Bridging the Resolution Gap in Structural Modeling of 3D Genome Organization
Name
Marti-Renom-2011-Bridging the Resolut.pdf
Size
630.05 KB
Format
Adobe PDF
Checksum (MD5)
a7e0a35bd90c4af2a3d6239bc1f7eb79
Author(s)
Marti-Renom, Marc A.
Mirny, Leonid A.
Date Issued
July 2011
Journal
PLoS Computational Biology
Publisher
Public Library of Science
Citation
Marti-Renom, Marc A., and Leonid A. Mirny. “Bridging the Resolution Gap in Structural Modeling of 3D Genome Organization.” Ed. Philip E. Bourne. PLoS Computational Biology 7 (2011): e1002125.
Version
Final published version
Abstract
Over the last decade, and especially after the advent of fluorescent in situ hybridization imaging and chromosome conformation capture methods, the availability of experimental data on genome three-dimensional organization has dramatically increased. We now have access to unprecedented details of how genomes organize within the interphase nucleus. Development of new computational approaches to leverage this data has already resulted in the first three-dimensional structures of genomic domains and genomes. Such approaches expand our knowledge of the chromatin folding principles, which has been classically studied using polymer physics and molecular simulations. Our outlook describes computational approaches for integrating experimental data with polymer physics, thereby bridging the resolution gap for structural determination of genomes and genomic domains.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1371/journal.pcbi.1002125
