Department of Biochemistry & Molecular Biology, Medical University of South Carolina, 135 Cannon Street, Suite 303E, Charleston, SC 29425, USA.
BMC Bioinformatics. 2010 Sep 2;11:444. doi: 10.1186/1471-2105-11-444.
New technologies are enabling the measurement of many types of genomic and epigenomic information at scales ranging from the atomic to nuclear. Much of this new data is increasingly structural in nature, and is often difficult to coordinate with other data sets. There is a legitimate need for integrating and visualizing these disparate data sets to reveal structural relationships not apparent when looking at these data in isolation.
We have applied object-oriented technology to develop a downloadable visualization tool, Genome3D, for integrating and displaying epigenomic data within a prescribed three-dimensional physical model of the human genome. In order to integrate and visualize large volume of data, novel statistical and mathematical approaches have been developed to reduce the size of the data. To our knowledge, this is the first such tool developed that can visualize human genome in three-dimension. We describe here the major features of Genome3D and discuss our multi-scale data framework using a representative basic physical model. We then demonstrate many of the issues and benefits of multi-resolution data integration.
Genome3D is a software visualization tool that explores a wide range of structural genomic and epigenetic data. Data from various sources of differing scales can be integrated within a hierarchical framework that is easily adapted to new developments concerning the structure of the physical genome. In addition, our tool has a simple annotation mechanism to incorporate non-structural information. Genome3D is unique is its ability to manipulate large amounts of multi-resolution data from diverse sources to uncover complex and new structural relationships within the genome.
新技术使人们能够在原子到核的尺度范围内测量多种类型的基因组和表观基因组信息。这些新数据中的很大一部分具有越来越强的结构性,并且通常难以与其他数据集协调。因此,人们迫切需要整合和可视化这些不同的数据集,以揭示在单独观察这些数据时不明显的结构关系。
我们已经应用面向对象的技术开发了一个可下载的可视化工具 Genome3D,用于在人类基因组的规定三维物理模型内整合和显示表观基因组数据。为了整合和可视化大量数据,我们开发了新颖的统计和数学方法来减小数据的大小。据我们所知,这是第一个可以三维可视化人类基因组的此类工具。我们在这里描述了 Genome3D 的主要功能,并使用代表性的基本物理模型讨论了我们的多尺度数据框架。然后,我们演示了多分辨率数据集成的许多问题和好处。
Genome3D 是一个软件可视化工具,可探索广泛的结构基因组和表观基因组数据。来自不同来源的不同规模的数据可以在一个层次结构框架内进行整合,该框架可以轻松适应有关物理基因组结构的新发展。此外,我们的工具具有简单的注释机制,可以合并非结构信息。Genome3D 的独特之处在于它能够处理来自不同来源的大量多分辨率数据,以揭示基因组内复杂的新结构关系。