4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?

Genome-wide sequencing technologies enable investigations of the structural properties of the genome in various spatial dimensions. Here, we review computational techniques developed to model the three-dimensional genome in single cells versus ensembles of cells and assess their underlying assumptio...

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Veröffentlicht in:	Genome Biology 2016-04, Vol.17 (1), p.54-54, Article 54
Hauptverfasser:	Sekelja, Monika, Paulsen, Jonas, Collas, Philippe
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Chromatin Chromosomes Computational Biology - methods Computer applications Conformation CRISPR Deoxyribonucleic acid DNA DNA methylation Epigenetics Gene expression Gene loci genome Genomes Models, Molecular Nucleic Acid Conformation Nucleosomes - chemistry Nucleosomes - genetics Population Review Single-Cell Analysis - methods Sparsity Spatial Analysis Stem cells
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Beschreibung
Zusammenfassung:	Genome-wide sequencing technologies enable investigations of the structural properties of the genome in various spatial dimensions. Here, we review computational techniques developed to model the three-dimensional genome in single cells versus ensembles of cells and assess their underlying assumptions. We further address approaches to study the spatio-temporal aspects of genome organization from single-cell data.
ISSN:	1474-760X 1474-7596 1474-760X
DOI:	10.1186/s13059-016-0923-2