The `Juicebox<http://aidenlab.org/juicebox/>`_ software allows dynamic visualization of HiC contact maps. The list of valid interaction products called by HiC-Pro can can be converted in Juicebox input format (.hic file). To do so, please have a look at the hicpro2juicebox.sh utility.
The output format of HiC-Pro can be loaded into the `HiCPlotter<https://github.com/kcakdemir/HiCPlotter>`_ software for Hi-C data visualization. Here is a small example of how to use it.
## Plot the genome-wide map at 1Mb resolution
python HiCPlotter.py -f hic_results/matrix/sample1/iced/1000000/sample1_1000000_iced.matrix -o Examplegw -r 1000000 -tri 1 -bed hic_results/matrix/sample1/raw/1000000/sample1_1000000_ord.bed -n hES -wg 1 -chr chrX
## Plot the chrX at 150Kb resolution
python HiCPlotter.py -f hic_results/matrix/sample1/iced/150000/sample1_150000_iced.matrix -o Exemple -r 150000 -tri 1 -bed hic_results/matrix/sample1/raw/150000/sample1_150000_ord.bed -n Test -chr chrX -ptr 1
TADs calling is frequently run on Hi-C data at a 40Kb or higher resolution. In order to run the first method proposed by Dixon et al., you can generated the input file using the sparseTodense.py utility.