Virtual reality inspection of chromatin 3D and 2D data

被引:1
|
作者
Molina, Elena [1 ]
Kouril, David [2 ]
Isenberg, Tobias [3 ]
Kozlikova, Barbora [4 ]
Vazquez, Pere-Pau [1 ]
机构
[1] UPC, ViRVIG Grp, Jordi Girona 3-5, Barcelona 08034, Spain
[2] Harvard Med Sch, Dept Biomed Informat, 10 Shattuck St,Suite 514, Boston, MA 02115 USA
[3] Univ Paris Saclay, CNRS, Inria, LISN, Gif Sur Yvette, France
[4] Masaryk Univ, Bot 554-68a, Brno 60200, Czech Republic
来源
COMPUTERS & GRAPHICS-UK | 2024年 / 124卷
关键词
Computers and graphics; Formatting; Guidelines; HUMAN GENOME; VISUALIZATION; PRINCIPLES; BROWSER; DOMAINS; TOOL;
D O I
10.1016/j.cag.2024.104059
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Understanding the packing of long DNA strands into chromatin is one of the ultimate challenges in genomic research. An intrinsic part of this complex problem is studying the chromatin's spatial structure. Biologists reconstruct 3D models of chromatin from experimental data, yet the exploration and analysis of such 3D structures is limited in existing genomic data visualization tools. To improve this situation, we investigated the current options of immersive methods and designed a prototypical VR visualization tool for 3D chromatin models that leverages virtual reality to deal with the spatial data. We showcase the tool in three primary use cases. First, we provide an overall 3D shape overview of the chromatin to facilitate the identification of regions of interest and the selection for further investigation. Second, we include the option to export the selected regions and elements in the BED format, which can be loaded into common analytical tools. Third, we integrate epigenetic modification data along the sequence that influence gene expression, either as in-world 2D charts or overlaid on the 3D structure itself. We developed our application in collaboration with two domain experts and gathered insights from two informal studies with five other experts.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Value of Virtual Reality Technology in Image Inspection and 3D Geometric Modeling
    Lu, Longyu
    Ma, Jinkai
    Qu, Shuying
    IEEE ACCESS, 2020, 8 : 139070 - 139083
  • [32] Optical sensors and algorithms for 3D inspection, virtual reality and reverse engineering
    Häusler, G
    OPTICAL MEASUREMENT SYSTEMS FOR INDUSTRIAL INSPECTION II: APPLICATION IN INDUSTRIAL DESIGN, 2001, 4398 : 303 - 303
  • [33] A Virtual Reality Interface for Interactions with Spatiotemporal 3D Data
    Quant, Hunter
    Banerjee, Sean
    Banerjee, Natasha Kholgade
    MULTIMEDIA MODELING, MMM 2018, PT II, 2018, 10705 : 343 - 347
  • [34] Visualization and interpretation of geologic data in 3D virtual reality
    Kinsland, Gary L.
    Borst, Christoph W.
    INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2015, 3 (03): : SX13 - SX20
  • [35] 3D data captured with 2D camera
    不详
    PHOTONICS SPECTRA, 2015, 49 (11) : 30 - 31
  • [36] A 2D/3D Data Fusion with Range Estimation on 2D sensor
    Takashi, Matsuzaki
    Hiroshi, Kameda
    Kazuhiko, Yamamoto
    Tatsuo, Fuji
    Ryoji, Maekawa
    2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7, 2008, : 3296 - +
  • [37] Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data
    Zhu, Xiaomeng
    Martensson, Par
    Hanson, Lars
    Bjorkman, Marten
    Maki, Atsuto
    JOURNAL OF INTELLIGENT MANUFACTURING, 2024, 36 (4) : 2567 - 2582
  • [38] Interpreting 2D Gesture Annotations in 3D Augmented Reality
    Nuernberger, Benjamin
    Lien, Kuo-Chin
    Hollerer, Tobias
    Turk, Matthew
    2016 IEEE SYMPOSIUM ON 3D USER INTERFACES (3DUI), 2016, : 149 - 158
  • [39] An Augmented Reality Approach for Initializing 2D/3D Registration
    Gong, Ren Hui
    Guler, Ozgur
    Lovejoy, John
    Yaniv, Ziv
    AUGMENTED REALITY ENVIRONMENTS FOR MEDICAL IMAGING AND COMPUTER-ASSISTED INTERVENTIONS, 2013, 8090 : 117 - 126
  • [40] What User Interface to Use for Virtual Reality? 2D, 3D or Speech-A User Study
    Weiss, Yannick
    Hepperle, Daniel
    Siess, Andreas
    Woelfel, Matthias
    2018 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW), 2018, : 50 - 57