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A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with...

A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9dc4b6448f1546c59e125cdd8a7d09cf

A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with applications to interphase chromosomes and structural variants

About this item

Full title

A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with applications to interphase chromosomes and structural variants

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2023-03, Vol.14 (1), p.1150-1150, Article 1150

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The principles that govern the organization of genomes, which are needed for an understanding of how chromosomes are packaged and function in eukaryotic cells, could be deciphered if the three-dimensional (3D) structures are known. Recently, single-cell imaging techniques have been developed to determine the 3D coordinates of genomic loci in vivo....

Alternative Titles

Full title

A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with applications to interphase chromosomes and structural variants

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9dc4b6448f1546c59e125cdd8a7d09cf

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9dc4b6448f1546c59e125cdd8a7d09cf

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-023-36412-4

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