hic:
in-silico 100*100 Hi-C contact matrix with with 5% noise
Description
in-silico distances were computed from the random configuration conf
. A power law model was then used to generate matching in-silico Hi-C frequencies. Random Noise was further added to long range frequencies to mimic a typical situation for Hi-C data. The resulting frequencies were then used to construct this matrix.
Details
This data structure is used to illustrate the usage of calibrate
.
References
Y. Shavit, F.K. Hamey, P. Lio', FisHiCal: an R package for iterative FISH-based calibration of Hi-C data, 2014 (submitted).