VISUALIZATION ENVIRONMENTS FOR MULTI-SCALE BIOMEDICAL MODELING

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 这项研究的目标是开发一个基于组件的可视化环境，该环境对从事不同尺度和各种数据类型的分子结构功能关系方面工作的广泛的生物科学家有用。环境支持的结构信息范围从原子细节的基因序列和结构，到从电子显微镜和光学显微镜重建的数据。随着基因组计划扩展到功能基因组学领域，人们越来越需要可视化工具来整合生物物理范围内的数据和计算。从序列数据、单个分子结构和生物样本成像开发复杂模型的可能性将取决于支持多模式和多尺度能力的计算和可视化环境。通过利用NPACI计划正在开发的基于组件的交互基础设施，我们将能够高效和有效地设计和构建可视化工具，这些工具是为计算生物学社区日益增长的需求量身定做的，并将集成到基于网络的计算和协作环境中。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The goal of this research is to develop a component-based visualization environment that is useful to a broad range of biological scientists working on aspects of molecular structure function relationships at various scales and with a variety of data types. The environment supports structural information that ranges from gene sequence and structure at atomic detail, to data reconstructed from electron microscopy, and light microscopy. As the Genome Initiative expands into the area of functional genomics, there is an increasing need for visualization tools that integrate data and computation from across the biophysical range. The possibility of developing complex models from sequence data, individual molecular structures, and imaging of biological samples will depend upon computational and visualization environments that support multi-modal and multi-scale capabilities. By capitalizing on the component-based interaction infrastructure being developed within the NPACI program, we will be able to efficiently and effectively design and build visualization tools that are tailored to the growing needs of the computational biology community, and that will integrate into network based computational and collaborative environments.