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SnapHiC-G: identifying long-range enhancer-promoter interactions from single-cell Hi-C data via a global background model.
- Source :
-
Briefings in bioinformatics [Brief Bioinform] 2024 Jul 25; Vol. 25 (5). - Publication Year :
- 2024
-
Abstract
- Harnessing the power of single-cell genomics technologies, single-cell Hi-C (scHi-C) and its derived technologies provide powerful tools to measure spatial proximity between regulatory elements and their target genes in individual cells. Using a global background model, we propose SnapHiC-G, a computational method, to identify long-range enhancer-promoter interactions from scHi-C data. We applied SnapHiC-G to scHi-C datasets generated from mouse embryonic stem cells and human brain cortical cells. SnapHiC-G achieved high sensitivity in identifying long-range enhancer-promoter interactions. Moreover, SnapHiC-G can identify putative target genes for noncoding genome-wide association study (GWAS) variants, and the genetic heritability of neuropsychiatric diseases is enriched for single-nucleotide polymorphisms (SNPs) within SnapHiC-G-identified interactions in a cell-type-specific manner. In sum, SnapHiC-G is a powerful tool for characterizing cell-type-specific enhancer-promoter interactions from complex tissues and can facilitate the discovery of chromatin interactions important for gene regulation in biologically relevant cell types.<br /> (© The Author(s) 2024. Published by Oxford University Press.)
Details
- Language :
- English
- ISSN :
- 1477-4054
- Volume :
- 25
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Briefings in bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- 39222061
- Full Text :
- https://doi.org/10.1093/bib/bbae426