Extracting Chromosome Structural Information as One-Dimensional Metrics and Integrating Them with Epigenomics.
Methods Mol Biol
; 2856: 433-444, 2025.
Article
in En
| MEDLINE
| ID: mdl-39283467
ABSTRACT
Hi-C is a powerful method for obtaining genome-wide chromosomal structural information. The typical Hi-C analysis utilizes a two-dimensional (2D) contact matrix, which poses challenges for quantitative comparisons, visualizations, and integrations across multiple datasets. Here, we present a protocol for extracting one-dimensional (1D) features from chromosome structure data by HiC1Dmetrics. Leveraging these 1D features enables integrated analysis of Hi-C and epigenomic data.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Epigenomics
Limits:
Humans
Language:
En
Journal:
Methods Mol Biol
Journal subject:
BIOLOGIA MOLECULAR
Year:
2025
Document type:
Article
Affiliation country:
China
Country of publication:
United States