Pavel Jedlicka (SPECOM, 2015)

Toward Sign Language Motion Capture Dataset Building. - Zdenek Krnoul; Pavel Jedlicka; Jakub Kanis; Milos Zelezný (SPECOM, 2016)

TE-nester: a recursive software tool for structure-based discovery of nested transposable elements. - Matej Lexa; Radovan Lapar; Pavel Jedlicka; Ivan Vanat; Michal Cervenanský; Eduard Kejnovský (BIBM, 2018)

TE-greedy-nester: structure-based detection of LTR retrotransposons and their nesting. - Matej Lexa; Pavel Jedlicka; Ivan Vanat; Michal Cervenanský; Eduard Kejnovský (Bioinform., 2020)

HiC-TE: a computational pipeline for Hi-C data analysis to study the role of repeat family interactions in the genome 3D organization. - Matej Lexa; Monika Cechova; Son Hoang Nguyen; Pavel Jedlicka; Viktor Tokan; Zdenek Kubat; Roman Hobza; Eduard Kejnovský (Bioinform., 2022)

Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning. - Jakub Horvath; Pavel Jedlicka; Marie Kratka; Zdenek Kubat; Eduard Kejnovský; Matej Lexa (BioData Min., 2024)

Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning. - Jakub Horvath; Pavel Jedlicka; Marie Kratka; Zdenek Kubat; Eduard Kejnovský; Matej Lexa (BioData Min., 2024)