MULTI-LEVEL ANALYSIS AND DISPLAY OF MOUSE GENOME DATA

基因组计划将产生复杂和大量的绘图， 基因组所有分辨率水平的测序数据， DNA序列的比较图谱。这些数据将是无价的，不仅 对基因组结构问题感兴趣的人 和进化论，也给那些对功能性问题感兴趣的人， 生物形态学、生理学和行为。存储、分析、 有效地显示和分发这些数据， 必须开发基于计算机的系统。这两个目标的提出 计划项目是分析小鼠基因组组织， 计算机软件有助于这种分析。这些目标将是 实现方式：1.建立小鼠遗传学和 分子图谱数据，2.将这些数据转换为一种格式， 地图可以建，3。绘制染色体、遗传和分子图谱 的小鼠基因组，4.利用这些图谱和数据来研究基因组 组织与进化，5。开发软件， 同时显示和分析来自不同数据库的数据， 从基因组的不同分辨率水平，和6.分配 向科学界提供数据库、软件和分析结果。 我们相信基因数据库应该不仅仅是提供信息 水库相反，这些数据库应该作为更多的基础， 严格分析基因组各个层次之间的关系， organization.拟议的软件系统将使用户能够分析 用简单直观的计算机绘制基因组图谱和测序数据 接口.

The Genome Initiative will generate complex and voluminous mapping and sequencing data for all levels of resolution of the genome from comparative maps to DNA sequence. These data will be invaluable not only to individuals interested in structural problems of genome organization and evolution but also to those interested in functional problems of organismal morphology, physiology, and behavior. To store, analyze, display, and distribute these data efficiently and effectively, new computer-based systems must be developed. The two goals of this proposed program project are to analyze mouse genome organization and to develop computer software that facilitates this analysis. These goals will be achieved by: 1. developing specific databases of mouse genetic and molecular mapping data, 2. converting these data to a format from which maps can be built, 3. producing chromosomal, genetic and molecular maps of the mouse genome, 4. using these maps and data to investigate genome organization and evolution, 5. developing software that permits simultaneous display and analysis of data from different databases and from different levels of resolution of the genome, and 6. distributing databases, software and analytical results to the scientific community. We believe that genetic databases should serve s more than information reservoirs. Rather, these databases should be used as basis for more rigorously analyzing the relationships between each level of genome organization. The proposed software systems will enable users to analyze genome mapping and sequencing data with a simple, intuitive computer interface.