A Virtual Reality Environment for Genomic Data Visualization

基因组数据可视化的虚拟现实环境

• 批准号: 7218900
• 负责人: Fatima Aziz Merchant
• 金额: $ 12.37万
• 依托单位: SOFT IMAGING, LLC
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-13 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7218900
• 关键词: 3-Dimensional; Architecture; Area; Behavior; Bioinformatics; Biomedical Research; Chemicals; Class; Cognition; Color; Complex; Computer software; DNA; DNA Microarray Chip; DNA Microarray format; Data; Data Analyses; Data Display; Databases; Development; Diagnostic; Dimensions; Discriminant Analysis; Disease; Environment; Face; Focus Groups; Gene Expression; Genes; Genetic; Genomics; Human; Imagery; Investments; Maps; Marketing; Methods; Molecular Biology; Numbers; Outcome; Pattern Recognition; Pattern Recognition Systems; Perception; Pharmaceutical Preparations; Pharmacologic Substance; Phase; Phase I Clinical Trials; Pliability; Positioning Attribute; Primary Health Care; Principal Component Analysis; Proteomics; Rate; Research; Research Personnel; Science; Scientist; Shapes; Statistical Methods; System; Techniques; Technology; Texture; Time; Walking; Work; abstracting; base; commercial application; cost; cost effective; data mining; design; drug discovery; improved; independent component analysis; innovation; instrument; mecarzole; next generation; prototype; research facility; research study; size; technological innovation; theories; tool; virtual; virtual reality

DESCRIPTION (provided by applicant): This project will develop a new virtual reality display environment for visualization of multi-channel, multi- dimensional data from genomic experiments. The advent of genomics and DNA micro arrays has changed the situation in research drastically. Researchers now must sift through reams of experimental data to detect relationships among groups of genes. Therefore, new data visualization tools are required to support modern science. Our approach is to combine statistical data projection with virtual reality (VR) display technology in a flexible way that projects N-dimensional data (3=N) to M dimensions (3=M=10), and displays it to the investigator in a 3-D virtual space. A unique feature of the proposed system is that it will provide the investigator the option to select among a number of data projection techniques, including principal component analysis (PCA), linear discriminant analysis (LDA), singular value decomposition (SVD), multi-dimensional scaling (MDS), projection pursuit (PP), self-organizing maps (SOMs), independent component analysis (ICA), and others. Data will be displayed as iconic objects floating in space that differ in size, shape, color, texture, position, orientation and spin. The VR display will be implemented as a workstation-based fly-through environment in this Phase I study. The aim of the Phase I project is to demonstrate clearly the value of VR- based data visualization tools in genomic data analysis. If Phase I is successful, a VR walk-through immersive environment will be developed and evaluated in Phase II. The resulting commercial hardware/software package will provide significantly improved scientific data visualization and interpretation to assist genomics, proteomics and bioinformatics researchers, and pattern recognition system developers in the interpretation of their overwhelmingly complex experimental data. The resulting commercial hardware/software package will provide significantly improved scientific data visualization and interpretation to assist genomics, proteomics and bioinformatics researchers, and pattern recognition system developers in the interpretation of their overwhelmingly complex experimental data. The primary healthcare benefits that will accrue from this development will result from the accelerated development of diagnostics and treatments for diseases.

描述（由申请人提供）：该项目将开发一个新的虚拟现实显示环境，用于可视化基因组实验的多渠道多维数据。基因组学和DNA微阵列的出现已大大改变了研究的状况。现在，研究人员必须筛选实验数据的转换，以检测基因组之间的关系。因此，需要新的数据可视化工具来支持现代科学。我们的方法是以灵活的方式将统计数据投影与虚拟现实（VR）显示技术相结合，该技术将N维数据（3 = n）投射到M维（3 = M = 10），并将其显示给3-D虚拟空间中的研究人员。提出的系统的一个独特功能是，它将为研究人员提供在许多数据投影技术中选择的选项，包括主要组件分析（PCA），线性判别分析（LDA），单数值分解（SVD），多维量表缩放（MDS），投影追求（PP），自我组合的MAPS（SOLS），ICS（ICA），独立的（ICA），IC（IC）（ICA），构图（ICA）。数据将显示为在大小，形状，颜色，纹理，位置，方向和旋转的空间中漂浮的标志物体。在本阶段I研究中，VR显示将作为基于工作站的直通环境实现。 I阶段项目的目的是清楚地证明基因组数据分析中基于VR的数据可视化工具的价值。如果第一阶段成功，将在II期中开发和评估VR漫步的沉浸式环境。由此产生的商业硬件/软件包将提供显着改进的科学数据可视化和解释，以帮助基因组学，蛋白质组学和生物信息学研究人员，以及模式识别系统开发人员的压倒性复杂实验数据。由此产生的商业硬件/软件包将提供显着改进的科学数据可视化和解释，以帮助基因组学，蛋白质组学和生物信息学研究人员，以及模式识别系统开发人员的压倒性复杂实验数据。从这一发展中获得的主要医疗保健益处将源于诊断和疾病治疗的加速发展。