Literature DB >> 31470090

Computational approaches for inferring 3D conformations of chromatin from chromosome conformation capture data.

Dario Meluzzi1, Gaurav Arya2.   

Abstract

Chromosome conformation capture (3C) and its variants are powerful experimental techniques for probing intra- and inter-chromosomal interactions within cell nuclei at high resolution and in a high-throughput, quantitative manner. The contact maps derived from such experiments provide an avenue for inferring the 3D spatial organization of the genome. This review provides an overview of the various computational methods developed in the past decade for addressing the very important but challenging problem of deducing the detailed 3D structure or structure population of chromosomal domains, chromosomes, and even entire genomes from 3C contact maps.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31470090      PMCID: PMC7044057          DOI: 10.1016/j.ymeth.2019.08.008

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  98 in total

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7.  Computational construction of 3D chromatin ensembles and prediction of functional interactions of alpha-globin locus from 5C data.

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  7 in total

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2.  Modeling the 3D genome of plants.

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Journal:  Nucleus       Date:  2021-12       Impact factor: 4.197

3.  Inferring chromosome radial organization from Hi-C data.

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6.  Imputation-free reconstructions of three-dimensional chromosome architectures in human diploid single-cells using allele-specified contacts.

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7.  Multiscale modeling of genome organization with maximum entropy optimization.

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  7 in total

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