HUMAN YEAST ARTIFICIAL CHROMOSOME LIBRARY DATABASE

华盛顿大学医学遗传学中心有一个广泛的 酵母人工染色体（YAC）文库，由超过50，000个克隆组成 插入大量人类基因组DNA这些克隆体被用于 大学内外的调查人员研究了这座建筑的结构 和基因的功能，导致了各种各样的遗传性疾病。的 克隆库规模和使用的持续增长威胁着我们的 管理图书馆和应对新的研究机会的能力。 我们建议建立一个全面的信息管理环境 这将有助于我们充分利用YAC图书馆的潜力。在 在构建这个信息管理环境的过程中，我们将解决一个 一些与其他生物医学领域直接相关的关键研究问题 面临类似信息管理危机的研究实验室： 1.我们将开发一个YAC库筛选的详细表示 实验被用作一个全面的YAC克隆的概念模型 代表整个实验室范围的信息系统 活动 2.我们将设计一个概念数据模型和一个正式的数据库模式， 一个YAC图书馆信息系统， YAC克隆方法中的改变可以容易地并入。这是一 资讯系统发展中重要研究课题， 传统的数据模型假设数据库中表示的“世界” 相对静态。因为基因学的快速发展 我们的数据模型必须足够灵活， 纳入新的发展。 3.我们将实施一个全面的数据库管理系统， 从正式的数据模型，以支持正在进行的YAC研究活动。 该系统将通过“序列标记”来识别克隆和引物对。 该系统将促进合作研究安排 通过跟踪从外部接收或发送的克隆 调查人员和记录YAC结构信息提供这些 investigators. 4.我们将开发一个强大的数据采集环境， 工作人员可以将实验结果直接输入信息 系统其目标是消除对易出错的传输的需要 的实验结果。 一个由遗传学家和医学计算机科学家组成的研究小组 我将通过创建一个最先进的、综合性的YAC来实现这些目标 信息管理环境是可访问的，有用的，可靠的， 并对技术变革做出反应，这可能最终成为 一个更全面的“分子遗传学”的核心组成部分 工作站"

The Washington University Center for Genetics in Medicine has an extensive yeast artificial chromosome (YAC) library, consisting of over 50,000 clones with large inserts of human genomic DNA. These clones are used by investigators both inside and outside the University to study the structure and function of genes contributing to a variety of generic disorders. The continued growth in the size and the use of the clone library threatens our ability to manage the library and to respond to new research opportunities. We propose to develop a comprehensive information management environment that will help us to exploit the full potential of the YAC library. In constructing this information management environment, we will address a number of key research issues of direct relevance to other biomedical research laboratories facing similar information management crises: 1. We will develop a detailed representation of YAC library screening experiments to be used as a conceptual model for a comprehensive YAC clone information system which represents the entire range of laboratory activities. 2. We will design a conceptual data model and a formal database schema for a YAC library information system so that technological and methodological changes in YAC cloning methods can readily be incorporated. This is a significant research issue in information systems development in that traditional data models assume that the "world" represented in the database is relatively static. Because of the rapid improvements in genetics research methodology, our data models must be flexible enough to incorporate new developments. 3. We will implement a comprehensive database management system, derived from the formal data model, to support ongoing YAC research activities. This system will identify clones and primer pairs by "sequence-tagged sites" (STS), and it will facilitate collaborative research arrangements by tracking clones which have been sent to or received from outside investigators and by recording YAC structural information provided by these investigators. 4. We will develop a robust data acquisition environment so that laboratory personnel can enter experimental results directly into the information system. The goal is to eliminate the need for error-prone transcriptions of experimental results. A research team composed of geneticists and medical computer scientists will achieve these goals by creating a state-of-art, comprehensive YAC information management environment that is accessible, useful, reliable, and responsive to technological change, and that may ultimately serve as a central component of a more comprehensive "molecular genetics workstation."