摘要
Topologically associating domains (TAD) are a key structure of the 3D mammalian genomes. However, the prevalence and dynamics of TAD-like domains in single cells remain elusive. Here we develop a new algorithm, named deTOKI, to decode TAD-like domains with single-cell Hi-C data. By non-negative matrix factorization, deTOKI seeks regions that insulate the genome into blocks with minimal chance of clustering. deTOKI outperforms competing tools and reliably identifies TAD-like domains in single cells. Finally, we find that TAD-like domains are not only prevalent, but also subject to tight regulation in single cells.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 217 |
| 期刊 | Genome Biology |
| 卷 | 22 |
| 期 | 1 |
| DOI | |
| 出版状态 | 已出版 - 12月 2021 |
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