Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data
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Mirny_Exploring the three.pdf
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Author(s)
Dekker, Job
Marti-Renom, Marc A.
Mirny, Leonid A.
Date Issued
May 2013
Journal
Nature Reviews Genetics
Publisher
Nature Publishing Group
Citation
Dekker, Job, Marc A. Marti-Renom, and Leonid A. Mirny. “Exploring the Three-Dimensional Organization of Genomes: Interpreting Chromatin Interaction Data.” Nature Reviews Genetics 14, no. 6 (May 9, 2013): 390–403.
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. School of Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1038/nrg3454
