Advances in methods and applications of single-cell Hi-C data analysis / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1033-1039, 2023.
Artículo
en Chino
| WPRIM
| ID: wpr-1008931
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Cromatina
/
Diferenciación Celular
/
Genoma
/
Análisis de la Célula Individual
/
Análisis de Datos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2023
Tipo del documento:
Artículo
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