Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments
Broad Institute · Baylor College of Medicine · +8 more institutions
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/.
Citation impact
- FWCI
- 55.53
- Percentile
- 100%
- References
- 9
Authors
7- NCNeva C. DurandCorresponding
Broad Institute, Baylor College of Medicine, Massachusetts Institute of Technology, Rice University
- MSMuhammad S. Shamim
Baylor College of Medicine, Baylor Genetics, Rice University
- IMIdo Machol
Baylor College of Medicine, Baylor Genetics, Rice University
- SSSuhas S.P. Rao
Baylor College of Medicine, Rice University, Stanford University
- MHMiriam Huntley
Harvard University, Baylor College of Medicine, Rice University
Topics & keywords
- Computer science
- Visualization
- Software
- Open source
- Loop (graph theory)
- Data mining
- File format
- Scale (ratio)