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Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments

Author(s)
Durand, Neva C.; Shamim, Muhammad S.; Machol, Ido; Rao, Suhas S.P.; Huntley, Miriam H.; Aiden, Erez Lieberman; Lander, Eric Steven; ... Show more Show less
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Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/
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Abstract
Hi-C experiments explore the 3D structure of the genome, generating terabases of data to create high-resolution contact maps. Here, we introduce Juicer, an open-source tool for analyzing terabase-scale Hi-C datasets. Juicer allows users without a computational background to transform raw sequence data into normalized contact maps with one click. Juicer produces a hic file containing compressed contact matrices at many resolutions, facilitating visualization and analysis at multiple scales. Structural features, such as loops and domains, are automatically annotated. Juicer is available as open source software at http://aidenlab.org/juicer/.
Date issued
2016-07
URI
http://hdl.handle.net/1721.1/106809
Department
Massachusetts Institute of Technology. Department of Biology
Journal
Cell Systems
Publisher
Elsevier
Citation
Durand, Neva C. et al. “Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments.” Cell Systems 3.1 (2016): 95–98.
Version: Final published version
ISSN
2405-4712

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