DML Sharif University of Technology
A background model for Hi-C data
Hi-C is a method for capturing contacts between all pairs of DNA fragments in one experiment. In the process of Hi-C experiment, pairs of fragments appearing as ligation are recorded as interactions. However, not all of these ligations are due to real meaningful interactions between DNA fragments. Some may have been generated as a result of random collisions due to Brownian motion of fragments in the solution. These pairs of fragments may be close to each other in DNA, or may have come close to each other during dynamic movements of DNA. The goal of background correction models is to calculate the significance of the recorded interactions for distinguishing between real and random interactions. Max-Hi-C is a statistical background model for both general Hi-C and capture Hi-C libraries. The significance of each interaction is calculated as a function of bias factors of its two ends and their genomic distance. The training is done by maximizing the likelihood of the observed interactions.
Start Date
Hamid R. Rabiee
Rassa Ghavami
Narges Rezaie