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Quantitative Biology

ISSN 2095-4689

ISSN 2095-4697(Online)

CN 10-1028/TM

Postal Subscription Code 80-971

Quant. Biol.    2017, Vol. 5 Issue (2) : 183-190    https://doi.org/10.1007/s40484-017-0091-8
RESEARCH ARTICLE
HiC-3DViewer: a new tool to visualize Hi-C data in 3D space
Mohamed Nadhir Djekidel1, Mengjie Wang2, Michael Q. Zhang3,1(), Juntao Gao1()
1. MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing 100084, China
2. School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
3. Department of Biological Sciences, Center for Systems Biology, The University of Texas at Dallas, Richardson, TX 75080-3021, USA
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Abstract

Background: Although significant progress has been made to map chromatin structure at unprecedented resolution and scales, we are short of tools that enable the intuitive visualization and navigation along the three-dimensional (3D) structure of chromatins. The available tools people have so far are generally script-based or present basic features that do not easily enable the integration of genomic data along with 3D chromatin structure, hence, many scientists find themselves in the obligation to hack tools designed for other purposes such as tools for protein structure study.

Methods: We present HiC-3DViewer, a new browser-based interactive tool designed to provide an intuitive environment for investigators to facilitate the 3D exploratory analysis of Hi-C data along with many useful annotation functionalities. Among the key features of HiC-3DViewer relevant to chromatin conformation studies, the most important one is the 1D-to-2D-to-3D mapping, to highlight genomic regions of interest interactively. This feature enables investigators to explore their data at different levels/angels. Additionally, investigators can superpose different genomic signals (such as ChIP-Seq, SNP) on the top of the 3D structure.

Results: As a proof of principle we applied HiC-3DViewer to investigate the quality of Hi-C data and to show the spatial binding of GATA1 and GATA2 along the genome.

Conclusions: As a user-friendly tool, HiC-3DViewer enables the visualization of inter/intra-chromatin interactions and gives users the flexibility to customize the look-and-feel of the 3D structure with a simple click. HiC-3DViewer is implemented in Javascript and Python, and is freely available at: http://bioinfo.au.tsinghua.edu.cn/member/nadhir/HiC3DViewer/. Supplementary information (User Manual, demo data) is also available at this website.

Author Summary  Recently, many tools have developed to analyze and visualize chromatin conformation data. However, we are short of tools that enable the interactive visualization of the 3D chromatin structure. Here, we introduce HiC3D-Viewer, a new browser-based interactive visualization tool designed to provide an intuitive environment that facilitates the 3D exploratory analysis of Hi-C data. Among the key features of HiC-3DViewer is the 1D-to-2D-to-3D interactive highlight of genomic regions, display of inter- and intra-chromatin interactions and 3D model predictions, in addition to the flexibility to customize the displayed models, which make very valuable for the chromatin structure community.
Keywords Hi-C      3D genome visualization      chromatin structure prediction     
Corresponding Author(s): Michael Q. Zhang,Juntao Gao   
Online First Date: 30 December 2016    Issue Date: 07 June 2017
 Cite this article:   
Mohamed Nadhir Djekidel,Mengjie Wang,Michael Q. Zhang, et al. HiC-3DViewer: a new tool to visualize Hi-C data in 3D space[J]. Quant. Biol., 2017, 5(2): 183-190.
 URL:  
https://academic.hep.com.cn/qb/EN/10.1007/s40484-017-0091-8
https://academic.hep.com.cn/qb/EN/Y2017/V5/I2/183
Tool Specific to 3D genome display 3D model display Cis-interaction display Trans-interaction display Custom annotation Need scripting
PyMol [10] × × ×
GMol [11] × × × ×
Genome3D [12] × × ×
Tadkit [6] × × ×
HiC-3DViewer ×
Tab.1  Comparison of some widely used tools for 3D chromatin visualization.
Fig.1  Client-server architecture of HiC-3DViewer.
Fig.2  Display of some of HiC-3DViewer functionalities.
Fig.3  Gene annotation functionality.
Fig.4  Cis- and trans-chromatin interactions and their control panel.
Fig.5  The potential applications of HiC-3DViewer.
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[1] QB-17091-OF-DN_suppl_1 Download
[2] QB-17091-OF-DN_suppl_2 Download
[1] Zhijun Han, Gang Wei. Computational tools for Hi-C data analysis[J]. Quant. Biol., 2017, 5(3): 215-225.
[2] Yang Wang, Yanjian Li, Juntao Gao, Michael Q. Zhang. A novel method to identify topological domains using Hi-C data[J]. Quant. Biol., 2015, 3(2): 81-89.
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