MULTI-LEVEL ANALYSIS AND DISPLAY OF MOUSE GENOME DATA

基因组计划将产生复杂和大量的测绘和 所有级别的基因组分辨率的测序数据来自 与DNA序列的比对。这些数据不仅将是无价的 对基因组组织的结构问题感兴趣的个人 和进化论，也给那些对功能问题感兴趣的人 生物体的形态、生理和行为。以存储、分析、 高效、高效地显示和分发这些数据 必须开发基于计算机的系统。这一提议的两个目标 计划项目是分析小鼠基因组组织并开发 促进这一分析的计算机软件。这些目标将是 通过：1.建立特定的小鼠遗传和基因数据库 分子作图数据，2.将这些数据转换为 可以建立图谱，3.制作染色体、遗传和分子图谱 4.利用这些图谱和数据研究基因组 组织和发展，5.开发软件，允许 同时显示和分析来自不同数据库和 来自不同水平的基因组分辨率，以及6.分布 向科学界提供数据库、软件和分析结果。 我们认为，基因数据库应该更多地为S服务，而不是信息 水库。相反，这些数据库应该被用作更多的基础 严格分析基因组各个层次之间的关系 组织。拟议的软件系统将使用户能够分析 使用简单、直观的计算机绘制基因组图和测序数据 界面。

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.