4D nucleome modeling

被引:27
|
作者
Di Stefano, Marco [1 ]
Paulsen, Jonas [2 ]
Jost, Daniel [3 ]
Marti-Renom, Marc A. [1 ,4 ,5 ,6 ]
机构
[1] Barcelona Inst Sci & Technol BIST, CNAG CRG, Ctr Genom Regulat CRG, Baldiri & Reixac 4, Barcelona 08028, Spain
[2] Univ Oslo, Fac Nat Sci, Dept Biosci, EVOGENE, N-0316 Oslo, Norway
[3] Univ Lyon, ENS Lyon, Univ Claude Bernard, CNRS,Lab Biol & Modelisat Cellule, Lyon, France
[4] Barcelona Inst Sci & Technol BIST, Ctr Genom Regulat CRG, Dr Aiguader 88, Barcelona 08003, Spain
[5] Univ Pompeu Fabra UPF, Barcelona 08002, Spain
[6] ICREA, Pg Lluis Co 23, Barcelona 08010, Spain
基金
欧盟地平线“2020”;
关键词
LONG-RANGE INTERACTIONS; GENE-REGULATION; LOOP EXTRUSION; HUMAN GENOME; ORGANIZATION; DYNAMICS; DOMAINS; ARCHITECTURE; PRINCIPLES; DNA;
D O I
10.1016/j.gde.2020.10.004
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The intrinsic dynamic nature of chromosomes is emerging as a fundamental component in regulating DNA transcription, replication, and damage-repair among other nuclear functions. With this increased awareness, reinforced over the last ten years, many new experimental techniques, mainly based on microscopy and chromosome conformation capture, have been introduced to study the genome in space and time. Owing to the increasing complexity of these cutting-edge techniques, computational approaches have become of paramount importance to interpret, contextualize, and complement such experiments with new insights. Hence, it is becoming crucial for experimental biologists to have a clear understanding of the diverse theoretical modeling approaches available and the biological information each of them can provide.
引用
收藏
页码:25 / 32
页数:8
相关论文
共 50 条
  • [41] Modeling of Airway in 4D Lung CT Images
    Rasheed, Zahid
    Magee, Derek
    2012 INTERNATIONAL CONFERENCE ON ROBOTICS AND ARTIFICIAL INTELLIGENCE (ICRAI), 2012, : 187 - 194
  • [42] Automated breathing motion modeling for 4D CT
    ElNaqa, I
    Low, D
    Deasy, J
    Amini, A
    Nystrom, M
    MEDICAL PHYSICS, 2003, 30 (06) : 1415 - 1415
  • [43] 4D petroelastic modeling based on a presalt well
    Silva, E. P. A.
    Davolio, A.
    Santos, M. S.
    Schiozer, D. J.
    INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2020, 8 (03): : T639 - T649
  • [44] Biological modeling indices for 4D radiation therapy
    Anthony, J.
    Luxton, G.
    Leek, L.
    Chao, M.
    Carlson, D.
    Xing, L.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2008, 72 (01): : S629 - S629
  • [45] Physical modeling of 3D and 4D laser imaging
    Anna, Guillaume
    Hamoir, Dominique
    Hespel, Laurent
    Lafay, Fabien
    Riviere, Nicolas
    Tanguy, Bernard
    LASER RADAR TECHNOLOGY AND APPLICATIONS XV, 2010, 7684
  • [46] 4D Relationships: The Missing Link in 4D Scheduling
    Trang Dang
    Bargstaedt, Hans-Joachim
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2016, 142 (02)
  • [47] ANALYSIS OF MODERN SOFTWARE FOR VIRTUAL CONSTRUCTION (4D MODELING)
    Pimenov, S. I.
    RUSSIAN JOURNAL OF BUILDING CONSTRUCTION AND ARCHITECTURE, 2023, (03): : 61 - 72
  • [48] 4D Cubism: Modeling, Animation, and Fabrication of Artistic Shapes
    Corker-Marin, Quentin
    Pasko, Alexander
    Adzhiev, Valery
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2018, 38 (03) : 131 - 139
  • [49] Modeling magnetism of hexagonal Fe monolayers on 4d substrates
    Al-Zubi, A.
    Bihlmayer, G.
    Bluegel, S.
    PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS, 2011, 248 (10): : 2242 - 2247
  • [50] A Bayesian Approach to Multi-view 4D Modeling
    Huang, Chun-Hao
    Cagniart, Cedric
    Boyer, Edmond
    Ilic, Slobodan
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 116 (02) : 115 - 135