Interactive Ribosomal RNA Database

核糖体RNA是信息量最大、最有用、 研究生物分子。 生物学家主要在三个方面利用它 方法：（1）作为建立系统学的工具， 微生物（以及用于精炼和扩展 高等生物）;（2）作为系统发育特征 自然种群和作为辅助诊断细菌 感染;（3）作为研究进化的有力方法 （4）在其自身的权利，作为功能定义 翻译设备中的一个或多个组件。 随着可用核糖体RNA数据的增加，科学家们将 越来越需要自动化工具来帮助他们存储、管理 并分析这些数据。 该项目旨在满足那些 通过开发一个综合的rRNA数据管理 分析设施。 具体而言，该项目将需要（a） 开发新一代的软件， 操纵和维持核糖体RNA序列及相关的 数据，（B）保持核糖体RNA的最新收集 对齐格式的数据，（c）使用这些数据继续 分析进化关系，（d）整合核糖体 - 具有关于核糖体的其他信息的序列数据，以及 (e)将这些数据和程序分发给研究界。 除了满足感兴趣的研究人员的需求， 核糖体RNA数据，该项目将作为原型， 未来的系统，将需要开发管理大 序列数据的集合，这些数据将从许多基因组中产生， 目前正在进行的研究项目。

Ribosomal RNA is one of the most informative, useful and highly studied molecules in biology. Biologists utilize it in three main ways: (1) as a tool for establishing the systematics of microorganisms (and for refining and extending the systematics of higher organisms); (2) as a phylogenetic characterization of natural populations and as an adjunct to diagnosis of bacterial infections; (3) as a powerful approach to studying the evolutionary process; and (4) in its own right, as the function-defining component(s) in the translation apparatus. As the body of available ribosomal RNA data grows, scientists will increasingly require automated tools to help them store, manage, and analyze these data. This project is aimed at meeting those needs through the development of an integrated rRNA data management and analysis facility. Specifically, the project will entail (a) developing of a new generation of software for entering, manipulating, and maintaining ribosomal RNA sequences and related data, (b) maintaining an up-to-date collection of ribosomal RNA data in an aligned format, (c) using these data for continued analysis of evolutionary relationships, (d) integrating ribosomal sequence data with other information concerning the ribosome, and (e) distributing these data and programs to the research community. In addition to meeting the needs of researchers interested in ribosomal RNA data, this project will serve as a prototype for future systems that will need to be developed to manage the large collections of sequence data that will result from the many genome research projects currently underway.