A fast and adaptive detection framework for genome-wide chromatin loop mapping from Hi-C data.

ABSTRACT: Chromatin loop identification plays an important role in molecular biology and 3D genomics research, as it constitutes a fundamental process in transcription and gene regulation. Such precise chromatin structures can be identified across genome-wide interaction matrices via Hi-C data analysis, which is essential for unraveling the intricacies of transcriptional regulation. Given the increasing number of genome-wide contact maps, derived from both in situ Hi-C and single-cell Hi-C experiments, there is a pressing need for efficient and resilient algorithms capable of processing data from diverse experiments rapidly and adaptively. Here, we propose YOLOOP, a novel detection-based framework that is different from the conventional paradigm. YOLOOP stands out for its speed, surpassing the perfo

SUBMITTER: Chen S 

PROVIDER: S-EPMC11444182 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature