59
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          SUMMARY

          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.

          Graphical abstract

          In Brief: 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 and sharing the resulting datasets. Users can create sharable visualizations of their own datasets in a few minutes using cloud storage providers such as Dropbox, Google, and Amazon without coding.

          Related collections

          Most cited references6

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Software tools for visualizing Hi-C data

          High-throughput assays for measuring the three-dimensional (3D) configuration of DNA have provided unprecedented insights into the relationship between DNA 3D configuration and function. Data interpretation from assays such as ChIA-PET and Hi-C is challenging because the data is large and cannot be easily rendered using standard genome browsers. An effective Hi-C visualization tool must provide several visualization modes and be capable of viewing the data in conjunction with existing, complementary data. We review five software tools that do not require programming expertise. We summarize their complementary functionalities, and highlight which tool is best equipped for specific tasks. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1161-y) contains supplementary material, which is available to authorized users.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The 3D Genome Browser: a web-based browser for visualizing 3D genome organization and long-range chromatin interactions

            Recent advent of 3C-based technologies such as Hi-C and ChIA-PET provides us an opportunity to explore chromatin interactions and 3D genome organization in an unprecedented scale and resolution. However, it remains a challenge to visualize chromatin interaction data due to its size and complexity. Here, we introduce the 3D Genome Browser (http://3dgenome.org), which allows users to conveniently explore both publicly available and their own chromatin interaction data. Users can also seamlessly integrate other “omics” data sets, such as ChIP-Seq and RNA-Seq for the same genomic region, to gain a complete view of both regulatory landscape and 3D genome structure for any given gene. Finally, our browser provides multiple methods to link distal cis-regulatory elements with their potential target genes, including virtual 4C, ChIA-PET, Capture Hi-C and cross-cell-type correlation of proximal and distal DNA hypersensitive sites, and therefore represents a valuable resource for the study of gene regulation in mammalian genomes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              HiChIP: Efficient and sensitive analysis of protein-directed genome architecture

              Genome conformation is central to gene control but challenging to interrogate. Here we present HiChIP, a protein-centric chromatin conformation method. HiChIP improves the yield of conformation-informative reads by over 10-fold and lowers input requirement over 100-fold relative to ChIA-PET. HiChIP of cohesin reveals multi-scale genome architecture with greater signal to background than in situ Hi-C. Thus, HiChIP adds to the toolbox of 3D genome structure and regulation for diverse biomedical applications.
                Bookmark

                Author and article information

                Journal
                101656080
                43733
                Cell Syst
                Cell Syst
                Cell systems
                2405-4712
                2405-4720
                27 March 2018
                07 February 2018
                28 February 2018
                16 July 2018
                : 6
                : 2
                : 256-258.e1
                Affiliations
                [1 ]School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
                [2 ]Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
                [3 ]The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
                [4 ]Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA
                [5 ]Department of Computer Science, Rice University, Houston, TX 77030, USA
                [6 ]Moores Cancer Center, University of California San Diego, La Jolla, CA 92037, USA
                Author notes
                [* ]Correspondence: erez@ 123456erez.com
                [7]

                Lead Contact

                Article
                NIHMS949176
                10.1016/j.cels.2018.01.001
                6047755
                29428417
                18024728-2f92-4124-8a87-fdd3bada68c9

                This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/).

                History
                Categories
                Article

                Comments

                Comment on this article