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. HiC-TE: a computational pipeline for Hi-C data analysis to study the role of repeat family interactions in the genome 3D organization. Bioinformatics, 38(16):4030-4032, 2022. [doi]

@article{LexaCNJTKHK22,
  title = {HiC-TE: a computational pipeline for Hi-C data analysis to study the role of repeat family interactions in the genome 3D organization},
  author = {Matej Lexa and Monika Cechova and Son Hoang Nguyen and Pavel Jedlicka and Viktor Tokan and Zdenek Kubat and Roman Hobza and Eduard Kejnovský},
  year = {2022},
  doi = {10.1093/bioinformatics/btac442},
  url = {https://doi.org/10.1093/bioinformatics/btac442},
  researchr = {https://researchr.org/publication/LexaCNJTKHK22},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {38},
  number = {16},
  pages = {4030-4032},
}