Significance in scale space for Hi-C data.

ABSTRACT:

Motivation

Hi-C technology has been developed to profile genome-wide chromosome conformation. So far Hi-C data have been generated from a large compendium of different cell types and different tissue types. Among different chromatin conformation units, chromatin loops were found to play a key role in gene regulation across different cell types. While many different loop calling algorithms have been developed, most loop callers identified shared loops as opposed to cell-type-specific loops.

Results

We propose SSSHiC, a new loop calling algorithm based on significance in scale space, which can be used to understand data at different levels of resolution. By applying SSSHiC to neuronal and glial Hi-C data, we detected more loops that are potentially engaged in cell-type-specifi

SUBMITTER: Liu R 

PROVIDER: S-EPMC11879645 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature