title: Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data.
abstract: How DNA is organized in three dimensions inside the cell nucleus and how this affects the ways in which cells access, read and interpret genetic information are among the longest standing questions in cell biology. Using newly developed molecular, genomic and computational approaches based on the chromosome conformation capture technology (such as 3C, 4C, 5C and Hi-C), the spatial organization of genomes is being explored at unprecedented resolution. Interpreting the increasingly large chromatin interaction data sets is now posing novel challenges. Here we describe several types of statistical and computational approaches that have recently been developed to analyse chromatin interaction data.
authors: Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605-2324, USA. job.dekker@umassmed.edu
authors: Job
authors: J
authors: Dekker
authors: Marc A
authors: MA
authors: Marti-Renom
authors: Leonid A
authors: LA
authors: Mirny
mesh_terms: D000818:Animals; D002843:Chromatin / Q000235:genetics*; D002874:Chromosome Mapping; D002877:Chromosomes, Human / Q000235:genetics; D004843:Epistasis, Genetic; D015894:Genome, Human; D006801:Humans; D008957:Models, Genetic; D009690:Nucleic Acid Conformation
chemical_list: D002843:Chromatin
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