Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data
Author(s)
Dekker, Job; Marti-Renom, Marc A.; Mirny, Leonid A.
DownloadMirny_Exploring the three.pdf (1.425Mb)
OPEN_ACCESS_POLICY
Open Access Policy
Creative Commons Attribution-Noncommercial-Share Alike
Terms of use
Metadata
Show full item recordAbstract
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.
Date issued
2013-05Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science; Massachusetts Institute of Technology. Department of Physics; Massachusetts Institute of Technology. School of EngineeringJournal
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
ISSN
1471-0056
1471-0064