Juicebox.js Provides a Cloud-Based Visualization System for Hi-C Data
Juicebox.js Provides a Cloud-Based Visualization System for Hi-C Data
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DOI：
10.1016/j.cels.2018.01.001
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发表时间：
2018-02-28
期刊：
影响因子：
9.3
通讯作者：
Aiden, Erez Lieberman
中科院分区：
文献类型：
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作者：
Robinson, James T.;Turner, Douglass;Aiden, Erez Lieberman
Hi-C等接触映射实验探索了基因组如何在3D中折叠。在这里，我们介绍Juicebox.js，一个基于云的Web应用程序，用于探索结果数据集。与最初的Juicebox应用程序一样，Juicebox.js允许用户使用类似于Google Earth的界面放大和缩小此类数据集。Juicebox.js还具有许多旨在促进数据再现和共享的功能。此外，Juicebox.js将浏览器的确切状态编码在可共享的URL中。为新的Hi-C数据集创建公共浏览器不需要编码，可以在一分钟内完成。网络应用程序还可以在线创建交互式数据，以补充或取代普通的期刊数据。当与Juicer结合使用时，这使得整个数据分析过程变得透明，从原始读取到发布数字的每一步都可以作为开源代码公开。
Contact mapping experiments such as Hi-C explore how genomes fold in 3D. Here, we introduce Juicebox.js, a cloud-based web application for exploring the resulting datasets. Like the original Juicebox application, Juicebox.js allows users to zoom in and out of such datasets using an interface similar to Google Earth. Juicebox.js also has many features designed to facilitate data reproducibility and sharing. Furthermore, Juicebox.js encodes the exact state of the browser in a shareable URL. Creating a public browser for a new Hi-C dataset does not require coding and can be accomplished in under a minute. The web app also makes it possible to create interactive figures online that can complement or replace ordinary journal figures. When combined with Juicer, this makes the entire process of data analysis transparent, insofar as every step from raw reads to published figure is publicly available as open source code.