Genome Biology (Jul 2021)

DeTOKI identifies and characterizes the dynamics of chromatin TAD-like domains in a single cell

  • Xiao Li,
  • Guangjie Zeng,
  • Angsheng Li,
  • Zhihua Zhang

DOI
https://doi.org/10.1186/s13059-021-02435-7
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 26

Abstract

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Abstract 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.

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