論文

査読有り
2020年3月31日

PHi-C: deciphering Hi-C data into polymer dynamics

NAR Genomics and Bioinformatics
  • Soya Shinkai
  • ,
  • Masaki Nakagawa
  • ,
  • Takeshi Sugawara
  • ,
  • Yuichi Togashi
  • ,
  • Hiroshi Ochiai
  • ,
  • Ryuichiro Nakato
  • ,
  • Yuichi Taniguchi
  • ,
  • Shuichi Onami

2
2
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1093/nargab/lqaa020

Computational modelling methods for Hi-C data have revealed averaged and static features of the 3D genome in cell nuclei. Here, we describe a 4D simulation method, PHi-C (Polymer dynamics deciphered from Hi-C data), that depicts dynamic 3D genome features through polymer modelling. This method allows for demonstrations of dynamic characteristics of genomic loci and chromosomes, as observed in live-cell imaging experiments, and provides physical insights into Hi-C data.

リンク情報
DOI
https://doi.org/10.1093/nargab/lqaa020
URL
http://orcid.org/0000-0001-7584-5970
ID情報
  • DOI : 10.1093/nargab/lqaa020
  • ISSN : 2631-9268
  • ORCIDのPut Code : 71402170

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