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bioRxiv
Preprint . 2019
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NAR Genomics and Bioinformatics
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NAR Genomics and Bioinformatics
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PHi-C: deciphering Hi-C data into polymer dynamics

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Preprint 12 Mar 2019Publisher:openRxivJournal:NAR Genomics and Bioinformatics, volume 2 (eissn: 2631-9268, Copyright policy )
Authors: Soya Shinkai; Masaki Nakagawa; Takeshi Sugawara; Yuichi Togashi; Hiroshi Ochiai; Ryuichiro Nakato; Yuichi Taniguchi; +1 Authors

doi: 10.1101/574962 , 10.1093/nargab/lqaa020

pmid: 33575580

pmc: PMC7671433

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

Abstract

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.

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  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 42
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
Green
gold