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Juicebox.js Provides a Cloud-Based Visualization System for Hi-C Data

delete2018-02-01
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OA
AI
J
James Robinson
D
Douglass Turner
N
Neva C. Durand
H
Helga Thorvaldsdóttir
J
Jill P. Mesirov
E
Erez Lieberman Aiden *
DOI:10.1016/j.cels.2018.01.001delete
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Abstract

Abstract

En 中文
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.
Keywords:
HUMAN GENOME
PRINCIPLES
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Cell Systems cover
Cell Systems
IF:
7.7
Papers:
1.4K
Citations:
1.0W

Organization

University of California System cover
University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
U
University of California San Diego
Scholars:
4.6W
Papers: 3.5W
Citations: 924
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