| Literature DB >> 31960372 |
Abstract
The invention of Hi-C has greatly facilitated 3D genome research through an unbiased probing of 3D chromatin interactions. It produces enormous amount of sequencing data that capture multiscale chromatin conformation structures. In the last decade, numerous computational methods have been developed to analyze Hi-C data and predict A/B compartments, topologically associating domains (TADs), and significant chromatin contacts. This chapter introduced the iHiC package that provides several utilities to facilitate Hi-C data analysis with public software and demonstrated its application to a Hi-C dataset generated for mouse embryonic stem (ES) cells.Entities:
Keywords: A/B compartments; Bioinformatics; Chromatin contacts; Hi-C; TAD
Year: 2020 PMID: 31960372 PMCID: PMC7441592 DOI: 10.1007/978-1-0716-0301-7_3
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745