external link: https://github.com/3DGenomes/binless
developed by Marti-Renom Laboratory at CNAG-CGR
Binless, a resolution-agnostic method that adapts to the quality and quantity of available data, to detect both interactions and differences. Binless relies on an alternate representation of Hi-C data, which leads to a more detailed classification of paired-end reads.
Spill YG, Castillo D, Vidal E, Marti-Renom MA, "Binless normalization of Hi-C data provides significant interaction and difference detection independent of resolution”, Nature Communications, 10:1938 (2019) doi:10.1038/s41467-019-09907-2