Advances in methods and applications of single-cell Hi-C data analysis.
10.7507/1001-5515.202303046
- Author:
Haiyan GONG
1
;
Fuqiang MA
2
;
Xiaotong ZHANG
3
Author Information
1. Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, P. R. China.
2. Inspur Group Co. Ltd., Jinan 250101, P. R. China.
3. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China.
- Publication Type:Journal Article
- Keywords:
Cell classification;
Data analysis;
Imputation;
Multi-scale structure;
Single-cell Hi-C
- MeSH:
Chromatin;
Genome;
Single-Cell Analysis/methods*;
Cell Differentiation;
Data Analysis
- From:
Journal of Biomedical Engineering
2023;40(5):1033-1039
- CountryChina
- Language:Chinese
-
Abstract:
Chromatin three-dimensional genome structure plays a key role in cell function and gene regulation. Single-cell Hi-C techniques can capture genomic structure information at the cellular level, which provides an opportunity to study changes in genomic structure between different cell types. Recently, some excellent computational methods have been developed for single-cell Hi-C data analysis. In this paper, the available methods for single-cell Hi-C data analysis were first reviewed, including preprocessing of single-cell Hi-C data, multi-scale structure recognition based on single-cell Hi-C data, bulk-like Hi-C contact matrix generation based on single-cell Hi-C data sets, pseudo-time series analysis, and cell classification. Then the application of single-cell Hi-C data in cell differentiation and structural variation was described. Finally, the future development direction of single-cell Hi-C data analysis was also prospected.
