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. 2016 Jul;3(1):95-8.
doi: 10.1016/j.cels.2016.07.002.

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

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

Neva C Durand et al. Cell Syst. 2016 Jul.

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/.

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Figures

Figure 1
Figure 1. Juicer analyzes terabases of Hi-C data with one click
(A) Sequenced read pairs (horizontal bars) are aligned to the genome in parallel. Color indicates genomic position. Read pairs aligning to more than two positions are excluded. Those remaining are sorted by position and merged into a single list, at which point duplicate reads are removed. The .hic file stores contact matrices at many resolutions, which can be loaded into Juicebox for visualization. See Table S2. (B) Contact domains (yellow) are annotated using the Arrowhead algorithm. (C) Loops (cyan) are annotated using HiCCUPS.

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