REPRESENTATION AND RETRIEVAL OF PHYSICAL MAPPING DATA

我们建议开发一个用于存储、检索和图形化的数据库， 显示由几个实验室制作的物理绘图数据， 耶鲁大学人类遗传学和生物学系 在不久的将来， 大量描述人类基因组的物理绘图数据将被 在耶鲁大学和其他地方生产，并将需要存储在一个有组织的 时尚，因此可以轻松检索和显示。 许多不同类型 的数据正在产生的特征基因组在不同的 细节的层次。 这种信息通常是不确定和不完整的， 在一个层次上的数据可以与（加强，补充或 在另一个层面上的数据。 检索此数据的例程 应该聪明地适应不确定性，不完整性和 数据的相互依赖性。 物理映射数据的表示。 Kenneth博士的实验室 基德、大卫沃德、谢尔曼韦斯曼、弗兰克拉德尔、斯蒂芬里德斯和 艾伦贝尔目前正在制作大量的实物地图 数据，包括大规模限制性图谱，重叠cosmetics集， 酵母人工染色体的作图和原位杂交数据。 我们将开发和完善此数据的适当表示。 我们 将特别关注如何最好地表示固有的不确定性 数据中的相互依赖性，以及基于 数据 数据的智能检索和简洁显示。 我们将开发 包含多种类型知识的例程， 检索数据。 我们还将开发例程来显示数据 在不同的细节层次上以图形方式显示，包括 基因图谱 虽然数据库中的数据本身将是复杂的， 相互关联，显示例程将被设计为呈现数据 在适当的细节层次上。 例如， 染色体或大或小的染色体区域将是简洁的， 很容易理解。

We proposed to develop a database for storage, retrieval, and graphical display of physical mapping data being produced by several laboratories at the Yale Departments of Human Genetics and Biology. In the near future, large amounts of physical mapping data describing the human genome will be produced at Yale and elsewhere, and will need to be stored in an organized fashion so it can be retrieved and displayed easily. Many different types of data are being produced which characterize the genome at different levels of detail. This information is typically uncertain and incomplete, and data at one level may interact with (reinforce, complement or contradict) data at another level. The routines that retrieve this data should adapt intelligently to the uncertainty, incompleteness and interdependencies of the data. Representation of Physical Mapping Data. The laboratories of Drs. Kenneth Kidd, David Ward, Sherman Weissman, Frank Ruddle, Stephen Reeders, and Allen Bale are currently producing large quantities of physical mapping data, including large scale restriction maps, sets of overlapping cosmids, mapping of yeast artificial chromosomes, and in situ hybridization data. We will develop and refine an appropriate representation for this data. We will focus particularly on how best to represent the inherent uncertainties and interdependencies in the data, and consensus conclusions based on the data. Intelligent Retrieval and Concise Display of the Data. We will develop routines that incorporate several types of knowledge to allow intelligent retrieval of the data. We will also develop routines to display the data graphically at different levels of detail, including the construction of gene maps. Although the data in the database itself will be complex and interrelated, the display routines will be designed to present the data clearly, at an appropriate level of detail. For example, a map of a chromosome or of a large or small chromosomal region will be concise and easily understood.